from pymongo import MongoClient
from pandas import DataFrame
from pprint import pprint
# connect to MongoDB, change the << MONGODB URL >> to reflect your own connection string
client = MongoClient("mongodb://78.47.77.101:27017/root")
db=client.admin
# Issue the serverStatus command and print the results
serverStatusResult=db.command("serverStatus")
pprint(serverStatusResult)
{'asserts': {'msg': 0, 'regular': 0, 'rollovers': 0, 'user': 356, 'warning': 0},
'connections': {'active': 1,
'available': 51135,
'current': 65,
'totalCreated': 1084},
'electionMetrics': {'averageCatchUpOps': 0.0,
'catchUpTakeover': {'called': 0, 'successful': 0},
'electionTimeout': {'called': 0, 'successful': 0},
'freezeTimeout': {'called': 0, 'successful': 0},
'numCatchUps': 0,
'numCatchUpsAlreadyCaughtUp': 0,
'numCatchUpsFailedWithError': 0,
'numCatchUpsFailedWithNewTerm': 0,
'numCatchUpsFailedWithReplSetAbortPrimaryCatchUpCmd': 0,
'numCatchUpsSkipped': 0,
'numCatchUpsSucceeded': 0,
'numCatchUpsTimedOut': 0,
'numStepDownsCausedByHigherTerm': 0,
'priorityTakeover': {'called': 0, 'successful': 0},
'stepUpCmd': {'called': 0, 'successful': 0}},
'extra_info': {'input_blocks': 0,
'involuntary_context_switches': 21063,
'maximum_resident_set_kb': 786492,
'note': 'fields vary by platform',
'output_blocks': 4979416,
'page_faults': 0,
'page_reclaims': 890334,
'system_time_us': 605054259,
'user_time_us': 1622339070,
'voluntary_context_switches': 12225439},
'flowControl': {'enabled': True,
'isLagged': False,
'isLaggedCount': 0,
'isLaggedTimeMicros': 0,
'locksPerOp': 0.0,
'sustainerRate': 0,
'targetRateLimit': 1000000000,
'timeAcquiringMicros': 134296},
'freeMonitoring': {'state': 'undecided'},
'globalLock': {'activeClients': {'readers': 0, 'total': 0, 'writers': 0},
'currentQueue': {'readers': 0, 'total': 0, 'writers': 0},
'totalTime': 339944882000},
'host': 'kibana',
'localTime': datetime.datetime(2020, 2, 24, 18, 55, 58, 709000),
'locks': {'Collection': {'acquireCount': {'W': 4361, 'r': 358764, 'w': 140311},
'acquireWaitCount': {'w': 6},
'timeAcquiringMicros': {'w': 137271}},
'Database': {'acquireCount': {'W': 4, 'r': 352429, 'w': 144797}},
'Global': {'acquireCount': {'W': 4, 'r': 1032644, 'w': 144801}},
'Mutex': {'acquireCount': {'r': 8126322}},
'ParallelBatchWriterMode': {'acquireCount': {'r': 151042}},
'ReplicationStateTransition': {'acquireCount': {'w': 1177449}},
'oplog': {'acquireCount': {'r': 340100}}},
'logicalSessionRecordCache': {'activeSessionsCount': 15,
'lastSessionsCollectionJobCursorsClosed': 0,
'lastSessionsCollectionJobDurationMillis': 5,
'lastSessionsCollectionJobEntriesEnded': 0,
'lastSessionsCollectionJobEntriesRefreshed': 23,
'lastSessionsCollectionJobTimestamp': datetime.datetime(2020, 2, 24, 18, 55, 15, 283000),
'lastTransactionReaperJobDurationMillis': 1,
'lastTransactionReaperJobEntriesCleanedUp': 0,
'lastTransactionReaperJobTimestamp': datetime.datetime(2020, 2, 24, 18, 55, 15, 281000),
'sessionCatalogSize': 0,
'sessionsCollectionJobCount': 1134,
'transactionReaperJobCount': 1134},
'mem': {'bits': 64, 'resident': 757, 'supported': True, 'virtual': 2355},
'metrics': {'commands': {'<UNKNOWN>': 216,
'_addShard': {'failed': 0, 'total': 0},
'_cloneCatalogData': {'failed': 0, 'total': 0},
'_cloneCollectionOptionsFromPrimaryShard': {'failed': 0,
'total': 0},
'_configsvrAddShard': {'failed': 0, 'total': 0},
'_configsvrAddShardToZone': {'failed': 0, 'total': 0},
'_configsvrBalancerStart': {'failed': 0, 'total': 0},
'_configsvrBalancerStatus': {'failed': 0, 'total': 0},
'_configsvrBalancerStop': {'failed': 0, 'total': 0},
'_configsvrClearJumboFlag': {'failed': 0, 'total': 0},
'_configsvrCommitChunkMerge': {'failed': 0,
'total': 0},
'_configsvrCommitChunkMigration': {'failed': 0,
'total': 0},
'_configsvrCommitChunkSplit': {'failed': 0,
'total': 0},
'_configsvrCommitMovePrimary': {'failed': 0,
'total': 0},
'_configsvrCreateCollection': {'failed': 0,
'total': 0},
'_configsvrCreateDatabase': {'failed': 0, 'total': 0},
'_configsvrDropCollection': {'failed': 0, 'total': 0},
'_configsvrDropDatabase': {'failed': 0, 'total': 0},
'_configsvrEnableSharding': {'failed': 0, 'total': 0},
'_configsvrMoveChunk': {'failed': 0, 'total': 0},
'_configsvrMovePrimary': {'failed': 0, 'total': 0},
'_configsvrRemoveShard': {'failed': 0, 'total': 0},
'_configsvrRemoveShardFromZone': {'failed': 0,
'total': 0},
'_configsvrShardCollection': {'failed': 0,
'total': 0},
'_configsvrUpdateZoneKeyRange': {'failed': 0,
'total': 0},
'_flushDatabaseCacheUpdates': {'failed': 0,
'total': 0},
'_flushRoutingTableCacheUpdates': {'failed': 0,
'total': 0},
'_getNextSessionMods': {'failed': 0, 'total': 0},
'_getUserCacheGeneration': {'failed': 0, 'total': 0},
'_isSelf': {'failed': 0, 'total': 0},
'_mergeAuthzCollections': {'failed': 0, 'total': 0},
'_migrateClone': {'failed': 0, 'total': 0},
'_movePrimary': {'failed': 0, 'total': 0},
'_recvChunkAbort': {'failed': 0, 'total': 0},
'_recvChunkCommit': {'failed': 0, 'total': 0},
'_recvChunkStart': {'failed': 0, 'total': 0},
'_recvChunkStatus': {'failed': 0, 'total': 0},
'_shardsvrShardCollection': {'failed': 0, 'total': 0},
'_transferMods': {'failed': 0, 'total': 0},
'abortTransaction': {'failed': 0, 'total': 0},
'aggregate': {'failed': 0, 'total': 14},
'appendOplogNote': {'failed': 0, 'total': 0},
'applyOps': {'failed': 0, 'total': 0},
'authenticate': {'failed': 0, 'total': 0},
'availableQueryOptions': {'failed': 0, 'total': 0},
'buildInfo': {'failed': 0, 'total': 672},
'checkShardingIndex': {'failed': 0, 'total': 0},
'cleanupOrphaned': {'failed': 0, 'total': 0},
'cloneCollection': {'failed': 0, 'total': 0},
'cloneCollectionAsCapped': {'failed': 0, 'total': 0},
'collMod': {'failed': 0, 'total': 0},
'collStats': {'failed': 0, 'total': 1911},
'commitTransaction': {'failed': 0, 'total': 0},
'compact': {'failed': 0, 'total': 0},
'connPoolStats': {'failed': 0, 'total': 0},
'connPoolSync': {'failed': 0, 'total': 0},
'connectionStatus': {'failed': 0, 'total': 0},
'convertToCapped': {'failed': 0, 'total': 0},
'coordinateCommitTransaction': {'failed': 0,
'total': 0},
'count': {'failed': 0, 'total': 22},
'create': {'failed': 0, 'total': 0},
'createIndexes': {'failed': 0, 'total': 0},
'createRole': {'failed': 0, 'total': 0},
'createUser': {'failed': 0, 'total': 0},
'currentOp': {'failed': 0, 'total': 0},
'dataSize': {'failed': 0, 'total': 0},
'dbHash': {'failed': 0, 'total': 0},
'dbStats': {'failed': 0, 'total': 0},
'delete': {'failed': 0, 'total': 19},
'distinct': {'failed': 0, 'total': 0},
'driverOIDTest': {'failed': 0, 'total': 0},
'drop': {'failed': 125, 'total': 2299},
'dropAllRolesFromDatabase': {'failed': 0, 'total': 0},
'dropAllUsersFromDatabase': {'failed': 0, 'total': 0},
'dropConnections': {'failed': 0, 'total': 0},
'dropDatabase': {'failed': 0, 'total': 0},
'dropIndexes': {'failed': 0, 'total': 0},
'dropRole': {'failed': 0, 'total': 0},
'dropUser': {'failed': 0, 'total': 0},
'endSessions': {'failed': 0, 'total': 43},
'explain': {'failed': 0, 'total': 0},
'features': {'failed': 0, 'total': 0},
'filemd5': {'failed': 0, 'total': 0},
'find': {'failed': 0, 'total': 1371},
'findAndModify': {'failed': 0, 'total': 0},
'flushRouterConfig': {'failed': 0, 'total': 0},
'fsync': {'failed': 0, 'total': 0},
'fsyncUnlock': {'failed': 0, 'total': 0},
'geoSearch': {'failed': 0, 'total': 0},
'getCmdLineOpts': {'failed': 0, 'total': 0},
'getDatabaseVersion': {'failed': 0, 'total': 0},
'getDiagnosticData': {'failed': 0, 'total': 0},
'getFreeMonitoringStatus': {'failed': 0, 'total': 0},
'getLastError': {'failed': 0, 'total': 444},
'getLog': {'failed': 0, 'total': 0},
'getMore': {'failed': 0, 'total': 16},
'getParameter': {'failed': 0, 'total': 0},
'getShardMap': {'failed': 0, 'total': 0},
'getShardVersion': {'failed': 0, 'total': 0},
'getnonce': {'failed': 0, 'total': 435},
'grantPrivilegesToRole': {'failed': 0, 'total': 0},
'grantRolesToRole': {'failed': 0, 'total': 0},
'grantRolesToUser': {'failed': 0, 'total': 0},
'hostInfo': {'failed': 0, 'total': 1},
'insert': {'failed': 0, 'total': 8342},
'invalidateUserCache': {'failed': 0, 'total': 0},
'isMaster': {'failed': 0, 'total': 2680},
'killAllSessions': {'failed': 0, 'total': 0},
'killAllSessionsByPattern': {'failed': 0, 'total': 0},
'killCursors': {'failed': 0, 'total': 35},
'killOp': {'failed': 0, 'total': 0},
'killSessions': {'failed': 0, 'total': 0},
'listCollections': {'failed': 0, 'total': 184},
'listCommands': {'failed': 0, 'total': 0},
'listDatabases': {'failed': 0, 'total': 173},
'listIndexes': {'failed': 0, 'total': 2304},
'lockInfo': {'failed': 0, 'total': 0},
'logRotate': {'failed': 0, 'total': 0},
'logout': {'failed': 0, 'total': 0},
'mapReduce': {'failed': 0, 'total': 0},
'mapreduce': {'shardedfinish': {'failed': 0,
'total': 0}},
'mergeChunks': {'failed': 0, 'total': 0},
'moveChunk': {'failed': 0, 'total': 0},
'ping': {'failed': 0, 'total': 59710},
'planCacheClear': {'failed': 0, 'total': 0},
'planCacheClearFilters': {'failed': 0, 'total': 0},
'planCacheListFilters': {'failed': 0, 'total': 0},
'planCacheListPlans': {'failed': 0, 'total': 0},
'planCacheListQueryShapes': {'failed': 0, 'total': 0},
'planCacheSetFilter': {'failed': 0, 'total': 0},
'prepareTransaction': {'failed': 0, 'total': 0},
'profile': {'failed': 0, 'total': 0},
'reIndex': {'failed': 0, 'total': 0},
'refreshSessions': {'failed': 0, 'total': 0},
'renameCollection': {'failed': 0, 'total': 0},
'repairCursor': {'failed': 0, 'total': 0},
'repairDatabase': {'failed': 0, 'total': 0},
'replSetAbortPrimaryCatchUp': {'failed': 0,
'total': 0},
'replSetFreeze': {'failed': 0, 'total': 0},
'replSetGetConfig': {'failed': 0, 'total': 0},
'replSetGetRBID': {'failed': 0, 'total': 0},
'replSetGetStatus': {'failed': 0, 'total': 0},
'replSetHeartbeat': {'failed': 0, 'total': 0},
'replSetInitiate': {'failed': 0, 'total': 0},
'replSetMaintenance': {'failed': 0, 'total': 0},
'replSetReconfig': {'failed': 0, 'total': 0},
'replSetRequestVotes': {'failed': 0, 'total': 0},
'replSetResizeOplog': {'failed': 0, 'total': 0},
'replSetStepDown': {'failed': 0, 'total': 0},
'replSetStepDownWithForce': {'failed': 0, 'total': 0},
'replSetStepUp': {'failed': 0, 'total': 0},
'replSetSyncFrom': {'failed': 0, 'total': 0},
'replSetUpdatePosition': {'failed': 0, 'total': 0},
'resetError': {'failed': 0, 'total': 0},
'revokePrivilegesFromRole': {'failed': 0, 'total': 0},
'revokeRolesFromRole': {'failed': 0, 'total': 0},
'revokeRolesFromUser': {'failed': 0, 'total': 0},
'rolesInfo': {'failed': 0, 'total': 0},
'saslContinue': {'failed': 0, 'total': 0},
'saslStart': {'failed': 0, 'total': 0},
'serverStatus': {'failed': 0, 'total': 158},
'setFeatureCompatibilityVersion': {'failed': 0,
'total': 0},
'setFreeMonitoring': {'failed': 0, 'total': 0},
'setIndexCommitQuorum': {'failed': 0, 'total': 0},
'setParameter': {'failed': 0, 'total': 0},
'setShardVersion': {'failed': 0, 'total': 0},
'shardConnPoolStats': {'failed': 0, 'total': 0},
'shardingState': {'failed': 0, 'total': 0},
'shutdown': {'failed': 0, 'total': 0},
'splitChunk': {'failed': 0, 'total': 0},
'splitVector': {'failed': 0, 'total': 0},
'startRecordingTraffic': {'failed': 0, 'total': 0},
'startSession': {'failed': 0, 'total': 0},
'stopRecordingTraffic': {'failed': 0, 'total': 0},
'top': {'failed': 0, 'total': 0},
'touch': {'failed': 0, 'total': 0},
'unsetSharding': {'failed': 0, 'total': 0},
'update': {'failed': 0, 'total': 1160},
'updateRole': {'failed': 0, 'total': 0},
'updateUser': {'failed': 0, 'total': 0},
'usersInfo': {'failed': 0, 'total': 7},
'validate': {'failed': 0, 'total': 0},
'voteCommitIndexBuild': {'failed': 0, 'total': 0},
'waitForFailPoint': {'failed': 0, 'total': 0},
'whatsmyuri': {'failed': 0, 'total': 151}},
'cursor': {'open': {'noTimeout': 0, 'pinned': 0, 'total': 0},
'timedOut': 66},
'document': {'deleted': 1031,
'inserted': 7622740,
'returned': 80025,
'updated': 6027},
'getLastError': {'wtime': {'num': 0, 'totalMillis': 0},
'wtimeouts': 0},
'operation': {'scanAndOrder': 0, 'writeConflicts': 0},
'query': {'planCacheTotalSizeEstimateBytes': 0,
'updateOneOpStyleBroadcastWithExactIDCount': 0},
'queryExecutor': {'scanned': 5840, 'scannedObjects': 610255},
'record': {'moves': 0},
'repl': {'apply': {'attemptsToBecomeSecondary': 0,
'batchSize': 0,
'batches': {'num': 0, 'totalMillis': 0},
'ops': 0},
'buffer': {'count': 0, 'maxSizeBytes': 0, 'sizeBytes': 0},
'executor': {'networkInterface': 'DEPRECATED: '
'getDiagnosticString is '
'deprecated in '
'NetworkInterfaceTL',
'pool': {'inProgressCount': 0},
'queues': {'networkInProgress': 0,
'sleepers': 0},
'shuttingDown': False,
'unsignaledEvents': 0},
'initialSync': {'completed': 0,
'failedAttempts': 0,
'failures': 0},
'network': {'bytes': 0,
'getmores': {'num': 0, 'totalMillis': 0},
'notMasterLegacyUnacknowledgedWrites': 0,
'notMasterUnacknowledgedWrites': 0,
'ops': 0,
'readersCreated': 0},
'stateTransition': {'lastStateTransition': '',
'userOperationsKilled': 0,
'userOperationsRunning': 0}},
'ttl': {'deletedDocuments': 152, 'passes': 5665}},
'network': {'bytesIn': 2941923640,
'bytesOut': 72273383,
'compression': {'snappy': {'compressor': {'bytesIn': 0,
'bytesOut': 0},
'decompressor': {'bytesIn': 0,
'bytesOut': 0}},
'zlib': {'compressor': {'bytesIn': 0,
'bytesOut': 0},
'decompressor': {'bytesIn': 0,
'bytesOut': 0}},
'zstd': {'compressor': {'bytesIn': 0,
'bytesOut': 0},
'decompressor': {'bytesIn': 0,
'bytesOut': 0}}},
'numRequests': 78197,
'physicalBytesIn': 2941923640,
'physicalBytesOut': 72273383,
'serviceExecutorTaskStats': {'executor': 'passthrough',
'threadsRunning': 65}},
'ok': 1.0,
'opLatencies': {'commands': {'latency': 21655879, 'ops': 68938},
'reads': {'latency': 259978, 'ops': 472},
'transactions': {'latency': 0, 'ops': 0},
'writes': {'latency': 102320255, 'ops': 8786}},
'opReadConcernCounters': {'available': 0,
'linearizable': 0,
'local': 0,
'majority': 0,
'none': 1376,
'snapshot': 0},
'opcounters': {'command': 71243,
'delete': 48,
'getmore': 16,
'insert': 7622740,
'query': 1376,
'update': 6245},
'opcountersRepl': {'command': 0,
'delete': 0,
'getmore': 0,
'insert': 0,
'query': 0,
'update': 0},
'pid': 13184,
'process': 'mongod',
'storageEngine': {'backupCursorOpen': False,
'dropPendingIdents': 0,
'name': 'wiredTiger',
'oldestRequiredTimestampForCrashRecovery': Timestamp(0, 0),
'persistent': True,
'readOnly': False,
'supportsCommittedReads': True,
'supportsPendingDrops': True,
'supportsSnapshotReadConcern': True},
'tcmalloc': {'generic': {'current_allocated_bytes': 664240336,
'heap_size': 910630912},
'tcmalloc': {'aggressive_memory_decommit': 0,
'central_cache_free_bytes': 67838536,
'current_total_thread_cache_bytes': 4527784,
'formattedString': '------------------------------------------------\n'
'MALLOC: 664240912 ( 633.5 '
'MiB) Bytes in use by '
'application\n'
'MALLOC: + 80539648 ( 76.8 '
'MiB) Bytes in page heap '
'freelist\n'
'MALLOC: + 67838536 ( 64.7 '
'MiB) Bytes in central cache '
'freelist\n'
'MALLOC: + 2958912 ( 2.8 '
'MiB) Bytes in transfer cache '
'freelist\n'
'MALLOC: + 4527208 ( 4.3 '
'MiB) Bytes in thread cache '
'freelists\n'
'MALLOC: + 6160384 ( 5.9 '
'MiB) Bytes in malloc metadata\n'
'MALLOC: ------------\n'
'MALLOC: = 826265600 ( 788.0 '
'MiB) Actual memory used '
'(physical + swap)\n'
'MALLOC: + 90525696 ( 86.3 '
'MiB) Bytes released to OS (aka '
'unmapped)\n'
'MALLOC: ------------\n'
'MALLOC: = 916791296 ( 874.3 '
'MiB) Virtual address space '
'used\n'
'MALLOC:\n'
'MALLOC: '
'49301 Spans in '
'use\n'
'MALLOC: '
'94 Thread heaps in '
'use\n'
'MALLOC: '
'4096 Tcmalloc page '
'size\n'
'------------------------------------------------\n'
'Call ReleaseFreeMemory() to '
'release freelist memory to the '
'OS (via madvise()).\n'
'Bytes released to the OS take '
'up virtual address space but no '
'physical memory.\n',
'max_total_thread_cache_bytes': 1073741824,
'pageheap_commit_count': 1634,
'pageheap_committed_bytes': 820105216,
'pageheap_decommit_count': 874,
'pageheap_free_bytes': 80539648,
'pageheap_reserve_count': 730,
'pageheap_scavenge_count': 874,
'pageheap_total_commit_bytes': 1179381760,
'pageheap_total_decommit_bytes': 359276544,
'pageheap_total_reserve_bytes': 910630912,
'pageheap_unmapped_bytes': 90525696,
'release_rate': 1.0,
'spinlock_total_delay_ns': 345112824,
'thread_cache_free_bytes': 4527784,
'total_free_bytes': 75325232,
'transfer_cache_free_bytes': 2958912}},
'trafficRecording': {'running': False},
'transactions': {'currentActive': 0,
'currentInactive': 0,
'currentOpen': 0,
'currentPrepared': 0,
'retriedCommandsCount': 0,
'retriedStatementsCount': 0,
'totalAborted': 0,
'totalCommitted': 0,
'totalPrepared': 0,
'totalPreparedThenAborted': 0,
'totalPreparedThenCommitted': 0,
'totalStarted': 0,
'transactionsCollectionWriteCount': 0},
'transportSecurity': {'1.0': 0, '1.1': 0, '1.2': 0, '1.3': 0, 'unknown': 0},
'twoPhaseCommitCoordinator': {'currentInSteps': {'deletingCoordinatorDoc': 0,
'waitingForDecisionAcks': 0,
'waitingForVotes': 0,
'writingDecision': 0,
'writingParticipantList': 0},
'totalAbortedTwoPhaseCommit': 0,
'totalCommittedTwoPhaseCommit': 0,
'totalCreated': 0,
'totalStartedTwoPhaseCommit': 0},
'uptime': 339945.0,
'uptimeEstimate': 339944,
'uptimeMillis': 339944885,
'version': '4.2.3',
'wiredTiger': {'async': {'current work queue length': 0,
'maximum work queue length': 0,
'number of allocation state races': 0,
'number of flush calls': 0,
'number of operation slots viewed for allocation': 0,
'number of times operation allocation failed': 0,
'number of times worker found no work': 0,
'total allocations': 0,
'total compact calls': 0,
'total insert calls': 0,
'total remove calls': 0,
'total search calls': 0,
'total update calls': 0},
'block-manager': {'blocks pre-loaded': 8,
'blocks read': 4146,
'blocks written': 28651,
'bytes read': 16994304,
'bytes written': 384598016,
'bytes written for checkpoint': 252583936,
'mapped blocks read': 0,
'mapped bytes read': 0},
'cache': {'application threads page read from disk to cache count': 7,
'application threads page read from disk to cache time (usecs)': 50,
'application threads page write from cache to disk count': 14370,
'application threads page write from cache to disk time (usecs)': 1204279,
'bytes belonging to page images in the cache': 319983254,
'bytes belonging to the cache overflow table in the cache': 182,
'bytes currently in the cache': 593831258,
'bytes dirty in the cache cumulative': 257186037,
'bytes not belonging to page images in the cache': 273848004,
'bytes read into cache': 22333,
'bytes written from cache': 643113573,
'cache overflow cursor application thread wait time (usecs)': 0,
'cache overflow cursor internal thread wait time (usecs)': 0,
'cache overflow score': 0,
'cache overflow table entries': 0,
'cache overflow table insert calls': 0,
'cache overflow table max on-disk size': 0,
'cache overflow table on-disk size': 0,
'cache overflow table remove calls': 0,
'checkpoint blocked page eviction': 0,
'eviction calls to get a page': 2576,
'eviction calls to get a page found queue empty': 2452,
'eviction calls to get a page found queue empty after locking': 3,
'eviction currently operating in aggressive mode': 0,
'eviction empty score': 0,
'eviction passes of a file': 44,
'eviction server candidate queue empty when topping up': 7,
'eviction server candidate queue not empty when topping up': 0,
'eviction server evicting pages': 0,
'eviction server slept, because we did not make progress with eviction': 3960,
'eviction server unable to reach eviction goal': 0,
'eviction server waiting for a leaf page': 8,
'eviction state': 128,
'eviction walk target pages histogram - 0-9': 26,
'eviction walk target pages histogram - 10-31': 16,
'eviction walk target pages histogram - 128 and higher': 0,
'eviction walk target pages histogram - 32-63': 2,
'eviction walk target pages histogram - 64-128': 0,
'eviction walk target strategy both clean and dirty pages': 0,
'eviction walk target strategy only clean pages': 0,
'eviction walk target strategy only dirty pages': 44,
'eviction walks abandoned': 0,
'eviction walks gave up because they restarted their walk twice': 43,
'eviction walks gave up because they saw too many pages and found no candidates': 1,
'eviction walks gave up because they saw too many pages and found too few candidates': 0,
'eviction walks reached end of tree': 87,
'eviction walks started from root of tree': 44,
'eviction walks started from saved location in tree': 0,
'eviction worker thread active': 4,
'eviction worker thread created': 0,
'eviction worker thread evicting pages': 105,
'eviction worker thread removed': 0,
'eviction worker thread stable number': 0,
'files with active eviction walks': 0,
'files with new eviction walks started': 44,
'force re-tuning of eviction workers once in a while': 0,
'forced eviction - pages evicted that were clean count': 0,
'forced eviction - pages evicted that were clean time (usecs)': 0,
'forced eviction - pages evicted that were dirty count': 10,
'forced eviction - pages evicted that were dirty time (usecs)': 15963,
'forced eviction - pages selected because of too many deleted items count': 17,
'forced eviction - pages selected count': 145,
'forced eviction - pages selected unable to be evicted count': 19,
'forced eviction - pages selected unable to be evicted time': 25,
'hazard pointer blocked page eviction': 19,
'hazard pointer check calls': 250,
'hazard pointer check entries walked': 105,
'hazard pointer maximum array length': 1,
'in-memory page passed criteria to be split': 289,
'in-memory page splits': 116,
'internal pages evicted': 0,
'internal pages queued for eviction': 0,
'internal pages seen by eviction walk': 0,
'internal pages seen by eviction walk that are already queued': 0,
'internal pages split during eviction': 0,
'leaf pages split during eviction': 95,
'maximum bytes configured': 7677673472.0,
'maximum page size at eviction': 0,
'modified pages evicted': 115,
'modified pages evicted by application threads': 0,
'operations timed out waiting for space in cache': 0,
'overflow pages read into cache': 0,
'page split during eviction deepened the tree': 0,
'page written requiring cache overflow records': 0,
'pages currently held in the cache': 5594,
'pages evicted by application threads': 0,
'pages queued for eviction': 44,
'pages queued for eviction post lru sorting': 27,
'pages queued for urgent eviction': 85,
'pages queued for urgent eviction during walk': 70,
'pages read into cache': 16,
'pages read into cache after truncate': 4385,
'pages read into cache after truncate in prepare state': 0,
'pages read into cache requiring cache overflow entries': 0,
'pages read into cache requiring cache overflow for checkpoint': 0,
'pages read into cache skipping older cache overflow entries': 0,
'pages read into cache with skipped cache overflow entries needed later': 0,
'pages read into cache with skipped cache overflow entries needed later by checkpoint': 0,
'pages requested from the cache': 15550116,
'pages seen by eviction walk': 2767,
'pages seen by eviction walk that are already queued': 370,
'pages selected for eviction unable to be evicted': 19,
'pages selected for eviction unable to be evicted as the parent page has overflow items': 0,
'pages selected for eviction unable to be evicted because of active children on an internal page': 0,
'pages selected for eviction unable to be evicted because of failure in reconciliation': 0,
'pages selected for eviction unable to be evicted due to newer modifications on a clean page': 0,
'pages walked for eviction': 2682,
'pages written from cache': 19865,
'pages written requiring in-memory restoration': 8,
'percentage overhead': 8,
'tracked bytes belonging to internal pages in the cache': 448033,
'tracked bytes belonging to leaf pages in the cache': 593383225,
'tracked dirty bytes in the cache': 1541721,
'tracked dirty pages in the cache': 1,
'unmodified pages evicted': 0},
'capacity': {'background fsync file handles considered': 0,
'background fsync file handles synced': 0,
'background fsync time (msecs)': 0,
'bytes read': 77824,
'bytes written for checkpoint': 180788092,
'bytes written for eviction': 123272406,
'bytes written for log': 2641383040.0,
'bytes written total': 2945443538.0,
'threshold to call fsync': 0,
'time waiting due to total capacity (usecs)': 0,
'time waiting during checkpoint (usecs)': 0,
'time waiting during eviction (usecs)': 0,
'time waiting during logging (usecs)': 0,
'time waiting during read (usecs)': 0},
'concurrentTransactions': {'read': {'available': 127,
'out': 1,
'totalTickets': 128},
'write': {'available': 128,
'out': 0,
'totalTickets': 128}},
'connection': {'auto adjusting condition resets': 16309,
'auto adjusting condition wait calls': 2072692,
'detected system time went backwards': 0,
'files currently open': 42,
'memory allocations': 55871960,
'memory frees': 54828025,
'memory re-allocations': 1369180,
'pthread mutex condition wait calls': 5645409,
'pthread mutex shared lock read-lock calls': 4311591,
'pthread mutex shared lock write-lock calls': 429348,
'total fsync I/Os': 26308,
'total read I/Os': 11591,
'total write I/Os': 58097},
'cursor': {'cached cursor count': 41,
'cursor bulk loaded cursor insert calls': 0,
'cursor close calls that result in cache': 41104,
'cursor create calls': 36921,
'cursor insert calls': 15203191,
'cursor insert key and value bytes': 3174103131.0,
'cursor modify calls': 0,
'cursor modify key and value bytes affected': 0,
'cursor modify value bytes modified': 0,
'cursor next calls': 614467,
'cursor operation restarted': 15004,
'cursor prev calls': 4105,
'cursor remove calls': 23365,
'cursor remove key bytes removed': 635382,
'cursor reserve calls': 0,
'cursor reset calls': 8131422,
'cursor search calls': 247909,
'cursor search near calls': 22024,
'cursor sweep buckets': 71112,
'cursor sweep cursors closed': 6043,
'cursor sweep cursors examined': 7274,
'cursor sweeps': 11177,
'cursor truncate calls': 0,
'cursor update calls': 0,
'cursor update key and value bytes': 0,
'cursor update value size change': 0,
'cursors reused from cache': 34098,
'open cursor count': 21},
'data-handle': {'connection data handle size': 432,
'connection data handles currently active': 76,
'connection sweep candidate became referenced': 0,
'connection sweep dhandles closed': 4347,
'connection sweep dhandles removed from hash list': 11044,
'connection sweep time-of-death sets': 29914,
'connection sweeps': 38275,
'session dhandles swept': 15697,
'session sweep attempts': 14692},
'lock': {'checkpoint lock acquisitions': 5666,
'checkpoint lock application thread wait time (usecs)': 73,
'checkpoint lock internal thread wait time (usecs)': 0,
'dhandle lock application thread time waiting (usecs)': 525,
'dhandle lock internal thread time waiting (usecs)': 583,
'dhandle read lock acquisitions': 1380249,
'dhandle write lock acquisitions': 26519,
'durable timestamp queue lock application thread time waiting (usecs)': 0,
'durable timestamp queue lock internal thread time waiting (usecs)': 0,
'durable timestamp queue read lock acquisitions': 0,
'durable timestamp queue write lock acquisitions': 0,
'metadata lock acquisitions': 1808,
'metadata lock application thread wait time (usecs)': 293,
'metadata lock internal thread wait time (usecs)': 0,
'read timestamp queue lock application thread time waiting (usecs)': 0,
'read timestamp queue lock internal thread time waiting (usecs)': 0,
'read timestamp queue read lock acquisitions': 0,
'read timestamp queue write lock acquisitions': 0,
'schema lock acquisitions': 10562,
'schema lock application thread wait time (usecs)': 83,
'schema lock internal thread wait time (usecs)': 0,
'table lock application thread time waiting for the table lock (usecs)': 2661,
'table lock internal thread time waiting for the table lock (usecs)': 592488,
'table read lock acquisitions': 0,
'table write lock acquisitions': 16912,
'txn global lock application thread time waiting (usecs)': 22,
'txn global lock internal thread time waiting (usecs)': 0,
'txn global read lock acquisitions': 13218,
'txn global write lock acquisitions': 10957},
'log': {'busy returns attempting to switch slots': 3,
'force archive time sleeping (usecs)': 0,
'log bytes of payload data': 1380610609.0,
'log bytes written': 1392810624.0,
'log files manually zero-filled': 0,
'log flush operations': 3392456,
'log force write operations': 3743061,
'log force write operations skipped': 3739067,
'log records compressed': 130131,
'log records not compressed': 16731,
'log records too small to compress': 27729,
'log release advances write LSN': 10530,
'log scan operations': 6,
'log scan records requiring two reads': 0,
'log server thread advances write LSN': 12705,
'log server thread write LSN walk skipped': 1760948,
'log sync operations': 13850,
'log sync time duration (usecs)': 63575290,
'log sync_dir operations': 14,
'log sync_dir time duration (usecs)': 24180,
'log write operations': 174589,
'logging bytes consolidated': 1392897152.0,
'maximum log file size': 104857600,
'number of pre-allocated log files to create': 2,
'pre-allocated log files not ready and missed': 1,
'pre-allocated log files prepared': 15,
'pre-allocated log files used': 13,
'records processed by log scan': 13,
'slot close lost race': 0,
'slot close unbuffered waits': 0,
'slot closures': 23235,
'slot join atomic update races': 11,
'slot join calls atomic updates raced': 11,
'slot join calls did not yield': 174581,
'slot join calls found active slot closed': 4,
'slot join calls slept': 0,
'slot join calls yielded': 15,
'slot join found active slot closed': 4,
'slot joins yield time (usecs)': 13115,
'slot transitions unable to find free slot': 0,
'slot unbuffered writes': 0,
'total in-memory size of compressed records': 3262740783.0,
'total log buffer size': 33554432,
'total size of compressed records': 1376479556.0,
'written slots coalesced': 0,
'yields waiting for previous log file close': 0},
'perf': {'file system read latency histogram (bucket 1) - 10-49ms': 0,
'file system read latency histogram (bucket 2) - 50-99ms': 0,
'file system read latency histogram (bucket 3) - 100-249ms': 0,
'file system read latency histogram (bucket 4) - 250-499ms': 0,
'file system read latency histogram (bucket 5) - 500-999ms': 0,
'file system read latency histogram (bucket 6) - 1000ms+': 0,
'file system write latency histogram (bucket 1) - 10-49ms': 6,
'file system write latency histogram (bucket 2) - 50-99ms': 0,
'file system write latency histogram (bucket 3) - 100-249ms': 0,
'file system write latency histogram (bucket 4) - 250-499ms': 0,
'file system write latency histogram (bucket 5) - 500-999ms': 0,
'file system write latency histogram (bucket 6) - 1000ms+': 0,
'operation read latency histogram (bucket 1) - 100-249us': 1827,
'operation read latency histogram (bucket 2) - 250-499us': 670,
'operation read latency histogram (bucket 3) - 500-999us': 43,
'operation read latency histogram (bucket 4) - 1000-9999us': 5,
'operation read latency histogram (bucket 5) - 10000us+': 1,
'operation write latency histogram (bucket 1) - 100-249us': 537,
'operation write latency histogram (bucket 2) - 250-499us': 52,
'operation write latency histogram (bucket 3) - 500-999us': 57,
'operation write latency histogram (bucket 4) - 1000-9999us': 158,
'operation write latency histogram (bucket 5) - 10000us+': 12},
'reconciliation': {'fast-path pages deleted': 0,
'page reconciliation calls': 8946,
'page reconciliation calls for eviction': 115,
'pages deleted': 61,
'split bytes currently awaiting free': 38884,
'split objects currently awaiting free': 9},
'session': {'open session count': 18,
'session query timestamp calls': 0,
'table alter failed calls': 0,
'table alter successful calls': 0,
'table alter unchanged and skipped': 0,
'table compact failed calls': 0,
'table compact successful calls': 0,
'table create failed calls': 0,
'table create successful calls': 4375,
'table drop failed calls': 8,
'table drop successful calls': 4348,
'table import failed calls': 0,
'table import successful calls': 0,
'table rebalance failed calls': 0,
'table rebalance successful calls': 0,
'table rename failed calls': 0,
'table rename successful calls': 0,
'table salvage failed calls': 0,
'table salvage successful calls': 0,
'table truncate failed calls': 0,
'table truncate successful calls': 0,
'table verify failed calls': 0,
'table verify successful calls': 0},
'snapshot-window-settings': {'cache pressure percentage threshold': 95,
'current available snapshots window size in seconds': 0,
'current cache pressure percentage': 0,
'latest majority snapshot timestamp available': 'Jan '
'1 '
'01:00:00:0',
'max target available snapshots window size in seconds': 5,
'oldest majority snapshot timestamp available': 'Jan '
'1 '
'01:00:00:0',
'target available snapshots window size in seconds': 5,
'total number of SnapshotTooOld errors': 0},
'thread-state': {'active filesystem fsync calls': 0,
'active filesystem read calls': 0,
'active filesystem write calls': 0},
'thread-yield': {'application thread time evicting (usecs)': 0,
'application thread time waiting for cache (usecs)': 0,
'connection close blocked waiting for transaction state stabilization': 0,
'connection close yielded for lsm manager shutdown': 0,
'data handle lock yielded': 0,
'get reference for page index and slot time sleeping (usecs)': 0,
'log server sync yielded for log write': 0,
'page access yielded due to prepare state change': 0,
'page acquire busy blocked': 0,
'page acquire eviction blocked': 59,
'page acquire locked blocked': 31,
'page acquire read blocked': 0,
'page acquire time sleeping (usecs)': 11300,
'page delete rollback time sleeping for state change (usecs)': 0,
'page reconciliation yielded due to child modification': 0},
'transaction': {'Number of prepared updates': 0,
'Number of prepared updates added to cache overflow': 0,
'durable timestamp queue entries walked': 0,
'durable timestamp queue insert to empty': 0,
'durable timestamp queue inserts to head': 0,
'durable timestamp queue inserts total': 0,
'durable timestamp queue length': 0,
'number of named snapshots created': 0,
'number of named snapshots dropped': 0,
'prepared transactions': 0,
'prepared transactions committed': 0,
'prepared transactions currently active': 0,
'prepared transactions rolled back': 0,
'query timestamp calls': 339934,
'read timestamp queue entries walked': 0,
'read timestamp queue insert to empty': 0,
'read timestamp queue inserts to head': 0,
'read timestamp queue inserts total': 0,
'read timestamp queue length': 0,
'rollback to stable calls': 0,
'rollback to stable updates aborted': 0,
'rollback to stable updates removed from cache overflow': 0,
'set timestamp calls': 0,
'set timestamp durable calls': 0,
'set timestamp durable updates': 0,
'set timestamp oldest calls': 0,
'set timestamp oldest updates': 0,
'set timestamp stable calls': 0,
'set timestamp stable updates': 0,
'transaction begins': 162055,
'transaction checkpoint currently running': 0,
'transaction checkpoint generation': 1809,
'transaction checkpoint max time (msecs)': 2410,
'transaction checkpoint min time (msecs)': 2,
'transaction checkpoint most recent time (msecs)': 17,
'transaction checkpoint scrub dirty target': 0,
'transaction checkpoint scrub time (msecs)': 0,
'transaction checkpoint total time (msecs)': 34394,
'transaction checkpoints': 5666,
'transaction checkpoints skipped because database was clean': 3858,
'transaction failures due to cache overflow': 0,
'transaction fsync calls for checkpoint after allocating the transaction ID': 1808,
'transaction fsync duration for checkpoint after allocating the transaction ID (usecs)': 2854,
'transaction range of IDs currently pinned': 0,
'transaction range of IDs currently pinned by a checkpoint': 0,
'transaction range of IDs currently pinned by named snapshots': 0,
'transaction range of timestamps currently pinned': 0,
'transaction range of timestamps pinned by a checkpoint': 0,
'transaction range of timestamps pinned by the oldest active read timestamp': 0,
'transaction range of timestamps pinned by the oldest timestamp': 0,
'transaction read timestamp of the oldest active reader': 0,
'transaction sync calls': 0,
'transactions committed': 135002,
'transactions rolled back': 27056,
'update conflicts': 0},
'uri': 'statistics:'}}
job_db=client.eande
print(job_db)
Database(MongoClient(host=['78.47.77.101:27017'], document_class=dict, tz_aware=False, connect=True), 'eande')
myCursor = job_db.skills.find( {} )
print(myCursor)
<pymongo.cursor.Cursor object at 0x00000291CA1CC3C8>
job_db.skills.count_documents({})
100
for document in myCursor:
print(document)
print(type(document))
{'_id': '9105b57b-443d-4e2e-a035-a5004cb59b78', 'updated_at': datetime.datetime(2019, 4, 11, 11, 15, 50), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Compatible needs-based task-force', 'description': 'Reactive empowering synergy', 'created_at': datetime.datetime(2018, 6, 27, 14, 47, 58)}
<class 'dict'>
{'_id': '8fd9fd5e-945b-4879-8657-c951293d1d8b', 'updated_at': datetime.datetime(2012, 8, 26, 16, 39, 30), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Versatile hybrid Graphical User Interface', 'description': 'Centralized encompassing algorithm', 'created_at': datetime.datetime(2018, 7, 14, 3, 50, 29)}
<class 'dict'>
{'_id': '6e01f13f-7880-4b61-8cd9-4fd7c76ca06a', 'updated_at': datetime.datetime(2012, 2, 25, 23, 46, 4), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Multi-layered secondary system engine', 'description': 'De-engineered radical matrices', 'created_at': datetime.datetime(2011, 9, 30, 12, 25, 53)}
<class 'dict'>
{'_id': 'd2c053c2-b29e-4145-bdeb-7f2530da33c4', 'updated_at': datetime.datetime(2018, 4, 27, 23, 49, 42), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Business-focused content-based productivity', 'description': 'Seamless full-range flexibility', 'created_at': datetime.datetime(2019, 5, 15, 11, 41, 30)}
<class 'dict'>
{'_id': '2203fb5a-b8d2-4efc-855e-ddde0a699da6', 'updated_at': datetime.datetime(2019, 11, 2, 19, 52, 36), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Reverse-engineered explicit migration', 'description': 'Implemented multi-tasking alliance', 'created_at': datetime.datetime(2012, 4, 30, 22, 22, 7)}
<class 'dict'>
{'_id': '8962c71c-ad15-400e-b219-e9b8c9d13388', 'updated_at': datetime.datetime(2011, 5, 2, 11, 45, 7), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Adaptive optimizing emulation', 'description': 'Face to face methodical moderator', 'created_at': datetime.datetime(2010, 6, 2, 1, 22, 21)}
<class 'dict'>
{'_id': 'b5b0c14d-31a2-4aca-b2aa-8c0d2003f009', 'updated_at': datetime.datetime(2018, 12, 6, 4, 30, 41), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Organized local contingency', 'description': 'Business-focused even-keeled array', 'created_at': datetime.datetime(2011, 10, 25, 11, 26, 14)}
<class 'dict'>
{'_id': '816aa01b-c80d-4112-8ebd-041d0c81cbb6', 'updated_at': datetime.datetime(2014, 2, 23, 5, 28, 5), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Customer-focused bandwidth-monitored matrices', 'description': 'Robust fresh-thinking forecast', 'created_at': datetime.datetime(2013, 8, 1, 20, 43, 45)}
<class 'dict'>
{'_id': 'aa525a89-8c0b-4330-af16-a3958fe7475f', 'updated_at': datetime.datetime(2015, 9, 11, 0, 44, 35), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Stand-alone disintermediate definition', 'description': 'Optional composite intranet', 'created_at': datetime.datetime(2012, 1, 7, 5, 21, 29)}
<class 'dict'>
{'_id': 'da57f6ec-4f6a-4662-80b7-a18beebafe13', 'updated_at': datetime.datetime(2013, 7, 9, 6, 17, 53), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Streamlined composite structure', 'description': 'Digitized actuating benchmark', 'created_at': datetime.datetime(2016, 4, 27, 21, 43, 33)}
<class 'dict'>
{'_id': '9d3b8694-801c-46f6-9fbb-16eb0f3af370', 'updated_at': datetime.datetime(2015, 10, 4, 0, 54, 36), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Ameliorated bi-directional knowledge user', 'description': 'Cross-group hybrid Graphical User Interface', 'created_at': datetime.datetime(2015, 12, 10, 16, 39, 50)}
<class 'dict'>
{'_id': '3e0d68d2-f544-496c-811d-698cf6d1fa3a', 'updated_at': datetime.datetime(2016, 12, 15, 22, 11, 9), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Object-based stable budgetary management', 'description': 'Versatile transitional contingency', 'created_at': datetime.datetime(2013, 12, 1, 12, 1, 28)}
<class 'dict'>
{'_id': '85a7b0dc-afbb-4ded-a6f4-76cbae32a679', 'updated_at': datetime.datetime(2016, 6, 17, 5, 41), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Polarised 3rd generation artificial intelligence', 'description': 'Triple-buffered bifurcated internet solution', 'created_at': datetime.datetime(2014, 2, 22, 16, 21, 53)}
<class 'dict'>
{'_id': 'abd94b87-17d6-475e-a4ac-c72470e8610c', 'updated_at': datetime.datetime(2015, 1, 31, 14, 51, 26), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Distributed clear-thinking adapter', 'description': 'Optimized fresh-thinking matrices', 'created_at': datetime.datetime(2014, 8, 21, 4, 14, 43)}
<class 'dict'>
{'_id': 'b0379bb0-d71f-470f-842a-cca9ade3c082', 'updated_at': datetime.datetime(2011, 4, 3, 22, 54, 57), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Mandatory optimal matrices', 'description': 'Customizable empowering Graphic Interface', 'created_at': datetime.datetime(2014, 2, 5, 17, 59, 18)}
<class 'dict'>
{'_id': 'a7dc08ea-d7fb-4925-ab1d-e8e9c464b6bb', 'updated_at': datetime.datetime(2010, 7, 27, 20, 22, 2), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Proactive bottom-line solution', 'description': 'Fundamental attitude-oriented parallelism', 'created_at': datetime.datetime(2012, 7, 27, 20, 53, 6)}
<class 'dict'>
{'_id': '5a8ee43f-21c9-4ffe-9625-b5d2c991ea7f', 'updated_at': datetime.datetime(2019, 9, 14, 11, 21, 34), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Implemented bottom-line budgetary management', 'description': 'Streamlined neutral project', 'created_at': datetime.datetime(2017, 7, 26, 13, 56, 22)}
<class 'dict'>
{'_id': 'f69720de-0044-4011-9c3c-dbcb2d37170f', 'updated_at': datetime.datetime(2018, 11, 3, 2, 7, 12), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Sharable local projection', 'description': 'Reactive needs-based data-warehouse', 'created_at': datetime.datetime(2011, 5, 24, 2, 34, 31)}
<class 'dict'>
{'_id': '05d424b9-5396-4915-a25b-da0fee9eda34', 'updated_at': datetime.datetime(2010, 9, 11, 0, 56, 50), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Multi-channelled secondary leverage', 'description': 'User-friendly actuating framework', 'created_at': datetime.datetime(2013, 11, 27, 15, 46, 18)}
<class 'dict'>
{'_id': '850a59a6-86d9-4d92-a6b9-b7444b81c196', 'updated_at': datetime.datetime(2011, 4, 19, 18, 16, 28), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Pre-emptive leading edge pricing structure', 'description': 'Open-source mobile hardware', 'created_at': datetime.datetime(2016, 11, 1, 0, 0, 16)}
<class 'dict'>
{'_id': '660d4d81-1204-4664-8f39-9a032863cfdb', 'updated_at': datetime.datetime(2012, 1, 26, 7, 35, 31), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Monitored coherent function', 'description': 'Universal 4th generation software', 'created_at': datetime.datetime(2013, 11, 18, 14, 15, 29)}
<class 'dict'>
{'_id': '4e15c9b8-5aec-4bb5-b453-8bdabbf54691', 'updated_at': datetime.datetime(2013, 5, 15, 16, 36, 57), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Progressive real-time process improvement', 'description': 'Persevering impactful neural-net', 'created_at': datetime.datetime(2012, 8, 18, 2, 51, 57)}
<class 'dict'>
{'_id': 'd5c99096-ea37-4a39-8c8d-1f231cab2a59', 'updated_at': datetime.datetime(2019, 10, 31, 15, 25, 1), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Networked grid-enabled Graphical User Interface', 'description': 'Expanded real-time support', 'created_at': datetime.datetime(2012, 12, 29, 11, 48, 17)}
<class 'dict'>
{'_id': 'd75f06aa-68ac-4548-82ce-4f1e82f96b8d', 'updated_at': datetime.datetime(2016, 5, 19, 8, 26, 44), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Profound fresh-thinking monitoring', 'description': 'Focused directional framework', 'created_at': datetime.datetime(2017, 4, 3, 6, 24, 8)}
<class 'dict'>
{'_id': '8ac8040d-161d-46fc-8694-b1d822efdbab', 'updated_at': datetime.datetime(2011, 3, 28, 11, 1, 25), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Expanded cohesive projection', 'description': 'Cross-group tertiary circuit', 'created_at': datetime.datetime(2015, 10, 10, 23, 19, 37)}
<class 'dict'>
{'_id': 'a82fa206-c113-42de-bddd-e5acd11a000c', 'updated_at': datetime.datetime(2015, 9, 2, 17, 43, 57), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Mandatory directional open system', 'description': 'Compatible composite function', 'created_at': datetime.datetime(2010, 2, 21, 20, 2, 41)}
<class 'dict'>
{'_id': '3239b7de-5877-4ef3-908a-04501a56e960', 'updated_at': datetime.datetime(2010, 5, 28, 22, 27, 33), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Centralized coherent analyzer', 'description': 'User-friendly global knowledge user', 'created_at': datetime.datetime(2011, 3, 31, 23, 12, 20)}
<class 'dict'>
{'_id': '360b8daa-2cc6-434c-8238-e0da1f490143', 'updated_at': datetime.datetime(2018, 4, 26, 2, 30, 19), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Synchronised encompassing secured line', 'description': 'Up-sized mobile success', 'created_at': datetime.datetime(2018, 11, 25, 12, 18, 43)}
<class 'dict'>
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{'_id': '2dee3366-6d80-4dcd-ac0e-928adeac30b0', 'updated_at': datetime.datetime(2019, 2, 14, 15, 39, 51), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Organic full-range challenge', 'description': 'Re-contextualized transitional productivity', 'created_at': datetime.datetime(2013, 7, 1, 1, 50, 51)}
<class 'dict'>
{'_id': '955a698a-3a8c-46a4-9843-d5679697fbf7', 'updated_at': datetime.datetime(2016, 6, 3, 5, 5, 50), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Pre-emptive responsive artificial intelligence', 'description': 'Right-sized high-level emulation', 'created_at': datetime.datetime(2010, 9, 18, 17, 5, 27)}
<class 'dict'>
{'_id': '31f272b4-7762-403b-8393-20cc7f9d1c78', 'updated_at': datetime.datetime(2019, 9, 27, 22, 41, 47), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Adaptive attitude-oriented customer loyalty', 'description': 'Stand-alone cohesive software', 'created_at': datetime.datetime(2014, 10, 13, 0, 45, 5)}
<class 'dict'>
{'_id': '720a7eb7-93d2-4bf8-bd25-9f645d74522c', 'updated_at': datetime.datetime(2015, 8, 5, 8, 32, 33), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Networked 24 hour workforce', 'description': 'Robust multi-tasking orchestration', 'created_at': datetime.datetime(2013, 10, 29, 14, 0, 5)}
<class 'dict'>
{'_id': '7bb97c01-39de-4feb-8c27-63e2d19e56e0', 'updated_at': datetime.datetime(2019, 11, 27, 14, 15, 57), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Open-source assymetric conglomeration', 'description': 'Compatible mobile workforce', 'created_at': datetime.datetime(2013, 5, 8, 8, 50, 35)}
<class 'dict'>
{'_id': 'f7e47ad5-12d0-44a2-aeb2-c1fbd6115147', 'updated_at': datetime.datetime(2019, 7, 6, 21, 32, 25), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Ameliorated client-driven internet solution', 'description': 'Multi-tiered non-volatile budgetary management', 'created_at': datetime.datetime(2013, 8, 27, 11, 42, 43)}
<class 'dict'>
{'_id': '2108310e-e76f-4c58-b15f-220f77eb63bb', 'updated_at': datetime.datetime(2010, 2, 13, 8, 12, 15), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Reverse-engineered attitude-oriented alliance', 'description': 'Secured responsive collaboration', 'created_at': datetime.datetime(2017, 5, 8, 8, 41, 28)}
<class 'dict'>
{'_id': 'abbeb8a4-bca9-4ca4-9a89-07afcacda953', 'updated_at': datetime.datetime(2011, 6, 20, 0, 21, 16), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Future-proofed contextually-based methodology', 'description': 'Multi-layered next generation leverage', 'created_at': datetime.datetime(2016, 11, 16, 15, 53, 47)}
<class 'dict'>
{'_id': 'ee11ba73-d4bc-4626-95de-bc28c53cdfe3', 'updated_at': datetime.datetime(2014, 11, 26, 22, 41, 41), '__v': 0.0, 'status': 0.0, 'verified': 0.0, 'title': 'Virtual national circuit', 'description': 'Multi-lateral bandwidth-monitored extranet', 'created_at': datetime.datetime(2014, 5, 23, 0, 58, 2)}
<class 'dict'>
df = DataFrame(list(job_db.skills.find( {} )))
print(df)
_id updated_at __v status \
0 9105b57b-443d-4e2e-a035-a5004cb59b78 2019-04-11 11:15:50 0.0 0.0
1 8fd9fd5e-945b-4879-8657-c951293d1d8b 2012-08-26 16:39:30 0.0 0.0
2 6e01f13f-7880-4b61-8cd9-4fd7c76ca06a 2012-02-25 23:46:04 0.0 0.0
3 d2c053c2-b29e-4145-bdeb-7f2530da33c4 2018-04-27 23:49:42 0.0 0.0
4 2203fb5a-b8d2-4efc-855e-ddde0a699da6 2019-11-02 19:52:36 0.0 0.0
.. ... ... ... ...
95 7bb97c01-39de-4feb-8c27-63e2d19e56e0 2019-11-27 14:15:57 0.0 0.0
96 f7e47ad5-12d0-44a2-aeb2-c1fbd6115147 2019-07-06 21:32:25 0.0 0.0
97 2108310e-e76f-4c58-b15f-220f77eb63bb 2010-02-13 08:12:15 0.0 0.0
98 abbeb8a4-bca9-4ca4-9a89-07afcacda953 2011-06-20 00:21:16 0.0 0.0
99 ee11ba73-d4bc-4626-95de-bc28c53cdfe3 2014-11-26 22:41:41 0.0 0.0
verified title \
0 0.0 Compatible needs-based task-force
1 0.0 Versatile hybrid Graphical User Interface
2 0.0 Multi-layered secondary system engine
3 0.0 Business-focused content-based productivity
4 0.0 Reverse-engineered explicit migration
.. ... ...
95 0.0 Open-source assymetric conglomeration
96 0.0 Ameliorated client-driven internet solution
97 0.0 Reverse-engineered attitude-oriented alliance
98 0.0 Future-proofed contextually-based methodology
99 0.0 Virtual national circuit
description created_at
0 Reactive empowering synergy 2018-06-27 14:47:58
1 Centralized encompassing algorithm 2018-07-14 03:50:29
2 De-engineered radical matrices 2011-09-30 12:25:53
3 Seamless full-range flexibility 2019-05-15 11:41:30
4 Implemented multi-tasking alliance 2012-04-30 22:22:07
.. ... ...
95 Compatible mobile workforce 2013-05-08 08:50:35
96 Multi-tiered non-volatile budgetary management 2013-08-27 11:42:43
97 Secured responsive collaboration 2017-05-08 08:41:28
98 Multi-layered next generation leverage 2016-11-16 15:53:47
99 Multi-lateral bandwidth-monitored extranet 2014-05-23 00:58:02
[100 rows x 8 columns]
print(df.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 100 entries, 0 to 99 Data columns (total 8 columns): _id 100 non-null object updated_at 100 non-null datetime64[ns] __v 100 non-null float64 status 100 non-null float64 verified 100 non-null float64 title 100 non-null object description 100 non-null object created_at 100 non-null datetime64[ns] dtypes: datetime64[ns](2), float64(3), object(3) memory usage: 6.4+ KB None
myCursor2 = job_db.JobProposal.find( {} )
print(myCursor2)
<pymongo.cursor.Cursor object at 0x00000291C9FA33C8>
job_db.JobProposal.count_documents({})
1000
for document in myCursor2:
print(document)
print(type(document))
{'_id': ObjectId('5e54146d9da33c5135b3d4b9'), 'propoal_description': 'Regional Operations Assistant', 'status': '1', 'created_at': datetime.datetime(2011, 10, 18, 5, 42, 55), 'updated_at': datetime.datetime(2011, 2, 25, 18, 54, 47), '__v': 0.0, 'job_id': 'a847af9c-2cda-417e-b209-d465d1d78105', 'user_id': 'e500b2b6-c427-471e-bba1-de07b931b28d'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4ba'), 'propoal_description': 'Regional Creative Manager', 'status': '1', 'created_at': datetime.datetime(2011, 6, 20, 12, 43, 14), 'updated_at': datetime.datetime(2017, 5, 11, 16, 6, 17), '__v': 0.0, 'job_id': '35508680-517b-4d04-a1fd-b71c96930b7f', 'user_id': '0aac1730-8e6f-460b-8cff-c5a231b37820'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4bb'), 'propoal_description': 'Human Brand Technician', 'status': '1', 'created_at': datetime.datetime(2016, 2, 21, 6, 33, 14), 'updated_at': datetime.datetime(2017, 6, 8, 0, 43, 12), '__v': 0.0, 'job_id': '0c80f08e-d658-426b-a12b-97cfd24fab06', 'user_id': '16e24997-06ec-4f54-9294-70a03a7cde73'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4bc'), 'propoal_description': 'Internal Program Executive', 'status': '1', 'created_at': datetime.datetime(2018, 1, 10, 18, 40, 44), 'updated_at': datetime.datetime(2012, 3, 16, 13, 8, 2), '__v': 0.0, 'job_id': 'd2201dc2-cafb-46ba-972a-f3f3860e7a56', 'user_id': '6f2c78a8-f47d-41a1-aa6d-44d0e3be357c'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4bd'), 'propoal_description': 'Global Response Associate', 'status': '1', 'created_at': datetime.datetime(2010, 11, 28, 13, 21, 59), 'updated_at': datetime.datetime(2019, 5, 11, 5, 5, 19), '__v': 0.0, 'job_id': '8490fe5a-1096-421d-8fe2-0c054163a1e8', 'user_id': 'b9e0d290-ed42-415e-80bc-e51c0a68e8e2'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4be'), 'propoal_description': 'Regional Division Officer', 'status': '1', 'created_at': datetime.datetime(2013, 5, 15, 9, 50, 27), 'updated_at': datetime.datetime(2018, 1, 4, 4, 13, 50), '__v': 0.0, 'job_id': 'a776d94c-e4f0-4048-b7ea-304d0a13013e', 'user_id': 'be9e1891-bfd5-439b-a75d-086075221ae7'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4bf'), 'propoal_description': 'Forward Configuration Facilitator', 'status': '1', 'created_at': datetime.datetime(2019, 1, 1, 15, 2, 1), 'updated_at': datetime.datetime(2018, 3, 15, 3, 24, 8), '__v': 0.0, 'job_id': '6e55aedb-45ef-4886-a9f0-e81510698429', 'user_id': 'b058db25-0425-4e7d-ab19-c7069a162996'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4c0'), 'propoal_description': 'Internal Integration Orchestrator', 'status': '1', 'created_at': datetime.datetime(2016, 10, 7, 14, 49, 44), 'updated_at': datetime.datetime(2018, 2, 15, 20, 48, 19), '__v': 0.0, 'job_id': '3747cc8b-1b6c-460b-a323-322db30fb21a', 'user_id': 'a2cdd311-0534-4202-a45b-645766d48d14'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4c1'), 'propoal_description': 'Internal Interactions Developer', 'status': '1', 'created_at': datetime.datetime(2018, 2, 15, 17, 34, 29), 'updated_at': datetime.datetime(2014, 9, 6, 23, 44, 16), '__v': 0.0, 'job_id': 'd04c35f7-bd51-4eea-9544-fe0a2c3e52fd', 'user_id': '2f2bc3db-7708-4fd9-8c3b-5cf09a20be98'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4c2'), 'propoal_description': 'Customer Response Director', 'status': '1', 'created_at': datetime.datetime(2016, 4, 27, 19, 46, 25), 'updated_at': datetime.datetime(2018, 5, 24, 19, 20, 22), '__v': 0.0, 'job_id': '0dec7861-bc49-4186-b508-2722eef19b78', 'user_id': '4d652de3-1519-44ef-a80c-4837af138b95'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4c3'), 'propoal_description': 'Principal Factors Specialist', 'status': '1', 'created_at': datetime.datetime(2013, 5, 2, 15, 0, 6), 'updated_at': datetime.datetime(2012, 9, 23, 17, 12, 54), '__v': 0.0, 'job_id': 'e086b7f1-a321-4816-a105-909dab860b07', 'user_id': 'd452f1fd-f00b-4e2c-8166-4fb5d9d7090c'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4c4'), 'propoal_description': 'District Security Designer', 'status': '1', 'created_at': datetime.datetime(2011, 8, 14, 20, 37, 57), 'updated_at': datetime.datetime(2018, 4, 9, 1, 33, 20), '__v': 0.0, 'job_id': 'fdb98628-322c-48aa-9a2c-e85f71eb9cab', 'user_id': 'da5791fc-dd19-47bf-a7ee-e1f61a7a0c57'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4c5'), 'propoal_description': 'National Mobility Officer', 'status': '1', 'created_at': datetime.datetime(2018, 7, 5, 2, 39, 55), 'updated_at': datetime.datetime(2011, 1, 19, 23, 32, 2), '__v': 0.0, 'job_id': '61268b85-6d96-4f38-a33d-fd43bc596be6', 'user_id': '61a45bb9-b29d-402f-81de-47be32b52b53'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4c6'), 'propoal_description': 'Chief Applications Analyst', 'status': '1', 'created_at': datetime.datetime(2019, 6, 13, 18, 35, 48), 'updated_at': datetime.datetime(2018, 3, 7, 1, 53, 16), '__v': 0.0, 'job_id': '9da00376-a41a-4209-b5d3-5844ae931783', 'user_id': 'dca68658-e8b5-4bcd-9f33-abb504e3423b'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4c7'), 'propoal_description': 'Forward Interactions Coordinator', 'status': '1', 'created_at': datetime.datetime(2018, 3, 24, 10, 26, 31), 'updated_at': datetime.datetime(2014, 11, 14, 3, 42, 46), '__v': 0.0, 'job_id': 'b239dcd1-1fb9-44c6-ab0c-799c200cceb2', 'user_id': '530de06c-451b-407b-a778-bee2e36d98df'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4c8'), 'propoal_description': 'District Intranet Technician', 'status': '1', 'created_at': datetime.datetime(2018, 1, 19, 10, 58, 41), 'updated_at': datetime.datetime(2015, 8, 19, 23, 30, 30), '__v': 0.0, 'job_id': '618838e8-290a-4499-bb75-0b407ddad714', 'user_id': '0402494a-d7f8-4153-a27b-ae81a9d2ab26'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4c9'), 'propoal_description': 'Forward Identity Facilitator', 'status': '1', 'created_at': datetime.datetime(2013, 9, 10, 15, 25, 32), 'updated_at': datetime.datetime(2017, 8, 8, 10, 30, 28), '__v': 0.0, 'job_id': 'c9d13140-9440-47c8-b69f-b246854a2160', 'user_id': '63e845f4-e72e-43c2-920a-c66c0b2d50cd'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4ca'), 'propoal_description': 'Regional Markets Representative', 'status': '1', 'created_at': datetime.datetime(2013, 5, 7, 22, 15, 52), 'updated_at': datetime.datetime(2013, 10, 1, 21, 19, 25), '__v': 0.0, 'job_id': '3d77cf90-554a-445a-94a3-387178e651f1', 'user_id': 'f11818fa-9565-4d9a-8496-558aa74ce9b1'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4cb'), 'propoal_description': 'Legacy Program Facilitator', 'status': '1', 'created_at': datetime.datetime(2017, 12, 4, 3, 33, 51), 'updated_at': datetime.datetime(2010, 7, 4, 18, 28, 27), '__v': 0.0, 'job_id': '2c979d89-50d3-4d53-9307-6c82d3dd870e', 'user_id': '7df9a9c6-5792-47ea-b55c-7c112dd55fd5'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4cc'), 'propoal_description': 'District Quality Strategist', 'status': '1', 'created_at': datetime.datetime(2018, 4, 14, 15, 22, 34), 'updated_at': datetime.datetime(2019, 1, 26, 12, 17, 14), '__v': 0.0, 'job_id': '229d8d9a-e956-42e0-ae0e-69a8f75d9d6d', 'user_id': '708628f9-f183-4efe-87f1-731e0653ebde'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4cd'), 'propoal_description': 'National Accounts Officer', 'status': '1', 'created_at': datetime.datetime(2013, 6, 14, 23, 8, 18), 'updated_at': datetime.datetime(2010, 12, 16, 21, 51, 40), '__v': 0.0, 'job_id': '3a2c48ef-cc87-4fe9-8110-b187884e1b7c', 'user_id': '91efece7-6fa3-4fd0-b4b8-8972919a0295'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4ce'), 'propoal_description': 'Chief Data Director', 'status': '1', 'created_at': datetime.datetime(2010, 11, 13, 9, 52, 31), 'updated_at': datetime.datetime(2010, 6, 17, 12, 20, 5), '__v': 0.0, 'job_id': '73ee35ec-4747-4086-a52d-72ffab069cd6', 'user_id': '06ff4f50-9faa-4b7f-98cc-ff0d60f25f49'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4cf'), 'propoal_description': 'Principal Quality Executive', 'status': '1', 'created_at': datetime.datetime(2014, 8, 14, 12, 13, 47), 'updated_at': datetime.datetime(2016, 8, 10, 21, 17, 54), '__v': 0.0, 'job_id': 'f09bdd20-cdf1-438c-9c67-81cf9f0adfb6', 'user_id': '42ecf636-5e87-4621-bb6c-f034cf2c2ee1'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4d0'), 'propoal_description': 'Investor Program Liason', 'status': '1', 'created_at': datetime.datetime(2018, 5, 8, 16, 28, 39), 'updated_at': datetime.datetime(2011, 12, 22, 15, 43, 30), '__v': 0.0, 'job_id': '9599e567-691f-42f7-80f0-8ba6cb7b58e0', 'user_id': '8e6ca72a-eade-453c-b367-b5ad95280e35'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4d1'), 'propoal_description': 'Investor Quality Strategist', 'status': '1', 'created_at': datetime.datetime(2016, 10, 18, 22, 50, 4), 'updated_at': datetime.datetime(2015, 4, 5, 13, 30, 47), '__v': 0.0, 'job_id': 'c968e50e-c7fd-4865-a510-9ae94dc596ea', 'user_id': 'e2137944-bc49-4869-919c-07b677b95f3f'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4d2'), 'propoal_description': 'National Quality Manager', 'status': '1', 'created_at': datetime.datetime(2016, 10, 12, 20, 41, 30), 'updated_at': datetime.datetime(2012, 7, 21, 4, 35, 27), '__v': 0.0, 'job_id': 'de948618-7e1e-4bd9-acaf-4214e6f5897d', 'user_id': '075eed2a-e4cb-4fd1-abab-ab3d2a590862'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4d3'), 'propoal_description': 'National Directives Representative', 'status': '1', 'created_at': datetime.datetime(2015, 1, 28, 23, 25, 52), 'updated_at': datetime.datetime(2010, 6, 28, 1, 55, 15), '__v': 0.0, 'job_id': '6c7d9a77-bbaa-4dac-b129-c292ebd4f53a', 'user_id': '2808bc43-e1ca-4bb6-83c8-17e29a5ddfa3'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4d4'), 'propoal_description': 'District Program Strategist', 'status': '1', 'created_at': datetime.datetime(2013, 11, 19, 11, 59, 47), 'updated_at': datetime.datetime(2010, 4, 17, 12, 7, 42), '__v': 0.0, 'job_id': 'daba470e-5387-45e4-a0f4-9d36475e4759', 'user_id': 'b745fcba-9add-4be8-a2fe-537845920293'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4d5'), 'propoal_description': 'Customer Creative Strategist', 'status': '1', 'created_at': datetime.datetime(2017, 5, 26, 17, 46, 42), 'updated_at': datetime.datetime(2014, 12, 31, 22, 36, 9), '__v': 0.0, 'job_id': '29f4689c-3aa9-497a-9c34-3dd7be02f716', 'user_id': 'd91108dd-3d19-49ba-af3c-f3793af0738c'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4d6'), 'propoal_description': 'Customer Configuration Planner', 'status': '1', 'created_at': datetime.datetime(2019, 3, 27, 15, 18, 51), 'updated_at': datetime.datetime(2014, 3, 25, 21, 8, 49), '__v': 0.0, 'job_id': 'bd7f8ba0-2f90-4e7c-b810-5fd4ac1427c9', 'user_id': '914fe9ab-6ef1-4a40-86e5-61da519a1281'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4d7'), 'propoal_description': 'Senior Interactions Facilitator', 'status': '1', 'created_at': datetime.datetime(2018, 2, 13, 14, 16), 'updated_at': datetime.datetime(2013, 5, 27, 1, 22, 46), '__v': 0.0, 'job_id': 'b74fd9f0-76c9-4f29-9c66-7f0304d5db19', 'user_id': 'e8df8cc1-4a8d-43bf-9aa5-ddabbfa0e8bf'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4d8'), 'propoal_description': 'Future Directives Developer', 'status': '1', 'created_at': datetime.datetime(2013, 3, 12, 7, 17, 22), 'updated_at': datetime.datetime(2017, 5, 27, 17, 32, 2), '__v': 0.0, 'job_id': '51adc56e-240b-46a7-9b39-0d6b04634fb5', 'user_id': '8eb4d04e-8e10-4bbb-8ce9-96ebda9c360c'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4d9'), 'propoal_description': 'Direct Data Facilitator', 'status': '1', 'created_at': datetime.datetime(2016, 1, 10, 12, 33, 48), 'updated_at': datetime.datetime(2010, 2, 1, 19, 54, 57), '__v': 0.0, 'job_id': 'cfd7b7d3-bd1d-4ada-840c-e595f3fbd649', 'user_id': '2434ae64-80b7-4d7b-a836-d89922d17ee0'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4da'), 'propoal_description': 'Direct Infrastructure Director', 'status': '1', 'created_at': datetime.datetime(2015, 3, 26, 9, 12, 33), 'updated_at': datetime.datetime(2013, 9, 19, 17, 11, 59), '__v': 0.0, 'job_id': '961a55f6-9a6d-42a9-a568-81cb46821c11', 'user_id': '20d1d42d-5e57-4b4c-8184-581009df67e6'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4db'), 'propoal_description': 'National Configuration Liason', 'status': '1', 'created_at': datetime.datetime(2015, 1, 21, 10, 43, 39), 'updated_at': datetime.datetime(2015, 5, 2, 20, 47, 10), '__v': 0.0, 'job_id': '41c7309b-3824-4f87-861f-9a15d256035f', 'user_id': 'ebfb9678-2517-4630-b179-c7c70c5a2309'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d4dc'), 'propoal_description': 'District Factors Agent', 'status': '1', 'created_at': datetime.datetime(2012, 2, 16, 10, 8, 38), 'updated_at': datetime.datetime(2015, 4, 3, 1, 35, 20), '__v': 0.0, 'job_id': 'd97c0a72-5634-44c0-ab14-ea0456b49632', 'user_id': '3053af1e-304c-49d5-893a-8a263d0d4402'}
<class 'dict'>
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{'_id': ObjectId('5e54146d9da33c5135b3d4df'), 'propoal_description': 'Dynamic Applications Analyst', 'status': '1', 'created_at': datetime.datetime(2019, 8, 12, 8, 40, 32), 'updated_at': datetime.datetime(2012, 9, 24, 22, 28, 16), '__v': 0.0, 'job_id': 'cbf4007a-bc68-4d10-b2bd-b1c3cd9e0024', 'user_id': 'b3d3f41f-4de2-4a8f-a8ff-d6ad20747734'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4e0'), 'propoal_description': 'Principal Applications Associate', 'status': '1', 'created_at': datetime.datetime(2016, 5, 27, 23, 32, 45), 'updated_at': datetime.datetime(2014, 10, 2, 2, 5, 4), '__v': 0.0, 'job_id': '1f970813-a95c-4797-8831-d2e79a306b85', 'user_id': '0a8fd3dc-b1a0-44ec-a1ab-08e30b5ed036'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4e1'), 'propoal_description': 'Global Security Executive', 'status': '1', 'created_at': datetime.datetime(2013, 7, 9, 22, 14, 10), 'updated_at': datetime.datetime(2010, 6, 22, 21, 37, 51), '__v': 0.0, 'job_id': '0a145505-2c63-4fe5-86fb-1aa1938f7e0d', 'user_id': '219d9987-68e2-4826-9506-3d16e75a1e28'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4e2'), 'propoal_description': 'International Communications Associate', 'status': '1', 'created_at': datetime.datetime(2011, 8, 31, 23, 34, 36), 'updated_at': datetime.datetime(2016, 12, 1, 0, 36, 15), '__v': 0.0, 'job_id': '5133d19b-e775-4638-8ed8-63d09bdba4f0', 'user_id': '6b96062b-aabc-4650-8e2d-b6f95f1a565c'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4e3'), 'propoal_description': 'Chief Accounts Engineer', 'status': '1', 'created_at': datetime.datetime(2010, 8, 14, 7, 31, 38), 'updated_at': datetime.datetime(2016, 6, 19, 16, 12, 41), '__v': 0.0, 'job_id': 'b46449d8-7891-470a-a5c9-9011e1bf63ef', 'user_id': '59cee582-55ce-4d7e-bf1d-01723a6da189'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4e4'), 'propoal_description': 'Future Solutions Assistant', 'status': '1', 'created_at': datetime.datetime(2013, 3, 23, 9, 35, 11), 'updated_at': datetime.datetime(2017, 10, 30, 6, 5, 47), '__v': 0.0, 'job_id': '40a05538-a763-4f25-8c1c-b075880426ff', 'user_id': '59d517c8-4668-4a1b-bc64-e4c3ee9e73e4'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4e5'), 'propoal_description': 'Dynamic Response Representative', 'status': '1', 'created_at': datetime.datetime(2016, 8, 31, 0, 34, 24), 'updated_at': datetime.datetime(2018, 8, 19, 6, 6, 56), '__v': 0.0, 'job_id': 'b652d65d-1559-44fe-b3cc-44d66682aec5', 'user_id': '2692ecd4-cbf3-4ed4-a532-b607d137e3dd'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4e6'), 'propoal_description': 'Future Research Orchestrator', 'status': '1', 'created_at': datetime.datetime(2014, 1, 2, 5, 4, 22), 'updated_at': datetime.datetime(2015, 11, 30, 23, 15, 27), '__v': 0.0, 'job_id': 'c22b875c-3cd5-4f67-99b5-484c7fad5b60', 'user_id': 'd3bb67c7-e603-4391-ae3c-6c444e2945ba'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4e7'), 'propoal_description': 'Forward Program Assistant', 'status': '1', 'created_at': datetime.datetime(2018, 8, 14, 0, 3, 1), 'updated_at': datetime.datetime(2012, 1, 12, 16, 47, 39), '__v': 0.0, 'job_id': '78c9539c-8d0a-4872-baf9-04cb80b4c4d5', 'user_id': 'a998bb13-0586-4209-840c-1db5194c76e4'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4e8'), 'propoal_description': 'Customer Data Coordinator', 'status': '1', 'created_at': datetime.datetime(2019, 5, 22, 22, 41, 19), 'updated_at': datetime.datetime(2012, 10, 2, 19, 56, 42), '__v': 0.0, 'job_id': '5ed25bd6-212f-4f64-a02e-4f14015b4895', 'user_id': 'df017c72-bef1-4a06-97b1-ecadcb9d1c4c'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4e9'), 'propoal_description': 'Direct Tactics Orchestrator', 'status': '1', 'created_at': datetime.datetime(2014, 5, 18, 10, 43, 31), 'updated_at': datetime.datetime(2011, 5, 26, 0, 15, 14), '__v': 0.0, 'job_id': 'eeaa1f85-12cd-4604-b55f-c09e3d9ea18f', 'user_id': '57484a76-1063-41f5-a8c8-cf040598ed06'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4ea'), 'propoal_description': 'International Division Director', 'status': '1', 'created_at': datetime.datetime(2017, 3, 23, 11, 18), 'updated_at': datetime.datetime(2010, 6, 6, 20, 6, 14), '__v': 0.0, 'job_id': '1b5907a6-3d9c-4235-b5a4-89f44526f2de', 'user_id': '6882722e-dd49-404b-b7e6-92faf87c3aa1'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4eb'), 'propoal_description': 'Senior Usability Planner', 'status': '1', 'created_at': datetime.datetime(2017, 2, 7, 1, 4, 1), 'updated_at': datetime.datetime(2017, 2, 4, 20, 28, 20), '__v': 0.0, 'job_id': 'f115b7f7-2910-45de-822f-29f2def1cad1', 'user_id': 'e7a31c38-60ee-4089-984b-fd33af9c9e3d'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4ec'), 'propoal_description': 'Legacy Markets Executive', 'status': '1', 'created_at': datetime.datetime(2012, 2, 21, 21, 0, 26), 'updated_at': datetime.datetime(2016, 5, 5, 19, 21, 52), '__v': 0.0, 'job_id': 'bcec13ab-8654-4972-afda-e76a4d047bca', 'user_id': 'e5ca6b8b-e424-41da-a312-314cbb420f7a'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4ed'), 'propoal_description': 'Chief Usability Specialist', 'status': '1', 'created_at': datetime.datetime(2011, 11, 9, 22, 40, 18), 'updated_at': datetime.datetime(2019, 5, 18, 23, 7, 1), '__v': 0.0, 'job_id': '578e722a-4d29-49f3-b25c-1cc6610fd1b0', 'user_id': '7d7acc30-a5b3-4b61-b039-d9e25318165e'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4ee'), 'propoal_description': 'Chief Security Analyst', 'status': '1', 'created_at': datetime.datetime(2018, 4, 27, 5, 0, 17), 'updated_at': datetime.datetime(2012, 8, 8, 8, 18, 23), '__v': 0.0, 'job_id': '0ef92c11-44d7-46e8-80e0-f9b9f37878c8', 'user_id': 'f7c923cf-5f5e-403a-8a9a-64ebec27f2ff'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4ef'), 'propoal_description': 'Corporate Integration Facilitator', 'status': '1', 'created_at': datetime.datetime(2017, 12, 1, 3, 54, 16), 'updated_at': datetime.datetime(2014, 3, 25, 13, 30, 44), '__v': 0.0, 'job_id': '451d4a8a-f672-49c0-b6c2-d01fd1b4103c', 'user_id': '2fca63d8-7993-49fd-88f0-0e2d81d52f5a'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4f0'), 'propoal_description': 'Regional Factors Facilitator', 'status': '1', 'created_at': datetime.datetime(2013, 4, 16, 15, 37, 45), 'updated_at': datetime.datetime(2011, 11, 17, 6, 55, 2), '__v': 0.0, 'job_id': 'd5a40e87-1dd8-4d91-bdab-03a1132527a8', 'user_id': 'ba6cfb75-cd26-4c6d-9021-112e168c9645'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4f1'), 'propoal_description': 'Dynamic Communications Agent', 'status': '1', 'created_at': datetime.datetime(2013, 9, 8, 9, 28), 'updated_at': datetime.datetime(2017, 6, 29, 19, 58, 7), '__v': 0.0, 'job_id': '7a7214cc-4039-4ac2-b1a9-b12da4216151', 'user_id': '2885541a-991e-48f1-b7ac-64205b258be4'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4f2'), 'propoal_description': 'Chief Web Manager', 'status': '1', 'created_at': datetime.datetime(2018, 12, 24, 0, 18, 59), 'updated_at': datetime.datetime(2014, 7, 10, 8, 51, 58), '__v': 0.0, 'job_id': 'c10004e0-96ad-40e3-b950-b6a07f71936f', 'user_id': '2a68ae87-5b3f-46a7-8fe2-ff4ae0d009eb'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4f3'), 'propoal_description': 'Forward Web Agent', 'status': '1', 'created_at': datetime.datetime(2012, 5, 8, 0, 32, 51), 'updated_at': datetime.datetime(2015, 11, 28, 17, 26, 33), '__v': 0.0, 'job_id': 'c7f8de4f-9efc-4968-a55c-9b5c56ee88b3', 'user_id': 'e610fcf1-c9cc-439e-ac8d-7eded160b43d'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4f4'), 'propoal_description': 'Corporate Configuration Consultant', 'status': '1', 'created_at': datetime.datetime(2011, 10, 28, 16, 40, 9), 'updated_at': datetime.datetime(2018, 3, 2, 7, 21, 5), '__v': 0.0, 'job_id': '084f8deb-dde0-4848-bfe6-bb1cca3ff32b', 'user_id': '880c39de-cebd-4c00-91e7-c3ea543f5d0a'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4f5'), 'propoal_description': 'Product Integration Designer', 'status': '1', 'created_at': datetime.datetime(2012, 9, 16, 13, 18, 51), 'updated_at': datetime.datetime(2019, 6, 23, 0, 48, 30), '__v': 0.0, 'job_id': 'dfeff5cf-1ec3-4830-afd8-1392a2b54e0b', 'user_id': '616ff6b6-e91b-4dbc-a1d4-c0076f252388'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4f7'), 'propoal_description': 'Customer Creative Coordinator', 'status': '1', 'created_at': datetime.datetime(2015, 9, 22, 23, 16, 47), 'updated_at': datetime.datetime(2015, 1, 25, 16, 59, 59), '__v': 0.0, 'job_id': '3f228b3f-0dfe-43a6-b8cf-320ca218b738', 'user_id': 'fe40e5cb-3342-4137-871f-e9952c30f336'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4fa'), 'propoal_description': 'International Integration Technician', 'status': '1', 'created_at': datetime.datetime(2015, 4, 27, 1, 45, 4), 'updated_at': datetime.datetime(2015, 9, 1, 5, 4, 27), '__v': 0.0, 'job_id': '1f1a71ea-4994-47fd-8c1e-db72ba2d5f3a', 'user_id': 'ae4cbfcc-530c-4ee8-94b9-a081f44efc6a'}
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{'_id': ObjectId('5e54146d9da33c5135b3d4ff'), 'propoal_description': 'Product Data Architect', 'status': '1', 'created_at': datetime.datetime(2016, 12, 16, 3, 38, 50), 'updated_at': datetime.datetime(2018, 5, 26, 0, 52, 34), '__v': 0.0, 'job_id': 'ecc54e7f-5321-4705-854a-c7903ad847c1', 'user_id': 'b0478dc9-9fee-437c-9404-5bada18b9d1b'}
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{'_id': ObjectId('5e54146d9da33c5135b3d509'), 'propoal_description': 'Dynamic Directives Representative', 'status': '1', 'created_at': datetime.datetime(2012, 8, 19, 18, 57, 4), 'updated_at': datetime.datetime(2017, 3, 6, 10, 56, 12), '__v': 0.0, 'job_id': '340505cd-3bbb-438d-8095-80f638363fb4', 'user_id': '5aafb2da-bb7a-4216-9cdb-3e1c1e431b1e'}
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{'_id': ObjectId('5e54146d9da33c5135b3d519'), 'propoal_description': 'Principal Optimization Engineer', 'status': '1', 'created_at': datetime.datetime(2012, 6, 24, 1, 27, 9), 'updated_at': datetime.datetime(2013, 2, 3, 4, 48, 59), '__v': 0.0, 'job_id': '21daf470-1770-4da4-a09f-c3e2f561b7fe', 'user_id': '66da1894-29e0-4fc3-9e6d-204f10e959ac'}
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{'_id': ObjectId('5e54146d9da33c5135b3d51a'), 'propoal_description': 'Dynamic Factors Analyst', 'status': '1', 'created_at': datetime.datetime(2017, 9, 14, 5, 35, 1), 'updated_at': datetime.datetime(2011, 3, 14, 4, 14, 59), '__v': 0.0, 'job_id': 'c1cf9c17-3275-4dad-978a-5c112bf5f6a2', 'user_id': 'b390d0ab-f278-4825-9e5e-9c2a002745ca'}
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{'_id': ObjectId('5e54146d9da33c5135b3d51d'), 'propoal_description': 'Investor Mobility Agent', 'status': '1', 'created_at': datetime.datetime(2017, 11, 7, 14, 28, 2), 'updated_at': datetime.datetime(2011, 5, 10, 22, 59, 47), '__v': 0.0, 'job_id': '61a73158-141c-42c5-b074-0659899ead33', 'user_id': '0bbb18b4-b2bf-4938-a900-2df3096c3cb2'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5d5'), 'propoal_description': 'Human Security Producer', 'status': '1', 'created_at': datetime.datetime(2015, 4, 17, 4, 23, 28), 'updated_at': datetime.datetime(2016, 2, 28, 2, 43, 41), '__v': 0.0, 'job_id': '1920d3ce-9c34-40cb-8a28-024481bb9f34', 'user_id': 'b909d938-ed69-4bb4-990b-e30e88875ab1'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5d7'), 'propoal_description': 'Lead Intranet Executive', 'status': '1', 'created_at': datetime.datetime(2018, 5, 14, 0, 16, 56), 'updated_at': datetime.datetime(2015, 4, 1, 22, 25, 42), '__v': 0.0, 'job_id': '1db82d34-39ff-4092-8892-0c34af6887c3', 'user_id': '8b5e4166-2996-4942-900f-a77387ff80e1'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5d8'), 'propoal_description': 'Principal Security Facilitator', 'status': '1', 'created_at': datetime.datetime(2011, 9, 19, 20, 1, 9), 'updated_at': datetime.datetime(2013, 11, 6, 2, 15, 22), '__v': 0.0, 'job_id': 'bc711804-ff4a-47e5-9925-73b5ae59db43', 'user_id': 'e3c7217e-8e3e-4dd8-bfc2-ec275ac43511'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5da'), 'propoal_description': 'Future Interactions Assistant', 'status': '1', 'created_at': datetime.datetime(2013, 3, 23, 9, 23, 9), 'updated_at': datetime.datetime(2010, 11, 9, 23, 50, 1), '__v': 0.0, 'job_id': '9746c26c-2b2a-427e-97b1-b5adfa6df337', 'user_id': '44777dee-b8b7-485f-895b-9a642e174928'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5db'), 'propoal_description': 'Global Creative Technician', 'status': '1', 'created_at': datetime.datetime(2013, 7, 5, 6, 33, 16), 'updated_at': datetime.datetime(2017, 1, 21, 11, 25, 17), '__v': 0.0, 'job_id': 'df8893e5-b929-4e87-a7d2-37de0f07a2f7', 'user_id': '49d61911-11e8-4c78-85c8-2296a59be995'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5dc'), 'propoal_description': 'Human Identity Strategist', 'status': '1', 'created_at': datetime.datetime(2013, 4, 8, 14, 49, 35), 'updated_at': datetime.datetime(2017, 3, 12, 4, 31, 21), '__v': 0.0, 'job_id': 'af559a04-bb5d-43c0-805b-e81b2408726c', 'user_id': 'd2c6a118-8b38-452f-8b92-48b95f07a242'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5df'), 'propoal_description': 'Lead Integration Representative', 'status': '1', 'created_at': datetime.datetime(2019, 5, 14, 3, 17, 12), 'updated_at': datetime.datetime(2015, 7, 30, 3, 14, 37), '__v': 0.0, 'job_id': '2cea9307-bba3-4a42-9f2f-0a9069e57d0b', 'user_id': 'b520c6cb-d7fb-41ba-b3b7-1692a8d7cd0a'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5e0'), 'propoal_description': 'Lead Web Designer', 'status': '1', 'created_at': datetime.datetime(2014, 11, 27, 12, 1, 57), 'updated_at': datetime.datetime(2018, 5, 25, 7, 52, 59), '__v': 0.0, 'job_id': '8131e4d6-2e1e-41b2-98a0-e196b6242450', 'user_id': '54a83867-10c0-42ff-9125-3cf0f9e93162'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5e4'), 'propoal_description': 'National Configuration Administrator', 'status': '1', 'created_at': datetime.datetime(2016, 1, 29, 7, 30, 43), 'updated_at': datetime.datetime(2017, 1, 20, 15, 43, 40), '__v': 0.0, 'job_id': '8e672dfb-6202-49f3-a82c-74a83533ddb3', 'user_id': '6a0a509a-a30b-4e83-a890-34fa5e514d38'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5e6'), 'propoal_description': 'National Metrics Orchestrator', 'status': '1', 'created_at': datetime.datetime(2012, 11, 1, 13, 13, 49), 'updated_at': datetime.datetime(2012, 8, 25, 16, 4, 3), '__v': 0.0, 'job_id': '1d505aa5-7b27-4d8d-9b3f-7a968b999916', 'user_id': 'c1ce03f6-4f46-47dd-b977-388bd2344b25'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5e9'), 'propoal_description': 'National Identity Officer', 'status': '1', 'created_at': datetime.datetime(2017, 4, 18, 18, 29, 26), 'updated_at': datetime.datetime(2015, 6, 24, 8, 41, 48), '__v': 0.0, 'job_id': '6c3def3b-d7d6-49e6-90b8-835152b82fec', 'user_id': '5713f006-1ecc-43d5-a812-0e859ac17e3b'}
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{'_id': ObjectId('5e54146d9da33c5135b3d5ee'), 'propoal_description': 'Dynamic Identity Liason', 'status': '1', 'created_at': datetime.datetime(2013, 4, 19, 22, 37, 39), 'updated_at': datetime.datetime(2018, 1, 7, 23, 45, 22), '__v': 0.0, 'job_id': 'e720450f-f9cf-4941-8b51-ca5a33594cc9', 'user_id': 'ee3150e4-4785-4b0e-8ab1-6526d072c291'}
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{'_id': ObjectId('5e54146d9da33c5135b3d66d'), 'propoal_description': 'Product Optimization Representative', 'status': '1', 'created_at': datetime.datetime(2013, 9, 27, 3, 44, 56), 'updated_at': datetime.datetime(2015, 11, 30, 14, 6, 20), '__v': 0.0, 'job_id': '87e3010e-8fd8-4ee8-a8a3-ed63202c721f', 'user_id': '855174bb-a1e0-48cb-b322-000295eee47f'}
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{'_id': ObjectId('5e54146d9da33c5135b3d691'), 'propoal_description': 'Dynamic Markets Consultant', 'status': '1', 'created_at': datetime.datetime(2016, 6, 20, 3, 16, 1), 'updated_at': datetime.datetime(2019, 3, 12, 14, 49, 43), '__v': 0.0, 'job_id': 'e45fa53c-8e47-4773-9258-d251c1d52c94', 'user_id': '395480c4-4fe9-4192-9bb3-26ea9a045027'}
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{'_id': ObjectId('5e54146d9da33c5135b3d692'), 'propoal_description': 'Direct Group Producer', 'status': '1', 'created_at': datetime.datetime(2010, 9, 29, 10, 29, 20), 'updated_at': datetime.datetime(2014, 1, 1, 22, 19, 13), '__v': 0.0, 'job_id': 'dca0694c-aba2-4f2a-8e1b-f16b3b2e3891', 'user_id': '6584a0c4-853b-4f7d-adaa-0df7d01bee19'}
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{'_id': ObjectId('5e54146d9da33c5135b3d697'), 'propoal_description': 'Future Web Consultant', 'status': '1', 'created_at': datetime.datetime(2011, 1, 10, 4, 32, 23), 'updated_at': datetime.datetime(2011, 2, 5, 14, 23, 56), '__v': 0.0, 'job_id': '886a5d00-31c4-4fa5-a41b-7d37ec6d1280', 'user_id': 'c25fc421-8f71-4233-b82a-48bbac7a307a'}
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{'_id': ObjectId('5e54146d9da33c5135b3d699'), 'propoal_description': 'Dynamic Directives Representative', 'status': '1', 'created_at': datetime.datetime(2012, 1, 7, 2, 58, 24), 'updated_at': datetime.datetime(2014, 9, 9, 18, 21, 7), '__v': 0.0, 'job_id': 'abc7e4b5-a282-489f-b9b9-99834e3ffa06', 'user_id': '1fd6eb74-5504-463f-84c4-a88983ab6cf3'}
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{'_id': ObjectId('5e54146d9da33c5135b3d69a'), 'propoal_description': 'District Program Engineer', 'status': '1', 'created_at': datetime.datetime(2013, 10, 23, 11, 53, 41), 'updated_at': datetime.datetime(2010, 6, 11, 9, 41, 33), '__v': 0.0, 'job_id': 'd9d34cea-7579-4144-9494-6d8fff4c3efc', 'user_id': '49adafbe-27a4-410a-a3e8-ede1bfa2a6ef'}
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{'_id': ObjectId('5e54146d9da33c5135b3d69b'), 'propoal_description': 'Legacy Functionality Executive', 'status': '1', 'created_at': datetime.datetime(2011, 8, 16, 0, 18, 59), 'updated_at': datetime.datetime(2018, 6, 10, 18, 40, 53), '__v': 0.0, 'job_id': 'a3830ddb-a8d0-4283-97a2-fbad75af9fae', 'user_id': 'c29fe1f3-30a1-4f3c-ac8f-fc9ec9dca2b3'}
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{'_id': ObjectId('5e54146d9da33c5135b3d69c'), 'propoal_description': 'Future Creative Associate', 'status': '1', 'created_at': datetime.datetime(2016, 12, 31, 9, 39, 40), 'updated_at': datetime.datetime(2013, 11, 26, 5, 41, 3), '__v': 0.0, 'job_id': '4035677f-3499-46f6-b024-277e15ff8e1c', 'user_id': '14257ca7-46b5-426d-8f3a-c7ad89207ba0'}
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{'_id': ObjectId('5e54146d9da33c5135b3d69d'), 'propoal_description': 'Direct Solutions Agent', 'status': '1', 'created_at': datetime.datetime(2011, 2, 22, 8, 47, 57), 'updated_at': datetime.datetime(2012, 4, 22, 0, 45, 39), '__v': 0.0, 'job_id': 'db85716a-c832-46d5-b427-95762c205ab0', 'user_id': '438f0a1d-9e3e-4deb-8a0f-58fb2c1a3cf2'}
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{'_id': ObjectId('5e54146d9da33c5135b3d69e'), 'propoal_description': 'Investor Assurance Manager', 'status': '1', 'created_at': datetime.datetime(2013, 3, 4, 2, 16, 56), 'updated_at': datetime.datetime(2014, 3, 9, 7, 4, 26), '__v': 0.0, 'job_id': '0ed7d4eb-13b6-457e-bc1b-36ba2183ba6f', 'user_id': '1b247216-6357-4d76-8690-de82c9ca2b9e'}
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{'_id': ObjectId('5e54146d9da33c5135b3d69f'), 'propoal_description': 'Corporate Research Administrator', 'status': '1', 'created_at': datetime.datetime(2017, 2, 14, 22, 2, 42), 'updated_at': datetime.datetime(2011, 4, 22, 19, 57, 11), '__v': 0.0, 'job_id': '0493dd82-5370-412e-827d-fdeb3f3ba2e0', 'user_id': '78e9d7c7-a9dd-4142-be5c-f53b83fdedbd'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6be'), 'propoal_description': 'Human Usability Executive', 'status': '1', 'created_at': datetime.datetime(2011, 10, 17, 11, 10, 16), 'updated_at': datetime.datetime(2016, 5, 4, 2, 14, 56), '__v': 0.0, 'job_id': 'fc52e39c-83b6-4b5a-a63e-0d7b06f3e2d4', 'user_id': 'd83e1441-ced8-4f1c-9150-7acf0704f796'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6bf'), 'propoal_description': 'Senior Accounts Coordinator', 'status': '1', 'created_at': datetime.datetime(2017, 7, 4, 23, 16, 5), 'updated_at': datetime.datetime(2018, 3, 21, 7, 41, 52), '__v': 0.0, 'job_id': '7d3098be-cbfb-491d-a708-2151c571d1c1', 'user_id': 'bb979325-c4eb-4ed0-a950-75e7f171a607'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6c0'), 'propoal_description': 'Human Solutions Executive', 'status': '1', 'created_at': datetime.datetime(2011, 11, 4, 12, 10, 54), 'updated_at': datetime.datetime(2016, 5, 7, 22, 44, 43), '__v': 0.0, 'job_id': 'f5374cdf-7edd-45b6-8797-6b7da005b06c', 'user_id': 'eb2f59d4-6277-460c-a48b-c1ec12b8feb3'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6c1'), 'propoal_description': 'Chief Metrics Analyst', 'status': '1', 'created_at': datetime.datetime(2015, 12, 26, 14, 25, 27), 'updated_at': datetime.datetime(2012, 8, 1, 19, 34, 59), '__v': 0.0, 'job_id': 'e07397d3-3b2a-4f24-bb82-6a3dac194779', 'user_id': '218170d2-5ce5-402d-a69e-c58d6a91b86d'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6c2'), 'propoal_description': 'Forward Web Associate', 'status': '1', 'created_at': datetime.datetime(2012, 12, 10, 5, 40, 38), 'updated_at': datetime.datetime(2014, 4, 26, 19, 40, 49), '__v': 0.0, 'job_id': '2fe21bb5-01e4-4577-8a18-145fcddda570', 'user_id': '4af2c7bb-8fde-4be0-82b4-57000ef73653'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6c3'), 'propoal_description': 'Dynamic Program Liason', 'status': '1', 'created_at': datetime.datetime(2015, 7, 24, 17, 22, 5), 'updated_at': datetime.datetime(2014, 11, 16, 18, 45, 34), '__v': 0.0, 'job_id': 'a437fb68-afa6-4f8e-bc1f-cc7c26529339', 'user_id': '23838c07-6ab6-4831-b000-1f68c271cc98'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6c4'), 'propoal_description': 'Internal Usability Associate', 'status': '1', 'created_at': datetime.datetime(2013, 8, 31, 3, 51, 44), 'updated_at': datetime.datetime(2018, 5, 17, 2, 41, 13), '__v': 0.0, 'job_id': 'efd9f83a-f4ed-4c0b-95af-4d53f83540f3', 'user_id': '82748519-8c6c-4be7-bc0f-8af82910bebf'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6c5'), 'propoal_description': 'District Creative Architect', 'status': '1', 'created_at': datetime.datetime(2014, 4, 7, 21, 1, 25), 'updated_at': datetime.datetime(2011, 12, 6, 4, 2, 43), '__v': 0.0, 'job_id': 'cd0cb8d9-d7dc-4c88-b620-fd266f94c51f', 'user_id': '66e31860-9a3b-49cf-9a4e-cdf704fc49ed'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6c6'), 'propoal_description': 'Corporate Marketing Executive', 'status': '1', 'created_at': datetime.datetime(2013, 2, 4, 10, 10, 31), 'updated_at': datetime.datetime(2010, 11, 4, 11, 28, 33), '__v': 0.0, 'job_id': 'a8a1dd5b-55bb-4093-9bdb-9c14c731259f', 'user_id': 'c60a6a44-8deb-4749-8b84-29fae3ee4a4d'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6c7'), 'propoal_description': 'Internal Applications Facilitator', 'status': '1', 'created_at': datetime.datetime(2010, 4, 2, 22, 12, 55), 'updated_at': datetime.datetime(2011, 3, 28, 20, 58, 59), '__v': 0.0, 'job_id': '44cb1f95-6aff-4155-bb56-e21a091351b5', 'user_id': 'e19b7a6b-d463-4ae6-8aee-946e8622909f'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6c8'), 'propoal_description': 'Forward Paradigm Specialist', 'status': '1', 'created_at': datetime.datetime(2018, 2, 25, 11, 54, 5), 'updated_at': datetime.datetime(2019, 6, 8, 7, 41, 1), '__v': 0.0, 'job_id': '1b543e4a-0f8f-4f53-9049-1fffc00a7f34', 'user_id': '96226193-528f-4c12-a32e-d074023b3c9c'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6c9'), 'propoal_description': 'Internal Group Developer', 'status': '1', 'created_at': datetime.datetime(2014, 9, 12, 22, 24, 35), 'updated_at': datetime.datetime(2018, 5, 13, 3, 52, 16), '__v': 0.0, 'job_id': '87f79cad-73ff-481c-b768-cb1b60d14e06', 'user_id': '92905b9a-f82a-4a1a-9d8e-5b4d4c9ee1b0'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6ca'), 'propoal_description': 'Investor Accounts Manager', 'status': '1', 'created_at': datetime.datetime(2013, 7, 27, 10, 34, 18), 'updated_at': datetime.datetime(2015, 6, 25, 7, 19, 34), '__v': 0.0, 'job_id': '11ec3fc6-11ef-4cfd-a2f6-31de78e31d2e', 'user_id': 'e8c9eac4-e2a5-4a7e-8e59-b9bf52d4ddf8'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6cb'), 'propoal_description': 'Global Assurance Manager', 'status': '1', 'created_at': datetime.datetime(2014, 10, 27, 21, 13, 19), 'updated_at': datetime.datetime(2011, 2, 16, 16, 53, 53), '__v': 0.0, 'job_id': '9b229618-ef58-4bb2-95ee-dfac6ffabf75', 'user_id': '2a9fe003-dd61-4cdd-9d2b-7e4dd7745b72'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6cc'), 'propoal_description': 'Dynamic Assurance Administrator', 'status': '1', 'created_at': datetime.datetime(2011, 1, 26, 13, 52, 24), 'updated_at': datetime.datetime(2015, 6, 28, 17, 22, 30), '__v': 0.0, 'job_id': '60e1bf12-ef76-436a-90b9-f60e2d82d1aa', 'user_id': '132b0675-0d8b-46e2-94a8-ea7cc84a5df8'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6cd'), 'propoal_description': 'National Configuration Representative', 'status': '1', 'created_at': datetime.datetime(2012, 4, 6, 13, 43, 8), 'updated_at': datetime.datetime(2015, 5, 6, 0, 39, 52), '__v': 0.0, 'job_id': 'f6d97f7e-6395-4023-84b4-2aa4a7eaae1f', 'user_id': '47f4e99b-660a-48c3-81d0-77fc797936c2'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6ce'), 'propoal_description': 'Global Applications Analyst', 'status': '1', 'created_at': datetime.datetime(2014, 7, 6, 5, 23, 22), 'updated_at': datetime.datetime(2013, 9, 13, 6, 12, 5), '__v': 0.0, 'job_id': '68f8ae11-4382-4a69-b8fb-9062f17fae65', 'user_id': 'd4535a64-ae99-482d-9058-8481679ff738'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6cf'), 'propoal_description': 'Regional Accountability Engineer', 'status': '1', 'created_at': datetime.datetime(2013, 7, 28, 16, 7, 21), 'updated_at': datetime.datetime(2016, 6, 26, 22, 4, 21), '__v': 0.0, 'job_id': '53f89768-c77a-4357-87c9-2809b820cf79', 'user_id': 'a30f1e9f-8e18-4b71-941a-7244253e19ae'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6d0'), 'propoal_description': 'Product Web Officer', 'status': '1', 'created_at': datetime.datetime(2017, 9, 24, 1, 57, 44), 'updated_at': datetime.datetime(2011, 5, 14, 13, 2, 19), '__v': 0.0, 'job_id': '9326fe30-e8f1-4b99-b131-94add6c641f5', 'user_id': '72bdd920-60aa-4346-b7e4-db20e4b7ed90'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6d1'), 'propoal_description': 'Lead Security Facilitator', 'status': '1', 'created_at': datetime.datetime(2015, 12, 21, 22, 40, 11), 'updated_at': datetime.datetime(2017, 12, 27, 23, 38, 28), '__v': 0.0, 'job_id': 'b8727be7-799e-4cf8-8d48-8378a749b268', 'user_id': 'a5ec36d4-f5e0-46fc-82a7-f6daf2601cb2'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6d2'), 'propoal_description': 'Corporate Factors Orchestrator', 'status': '1', 'created_at': datetime.datetime(2017, 5, 10, 16, 0, 38), 'updated_at': datetime.datetime(2011, 4, 28, 6, 35, 23), '__v': 0.0, 'job_id': '9be38be1-2446-4714-81f3-9d19bc7aee8d', 'user_id': '0c42c3a2-16d4-4fe7-a821-6315c53c76d3'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6d3'), 'propoal_description': 'Human Tactics Designer', 'status': '1', 'created_at': datetime.datetime(2016, 3, 30, 19, 15, 33), 'updated_at': datetime.datetime(2017, 10, 26, 15, 28, 55), '__v': 0.0, 'job_id': '150dcd10-efce-4258-ad28-ff59f0eeb394', 'user_id': 'c4102503-5ea9-4b3e-ab2b-1a46ef352acb'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6d4'), 'propoal_description': 'Customer Accounts Analyst', 'status': '1', 'created_at': datetime.datetime(2017, 10, 27, 22, 52, 17), 'updated_at': datetime.datetime(2012, 10, 2, 23, 58, 24), '__v': 0.0, 'job_id': 'a7634443-8b66-4c46-a26a-5950291f1eb3', 'user_id': '872dbc97-63a8-46e1-b92b-d7fbe3032e14'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6d5'), 'propoal_description': 'Forward Accountability Representative', 'status': '1', 'created_at': datetime.datetime(2016, 10, 20, 19, 25, 17), 'updated_at': datetime.datetime(2016, 4, 28, 15, 29, 24), '__v': 0.0, 'job_id': 'cd51a13e-7d39-4eb0-b6d1-f9cf80f9f58a', 'user_id': '653ca904-19f6-494d-bc21-11d99ab2028d'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6d6'), 'propoal_description': 'Chief Paradigm Supervisor', 'status': '1', 'created_at': datetime.datetime(2018, 9, 12, 19, 18, 16), 'updated_at': datetime.datetime(2019, 7, 7, 3, 28, 2), '__v': 0.0, 'job_id': '1c13f4c0-57cf-4270-b403-a2cfab01f53a', 'user_id': 'c78541e1-3748-4df2-b016-b126a922e360'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6d7'), 'propoal_description': 'National Program Specialist', 'status': '1', 'created_at': datetime.datetime(2016, 8, 9, 12, 57, 8), 'updated_at': datetime.datetime(2013, 3, 11, 6, 5, 29), '__v': 0.0, 'job_id': 'beb60639-327b-46ab-b5fa-46945b7fa345', 'user_id': '3796e2f7-d66c-40fd-bddb-a3fb30b01fa7'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6d8'), 'propoal_description': 'Global Applications Manager', 'status': '1', 'created_at': datetime.datetime(2016, 10, 25, 23, 38, 25), 'updated_at': datetime.datetime(2018, 6, 2, 11, 25, 41), '__v': 0.0, 'job_id': '8f4e28ed-0d4b-4c10-a0ce-ed81641c6194', 'user_id': '57cf068e-3b58-467f-be12-adeed8f554fa'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6d9'), 'propoal_description': 'Direct Accountability Manager', 'status': '1', 'created_at': datetime.datetime(2013, 7, 18, 13, 53, 8), 'updated_at': datetime.datetime(2015, 8, 19, 20, 17, 52), '__v': 0.0, 'job_id': '773f5450-75b0-43a9-b7fc-06b0120833f6', 'user_id': 'f2f1ae98-e855-4caa-a004-f7039016f775'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6da'), 'propoal_description': 'Customer Data Developer', 'status': '1', 'created_at': datetime.datetime(2012, 8, 4, 6, 58, 40), 'updated_at': datetime.datetime(2019, 9, 20, 4, 59, 30), '__v': 0.0, 'job_id': 'fce6115c-a733-4a9d-910c-1bed50b21d22', 'user_id': 'fde82ee6-504a-46d6-a56d-c0c00358c84a'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6db'), 'propoal_description': 'Investor Intranet Assistant', 'status': '1', 'created_at': datetime.datetime(2017, 10, 21, 11, 13, 42), 'updated_at': datetime.datetime(2011, 5, 26, 3, 59, 31), '__v': 0.0, 'job_id': '435c741e-3b17-4df9-a997-e1ec960b52eb', 'user_id': 'dd1c17c6-3ed6-43fb-86c7-3d017946d4b3'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6dc'), 'propoal_description': 'Senior Solutions Developer', 'status': '1', 'created_at': datetime.datetime(2019, 7, 28, 6, 42, 23), 'updated_at': datetime.datetime(2018, 1, 12, 15, 37, 20), '__v': 0.0, 'job_id': '60d122a6-84cb-4214-9505-604d804c7287', 'user_id': '06f6b32b-9e75-4933-9b52-0cb892c3224c'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6dd'), 'propoal_description': 'Chief Research Associate', 'status': '1', 'created_at': datetime.datetime(2018, 12, 3, 20, 55, 34), 'updated_at': datetime.datetime(2013, 2, 23, 21, 52, 41), '__v': 0.0, 'job_id': '22f13f30-5cfc-4f63-a4c9-cd18c5facc53', 'user_id': '380e0401-1969-463d-89e2-98cd8075a935'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6de'), 'propoal_description': 'Central Accountability Liason', 'status': '1', 'created_at': datetime.datetime(2018, 10, 4, 11, 21, 27), 'updated_at': datetime.datetime(2013, 10, 15, 12, 3, 40), '__v': 0.0, 'job_id': '5e6863f4-c1c8-43cb-b855-e4e9b0850c7d', 'user_id': 'fbb44fa9-f9e2-4e8e-994f-c53fb65b0cd4'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6df'), 'propoal_description': 'Chief Infrastructure Facilitator', 'status': '1', 'created_at': datetime.datetime(2010, 1, 27, 10, 3, 26), 'updated_at': datetime.datetime(2016, 9, 8, 23, 48, 51), '__v': 0.0, 'job_id': 'be06aa0d-6214-475f-be41-4293c0070abf', 'user_id': '90c59622-1c52-403e-8135-5c70825e76aa'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6e0'), 'propoal_description': 'Forward Data Planner', 'status': '1', 'created_at': datetime.datetime(2011, 10, 4, 23, 29, 2), 'updated_at': datetime.datetime(2014, 7, 23, 4, 18, 45), '__v': 0.0, 'job_id': '6f0bea95-5792-4cfe-b7c2-591655c0f0df', 'user_id': '85647953-3bfa-40d4-9b04-65d3fe7b84ed'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6e1'), 'propoal_description': 'Direct Configuration Designer', 'status': '1', 'created_at': datetime.datetime(2014, 12, 9, 10, 31, 31), 'updated_at': datetime.datetime(2016, 6, 3, 3, 33, 25), '__v': 0.0, 'job_id': 'b969b62f-e3a8-4c94-9be8-62bdeba2f720', 'user_id': '4f199671-ae46-4b0a-b078-638756dbd8c8'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6e2'), 'propoal_description': 'Global Markets Officer', 'status': '1', 'created_at': datetime.datetime(2014, 7, 8, 23, 32, 29), 'updated_at': datetime.datetime(2019, 10, 7, 9, 16, 27), '__v': 0.0, 'job_id': '2ec184a5-5d28-4b95-b2f2-a8ebfa75d634', 'user_id': 'f87752a3-5c8e-4970-b261-fb85ad570896'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6e3'), 'propoal_description': 'Investor Branding Supervisor', 'status': '1', 'created_at': datetime.datetime(2013, 1, 25, 7, 16, 31), 'updated_at': datetime.datetime(2010, 10, 31, 12, 30, 54), '__v': 0.0, 'job_id': 'aef2c1b9-ac5b-4317-975c-13b413bfb0af', 'user_id': '65a6c167-c2c6-48f2-bfdf-347ab64d81b6'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6e4'), 'propoal_description': 'Product Creative Engineer', 'status': '1', 'created_at': datetime.datetime(2012, 12, 2, 6, 37, 57), 'updated_at': datetime.datetime(2013, 11, 4, 5, 6, 11), '__v': 0.0, 'job_id': '19a13a8b-27d0-4ef8-8472-1e454311ae61', 'user_id': 'e1ebfe60-9332-4c17-a607-b8ea89a3140f'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6e5'), 'propoal_description': 'Dynamic Communications Officer', 'status': '1', 'created_at': datetime.datetime(2016, 11, 16, 1, 1, 52), 'updated_at': datetime.datetime(2019, 4, 5, 8, 24, 48), '__v': 0.0, 'job_id': 'ab1b9d4f-f819-4204-9187-b1f039c3c185', 'user_id': '947ec2c4-0615-4ec7-9477-04d4d453f9ef'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6e6'), 'propoal_description': 'Human Configuration Strategist', 'status': '1', 'created_at': datetime.datetime(2018, 8, 28, 10, 16, 38), 'updated_at': datetime.datetime(2018, 8, 19, 6, 59, 15), '__v': 0.0, 'job_id': '4351e89f-880c-425d-af91-4b735c1f85bb', 'user_id': '488ae2c8-627d-48b7-9984-cf116c1b4b2f'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6e7'), 'propoal_description': 'Dynamic Intranet Officer', 'status': '1', 'created_at': datetime.datetime(2011, 6, 26, 19, 34, 13), 'updated_at': datetime.datetime(2014, 5, 29, 8, 12, 23), '__v': 0.0, 'job_id': 'bf4bc692-45fa-4ffd-8acf-c9c73afe9623', 'user_id': '411663cc-f43f-4aa2-a35b-4df52caf3da3'}
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{'_id': ObjectId('5e54146d9da33c5135b3d6e8'), 'propoal_description': 'Investor Directives Specialist', 'status': '1', 'created_at': datetime.datetime(2011, 11, 27, 23, 16, 47), 'updated_at': datetime.datetime(2018, 3, 20, 12, 14, 26), '__v': 0.0, 'job_id': '09f9fd49-a1f3-4681-a64c-9fba2f7d7bdb', 'user_id': 'da94c761-a865-475e-a75a-eff40149d937'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7dd'), 'propoal_description': 'Global Response Associate', 'status': '1', 'created_at': datetime.datetime(2012, 4, 8, 5, 12, 9), 'updated_at': datetime.datetime(2018, 11, 20, 1, 54, 16), '__v': 0.0, 'job_id': '453d09f8-7016-429c-8039-c93e2b87bc35', 'user_id': '9bfe277f-b8db-43f7-916d-dc4a4323cffa'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7de'), 'propoal_description': 'Regional Division Officer', 'status': '1', 'created_at': datetime.datetime(2018, 2, 10, 20, 16, 58), 'updated_at': datetime.datetime(2012, 3, 8, 18, 21, 4), '__v': 0.0, 'job_id': 'fad36eb3-296f-47ad-afbc-3844d7a230d4', 'user_id': 'abe2d7ac-c925-473b-8497-f14abb683e27'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7df'), 'propoal_description': 'Forward Configuration Facilitator', 'status': '1', 'created_at': datetime.datetime(2015, 4, 18, 4, 55, 49), 'updated_at': datetime.datetime(2011, 2, 13, 1, 38, 57), '__v': 0.0, 'job_id': '43458ebc-dfa3-48ff-ad32-900c970de217', 'user_id': 'a31fa2b9-dc2d-4d3e-b9af-b2b06f24f2b9'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7e0'), 'propoal_description': 'Internal Integration Orchestrator', 'status': '1', 'created_at': datetime.datetime(2011, 2, 4, 11, 14, 57), 'updated_at': datetime.datetime(2019, 7, 20, 3, 15, 9), '__v': 0.0, 'job_id': 'ad7c99de-f250-4388-86ee-28eb04db3460', 'user_id': 'eb6e99ec-6e7c-4d92-9167-27bbf66be5cb'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7e1'), 'propoal_description': 'Internal Interactions Developer', 'status': '1', 'created_at': datetime.datetime(2017, 1, 3, 9, 16, 15), 'updated_at': datetime.datetime(2018, 10, 20, 23, 19, 17), '__v': 0.0, 'job_id': 'ab1f50f0-bf41-422f-b11c-e821037fe737', 'user_id': 'c31dae62-46df-49da-86ee-c7ead3d9b684'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7e2'), 'propoal_description': 'Customer Response Director', 'status': '1', 'created_at': datetime.datetime(2018, 11, 16, 2, 54, 43), 'updated_at': datetime.datetime(2016, 12, 2, 16, 10, 54), '__v': 0.0, 'job_id': 'd09a8c10-33d5-431c-aa47-d5234067424a', 'user_id': '4d83895b-ced0-4fcd-bd60-cb95de3cd0c6'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7e3'), 'propoal_description': 'Principal Factors Specialist', 'status': '1', 'created_at': datetime.datetime(2015, 11, 13, 10, 55, 21), 'updated_at': datetime.datetime(2018, 5, 21, 17, 21, 24), '__v': 0.0, 'job_id': '81f28281-2aed-4b63-9bdd-2d2cc6008a0a', 'user_id': '53aabbcc-ca8f-4d28-937c-c254927852ec'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7e4'), 'propoal_description': 'District Security Designer', 'status': '1', 'created_at': datetime.datetime(2011, 11, 12, 4, 40, 37), 'updated_at': datetime.datetime(2018, 8, 4, 9, 1, 53), '__v': 0.0, 'job_id': '1907aba8-8c40-4159-bbcd-82197db47de0', 'user_id': '326a4b86-a45b-4daf-8442-51927ccd760f'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7e5'), 'propoal_description': 'National Mobility Officer', 'status': '1', 'created_at': datetime.datetime(2012, 3, 27, 0, 49, 54), 'updated_at': datetime.datetime(2015, 6, 26, 12, 43, 28), '__v': 0.0, 'job_id': '9493e3e4-e041-491a-aeae-458939567a0c', 'user_id': '397e03b0-d4f2-4bc2-bebe-10427550038b'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7e6'), 'propoal_description': 'Chief Applications Analyst', 'status': '1', 'created_at': datetime.datetime(2011, 4, 23, 13, 44, 31), 'updated_at': datetime.datetime(2017, 6, 4, 22, 12, 53), '__v': 0.0, 'job_id': 'aef258cd-0b50-4868-bd40-48fbb33fa9c2', 'user_id': '1b503678-8c73-41b4-99e6-c79ed9fe56b2'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7e7'), 'propoal_description': 'Forward Interactions Coordinator', 'status': '1', 'created_at': datetime.datetime(2013, 8, 17, 9, 13, 55), 'updated_at': datetime.datetime(2016, 11, 16, 16, 17, 12), '__v': 0.0, 'job_id': '1e6c3615-05b0-450b-a05b-4fd4a3062151', 'user_id': '259cd7f7-897e-4a8f-b8e9-466ef4e80615'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7e8'), 'propoal_description': 'District Intranet Technician', 'status': '1', 'created_at': datetime.datetime(2011, 2, 14, 2, 27, 48), 'updated_at': datetime.datetime(2012, 10, 5, 7, 32, 14), '__v': 0.0, 'job_id': '57324f53-c7ef-4427-858c-329d2557f148', 'user_id': '057168cf-bb28-44fc-af9d-1457bf5a7ca2'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7e9'), 'propoal_description': 'Forward Identity Facilitator', 'status': '1', 'created_at': datetime.datetime(2012, 10, 9, 3, 56, 31), 'updated_at': datetime.datetime(2012, 1, 30, 5, 58, 22), '__v': 0.0, 'job_id': '360466bd-f30f-4d52-a9b7-b85728ec2a93', 'user_id': '0acde846-9b4d-4297-8bf8-3d135dd92626'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7ea'), 'propoal_description': 'Regional Markets Representative', 'status': '1', 'created_at': datetime.datetime(2010, 6, 24, 17, 5, 4), 'updated_at': datetime.datetime(2010, 7, 1, 0, 6, 26), '__v': 0.0, 'job_id': 'ce02de01-1610-490b-b9b3-5ab7e3654f53', 'user_id': '7232c9a3-4a7e-4b9f-a228-61ab210ed6bf'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7eb'), 'propoal_description': 'Legacy Program Facilitator', 'status': '1', 'created_at': datetime.datetime(2014, 2, 15, 20, 26, 15), 'updated_at': datetime.datetime(2010, 6, 28, 3, 51, 45), '__v': 0.0, 'job_id': '2cc2dd15-7aed-4a65-a492-ccfe7fbc9f8f', 'user_id': '0e9fdd09-d47e-4c40-9219-92ff32b83dcf'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7ec'), 'propoal_description': 'District Quality Strategist', 'status': '1', 'created_at': datetime.datetime(2018, 12, 13, 1, 18, 52), 'updated_at': datetime.datetime(2012, 9, 23, 18, 26, 53), '__v': 0.0, 'job_id': '7bfbe5aa-b790-4277-9b59-7ac9d838b2ef', 'user_id': '13d4f596-2a8d-4b9c-bafc-d6a584a230ee'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7ed'), 'propoal_description': 'National Accounts Officer', 'status': '1', 'created_at': datetime.datetime(2012, 11, 16, 12, 20, 48), 'updated_at': datetime.datetime(2019, 6, 9, 12, 18), '__v': 0.0, 'job_id': '70f35dde-741c-4295-bd8d-8ce834e73bbc', 'user_id': '6bc4f5d1-8c17-46bf-af05-df905ee2a1d3'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7ee'), 'propoal_description': 'Chief Data Director', 'status': '1', 'created_at': datetime.datetime(2015, 7, 12, 5, 40, 12), 'updated_at': datetime.datetime(2018, 10, 3, 9, 43, 48), '__v': 0.0, 'job_id': 'b81790b5-15e4-4b7e-95e7-3a5cc0925e7c', 'user_id': '696bb5bd-f181-414f-a81a-e28f03060bf7'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7ef'), 'propoal_description': 'Principal Quality Executive', 'status': '1', 'created_at': datetime.datetime(2010, 10, 14, 6, 51, 21), 'updated_at': datetime.datetime(2017, 6, 17, 4, 51, 47), '__v': 0.0, 'job_id': '5cd0b705-22a5-48b4-ac4e-94a14d469dbe', 'user_id': '48d31014-88c8-4599-9645-a21fa01f8371'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7f0'), 'propoal_description': 'Investor Program Liason', 'status': '1', 'created_at': datetime.datetime(2016, 4, 22, 16, 4, 23), 'updated_at': datetime.datetime(2011, 12, 4, 19, 1, 30), '__v': 0.0, 'job_id': '2f9bb17f-fdec-4bf1-9e11-8ddf6569f29b', 'user_id': 'f89d726c-8451-440a-93d8-58644cd563b8'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7f1'), 'propoal_description': 'Investor Quality Strategist', 'status': '1', 'created_at': datetime.datetime(2016, 12, 6, 4, 43, 17), 'updated_at': datetime.datetime(2014, 1, 27, 9, 3, 7), '__v': 0.0, 'job_id': '7f429dd4-d931-4cbc-8928-344644eaa0a5', 'user_id': '729154e5-7643-458c-bc4f-67dafaf038f5'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7f2'), 'propoal_description': 'National Quality Manager', 'status': '1', 'created_at': datetime.datetime(2011, 3, 15, 19, 35, 58), 'updated_at': datetime.datetime(2015, 6, 25, 21, 15, 35), '__v': 0.0, 'job_id': 'f2f3bd21-b113-4ec4-a741-daa55843be73', 'user_id': 'c8e63198-c5ed-4764-a32d-8a72516204c6'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7f3'), 'propoal_description': 'National Directives Representative', 'status': '1', 'created_at': datetime.datetime(2012, 1, 4, 3, 41, 27), 'updated_at': datetime.datetime(2015, 4, 14, 0, 32, 55), '__v': 0.0, 'job_id': 'b4002951-6406-4ba6-9ef7-304a8599cc66', 'user_id': '73a17ad4-f504-48a5-a3fc-b9faba2ab889'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7f4'), 'propoal_description': 'District Program Strategist', 'status': '1', 'created_at': datetime.datetime(2014, 12, 18, 0, 20, 3), 'updated_at': datetime.datetime(2016, 8, 7, 14, 14, 7), '__v': 0.0, 'job_id': '3d04bd90-f01c-4855-a99b-98cd88553054', 'user_id': 'f0155f49-b1a1-4e4b-9f00-cd54fa6e07fa'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7f5'), 'propoal_description': 'Customer Creative Strategist', 'status': '1', 'created_at': datetime.datetime(2018, 12, 18, 18, 35, 45), 'updated_at': datetime.datetime(2010, 12, 13, 0, 45, 37), '__v': 0.0, 'job_id': '04a3ae75-e9bf-40a6-8bbe-18ae98ff216a', 'user_id': '2a5a239c-bfbb-4aba-90e6-0b2b2036276c'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7f6'), 'propoal_description': 'Customer Configuration Planner', 'status': '1', 'created_at': datetime.datetime(2012, 11, 8, 13, 27, 20), 'updated_at': datetime.datetime(2019, 3, 13, 10, 55, 39), '__v': 0.0, 'job_id': '47b736ef-53c4-4deb-b9b2-d8545450b435', 'user_id': 'f2ef013d-a4b3-43ab-9b9b-a774aea14dca'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7f8'), 'propoal_description': 'Future Directives Developer', 'status': '1', 'created_at': datetime.datetime(2018, 3, 21, 14, 12), 'updated_at': datetime.datetime(2018, 6, 14, 18, 26, 28), '__v': 0.0, 'job_id': 'c3fa73cf-2ea7-4f3a-9fc1-14f5c8c62778', 'user_id': '1b6c4ac5-71a9-4118-a205-a5abb2912cc3'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7f9'), 'propoal_description': 'Direct Data Facilitator', 'status': '1', 'created_at': datetime.datetime(2019, 2, 25, 18, 32, 16), 'updated_at': datetime.datetime(2010, 5, 21, 14, 29, 5), '__v': 0.0, 'job_id': 'e1a60f1b-3ae5-4f28-aa64-c515bdfb30b1', 'user_id': '83a38374-4262-4a0a-a05c-353d2c6c6a75'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7fa'), 'propoal_description': 'Direct Infrastructure Director', 'status': '1', 'created_at': datetime.datetime(2011, 8, 20, 7, 44, 54), 'updated_at': datetime.datetime(2015, 3, 31, 13, 39, 59), '__v': 0.0, 'job_id': '2e0c36fd-dccc-449a-bfd9-9172a2f55cbe', 'user_id': '8faa704f-c7aa-43f9-a3c6-8bcc483d1120'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7fb'), 'propoal_description': 'National Configuration Liason', 'status': '1', 'created_at': datetime.datetime(2010, 9, 27, 1, 25, 31), 'updated_at': datetime.datetime(2016, 11, 21, 13, 55, 14), '__v': 0.0, 'job_id': '8fc3eef7-8316-4e40-b2af-1a9548db05a9', 'user_id': '84d1f62c-4ebf-4d21-b98a-db8780100689'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7fc'), 'propoal_description': 'District Factors Agent', 'status': '1', 'created_at': datetime.datetime(2011, 4, 20, 20, 40, 30), 'updated_at': datetime.datetime(2011, 1, 26, 23, 26, 49), '__v': 0.0, 'job_id': 'b0b234a6-b0c0-4561-88ff-ec6aeaed31ef', 'user_id': '29a5d92b-7768-4daa-bfed-4dc65e0565e6'}
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{'_id': ObjectId('5e54146d9da33c5135b3d7fd'), 'propoal_description': 'Product Optimization Representative', 'status': '1', 'created_at': datetime.datetime(2014, 7, 10, 19, 7, 41), 'updated_at': datetime.datetime(2014, 2, 27, 7, 41, 13), '__v': 0.0, 'job_id': '36ed8ee7-1cc4-49e3-9099-6ff8e4e72e4d', 'user_id': 'c3c57ef1-6e4e-4cd7-9193-58a011487409'}
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{'_id': ObjectId('5e54146d9da33c5135b3d801'), 'propoal_description': 'Global Security Executive', 'status': '1', 'created_at': datetime.datetime(2013, 3, 28, 13, 39, 24), 'updated_at': datetime.datetime(2014, 5, 6, 6, 9, 53), '__v': 0.0, 'job_id': 'c061e478-4bbf-44f0-aceb-0974227a3e7f', 'user_id': 'abf19896-ea47-4824-9362-3c365463a99a'}
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{'_id': ObjectId('5e54146d9da33c5135b3d802'), 'propoal_description': 'International Communications Associate', 'status': '1', 'created_at': datetime.datetime(2015, 11, 12, 22, 15, 40), 'updated_at': datetime.datetime(2010, 12, 29, 2, 1, 55), '__v': 0.0, 'job_id': '701c0b92-9bfc-4ca3-92d6-55a2804e973e', 'user_id': '39d6a3ae-ccdb-4b85-b87e-7b0fb8ecdac5'}
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{'_id': ObjectId('5e54146d9da33c5135b3d806'), 'propoal_description': 'Future Research Orchestrator', 'status': '1', 'created_at': datetime.datetime(2010, 12, 27, 14, 14, 47), 'updated_at': datetime.datetime(2011, 6, 5, 8, 0, 28), '__v': 0.0, 'job_id': 'c17c353e-0468-4b7b-8ca5-df4f7b2cc5c0', 'user_id': '473e039f-97da-4ecc-861c-316ccdc84527'}
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{'_id': ObjectId('5e54146d9da33c5135b3d809'), 'propoal_description': 'Direct Tactics Orchestrator', 'status': '1', 'created_at': datetime.datetime(2012, 7, 21, 7, 42, 33), 'updated_at': datetime.datetime(2011, 8, 12, 12, 56, 41), '__v': 0.0, 'job_id': '7cdfb7dc-c393-445e-92e5-351dce58803d', 'user_id': 'ee78c538-ae18-499d-9d07-4f677510ef1c'}
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{'_id': ObjectId('5e54146d9da33c5135b3d89d'), 'propoal_description': 'Central Assurance Orchestrator', 'status': '1', 'created_at': datetime.datetime(2013, 4, 12, 1, 56, 41), 'updated_at': datetime.datetime(2018, 5, 31, 10, 47, 40), '__v': 0.0, 'job_id': '87de53cc-3ebe-4e49-b76e-3daa7cf607c4', 'user_id': '624cdce0-4c27-4232-8fe3-af43071a6dfc'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d89e'), 'propoal_description': 'Internal Markets Representative', 'status': '1', 'created_at': datetime.datetime(2018, 3, 13, 13, 58, 48), 'updated_at': datetime.datetime(2013, 6, 23, 4, 10, 12), '__v': 0.0, 'job_id': 'facdc14e-a294-426c-9d63-82c82baae856', 'user_id': '30e0cb23-9417-4c90-bb07-c4dbb1234493'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d89f'), 'propoal_description': 'Dynamic Integration Analyst', 'status': '1', 'created_at': datetime.datetime(2011, 7, 13, 10, 5, 36), 'updated_at': datetime.datetime(2013, 6, 24, 14, 41, 14), '__v': 0.0, 'job_id': '695fc753-c591-4e69-861d-f41a31d95374', 'user_id': 'b4b41de5-2839-451c-b7fa-d6185c2b6b35'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8a0'), 'propoal_description': 'National Communications Assistant', 'status': '1', 'created_at': datetime.datetime(2018, 1, 11, 18, 17, 2), 'updated_at': datetime.datetime(2010, 8, 22, 4, 39, 52), '__v': 0.0, 'job_id': '03ffbd34-89f6-4150-bfa7-f8bcc4ce189a', 'user_id': '7a3d37ae-f82f-40ae-81f9-14b5e090dfea'}
<class 'dict'>
df_JP = DataFrame(list(job_db.JobProposal.find( {} )))
print(df_JP)
_id job_id \
0 5e513aa59da33c513594a5ef ca68deb6-f929-4c2d-9865-5e6158402399
1 5e513aa59da33c513594a5f0 ae080092-80bb-4c23-ab13-28c33fec3bf5
2 5e513aa59da33c513594a5f1 fd6f5985-4d5c-4ca0-878a-825d87e632e6
3 5e513aa59da33c513594a5f2 53149bd7-f99e-4684-8d4f-539dd75da7a8
4 5e513aa59da33c513594a5f3 3b344aa3-5a71-4740-8c5a-c2db95beaf2e
.. ... ...
995 5e513aa59da33c513594a9d2 1e73764f-1a3a-49a1-940b-d2be268fae21
996 5e513aa59da33c513594a9d3 9e02e0b2-fcc1-4545-8165-bf014956a91c
997 5e513aa59da33c513594a9d4 a6e950d0-8b07-435e-9aaf-a9074ebc076c
998 5e513aa59da33c513594a9d5 30197632-0432-4db5-9b15-3a5f9e66a698
999 5e513aa59da33c513594a9d6 cd84c174-9820-45b2-9f28-d5ee9acb5539
user_id propoal_description \
0 7b8dd57c-d455-4c42-a132-dcee07b59686 Dynamic Creative Facilitator
1 25fe0c63-e981-4de7-961f-94c302918585 Regional Security Analyst
2 90e9ab14-82a0-4a8a-9df2-2a3800cf6793 Internal Marketing Supervisor
3 ff15742f-3328-4b33-a86d-300959b6d36c Central Usability Director
4 5554bb15-bbb7-4c80-a7ce-20e6e56c65c2 Forward Intranet Analyst
.. ... ...
995 fcc73885-2918-499f-9900-fb1bf5a6d2c8 Legacy Directives Supervisor
996 a8fbd44a-4a7c-43cd-b76f-9e0396aa0487 Investor Functionality Consultant
997 500b85d8-62ed-45c8-a91a-5780d48486a9 Internal Optimization Liason
998 dcd2442b-f860-4151-b709-4d1ca30db384 Future Brand Representative
999 a9303858-55cd-4681-87aa-5bc1966a8451 Dynamic Directives Assistant
status created_at updated_at __v
0 1 2019-09-25 19:59:08 2017-02-08 11:15:30 0.0
1 1 2015-08-18 07:47:56 2017-01-11 10:27:06 0.0
2 1 2017-11-10 18:17:46 2016-06-10 23:17:50 0.0
3 1 2014-06-12 16:44:02 2011-12-02 16:51:06 0.0
4 1 2016-11-18 04:43:25 2011-02-20 09:02:14 0.0
.. ... ... ... ...
995 1 2017-06-08 09:28:04 2012-03-19 15:26:57 0.0
996 1 2016-11-16 20:18:52 2014-03-30 10:49:03 0.0
997 1 2019-06-30 00:58:26 2016-09-20 02:44:04 0.0
998 1 2018-12-24 04:35:41 2011-05-09 14:58:03 0.0
999 1 2010-08-31 19:08:29 2012-01-24 18:05:35 0.0
[1000 rows x 8 columns]
print(df_JP.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 1000 entries, 0 to 999 Data columns (total 8 columns): _id 1000 non-null object propoal_description 1000 non-null object status 1000 non-null object created_at 1000 non-null datetime64[ns] updated_at 1000 non-null datetime64[ns] __v 1000 non-null float64 job_id 1000 non-null object user_id 1000 non-null object dtypes: datetime64[ns](2), float64(1), object(5) memory usage: 62.6+ KB None
myCursor3 = job_db.JobSkills.find( {} )
print(myCursor3)
<pymongo.cursor.Cursor object at 0x00000291CA0E22C8>
job_db.JobSkills.count_documents({})
100
for document in myCursor3:
print(document)
print(type(document))
{'_id': ObjectId('5e54146d9da33c5135b3dc8f'), 'skill_id': '9105b57b-443d-4e2e-a035-a5004cb59b78', 'job_id': 'a847af9c-2cda-417e-b209-d465d1d78105', 'rate': 2, 'created_at': datetime.datetime(2011, 10, 18, 5, 42, 55), 'updated_at': datetime.datetime(2011, 2, 25, 18, 54, 47), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc90'), 'skill_id': '8fd9fd5e-945b-4879-8657-c951293d1d8b', 'job_id': '35508680-517b-4d04-a1fd-b71c96930b7f', 'rate': 5, 'created_at': datetime.datetime(2011, 6, 20, 12, 43, 14), 'updated_at': datetime.datetime(2017, 5, 11, 16, 6, 17), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc91'), 'skill_id': '6e01f13f-7880-4b61-8cd9-4fd7c76ca06a', 'job_id': '0c80f08e-d658-426b-a12b-97cfd24fab06', 'rate': 5, 'created_at': datetime.datetime(2016, 2, 21, 6, 33, 14), 'updated_at': datetime.datetime(2017, 6, 8, 0, 43, 12), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc92'), 'skill_id': 'd2c053c2-b29e-4145-bdeb-7f2530da33c4', 'job_id': 'd2201dc2-cafb-46ba-972a-f3f3860e7a56', 'rate': 4, 'created_at': datetime.datetime(2018, 1, 10, 18, 40, 44), 'updated_at': datetime.datetime(2012, 3, 16, 13, 8, 2), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc93'), 'skill_id': '2203fb5a-b8d2-4efc-855e-ddde0a699da6', 'job_id': '8490fe5a-1096-421d-8fe2-0c054163a1e8', 'rate': 1, 'created_at': datetime.datetime(2010, 11, 28, 13, 21, 59), 'updated_at': datetime.datetime(2019, 5, 11, 5, 5, 19), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc94'), 'skill_id': '8962c71c-ad15-400e-b219-e9b8c9d13388', 'job_id': 'a776d94c-e4f0-4048-b7ea-304d0a13013e', 'rate': 1, 'created_at': datetime.datetime(2013, 5, 15, 9, 50, 27), 'updated_at': datetime.datetime(2018, 1, 4, 4, 13, 50), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc95'), 'skill_id': 'b5b0c14d-31a2-4aca-b2aa-8c0d2003f009', 'job_id': '6e55aedb-45ef-4886-a9f0-e81510698429', 'rate': 1, 'created_at': datetime.datetime(2019, 1, 1, 15, 2, 1), 'updated_at': datetime.datetime(2018, 3, 15, 3, 24, 8), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc96'), 'skill_id': '816aa01b-c80d-4112-8ebd-041d0c81cbb6', 'job_id': '3747cc8b-1b6c-460b-a323-322db30fb21a', 'rate': 1, 'created_at': datetime.datetime(2016, 10, 7, 14, 49, 44), 'updated_at': datetime.datetime(2018, 2, 15, 20, 48, 19), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc97'), 'skill_id': 'aa525a89-8c0b-4330-af16-a3958fe7475f', 'job_id': 'd04c35f7-bd51-4eea-9544-fe0a2c3e52fd', 'rate': 5, 'created_at': datetime.datetime(2018, 2, 15, 17, 34, 29), 'updated_at': datetime.datetime(2014, 9, 6, 23, 44, 16), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc98'), 'skill_id': 'da57f6ec-4f6a-4662-80b7-a18beebafe13', 'job_id': '0dec7861-bc49-4186-b508-2722eef19b78', 'rate': 1, 'created_at': datetime.datetime(2016, 4, 27, 19, 46, 25), 'updated_at': datetime.datetime(2018, 5, 24, 19, 20, 22), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc99'), 'skill_id': '9d3b8694-801c-46f6-9fbb-16eb0f3af370', 'job_id': 'e086b7f1-a321-4816-a105-909dab860b07', 'rate': 4, 'created_at': datetime.datetime(2013, 5, 2, 15, 0, 6), 'updated_at': datetime.datetime(2012, 9, 23, 17, 12, 54), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc9a'), 'skill_id': '3e0d68d2-f544-496c-811d-698cf6d1fa3a', 'job_id': 'fdb98628-322c-48aa-9a2c-e85f71eb9cab', 'rate': 1, 'created_at': datetime.datetime(2011, 8, 14, 20, 37, 57), 'updated_at': datetime.datetime(2018, 4, 9, 1, 33, 20), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc9b'), 'skill_id': '85a7b0dc-afbb-4ded-a6f4-76cbae32a679', 'job_id': '61268b85-6d96-4f38-a33d-fd43bc596be6', 'rate': 2, 'created_at': datetime.datetime(2018, 7, 5, 2, 39, 55), 'updated_at': datetime.datetime(2011, 1, 19, 23, 32, 2), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc9c'), 'skill_id': 'abd94b87-17d6-475e-a4ac-c72470e8610c', 'job_id': '9da00376-a41a-4209-b5d3-5844ae931783', 'rate': 4, 'created_at': datetime.datetime(2019, 6, 13, 18, 35, 48), 'updated_at': datetime.datetime(2018, 3, 7, 1, 53, 16), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc9d'), 'skill_id': 'b0379bb0-d71f-470f-842a-cca9ade3c082', 'job_id': 'b239dcd1-1fb9-44c6-ab0c-799c200cceb2', 'rate': 3, 'created_at': datetime.datetime(2018, 3, 24, 10, 26, 31), 'updated_at': datetime.datetime(2014, 11, 14, 3, 42, 46), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc9e'), 'skill_id': 'a7dc08ea-d7fb-4925-ab1d-e8e9c464b6bb', 'job_id': '618838e8-290a-4499-bb75-0b407ddad714', 'rate': 2, 'created_at': datetime.datetime(2018, 1, 19, 10, 58, 41), 'updated_at': datetime.datetime(2015, 8, 19, 23, 30, 30), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc9f'), 'skill_id': '5a8ee43f-21c9-4ffe-9625-b5d2c991ea7f', 'job_id': 'c9d13140-9440-47c8-b69f-b246854a2160', 'rate': 3, 'created_at': datetime.datetime(2013, 9, 10, 15, 25, 32), 'updated_at': datetime.datetime(2017, 8, 8, 10, 30, 28), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dca0'), 'skill_id': 'f69720de-0044-4011-9c3c-dbcb2d37170f', 'job_id': '3d77cf90-554a-445a-94a3-387178e651f1', 'rate': 2, 'created_at': datetime.datetime(2013, 5, 7, 22, 15, 52), 'updated_at': datetime.datetime(2013, 10, 1, 21, 19, 25), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dca1'), 'skill_id': '05d424b9-5396-4915-a25b-da0fee9eda34', 'job_id': '2c979d89-50d3-4d53-9307-6c82d3dd870e', 'rate': 1, 'created_at': datetime.datetime(2017, 12, 4, 3, 33, 51), 'updated_at': datetime.datetime(2010, 7, 4, 18, 28, 27), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dca2'), 'skill_id': '850a59a6-86d9-4d92-a6b9-b7444b81c196', 'job_id': '229d8d9a-e956-42e0-ae0e-69a8f75d9d6d', 'rate': 1, 'created_at': datetime.datetime(2018, 4, 14, 15, 22, 34), 'updated_at': datetime.datetime(2019, 1, 26, 12, 17, 14), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dca3'), 'skill_id': '660d4d81-1204-4664-8f39-9a032863cfdb', 'job_id': '3a2c48ef-cc87-4fe9-8110-b187884e1b7c', 'rate': 2, 'created_at': datetime.datetime(2013, 6, 14, 23, 8, 18), 'updated_at': datetime.datetime(2010, 12, 16, 21, 51, 40), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dca4'), 'skill_id': '4e15c9b8-5aec-4bb5-b453-8bdabbf54691', 'job_id': '73ee35ec-4747-4086-a52d-72ffab069cd6', 'rate': 4, 'created_at': datetime.datetime(2010, 11, 13, 9, 52, 31), 'updated_at': datetime.datetime(2010, 6, 17, 12, 20, 5), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dca5'), 'skill_id': 'd5c99096-ea37-4a39-8c8d-1f231cab2a59', 'job_id': 'f09bdd20-cdf1-438c-9c67-81cf9f0adfb6', 'rate': 1, 'created_at': datetime.datetime(2014, 8, 14, 12, 13, 47), 'updated_at': datetime.datetime(2016, 8, 10, 21, 17, 54), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dca6'), 'skill_id': 'd75f06aa-68ac-4548-82ce-4f1e82f96b8d', 'job_id': '9599e567-691f-42f7-80f0-8ba6cb7b58e0', 'rate': 2, 'created_at': datetime.datetime(2018, 5, 8, 16, 28, 39), 'updated_at': datetime.datetime(2011, 12, 22, 15, 43, 30), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dca7'), 'skill_id': '8ac8040d-161d-46fc-8694-b1d822efdbab', 'job_id': 'c968e50e-c7fd-4865-a510-9ae94dc596ea', 'rate': 1, 'created_at': datetime.datetime(2016, 10, 18, 22, 50, 4), 'updated_at': datetime.datetime(2015, 4, 5, 13, 30, 47), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dca8'), 'skill_id': 'a82fa206-c113-42de-bddd-e5acd11a000c', 'job_id': 'de948618-7e1e-4bd9-acaf-4214e6f5897d', 'rate': 4, 'created_at': datetime.datetime(2016, 10, 12, 20, 41, 30), 'updated_at': datetime.datetime(2012, 7, 21, 4, 35, 27), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dca9'), 'skill_id': '3239b7de-5877-4ef3-908a-04501a56e960', 'job_id': '6c7d9a77-bbaa-4dac-b129-c292ebd4f53a', 'rate': 2, 'created_at': datetime.datetime(2015, 1, 28, 23, 25, 52), 'updated_at': datetime.datetime(2010, 6, 28, 1, 55, 15), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcaa'), 'skill_id': '360b8daa-2cc6-434c-8238-e0da1f490143', 'job_id': 'daba470e-5387-45e4-a0f4-9d36475e4759', 'rate': 4, 'created_at': datetime.datetime(2013, 11, 19, 11, 59, 47), 'updated_at': datetime.datetime(2010, 4, 17, 12, 7, 42), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcab'), 'skill_id': 'df2e3d8f-e4a9-4d70-83c3-c73750e65409', 'job_id': '29f4689c-3aa9-497a-9c34-3dd7be02f716', 'rate': 4, 'created_at': datetime.datetime(2017, 5, 26, 17, 46, 42), 'updated_at': datetime.datetime(2014, 12, 31, 22, 36, 9), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcac'), 'skill_id': 'a50bb9c0-c56c-4ce1-95d0-1839423c9bc8', 'job_id': 'bd7f8ba0-2f90-4e7c-b810-5fd4ac1427c9', 'rate': 3, 'created_at': datetime.datetime(2019, 3, 27, 15, 18, 51), 'updated_at': datetime.datetime(2014, 3, 25, 21, 8, 49), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcad'), 'skill_id': 'de8d32ac-bfd9-4039-b9a5-f1f6ca9a1a13', 'job_id': 'b74fd9f0-76c9-4f29-9c66-7f0304d5db19', 'rate': 3, 'created_at': datetime.datetime(2018, 2, 13, 14, 16), 'updated_at': datetime.datetime(2013, 5, 27, 1, 22, 46), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcae'), 'skill_id': '8ad09200-d3e9-487a-9a5e-369009bfdca2', 'job_id': '51adc56e-240b-46a7-9b39-0d6b04634fb5', 'rate': 3, 'created_at': datetime.datetime(2013, 3, 12, 7, 17, 22), 'updated_at': datetime.datetime(2017, 5, 27, 17, 32, 2), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcaf'), 'skill_id': '1c1ff47d-417a-4b8c-9d0c-9ccea9392d93', 'job_id': 'cfd7b7d3-bd1d-4ada-840c-e595f3fbd649', 'rate': 2, 'created_at': datetime.datetime(2016, 1, 10, 12, 33, 48), 'updated_at': datetime.datetime(2010, 2, 1, 19, 54, 57), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcb0'), 'skill_id': '10254606-8215-48c7-bfb7-859b03a41847', 'job_id': '961a55f6-9a6d-42a9-a568-81cb46821c11', 'rate': 1, 'created_at': datetime.datetime(2015, 3, 26, 9, 12, 33), 'updated_at': datetime.datetime(2013, 9, 19, 17, 11, 59), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcb1'), 'skill_id': 'f4d07648-a8ad-427a-bf20-94acfd7a5e88', 'job_id': '41c7309b-3824-4f87-861f-9a15d256035f', 'rate': 5, 'created_at': datetime.datetime(2015, 1, 21, 10, 43, 39), 'updated_at': datetime.datetime(2015, 5, 2, 20, 47, 10), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcb2'), 'skill_id': 'b7260e5d-ddab-4e38-b4be-f292b65dca0f', 'job_id': 'd97c0a72-5634-44c0-ab14-ea0456b49632', 'rate': 5, 'created_at': datetime.datetime(2012, 2, 16, 10, 8, 38), 'updated_at': datetime.datetime(2015, 4, 3, 1, 35, 20), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcb3'), 'skill_id': '61e5b7bd-8230-4162-865a-72e12a6926d3', 'job_id': '3f96ecd0-c844-45ba-9a36-44027e073502', 'rate': 2, 'created_at': datetime.datetime(2019, 6, 29, 16, 25, 37), 'updated_at': datetime.datetime(2019, 10, 31, 7, 24, 41), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcb4'), 'skill_id': 'da5c5449-dfef-4e66-b273-1b4061c30eb4', 'job_id': '911d3641-a482-4c71-ad7d-9267b3cf79e3', 'rate': 4, 'created_at': datetime.datetime(2013, 9, 24, 18, 28, 30), 'updated_at': datetime.datetime(2016, 10, 17, 21, 27, 38), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcb5'), 'skill_id': '6ff1c04a-b789-44d3-8db1-f384800522f0', 'job_id': 'cbf4007a-bc68-4d10-b2bd-b1c3cd9e0024', 'rate': 3, 'created_at': datetime.datetime(2019, 8, 12, 8, 40, 32), 'updated_at': datetime.datetime(2012, 9, 24, 22, 28, 16), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcb6'), 'skill_id': '20fdcbd1-4a5a-49ed-b09a-bc5e2f4cb904', 'job_id': '1f970813-a95c-4797-8831-d2e79a306b85', 'rate': 5, 'created_at': datetime.datetime(2016, 5, 27, 23, 32, 45), 'updated_at': datetime.datetime(2014, 10, 2, 2, 5, 4), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcb7'), 'skill_id': 'e7a44f09-a278-4991-b167-18b3ade3778a', 'job_id': '0a145505-2c63-4fe5-86fb-1aa1938f7e0d', 'rate': 4, 'created_at': datetime.datetime(2013, 7, 9, 22, 14, 10), 'updated_at': datetime.datetime(2010, 6, 22, 21, 37, 51), '__v': 0.0}
<class 'dict'>
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{'_id': ObjectId('5e54146d9da33c5135b3dcec'), 'skill_id': '31f272b4-7762-403b-8393-20cc7f9d1c78', 'job_id': '1d8cb185-8992-4290-9c41-3a1cc6848cc7', 'rate': 2, 'created_at': datetime.datetime(2016, 12, 25, 21, 57, 14), 'updated_at': datetime.datetime(2010, 7, 29, 6, 0, 22), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dced'), 'skill_id': '720a7eb7-93d2-4bf8-bd25-9f645d74522c', 'job_id': '83333383-b9ce-432f-ad74-4f2232183593', 'rate': 4, 'created_at': datetime.datetime(2017, 11, 14, 5, 56, 54), 'updated_at': datetime.datetime(2016, 7, 14, 8, 27, 56), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcee'), 'skill_id': '7bb97c01-39de-4feb-8c27-63e2d19e56e0', 'job_id': 'a9e66888-71b5-424d-ae18-fa90baf4b708', 'rate': 4, 'created_at': datetime.datetime(2014, 1, 5, 8, 40, 42), 'updated_at': datetime.datetime(2019, 9, 15, 20, 4, 48), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcef'), 'skill_id': 'f7e47ad5-12d0-44a2-aeb2-c1fbd6115147', 'job_id': '21daf470-1770-4da4-a09f-c3e2f561b7fe', 'rate': 5, 'created_at': datetime.datetime(2012, 6, 24, 1, 27, 9), 'updated_at': datetime.datetime(2013, 2, 3, 4, 48, 59), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcf0'), 'skill_id': '2108310e-e76f-4c58-b15f-220f77eb63bb', 'job_id': 'c1cf9c17-3275-4dad-978a-5c112bf5f6a2', 'rate': 5, 'created_at': datetime.datetime(2017, 9, 14, 5, 35, 1), 'updated_at': datetime.datetime(2011, 3, 14, 4, 14, 59), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcf1'), 'skill_id': 'abbeb8a4-bca9-4ca4-9a89-07afcacda953', 'job_id': '98d9fa0f-f9a1-4ef0-9e91-d013afb0ba04', 'rate': 3, 'created_at': datetime.datetime(2019, 8, 8, 19, 9, 55), 'updated_at': datetime.datetime(2010, 5, 28, 19, 27, 36), '__v': 0.0}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dcf2'), 'skill_id': 'ee11ba73-d4bc-4626-95de-bc28c53cdfe3', 'job_id': '23c7f118-03f6-4b77-b20b-a97d36da21d2', 'rate': 5, 'created_at': datetime.datetime(2013, 3, 23, 11, 43, 29), 'updated_at': datetime.datetime(2016, 6, 20, 16, 9, 39), '__v': 0.0}
<class 'dict'>
df_JS= DataFrame(list(job_db.JobSkills.find( {} )))
print(df_JS)
_id skill_id \
0 5e54146d9da33c5135b3dc8f 9105b57b-443d-4e2e-a035-a5004cb59b78
1 5e54146d9da33c5135b3dc90 8fd9fd5e-945b-4879-8657-c951293d1d8b
2 5e54146d9da33c5135b3dc91 6e01f13f-7880-4b61-8cd9-4fd7c76ca06a
3 5e54146d9da33c5135b3dc92 d2c053c2-b29e-4145-bdeb-7f2530da33c4
4 5e54146d9da33c5135b3dc93 2203fb5a-b8d2-4efc-855e-ddde0a699da6
.. ... ...
95 5e54146d9da33c5135b3dcee 7bb97c01-39de-4feb-8c27-63e2d19e56e0
96 5e54146d9da33c5135b3dcef f7e47ad5-12d0-44a2-aeb2-c1fbd6115147
97 5e54146d9da33c5135b3dcf0 2108310e-e76f-4c58-b15f-220f77eb63bb
98 5e54146d9da33c5135b3dcf1 abbeb8a4-bca9-4ca4-9a89-07afcacda953
99 5e54146d9da33c5135b3dcf2 ee11ba73-d4bc-4626-95de-bc28c53cdfe3
job_id rate created_at \
0 a847af9c-2cda-417e-b209-d465d1d78105 2 2011-10-18 05:42:55
1 35508680-517b-4d04-a1fd-b71c96930b7f 5 2011-06-20 12:43:14
2 0c80f08e-d658-426b-a12b-97cfd24fab06 5 2016-02-21 06:33:14
3 d2201dc2-cafb-46ba-972a-f3f3860e7a56 4 2018-01-10 18:40:44
4 8490fe5a-1096-421d-8fe2-0c054163a1e8 1 2010-11-28 13:21:59
.. ... ... ...
95 a9e66888-71b5-424d-ae18-fa90baf4b708 4 2014-01-05 08:40:42
96 21daf470-1770-4da4-a09f-c3e2f561b7fe 5 2012-06-24 01:27:09
97 c1cf9c17-3275-4dad-978a-5c112bf5f6a2 5 2017-09-14 05:35:01
98 98d9fa0f-f9a1-4ef0-9e91-d013afb0ba04 3 2019-08-08 19:09:55
99 23c7f118-03f6-4b77-b20b-a97d36da21d2 5 2013-03-23 11:43:29
updated_at __v
0 2011-02-25 18:54:47 0.0
1 2017-05-11 16:06:17 0.0
2 2017-06-08 00:43:12 0.0
3 2012-03-16 13:08:02 0.0
4 2019-05-11 05:05:19 0.0
.. ... ...
95 2019-09-15 20:04:48 0.0
96 2013-02-03 04:48:59 0.0
97 2011-03-14 04:14:59 0.0
98 2010-05-28 19:27:36 0.0
99 2016-06-20 16:09:39 0.0
[100 rows x 7 columns]
print(df_JS.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 100 entries, 0 to 99 Data columns (total 7 columns): _id 100 non-null object skill_id 100 non-null object job_id 100 non-null object rate 100 non-null int64 created_at 100 non-null datetime64[ns] updated_at 100 non-null datetime64[ns] __v 100 non-null float64 dtypes: datetime64[ns](2), float64(1), int64(1), object(3) memory usage: 5.6+ KB None
myCursor4 = job_db.PostJob.find( {} )
print(myCursor4)
<pymongo.cursor.Cursor object at 0x00000291C9FC8B48>
job_db.PostJob.count_documents({})
10000
for document in myCursor4:
print(document)
print(type(document))
{'_id': 'a847af9c-2cda-417e-b209-d465d1d78105', 'job_description': 'Total systemic leverage', 'start_date': datetime.datetime(2019, 4, 11, 11, 15, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 27, 14, 47, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 26, 16, 39, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ffdb9dcb-a21d-41e9-8ec9-8cb6fa423674', 'end_date': datetime.datetime(2018, 7, 14, 3, 50, 29), 'start_time': datetime.datetime(2012, 2, 25, 23, 46, 4), 'rate': 4, 'updated_at': datetime.datetime(2011, 9, 30, 12, 25, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35508680-517b-4d04-a1fd-b71c96930b7f', 'job_description': 'Total actuating service-desk', 'start_date': datetime.datetime(2018, 4, 27, 23, 49, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 15, 11, 41, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 2, 19, 52, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2c18e856-fe97-40dd-aa3c-9dd36e3dea8c', 'end_date': datetime.datetime(2012, 4, 30, 22, 22, 7), 'start_time': datetime.datetime(2011, 5, 2, 11, 45, 7), 'rate': 2, 'updated_at': datetime.datetime(2010, 6, 2, 1, 22, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0c80f08e-d658-426b-a12b-97cfd24fab06', 'job_description': 'Customer-focused scalable concept', 'start_date': datetime.datetime(2018, 12, 6, 4, 30, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 25, 11, 26, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 23, 5, 28, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af6484a1-44e8-4c76-bc7a-4589c3c56b2c', 'end_date': datetime.datetime(2013, 8, 1, 20, 43, 45), 'start_time': datetime.datetime(2015, 9, 11, 0, 44, 35), 'rate': 1, 'updated_at': datetime.datetime(2012, 1, 7, 5, 21, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd2201dc2-cafb-46ba-972a-f3f3860e7a56', 'job_description': 'Pre-emptive next generation time-frame', 'start_date': datetime.datetime(2013, 7, 9, 6, 17, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 27, 21, 43, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 4, 0, 54, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '68b3b386-fb77-463c-9de8-ab0115817909', 'end_date': datetime.datetime(2015, 12, 10, 16, 39, 50), 'start_time': datetime.datetime(2016, 12, 15, 22, 11, 9), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 1, 12, 1, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8490fe5a-1096-421d-8fe2-0c054163a1e8', 'job_description': 'Virtual methodical service-desk', 'start_date': datetime.datetime(2016, 6, 17, 5, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 22, 16, 21, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 31, 14, 51, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '16762dac-b04b-4067-a54b-8aeb977cde96', 'end_date': datetime.datetime(2014, 8, 21, 4, 14, 43), 'start_time': datetime.datetime(2011, 4, 3, 22, 54, 57), 'rate': 3, 'updated_at': datetime.datetime(2014, 2, 5, 17, 59, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a776d94c-e4f0-4048-b7ea-304d0a13013e', 'job_description': 'Open-source scalable hierarchy', 'start_date': datetime.datetime(2010, 7, 27, 20, 22, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 27, 20, 53, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 14, 11, 21, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fd620ce8-760e-49d6-957c-4f2583a8b4b2', 'end_date': datetime.datetime(2017, 7, 26, 13, 56, 22), 'start_time': datetime.datetime(2018, 11, 3, 2, 7, 12), 'rate': 2, 'updated_at': datetime.datetime(2011, 5, 24, 2, 34, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e55aedb-45ef-4886-a9f0-e81510698429', 'job_description': 'Right-sized web-enabled process improvement', 'start_date': datetime.datetime(2010, 9, 11, 0, 56, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 27, 15, 46, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 19, 18, 16, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9b1bef77-cbd0-4814-b824-3bab11e003aa', 'end_date': datetime.datetime(2016, 11, 1, 0, 0, 16), 'start_time': datetime.datetime(2012, 1, 26, 7, 35, 31), 'rate': 5, 'updated_at': datetime.datetime(2013, 11, 18, 14, 15, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Egypt', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3747cc8b-1b6c-460b-a323-322db30fb21a', 'job_description': 'Visionary bottom-line knowledge base', 'start_date': datetime.datetime(2013, 5, 15, 16, 36, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 18, 2, 51, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 31, 15, 25, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '08fd1b5b-a4f7-469c-8695-25e5d1d9dffd', 'end_date': datetime.datetime(2012, 12, 29, 11, 48, 17), 'start_time': datetime.datetime(2016, 5, 19, 8, 26, 44), 'rate': 5, 'updated_at': datetime.datetime(2017, 4, 3, 6, 24, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd04c35f7-bd51-4eea-9544-fe0a2c3e52fd', 'job_description': 'User-centric fresh-thinking concept', 'start_date': datetime.datetime(2011, 3, 28, 11, 1, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 10, 23, 19, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 2, 17, 43, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b87c956f-a97c-4413-9163-cbafbb5f39e4', 'end_date': datetime.datetime(2010, 2, 21, 20, 2, 41), 'start_time': datetime.datetime(2010, 5, 28, 22, 27, 33), 'rate': 3, 'updated_at': datetime.datetime(2011, 3, 31, 23, 12, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0dec7861-bc49-4186-b508-2722eef19b78', 'job_description': 'Reactive composite hardware', 'start_date': datetime.datetime(2018, 4, 26, 2, 30, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 25, 12, 18, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 6, 8, 25, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6311eded-5f9e-4741-99dd-426fd70d70dd', 'end_date': datetime.datetime(2013, 8, 24, 1, 30, 16), 'start_time': datetime.datetime(2013, 7, 11, 10, 39, 53), 'rate': 2, 'updated_at': datetime.datetime(2017, 11, 25, 6, 9, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e086b7f1-a321-4816-a105-909dab860b07', 'job_description': 'Optional empowering support', 'start_date': datetime.datetime(2016, 2, 29, 1, 27, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 23, 21, 32, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 21, 18, 20, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '38895c53-df6b-4b51-9fd0-dfc4abfdd0a4', 'end_date': datetime.datetime(2019, 11, 19, 1, 41, 4), 'start_time': datetime.datetime(2011, 10, 29, 11, 7, 51), 'rate': 5, 'updated_at': datetime.datetime(2015, 12, 19, 20, 58, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fdb98628-322c-48aa-9a2c-e85f71eb9cab', 'job_description': 'Front-line methodical conglomeration', 'start_date': datetime.datetime(2016, 12, 7, 1, 49, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 22, 6, 19, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 6, 0, 49, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b421d23-c1ed-499b-ae34-82461599438b', 'end_date': datetime.datetime(2016, 8, 13, 5, 30, 20), 'start_time': datetime.datetime(2015, 3, 19, 17, 4, 30), 'rate': 3, 'updated_at': datetime.datetime(2018, 12, 6, 4, 51, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '61268b85-6d96-4f38-a33d-fd43bc596be6', 'job_description': 'Synergized optimizing encryption', 'start_date': datetime.datetime(2013, 1, 18, 0, 24, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 15, 5, 8, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 30, 22, 42, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '89b60a87-4cec-4551-8388-d8fab096dbb9', 'end_date': datetime.datetime(2018, 11, 21, 22, 53, 56), 'start_time': datetime.datetime(2018, 12, 1, 3, 22, 28), 'rate': 5, 'updated_at': datetime.datetime(2019, 7, 18, 14, 2, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9da00376-a41a-4209-b5d3-5844ae931783', 'job_description': 'Extended maximized focus group', 'start_date': datetime.datetime(2010, 4, 19, 13, 29, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 21, 8, 27, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 12, 3, 23, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd6a09794-f845-4f61-bada-51a07ef87e8b', 'end_date': datetime.datetime(2017, 10, 13, 0, 6, 50), 'start_time': datetime.datetime(2017, 1, 10, 0, 14, 52), 'rate': 5, 'updated_at': datetime.datetime(2016, 11, 9, 10, 54, 56), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b239dcd1-1fb9-44c6-ab0c-799c200cceb2', 'job_description': 'Synergized local local area network', 'start_date': datetime.datetime(2013, 1, 30, 23, 31, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 20, 10, 24, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 14, 2, 9, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c70487f-ffbb-41de-af73-29578017c2a9', 'end_date': datetime.datetime(2016, 9, 8, 6, 8, 44), 'start_time': datetime.datetime(2019, 6, 3, 1, 16, 48), 'rate': 1, 'updated_at': datetime.datetime(2014, 10, 8, 14, 52, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '618838e8-290a-4499-bb75-0b407ddad714', 'job_description': 'Function-based needs-based capacity', 'start_date': datetime.datetime(2015, 2, 9, 14, 3, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 5, 10, 39, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 20, 18, 19, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '05c61438-12e6-4192-b869-9ddf7c3b5ae0', 'end_date': datetime.datetime(2013, 3, 25, 8, 17, 16), 'start_time': datetime.datetime(2011, 3, 10, 11, 8, 31), 'rate': 2, 'updated_at': datetime.datetime(2011, 4, 28, 13, 30, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c9d13140-9440-47c8-b69f-b246854a2160', 'job_description': 'Fully-configurable background concept', 'start_date': datetime.datetime(2019, 8, 16, 21, 3, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 25, 7, 40, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 8, 14, 28, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44c924e2-d820-46da-8905-181438c00307', 'end_date': datetime.datetime(2019, 6, 24, 9, 20, 25), 'start_time': datetime.datetime(2017, 1, 15, 12, 26, 43), 'rate': 5, 'updated_at': datetime.datetime(2011, 8, 2, 21, 7, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3d77cf90-554a-445a-94a3-387178e651f1', 'job_description': 'Configurable solution-oriented moratorium', 'start_date': datetime.datetime(2010, 10, 20, 15, 5, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 24, 23, 47, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 15, 23, 2, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '87f7c950-5170-4c26-9a0e-6f7ebf1980b3', 'end_date': datetime.datetime(2014, 2, 19, 2, 21, 59), 'start_time': datetime.datetime(2012, 6, 10, 23, 35, 37), 'rate': 1, 'updated_at': datetime.datetime(2016, 12, 29, 10, 52, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2c979d89-50d3-4d53-9307-6c82d3dd870e', 'job_description': 'Managed 24/7 intranet', 'start_date': datetime.datetime(2011, 5, 15, 14, 59, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 27, 9, 38, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 28, 1, 58, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e46f116-1a56-40ff-8d8a-019ee7972171', 'end_date': datetime.datetime(2017, 10, 28, 3, 7, 32), 'start_time': datetime.datetime(2017, 10, 20, 10, 40, 3), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 13, 2, 36, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '229d8d9a-e956-42e0-ae0e-69a8f75d9d6d', 'job_description': 'Realigned intangible hierarchy', 'start_date': datetime.datetime(2016, 5, 29, 14, 54, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 9, 19, 43, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 7, 19, 54, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '13af280f-d84f-45a3-87b4-3d9abc609d77', 'end_date': datetime.datetime(2016, 7, 28, 18, 25, 18), 'start_time': datetime.datetime(2019, 8, 23, 14, 56, 10), 'rate': 5, 'updated_at': datetime.datetime(2016, 8, 6, 8, 10, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3a2c48ef-cc87-4fe9-8110-b187884e1b7c', 'job_description': 'Business-focused actuating local area network', 'start_date': datetime.datetime(2015, 4, 5, 6, 40, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 2, 6, 14, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 6, 8, 31, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d0f7bb4-c613-4f9c-831e-c4c86158fff2', 'end_date': datetime.datetime(2017, 11, 4, 22, 21, 17), 'start_time': datetime.datetime(2012, 3, 31, 9, 26, 26), 'rate': 3, 'updated_at': datetime.datetime(2016, 9, 3, 6, 58, 17), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '73ee35ec-4747-4086-a52d-72ffab069cd6', 'job_description': 'Business-focused methodical hierarchy', 'start_date': datetime.datetime(2019, 1, 2, 5, 3, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 6, 9, 12, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 17, 1, 2, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1aaedf24-ffc4-45b8-be6d-361a30a1bc72', 'end_date': datetime.datetime(2017, 8, 23, 7, 33, 3), 'start_time': datetime.datetime(2018, 7, 13, 5, 12, 48), 'rate': 5, 'updated_at': datetime.datetime(2016, 4, 17, 18, 1, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f09bdd20-cdf1-438c-9c67-81cf9f0adfb6', 'job_description': 'Up-sized solution-oriented methodology', 'start_date': datetime.datetime(2015, 5, 16, 23, 28, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 10, 14, 17, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 26, 6, 25, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dfd32332-c369-4079-821b-11791b12f362', 'end_date': datetime.datetime(2011, 8, 27, 6, 21, 55), 'start_time': datetime.datetime(2017, 7, 19, 0, 23, 40), 'rate': 4, 'updated_at': datetime.datetime(2013, 12, 10, 19, 33, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9599e567-691f-42f7-80f0-8ba6cb7b58e0', 'job_description': 'Cloned methodical intranet', 'start_date': datetime.datetime(2016, 12, 26, 3, 8, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 8, 11, 37, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 9, 0, 39, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1cadaab1-c517-47e1-a20f-b4dd6f3b60c5', 'end_date': datetime.datetime(2011, 9, 8, 22, 54, 39), 'start_time': datetime.datetime(2019, 5, 9, 18, 45, 1), 'rate': 4, 'updated_at': datetime.datetime(2016, 2, 13, 23, 40, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c968e50e-c7fd-4865-a510-9ae94dc596ea', 'job_description': 'Progressive didactic knowledge user', 'start_date': datetime.datetime(2014, 5, 1, 23, 49, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 14, 2, 28, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 29, 13, 7, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5282999-e309-4f7e-916a-b5ace7f80e42', 'end_date': datetime.datetime(2011, 2, 22, 21, 11, 50), 'start_time': datetime.datetime(2015, 6, 22, 3, 25, 54), 'rate': 1, 'updated_at': datetime.datetime(2013, 8, 23, 14, 58, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de948618-7e1e-4bd9-acaf-4214e6f5897d', 'job_description': 'Stand-alone intangible infrastructure', 'start_date': datetime.datetime(2011, 5, 25, 18, 47, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 26, 19, 19, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 30, 2, 44, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4107e0b9-b3b2-46b0-882f-906f1382cd20', 'end_date': datetime.datetime(2019, 3, 27, 10, 21, 20), 'start_time': datetime.datetime(2010, 6, 22, 10, 3, 45), 'rate': 5, 'updated_at': datetime.datetime(2017, 9, 23, 10, 3, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c7d9a77-bbaa-4dac-b129-c292ebd4f53a', 'job_description': 'Extended holistic website', 'start_date': datetime.datetime(2010, 11, 23, 21, 5, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 26, 14, 48, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 20, 3, 52, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '726a9d6f-27c7-465a-ad5a-8e00ccb9b856', 'end_date': datetime.datetime(2012, 10, 6, 6, 29, 30), 'start_time': datetime.datetime(2012, 2, 4, 22, 29, 50), 'rate': 4, 'updated_at': datetime.datetime(2019, 7, 10, 11, 58, 9), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'daba470e-5387-45e4-a0f4-9d36475e4759', 'job_description': 'Object-based upward-trending policy', 'start_date': datetime.datetime(2017, 11, 13, 19, 1, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 11, 20, 28, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 27, 22, 22, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '63e15894-4fc6-4541-ad83-9f6cc6afbe95', 'end_date': datetime.datetime(2018, 11, 28, 20, 26, 57), 'start_time': datetime.datetime(2011, 11, 28, 21, 15, 25), 'rate': 4, 'updated_at': datetime.datetime(2018, 12, 4, 2, 42, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Nauru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '29f4689c-3aa9-497a-9c34-3dd7be02f716', 'job_description': 'Versatile executive middleware', 'start_date': datetime.datetime(2017, 3, 29, 14, 29, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 7, 16, 18, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 30, 8, 25, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eeec6f85-1f14-4af1-88bd-61ffea53ad10', 'end_date': datetime.datetime(2019, 9, 19, 8, 23, 27), 'start_time': datetime.datetime(2010, 2, 14, 8, 6, 28), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 2, 18, 56, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bd7f8ba0-2f90-4e7c-b810-5fd4ac1427c9', 'job_description': 'Innovative value-added matrix', 'start_date': datetime.datetime(2018, 10, 1, 8, 0, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 17, 23, 13, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 12, 11, 59, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd28ff92c-a00b-4318-b050-7d8d201c02de', 'end_date': datetime.datetime(2019, 8, 26, 20, 54, 1), 'start_time': datetime.datetime(2017, 3, 22, 9, 34, 36), 'rate': 3, 'updated_at': datetime.datetime(2011, 3, 16, 0, 37, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b74fd9f0-76c9-4f29-9c66-7f0304d5db19', 'job_description': 'Down-sized dedicated standardization', 'start_date': datetime.datetime(2013, 4, 23, 4, 53, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 26, 17, 52, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 14, 15, 39, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '42cc4a0b-077e-44bd-b77a-5488b80f5ec8', 'end_date': datetime.datetime(2013, 7, 1, 1, 50, 51), 'start_time': datetime.datetime(2016, 6, 3, 5, 5, 50), 'rate': 2, 'updated_at': datetime.datetime(2010, 9, 18, 17, 5, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '51adc56e-240b-46a7-9b39-0d6b04634fb5', 'job_description': 'Self-enabling national software', 'start_date': datetime.datetime(2019, 9, 27, 22, 41, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 13, 0, 45, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 5, 8, 32, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '88783eb5-16db-4015-9815-9e20373192ad', 'end_date': datetime.datetime(2013, 10, 29, 14, 0, 5), 'start_time': datetime.datetime(2019, 11, 27, 14, 15, 57), 'rate': 2, 'updated_at': datetime.datetime(2013, 5, 8, 8, 50, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cfd7b7d3-bd1d-4ada-840c-e595f3fbd649', 'job_description': 'Customer-focused mobile projection', 'start_date': datetime.datetime(2019, 7, 6, 21, 32, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 27, 11, 42, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 13, 8, 12, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5275e519-a39f-4a05-b6ca-b7862690a87f', 'end_date': datetime.datetime(2017, 5, 8, 8, 41, 28), 'start_time': datetime.datetime(2011, 6, 20, 0, 21, 16), 'rate': 2, 'updated_at': datetime.datetime(2016, 11, 16, 15, 53, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Oman', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '961a55f6-9a6d-42a9-a568-81cb46821c11', 'job_description': 'Enterprise-wide client-server collaboration', 'start_date': datetime.datetime(2014, 11, 26, 22, 41, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 23, 0, 58, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 6, 7, 28, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c434fa9-28d7-4ff3-abdd-6df3c5cc6348', 'end_date': datetime.datetime(2010, 5, 1, 14, 7, 19), 'start_time': datetime.datetime(2017, 4, 13, 23, 0, 7), 'rate': 5, 'updated_at': datetime.datetime(2015, 8, 14, 16, 31, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '41c7309b-3824-4f87-861f-9a15d256035f', 'job_description': 'Inverse foreground adapter', 'start_date': datetime.datetime(2011, 4, 2, 1, 32, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 14, 1, 42, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 29, 5, 1, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9c61f24-86fd-4741-aa3c-51673e677091', 'end_date': datetime.datetime(2013, 6, 1, 16, 35, 7), 'start_time': datetime.datetime(2019, 3, 26, 6, 53, 30), 'rate': 5, 'updated_at': datetime.datetime(2018, 11, 11, 22, 25, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd97c0a72-5634-44c0-ab14-ea0456b49632', 'job_description': 'Synchronised eco-centric approach', 'start_date': datetime.datetime(2011, 7, 7, 3, 38, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 30, 5, 47, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 10, 19, 1, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a8662c2-0a94-43b4-9ae2-7c2944d1fb72', 'end_date': datetime.datetime(2010, 10, 6, 5, 31, 6), 'start_time': datetime.datetime(2012, 2, 2, 7, 50, 49), 'rate': 3, 'updated_at': datetime.datetime(2013, 2, 21, 3, 19, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3f96ecd0-c844-45ba-9a36-44027e073502', 'job_description': 'Function-based grid-enabled toolset', 'start_date': datetime.datetime(2016, 2, 4, 11, 15, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 16, 8, 43, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 22, 15, 6, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6fee34d6-c9f8-497a-b275-c900ed84e4f5', 'end_date': datetime.datetime(2011, 1, 31, 13, 9, 22), 'start_time': datetime.datetime(2018, 10, 17, 17, 0, 49), 'rate': 2, 'updated_at': datetime.datetime(2017, 4, 12, 10, 55, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Angola', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '911d3641-a482-4c71-ad7d-9267b3cf79e3', 'job_description': 'Total global customer loyalty', 'start_date': datetime.datetime(2013, 4, 6, 14, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 2, 9, 18, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 9, 11, 23, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2061c79-e156-47e1-8b4a-18b26af3f91e', 'end_date': datetime.datetime(2010, 1, 27, 7, 32, 25), 'start_time': datetime.datetime(2014, 5, 20, 20, 50, 28), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 26, 8, 41, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cbf4007a-bc68-4d10-b2bd-b1c3cd9e0024', 'job_description': 'Phased foreground framework', 'start_date': datetime.datetime(2015, 5, 29, 4, 0, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 13, 7, 7, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 1, 14, 56, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3e1b9706-ed38-4869-87f5-defc25070bcd', 'end_date': datetime.datetime(2014, 1, 28, 22, 22, 55), 'start_time': datetime.datetime(2015, 10, 19, 4, 46, 32), 'rate': 4, 'updated_at': datetime.datetime(2017, 5, 10, 15, 21, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1f970813-a95c-4797-8831-d2e79a306b85', 'job_description': 'Robust transitional adapter', 'start_date': datetime.datetime(2014, 1, 13, 9, 10, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 9, 4, 45, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 25, 6, 29, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '607bc3bb-1750-4476-a3b1-db39edef6650', 'end_date': datetime.datetime(2011, 1, 11, 8, 40, 27), 'start_time': datetime.datetime(2010, 7, 8, 8, 29, 37), 'rate': 5, 'updated_at': datetime.datetime(2015, 1, 25, 2, 59, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Russian Federation', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0a145505-2c63-4fe5-86fb-1aa1938f7e0d', 'job_description': 'Progressive content-based capability', 'start_date': datetime.datetime(2015, 6, 20, 2, 37, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 6, 3, 39, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 10, 15, 34, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d8f7752-e7eb-418a-8091-9d3ba9edd370', 'end_date': datetime.datetime(2013, 4, 6, 10, 4, 52), 'start_time': datetime.datetime(2013, 2, 24, 9, 45, 11), 'rate': 5, 'updated_at': datetime.datetime(2018, 3, 13, 20, 47, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5133d19b-e775-4638-8ed8-63d09bdba4f0', 'job_description': 'Cloned local initiative', 'start_date': datetime.datetime(2010, 10, 24, 14, 32, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 22, 5, 51, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 19, 5, 46, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a784fd4-1221-45a5-89d6-ee0666a393b3', 'end_date': datetime.datetime(2014, 7, 26, 3, 34, 57), 'start_time': datetime.datetime(2013, 4, 17, 19, 16, 55), 'rate': 4, 'updated_at': datetime.datetime(2014, 8, 19, 5, 25, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b46449d8-7891-470a-a5c9-9011e1bf63ef', 'job_description': 'Public-key regional alliance', 'start_date': datetime.datetime(2014, 7, 1, 11, 44, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 17, 10, 8, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 29, 10, 1, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a33fbc4-d168-4d0b-a332-b1628c3121a5', 'end_date': datetime.datetime(2010, 11, 3, 22, 0, 41), 'start_time': datetime.datetime(2017, 4, 23, 14, 9, 17), 'rate': 3, 'updated_at': datetime.datetime(2018, 3, 5, 0, 24, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '40a05538-a763-4f25-8c1c-b075880426ff', 'job_description': 'Assimilated assymetric Graphical User Interface', 'start_date': datetime.datetime(2016, 2, 19, 22, 26, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 15, 9, 27, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 26, 9, 13, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0e8ff592-7653-4596-adee-1b17dab32567', 'end_date': datetime.datetime(2014, 5, 18, 20, 21, 43), 'start_time': datetime.datetime(2011, 11, 7, 0, 23, 46), 'rate': 2, 'updated_at': datetime.datetime(2010, 1, 18, 23, 37, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b652d65d-1559-44fe-b3cc-44d66682aec5', 'job_description': 'Fundamental mission-critical capacity', 'start_date': datetime.datetime(2016, 1, 7, 15, 51, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 13, 6, 34, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 16, 14, 43, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a55ff0e0-13e9-4d98-adae-5b1f1430a807', 'end_date': datetime.datetime(2012, 7, 31, 6, 3, 35), 'start_time': datetime.datetime(2017, 6, 14, 10, 15, 35), 'rate': 1, 'updated_at': datetime.datetime(2012, 5, 31, 1, 52, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c22b875c-3cd5-4f67-99b5-484c7fad5b60', 'job_description': 'Digitized clear-thinking array', 'start_date': datetime.datetime(2015, 4, 5, 1, 50, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 1, 20, 18, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 10, 10, 32, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f7755bd8-c8ab-4ff9-81ab-8622059ce356', 'end_date': datetime.datetime(2010, 10, 31, 15, 2, 42), 'start_time': datetime.datetime(2010, 7, 19, 21, 54, 49), 'rate': 1, 'updated_at': datetime.datetime(2018, 8, 7, 18, 31, 27), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78c9539c-8d0a-4872-baf9-04cb80b4c4d5', 'job_description': 'Cloned coherent moderator', 'start_date': datetime.datetime(2013, 11, 24, 20, 15, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 15, 14, 27, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 28, 10, 11, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '14cd4441-bd91-4dd5-aaac-240ede0552e7', 'end_date': datetime.datetime(2012, 6, 9, 1, 44, 21), 'start_time': datetime.datetime(2014, 4, 18, 14, 33, 12), 'rate': 1, 'updated_at': datetime.datetime(2012, 4, 12, 22, 21, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ed25bd6-212f-4f64-a02e-4f14015b4895', 'job_description': 'Ergonomic object-oriented productivity', 'start_date': datetime.datetime(2012, 6, 25, 16, 34, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 1, 7, 28, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 16, 9, 16, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1b942baf-545b-45ff-9dad-3ac06ad64c22', 'end_date': datetime.datetime(2014, 8, 8, 9, 25, 53), 'start_time': datetime.datetime(2014, 6, 1, 17, 36, 31), 'rate': 5, 'updated_at': datetime.datetime(2010, 12, 10, 13, 14, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eeaa1f85-12cd-4604-b55f-c09e3d9ea18f', 'job_description': 'Fundamental bifurcated orchestration', 'start_date': datetime.datetime(2013, 8, 28, 4, 21, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 16, 13, 10, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 6, 4, 31, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c7dc6e08-9c3c-46e2-9a1f-bcfc63dcd486', 'end_date': datetime.datetime(2014, 12, 29, 13, 12, 36), 'start_time': datetime.datetime(2017, 12, 12, 8, 20, 28), 'rate': 4, 'updated_at': datetime.datetime(2010, 11, 4, 14, 11, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1b5907a6-3d9c-4235-b5a4-89f44526f2de', 'job_description': 'Grass-roots intangible concept', 'start_date': datetime.datetime(2011, 2, 28, 20, 32, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 24, 16, 27, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 28, 23, 12, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '217d9ce9-3d30-4eca-a61d-fd15d64bc844', 'end_date': datetime.datetime(2016, 10, 4, 20, 38, 57), 'start_time': datetime.datetime(2015, 7, 31, 9, 46, 28), 'rate': 2, 'updated_at': datetime.datetime(2013, 10, 28, 15, 49, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f115b7f7-2910-45de-822f-29f2def1cad1', 'job_description': 'Devolved executive process improvement', 'start_date': datetime.datetime(2019, 4, 19, 21, 27, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 2, 2, 4, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 9, 7, 17, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a0f8adae-2f19-422f-b9e5-ba09577f415b', 'end_date': datetime.datetime(2019, 5, 21, 6, 3, 49), 'start_time': datetime.datetime(2017, 3, 25, 11, 18, 16), 'rate': 5, 'updated_at': datetime.datetime(2012, 10, 22, 13, 12, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bcec13ab-8654-4972-afda-e76a4d047bca', 'job_description': 'Proactive bifurcated open architecture', 'start_date': datetime.datetime(2019, 7, 12, 13, 37, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 30, 5, 18, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 28, 3, 46, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7081377a-44b3-47ec-9171-e60e3e9730ab', 'end_date': datetime.datetime(2019, 8, 14, 7, 51, 15), 'start_time': datetime.datetime(2016, 5, 2, 10, 59, 6), 'rate': 1, 'updated_at': datetime.datetime(2012, 12, 12, 3, 7, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '578e722a-4d29-49f3-b25c-1cc6610fd1b0', 'job_description': 'Digitized exuding budgetary management', 'start_date': datetime.datetime(2013, 12, 12, 17, 0, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 17, 9, 19, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 17, 8, 49, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '527ba1e6-f4f7-49aa-bb68-13205ba1bad3', 'end_date': datetime.datetime(2012, 4, 5, 4, 2, 2), 'start_time': datetime.datetime(2016, 8, 20, 1, 45, 37), 'rate': 5, 'updated_at': datetime.datetime(2015, 1, 12, 22, 13, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0ef92c11-44d7-46e8-80e0-f9b9f37878c8', 'job_description': 'Mandatory holistic structure', 'start_date': datetime.datetime(2013, 1, 4, 14, 13, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 10, 4, 5, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 25, 11, 5, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd121a61f-17ef-4f16-b0af-985cb92554d9', 'end_date': datetime.datetime(2017, 8, 22, 12, 33, 18), 'start_time': datetime.datetime(2015, 12, 29, 15, 33, 16), 'rate': 2, 'updated_at': datetime.datetime(2014, 7, 20, 21, 41, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '451d4a8a-f672-49c0-b6c2-d01fd1b4103c', 'job_description': 'Phased reciprocal synergy', 'start_date': datetime.datetime(2015, 9, 8, 19, 57, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 7, 16, 58, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 19, 21, 57, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f09560c1-a494-4d40-b335-26f1677b84e5', 'end_date': datetime.datetime(2016, 8, 18, 10, 47, 56), 'start_time': datetime.datetime(2019, 11, 16, 14, 10, 16), 'rate': 3, 'updated_at': datetime.datetime(2014, 4, 8, 1, 31, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5a40e87-1dd8-4d91-bdab-03a1132527a8', 'job_description': 'Cloned optimizing moderator', 'start_date': datetime.datetime(2014, 4, 20, 10, 55, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 19, 4, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 26, 14, 32, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e71aa7b-6849-4133-a788-94302102e927', 'end_date': datetime.datetime(2011, 5, 23, 3, 19, 8), 'start_time': datetime.datetime(2018, 6, 14, 12, 53, 5), 'rate': 4, 'updated_at': datetime.datetime(2011, 11, 11, 3, 47, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7a7214cc-4039-4ac2-b1a9-b12da4216151', 'job_description': 'Streamlined content-based hierarchy', 'start_date': datetime.datetime(2012, 5, 10, 6, 47, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 25, 5, 30, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 15, 7, 26, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9613a583-4cf7-48f0-84d0-72de8dfdd824', 'end_date': datetime.datetime(2014, 12, 12, 10, 7, 18), 'start_time': datetime.datetime(2014, 6, 2, 2, 44, 1), 'rate': 2, 'updated_at': datetime.datetime(2013, 7, 7, 4, 22, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c10004e0-96ad-40e3-b950-b6a07f71936f', 'job_description': 'Realigned zero administration Graphic Interface', 'start_date': datetime.datetime(2011, 3, 8, 0, 59, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 17, 9, 8, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 27, 10, 13, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6e22f0b4-6ca2-47e0-86dd-85f0f7f64947', 'end_date': datetime.datetime(2019, 3, 20, 12, 25, 48), 'start_time': datetime.datetime(2019, 6, 1, 1, 4, 50), 'rate': 5, 'updated_at': datetime.datetime(2014, 3, 16, 5, 3, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c7f8de4f-9efc-4968-a55c-9b5c56ee88b3', 'job_description': 'Reverse-engineered real-time workforce', 'start_date': datetime.datetime(2010, 4, 20, 23, 15, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 23, 2, 22, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 7, 17, 5, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a54b5712-41d5-4e9d-9196-b9eb65c3d5fc', 'end_date': datetime.datetime(2013, 7, 5, 0, 59, 38), 'start_time': datetime.datetime(2013, 9, 18, 6, 31, 28), 'rate': 3, 'updated_at': datetime.datetime(2016, 2, 14, 7, 28, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Holy See (Vatican City State)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '084f8deb-dde0-4848-bfe6-bb1cca3ff32b', 'job_description': 'Networked dedicated focus group', 'start_date': datetime.datetime(2016, 9, 14, 19, 52, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 15, 3, 5, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 3, 12, 31, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77eefee5-8fa8-4afc-b02d-81786997ff0e', 'end_date': datetime.datetime(2015, 6, 15, 5, 52, 47), 'start_time': datetime.datetime(2016, 5, 3, 4, 35, 26), 'rate': 2, 'updated_at': datetime.datetime(2015, 1, 15, 20, 45, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Germany', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dfeff5cf-1ec3-4830-afd8-1392a2b54e0b', 'job_description': 'Customer-focused client-server conglomeration', 'start_date': datetime.datetime(2013, 12, 28, 2, 9, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 16, 15, 1, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 16, 14, 10, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bd51e6f3-a054-4a2b-8bfe-7e6472f2860f', 'end_date': datetime.datetime(2013, 1, 24, 8, 45), 'start_time': datetime.datetime(2012, 7, 6, 4, 37, 35), 'rate': 5, 'updated_at': datetime.datetime(2010, 12, 11, 1, 18, 29), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bb53859e-7acb-44be-8d15-f458be6488c3', 'job_description': 'Seamless uniform definition', 'start_date': datetime.datetime(2015, 6, 12, 5, 18, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 6, 10, 28, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 3, 23, 18, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4e003b3c-b99a-46b1-b091-cf854b2ed83c', 'end_date': datetime.datetime(2012, 8, 18, 23, 38, 41), 'start_time': datetime.datetime(2012, 10, 21, 13, 47, 7), 'rate': 2, 'updated_at': datetime.datetime(2016, 9, 9, 12, 42, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3f228b3f-0dfe-43a6-b8cf-320ca218b738', 'job_description': 'Exclusive global architecture', 'start_date': datetime.datetime(2015, 7, 27, 1, 5, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 30, 11, 51, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 21, 8, 16, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cd8f2b91-47ff-40cb-b9a5-6d95febebccc', 'end_date': datetime.datetime(2013, 4, 16, 11, 30, 43), 'start_time': datetime.datetime(2012, 7, 22, 15, 36, 43), 'rate': 4, 'updated_at': datetime.datetime(2010, 5, 17, 21, 27, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6df053b4-3bcf-4857-90a6-33a944684b47', 'job_description': 'Multi-channelled 3rd generation architecture', 'start_date': datetime.datetime(2017, 3, 4, 13, 32, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 28, 13, 1, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 31, 7, 28, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b3799cb7-2bff-4982-b773-09d28fd74919', 'end_date': datetime.datetime(2016, 2, 8, 19, 0, 37), 'start_time': datetime.datetime(2010, 6, 10, 7, 19, 40), 'rate': 1, 'updated_at': datetime.datetime(2017, 10, 16, 19, 28, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4c5e2095-9891-4abb-bed1-1158fde9e043', 'job_description': 'Polarised static task-force', 'start_date': datetime.datetime(2014, 10, 20, 22, 9, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 17, 9, 10, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 26, 21, 40, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '761f2776-1942-4aef-a71e-aa69bb071219', 'end_date': datetime.datetime(2016, 8, 3, 7, 16, 24), 'start_time': datetime.datetime(2017, 10, 16, 2, 9, 21), 'rate': 3, 'updated_at': datetime.datetime(2010, 10, 1, 12, 53, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Serbia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1f1a71ea-4994-47fd-8c1e-db72ba2d5f3a', 'job_description': 'Public-key leading edge hub', 'start_date': datetime.datetime(2015, 3, 30, 3, 22, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 10, 6, 24, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 14, 4, 45, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0465f387-df31-4c40-a229-16f06f48d30a', 'end_date': datetime.datetime(2019, 2, 24, 9, 44, 11), 'start_time': datetime.datetime(2019, 6, 20, 23, 42, 33), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 10, 3, 12, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '28fe7dd2-7058-407f-a001-7dae5eb54a19', 'job_description': 'Versatile coherent toolset', 'start_date': datetime.datetime(2014, 8, 8, 2, 23, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 11, 20, 32, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 12, 9, 30, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '689a80ef-4ef5-46d5-b0d3-28159ba4ad8a', 'end_date': datetime.datetime(2013, 8, 24, 16, 48, 31), 'start_time': datetime.datetime(2013, 10, 14, 19, 19, 3), 'rate': 4, 'updated_at': datetime.datetime(2010, 2, 21, 3, 41, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Czech Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '48eb5b15-b019-46f9-b79a-b318c963121b', 'job_description': 'Multi-channelled client-server projection', 'start_date': datetime.datetime(2018, 10, 20, 13, 33, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 2, 0, 27, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 1, 0, 24, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f45b0966-8afd-4ddd-b9ec-71e87c2a8100', 'end_date': datetime.datetime(2013, 11, 10, 18, 30, 20), 'start_time': datetime.datetime(2015, 7, 9, 14, 38, 30), 'rate': 1, 'updated_at': datetime.datetime(2013, 9, 14, 14, 10, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '02653250-16c2-4e29-917a-a2843a236fe8', 'job_description': 'Open-source radical service-desk', 'start_date': datetime.datetime(2016, 10, 27, 4, 11, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 1, 18, 21, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 29, 11, 50, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '96833fbd-40e9-4808-b640-8130fe1e0937', 'end_date': datetime.datetime(2016, 5, 9, 12, 21), 'start_time': datetime.datetime(2017, 9, 11, 13, 33, 9), 'rate': 4, 'updated_at': datetime.datetime(2010, 7, 5, 14, 43, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '234698ba-9b10-4096-ae73-fe683d07128a', 'job_description': 'Adaptive well-modulated data-warehouse', 'start_date': datetime.datetime(2019, 4, 11, 16, 52, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 22, 6, 0, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 7, 23, 25, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8169860e-1b82-4c0c-b39b-caeef19fc277', 'end_date': datetime.datetime(2013, 5, 1, 14, 37, 14), 'start_time': datetime.datetime(2019, 5, 10, 17, 32, 10), 'rate': 1, 'updated_at': datetime.datetime(2017, 7, 20, 18, 54, 51), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ecc54e7f-5321-4705-854a-c7903ad847c1', 'job_description': 'Reactive uniform website', 'start_date': datetime.datetime(2019, 3, 18, 13, 38, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 9, 14, 13, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 24, 22, 52, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ba1da382-646b-4111-b99a-59b68b9b0064', 'end_date': datetime.datetime(2013, 1, 5, 21, 48, 11), 'start_time': datetime.datetime(2011, 7, 25, 19, 42, 11), 'rate': 2, 'updated_at': datetime.datetime(2011, 10, 2, 22, 30, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Botswana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c8fd327a-2bc1-4390-a876-6fad452ba4e0', 'job_description': 'Centralized upward-trending strategy', 'start_date': datetime.datetime(2015, 6, 20, 11, 0, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 12, 5, 30, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 5, 15, 43, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5cc3fa4a-668a-48eb-b59d-aaf66747b598', 'end_date': datetime.datetime(2011, 4, 29, 9, 54, 9), 'start_time': datetime.datetime(2016, 4, 12, 16, 29, 19), 'rate': 1, 'updated_at': datetime.datetime(2016, 4, 19, 23, 2, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '63d205d1-2127-4328-8d7d-a73f104fb26d', 'job_description': 'Sharable reciprocal support', 'start_date': datetime.datetime(2010, 3, 11, 4, 49, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 21, 20, 15, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 7, 10, 50, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2edb1d9c-710f-4533-816c-f3efd61fa515', 'end_date': datetime.datetime(2012, 1, 29, 15, 22, 23), 'start_time': datetime.datetime(2012, 7, 29, 6, 57, 33), 'rate': 4, 'updated_at': datetime.datetime(2018, 5, 12, 5, 36, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '11d4e4d8-f368-4cdf-be77-119fda400d47', 'job_description': 'Seamless fault-tolerant secured line', 'start_date': datetime.datetime(2012, 6, 8, 16, 47, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 4, 6, 45, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 20, 21, 41, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'befa5437-58af-4f4b-90fe-2ffb70b8ef3e', 'end_date': datetime.datetime(2011, 12, 14, 10, 41, 31), 'start_time': datetime.datetime(2010, 4, 14, 18, 14, 47), 'rate': 2, 'updated_at': datetime.datetime(2014, 3, 5, 22, 8, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '33c590e9-975e-49ce-8dfd-a5723ce94b5c', 'job_description': 'Focused high-level policy', 'start_date': datetime.datetime(2013, 1, 5, 3, 19, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 2, 15, 44, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 20, 14, 11, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9e79c462-64af-4061-8f4b-fd8dd6c943fd', 'end_date': datetime.datetime(2011, 2, 19, 19, 30, 40), 'start_time': datetime.datetime(2015, 5, 3, 20, 18, 32), 'rate': 3, 'updated_at': datetime.datetime(2010, 9, 1, 1, 2, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5dfda496-7146-4014-b4f8-2cbbb901303c', 'job_description': 'Multi-layered asynchronous extranet', 'start_date': datetime.datetime(2015, 2, 28, 21, 6, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 4, 16, 38, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 29, 9, 1, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '72c56aeb-539d-4fef-9b62-bfab7fc4c442', 'end_date': datetime.datetime(2016, 1, 1, 1, 49, 42), 'start_time': datetime.datetime(2011, 11, 30, 0, 18, 10), 'rate': 4, 'updated_at': datetime.datetime(2019, 9, 18, 7, 40, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '87a09f7a-cbfd-45d3-af80-1bc9a42222da', 'job_description': 'Stand-alone clear-thinking software', 'start_date': datetime.datetime(2019, 7, 19, 18, 3, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 7, 14, 44, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 5, 9, 10, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '94a6da23-81d8-47fb-a90e-35b9d5f7d627', 'end_date': datetime.datetime(2012, 1, 19, 21, 27, 15), 'start_time': datetime.datetime(2010, 2, 3, 5, 3, 4), 'rate': 4, 'updated_at': datetime.datetime(2010, 8, 28, 17, 14, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c933989e-8688-451d-af12-4bd68d2ec593', 'job_description': 'Persevering scalable success', 'start_date': datetime.datetime(2015, 7, 25, 19, 26, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 2, 22, 19, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 21, 1, 26, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '58eaa902-bc6f-496b-b217-f0b084384f75', 'end_date': datetime.datetime(2013, 3, 13, 9, 31, 31), 'start_time': datetime.datetime(2018, 9, 12, 15, 39, 32), 'rate': 2, 'updated_at': datetime.datetime(2017, 11, 20, 2, 34, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f9354791-6854-4288-a5eb-217293d420a6', 'job_description': 'Focused multi-tasking time-frame', 'start_date': datetime.datetime(2014, 10, 13, 7, 41, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 26, 8, 51, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 3, 14, 21, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '80423d2c-6362-4622-9c93-d59318f3bb83', 'end_date': datetime.datetime(2019, 9, 26, 10, 19, 40), 'start_time': datetime.datetime(2014, 2, 25, 15, 27, 5), 'rate': 3, 'updated_at': datetime.datetime(2017, 4, 11, 4, 9, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '93307f65-804b-477b-aa12-88aad76fd502', 'job_description': 'Stand-alone system-worthy paradigm', 'start_date': datetime.datetime(2010, 3, 8, 4, 41, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 3, 18, 14, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 15, 23, 7, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc94d802-43a5-4af9-a40a-f9df0702e5d3', 'end_date': datetime.datetime(2012, 10, 20, 3, 26, 3), 'start_time': datetime.datetime(2017, 9, 6, 11, 56, 30), 'rate': 4, 'updated_at': datetime.datetime(2015, 9, 18, 23, 8, 10), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '340505cd-3bbb-438d-8095-80f638363fb4', 'job_description': 'Fully-configurable secondary implementation', 'start_date': datetime.datetime(2016, 4, 20, 20, 18, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 15, 5, 0, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 20, 19, 49, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '369b68ad-df1e-4614-863d-c940c2201fb6', 'end_date': datetime.datetime(2010, 1, 17, 9, 39, 55), 'start_time': datetime.datetime(2014, 3, 23, 9, 59, 50), 'rate': 2, 'updated_at': datetime.datetime(2018, 5, 23, 22, 17, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '457acf97-38fb-498d-b364-53536b149eb8', 'job_description': 'Open-architected bi-directional knowledge base', 'start_date': datetime.datetime(2010, 10, 1, 10, 59, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 22, 18, 48, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 13, 20, 43, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '11e42415-5a1a-4998-8b15-935017763f1c', 'end_date': datetime.datetime(2015, 3, 4, 5, 56, 29), 'start_time': datetime.datetime(2019, 5, 1, 16, 51, 19), 'rate': 2, 'updated_at': datetime.datetime(2019, 2, 2, 2, 49, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '627f617c-02ad-41f2-9264-a58139020fee', 'job_description': 'Devolved multi-state functionalities', 'start_date': datetime.datetime(2012, 11, 19, 14, 43, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 18, 10, 19, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 27, 12, 30, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4643d729-ccdd-4345-bdef-c1c8c6eeae7a', 'end_date': datetime.datetime(2013, 6, 24, 16, 2, 6), 'start_time': datetime.datetime(2017, 5, 14, 19, 47, 32), 'rate': 5, 'updated_at': datetime.datetime(2018, 8, 11, 0, 57, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fad7532e-8a9d-4336-a2fa-90a4acd967eb', 'job_description': 'Up-sized directional archive', 'start_date': datetime.datetime(2013, 8, 9, 11, 34, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 2, 10, 12, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 21, 4, 14, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e74e9b40-b406-4352-8950-d79814186db4', 'end_date': datetime.datetime(2016, 11, 15, 9, 31, 49), 'start_time': datetime.datetime(2018, 5, 8, 21, 56, 8), 'rate': 2, 'updated_at': datetime.datetime(2017, 2, 23, 20, 23, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '98ce35ed-212b-4115-b981-662b5ed9d49b', 'job_description': 'Face to face bandwidth-monitored implementation', 'start_date': datetime.datetime(2013, 12, 18, 22, 25, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 9, 11, 51, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 10, 20, 15, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7ef9b8de-1014-4148-8975-2dc4ec4228b8', 'end_date': datetime.datetime(2013, 6, 28, 15, 26), 'start_time': datetime.datetime(2012, 2, 19, 16, 44, 23), 'rate': 5, 'updated_at': datetime.datetime(2018, 9, 19, 21, 22, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '24943d0e-931f-48c3-a0c5-3101fd252c8a', 'job_description': 'Right-sized asynchronous standardization', 'start_date': datetime.datetime(2011, 1, 3, 22, 30, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 14, 12, 13, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 3, 10, 54, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '29857a42-f567-4427-b123-ed16c064b335', 'end_date': datetime.datetime(2015, 4, 26, 22, 7, 12), 'start_time': datetime.datetime(2017, 12, 31, 7, 4, 13), 'rate': 5, 'updated_at': datetime.datetime(2012, 10, 3, 22, 19, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f4460214-6050-405d-9562-97af17c86ec9', 'job_description': 'Down-sized interactive firmware', 'start_date': datetime.datetime(2017, 3, 22, 19, 34, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 30, 23, 10, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 22, 10, 2, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '50a9e596-f28f-4c88-95cc-bf2736068c48', 'end_date': datetime.datetime(2015, 4, 24, 1, 52, 56), 'start_time': datetime.datetime(2011, 4, 10, 6, 16, 40), 'rate': 4, 'updated_at': datetime.datetime(2017, 1, 28, 0, 24, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ab52c593-de12-4152-adf9-275efd97f5fc', 'job_description': 'Cloned needs-based utilisation', 'start_date': datetime.datetime(2015, 2, 16, 5, 27, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 22, 3, 11, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 23, 1, 36, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '195aab2b-9a08-4f4a-806d-e6b7563613bd', 'end_date': datetime.datetime(2017, 9, 29, 2, 54, 55), 'start_time': datetime.datetime(2018, 12, 5, 15, 34, 31), 'rate': 2, 'updated_at': datetime.datetime(2019, 12, 1, 4, 14, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9c197130-67d8-4195-832a-a8d2df4059b0', 'job_description': 'Adaptive system-worthy system engine', 'start_date': datetime.datetime(2010, 7, 14, 6, 45, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 11, 1, 18, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 1, 18, 58, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8367aaf4-047c-4a13-b5bf-301b30b6b2d8', 'end_date': datetime.datetime(2011, 12, 17, 16, 14, 14), 'start_time': datetime.datetime(2013, 2, 23, 13, 7, 21), 'rate': 3, 'updated_at': datetime.datetime(2011, 6, 20, 16, 38, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Bermuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fea3cc6f-ecc5-4e76-bfe8-23ee627369bd', 'job_description': 'Self-enabling motivating capacity', 'start_date': datetime.datetime(2014, 6, 26, 3, 9, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 17, 2, 37, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 25, 8, 29, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1a8f2875-5d34-48fe-a7be-4e24dbdbde43', 'end_date': datetime.datetime(2016, 5, 16, 17, 40, 47), 'start_time': datetime.datetime(2013, 1, 23, 1, 53, 10), 'rate': 3, 'updated_at': datetime.datetime(2010, 1, 31, 23, 52, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Heard Island and McDonald Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ccdb4468-c89d-4af4-b0ae-463e9f885e9b', 'job_description': 'Proactive dynamic database', 'start_date': datetime.datetime(2011, 5, 24, 19, 22, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 13, 10, 31, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 29, 19, 2, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f945e8c6-a4cd-453e-8d2c-eac1aac88617', 'end_date': datetime.datetime(2015, 11, 20, 1, 29, 11), 'start_time': datetime.datetime(2018, 2, 15, 17, 10, 27), 'rate': 4, 'updated_at': datetime.datetime(2013, 3, 14, 3, 53, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Martinique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e5d060b3-1f88-49fe-a83b-5e4927a8b5ec', 'job_description': 'Vision-oriented stable time-frame', 'start_date': datetime.datetime(2015, 5, 11, 3, 1, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 10, 9, 50, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 27, 3, 5, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b003ee3c-c9f3-460b-9c2a-5ecd336eb589', 'end_date': datetime.datetime(2014, 12, 4, 4, 37, 24), 'start_time': datetime.datetime(2011, 5, 24, 9, 7, 28), 'rate': 2, 'updated_at': datetime.datetime(2017, 8, 24, 2, 41, 53), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2ea0f64e-4ec3-4435-a074-32b11047f65c', 'job_description': 'Profound zero defect portal', 'start_date': datetime.datetime(2017, 9, 23, 8, 25, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 17, 3, 9, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 11, 17, 33, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb7f69c9-ca96-4c19-a0c6-092176cd3700', 'end_date': datetime.datetime(2013, 6, 14, 8, 20, 58), 'start_time': datetime.datetime(2011, 2, 2, 0, 12, 48), 'rate': 5, 'updated_at': datetime.datetime(2019, 9, 27, 15, 21, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1d8cb185-8992-4290-9c41-3a1cc6848cc7', 'job_description': 'Robust radical strategy', 'start_date': datetime.datetime(2015, 2, 3, 18, 18, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 25, 2, 39, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 23, 15, 1, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '929af2eb-0136-420f-a32c-53f09e26b7a2', 'end_date': datetime.datetime(2014, 8, 31, 0, 19, 50), 'start_time': datetime.datetime(2013, 1, 3, 17, 7, 25), 'rate': 3, 'updated_at': datetime.datetime(2013, 2, 22, 8, 59, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Belgium', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '83333383-b9ce-432f-ad74-4f2232183593', 'job_description': 'Optimized heuristic service-desk', 'start_date': datetime.datetime(2016, 8, 26, 3, 43, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 26, 23, 6, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 22, 15, 3, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9b0821b6-cad4-4265-afad-2c9cb95c3887', 'end_date': datetime.datetime(2014, 3, 22, 5, 50, 51), 'start_time': datetime.datetime(2018, 1, 14, 4, 38, 1), 'rate': 2, 'updated_at': datetime.datetime(2015, 4, 4, 1, 55, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a9e66888-71b5-424d-ae18-fa90baf4b708', 'job_description': 'Integrated bandwidth-monitored superstructure', 'start_date': datetime.datetime(2013, 5, 26, 5, 28, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 11, 21, 53, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 17, 22, 3, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7c7c3861-8595-4c41-ba4c-5cbad50b5101', 'end_date': datetime.datetime(2014, 3, 28, 13, 4, 52), 'start_time': datetime.datetime(2013, 8, 1, 6, 19, 35), 'rate': 5, 'updated_at': datetime.datetime(2015, 3, 14, 5, 34, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '21daf470-1770-4da4-a09f-c3e2f561b7fe', 'job_description': 'Synchronised well-modulated focus group', 'start_date': datetime.datetime(2015, 9, 29, 17, 2, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 7, 5, 29, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 16, 5, 22, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8147ab8c-399f-4b17-bbb9-7a0a3b147d35', 'end_date': datetime.datetime(2016, 9, 28, 6, 27, 27), 'start_time': datetime.datetime(2016, 4, 2, 13, 32, 43), 'rate': 2, 'updated_at': datetime.datetime(2012, 12, 5, 22, 46, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c1cf9c17-3275-4dad-978a-5c112bf5f6a2', 'job_description': 'Cloned foreground focus group', 'start_date': datetime.datetime(2013, 9, 29, 5, 33, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 26, 17, 20, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 6, 20, 14, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f4dfa406-175e-4387-9a9a-71780e295663', 'end_date': datetime.datetime(2014, 3, 22, 14, 28, 21), 'start_time': datetime.datetime(2017, 12, 6, 20, 14, 58), 'rate': 5, 'updated_at': datetime.datetime(2019, 6, 4, 7, 30, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '98d9fa0f-f9a1-4ef0-9e91-d013afb0ba04', 'job_description': 'Public-key user-facing architecture', 'start_date': datetime.datetime(2014, 8, 9, 22, 54, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 3, 23, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 7, 1, 1, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b1b75478-e93f-4056-9522-dc196a742439', 'end_date': datetime.datetime(2010, 7, 10, 20, 26, 31), 'start_time': datetime.datetime(2014, 12, 21, 21, 32, 8), 'rate': 5, 'updated_at': datetime.datetime(2010, 7, 25, 3, 20, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '23c7f118-03f6-4b77-b20b-a97d36da21d2', 'job_description': 'Up-sized holistic task-force', 'start_date': datetime.datetime(2015, 11, 15, 18, 54, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 29, 1, 10, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 8, 5, 20, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '47a6e6b6-6489-4379-b72e-61fd99fd258c', 'end_date': datetime.datetime(2010, 3, 14, 23, 12, 57), 'start_time': datetime.datetime(2018, 11, 21, 22, 11, 48), 'rate': 5, 'updated_at': datetime.datetime(2018, 1, 2, 8, 39, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '61a73158-141c-42c5-b074-0659899ead33', 'job_description': 'Advanced value-added monitoring', 'start_date': datetime.datetime(2018, 7, 24, 1, 48, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 2, 21, 5, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 1, 1, 18, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a262ebbe-b559-48ab-ae6c-7aabb990310c', 'end_date': datetime.datetime(2014, 5, 9, 0, 5, 11), 'start_time': datetime.datetime(2010, 5, 20, 18, 42, 45), 'rate': 1, 'updated_at': datetime.datetime(2010, 12, 19, 22, 19, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c336caf0-00b5-415f-ad75-2ff81e8ff0cd', 'job_description': 'Extended human-resource benchmark', 'start_date': datetime.datetime(2018, 11, 13, 6, 6, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 29, 19, 57, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 26, 2, 59, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b9ec0e69-7e58-46cf-9653-085a8eae3b49', 'end_date': datetime.datetime(2016, 9, 5, 19, 49, 1), 'start_time': datetime.datetime(2019, 3, 2, 12, 30, 51), 'rate': 4, 'updated_at': datetime.datetime(2010, 3, 21, 1, 41, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Peru', 'special_note': 'thanks'}
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{'_id': '797c874a-58b1-4ae5-823d-889248be2be2', 'job_description': 'Automated bi-directional methodology', 'start_date': datetime.datetime(2012, 6, 15, 20, 25, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 4, 1, 58, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 30, 3, 44, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '97e93c3d-c039-4c92-97ee-0d96cd8569c8', 'end_date': datetime.datetime(2011, 2, 6, 13, 36, 37), 'start_time': datetime.datetime(2012, 4, 1, 8, 53, 37), 'rate': 1, 'updated_at': datetime.datetime(2011, 11, 23, 2, 51, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': '897b0334-0619-4027-bea0-8197160a8430', 'job_description': 'Ameliorated 3rd generation paradigm', 'start_date': datetime.datetime(2010, 6, 15, 12, 47, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 10, 14, 1, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 4, 18, 10, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '660adcd0-ba79-4987-908f-5196c581843b', 'end_date': datetime.datetime(2014, 3, 19, 5, 5, 32), 'start_time': datetime.datetime(2018, 2, 25, 14, 12, 50), 'rate': 2, 'updated_at': datetime.datetime(2015, 9, 29, 8, 36, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': 'e4af0545-c3de-4f41-b273-d351d9e7a509', 'job_description': 'Operative motivating success', 'start_date': datetime.datetime(2019, 10, 24, 5, 33, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 18, 5, 1, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 23, 17, 29, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9c8bc12d-f8a1-4208-bb49-db15abf59bcf', 'end_date': datetime.datetime(2016, 9, 22, 9, 30, 27), 'start_time': datetime.datetime(2019, 11, 10, 13, 55, 49), 'rate': 4, 'updated_at': datetime.datetime(2014, 11, 3, 2, 45, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Isle of Man', 'special_note': 'thanks'}
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{'_id': 'c9c599a6-564f-4823-a556-e9ab44414f7e', 'job_description': 'Implemented optimizing contingency', 'start_date': datetime.datetime(2013, 8, 6, 3, 45, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 2, 15, 38, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 26, 16, 4, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '931aeb19-0e5e-4095-a5f4-d872a82dbc28', 'end_date': datetime.datetime(2013, 1, 17, 1, 4, 4), 'start_time': datetime.datetime(2014, 12, 14, 11, 57, 53), 'rate': 5, 'updated_at': datetime.datetime(2011, 1, 27, 11, 50, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Tuvalu', 'special_note': 'thanks'}
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{'_id': 'e57a1f9e-98b8-4941-8f6f-0e8e25f9624e', 'job_description': 'Public-key secondary knowledge user', 'start_date': datetime.datetime(2011, 2, 3, 6, 52, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 9, 12, 56, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 12, 20, 56, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0deb89dc-61e7-4cba-9320-44158cc85272', 'end_date': datetime.datetime(2019, 6, 24, 15, 47, 40), 'start_time': datetime.datetime(2019, 3, 6, 17, 31, 16), 'rate': 5, 'updated_at': datetime.datetime(2012, 12, 15, 15, 0), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
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{'_id': 'ef288591-7c50-4bb6-9d1b-6954e6820278', 'job_description': 'Mandatory local superstructure', 'start_date': datetime.datetime(2015, 8, 1, 23, 36, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 22, 6, 56, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 19, 21, 30, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '33dc5c47-1c8a-4fae-a8ce-0f0f8fa4cb03', 'end_date': datetime.datetime(2018, 7, 23, 12, 23, 17), 'start_time': datetime.datetime(2018, 2, 15, 2, 17, 57), 'rate': 1, 'updated_at': datetime.datetime(2010, 3, 2, 2, 10, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': '92f30628-c7f8-4505-ae15-8eeb4fa246d3', 'job_description': 'Self-enabling bi-directional open system', 'start_date': datetime.datetime(2013, 12, 29, 23, 13, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 12, 19, 20, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 20, 8, 41, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd2069985-c5c1-4c52-96f0-602f8b01d33f', 'end_date': datetime.datetime(2013, 12, 25, 3, 53, 49), 'start_time': datetime.datetime(2011, 9, 25, 14, 48, 3), 'rate': 3, 'updated_at': datetime.datetime(2015, 10, 9, 21, 53, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': 'af6d6dac-c9cb-4b6c-aa69-6a2c003d0a79', 'job_description': 'Reduced methodical conglomeration', 'start_date': datetime.datetime(2014, 11, 12, 7, 41, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 29, 18, 44, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 24, 3, 38, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cbbb8e56-3211-4437-b9e3-b4e4194677df', 'end_date': datetime.datetime(2010, 3, 15, 0, 6, 36), 'start_time': datetime.datetime(2011, 9, 27, 11, 17, 16), 'rate': 2, 'updated_at': datetime.datetime(2018, 8, 29, 8, 47, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
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{'_id': 'eda107aa-851d-4285-a0b9-443a02e11739', 'job_description': 'Realigned exuding artificial intelligence', 'start_date': datetime.datetime(2013, 5, 27, 15, 26, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 14, 12, 44, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 28, 4, 19, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc39fd63-1fa2-4103-b6e8-533786df74a4', 'end_date': datetime.datetime(2014, 7, 16, 5, 27, 7), 'start_time': datetime.datetime(2011, 3, 11, 20, 3, 32), 'rate': 1, 'updated_at': datetime.datetime(2012, 9, 26, 21, 31, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': 'c3e9eb89-8046-4eb8-be6b-831e84fccd90', 'job_description': 'Robust non-volatile productivity', 'start_date': datetime.datetime(2010, 4, 19, 23, 45, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 18, 1, 32, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 31, 10, 6, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e163106f-ca20-4d20-9378-28d480e91dc8', 'end_date': datetime.datetime(2012, 6, 2, 14, 40, 45), 'start_time': datetime.datetime(2011, 7, 8, 9, 51, 13), 'rate': 1, 'updated_at': datetime.datetime(2015, 2, 26, 5, 5, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
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{'_id': '68011bab-22b3-4f5c-b65f-d305fef8c34d', 'job_description': 'Re-contextualized multi-state parallelism', 'start_date': datetime.datetime(2017, 2, 19, 18, 35, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 8, 12, 8, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 13, 9, 4, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b0490738-71d8-461e-8f0c-d422e21ab302', 'end_date': datetime.datetime(2012, 11, 14, 5, 25, 16), 'start_time': datetime.datetime(2015, 2, 5, 19, 19, 4), 'rate': 3, 'updated_at': datetime.datetime(2010, 9, 1, 22, 57, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Montserrat', 'special_note': 'thanks'}
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{'_id': 'fd167cff-884b-41b8-a278-96a410080b0e', 'job_description': 'Polarised logistical moratorium', 'start_date': datetime.datetime(2014, 8, 17, 9, 3, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 4, 6, 14, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 11, 18, 17, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '636084f8-86ca-4153-89e2-44ebf80126fa', 'end_date': datetime.datetime(2016, 10, 8, 13, 37, 25), 'start_time': datetime.datetime(2015, 4, 7, 5, 55, 50), 'rate': 5, 'updated_at': datetime.datetime(2015, 6, 11, 2, 13, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b621e112-d3f7-4eb2-8dc1-40f5b826588c', 'job_description': 'Cross-platform fresh-thinking archive', 'start_date': datetime.datetime(2018, 3, 2, 7, 53, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 15, 23, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 5, 12, 7, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3d8cea6c-fd2b-46df-888f-3e85542f46ec', 'end_date': datetime.datetime(2015, 9, 6, 14, 22, 35), 'start_time': datetime.datetime(2012, 6, 22, 23, 2, 22), 'rate': 5, 'updated_at': datetime.datetime(2019, 3, 22, 12, 43, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '092786ff-65d5-47ef-9993-33c0e037a831', 'job_description': 'Implemented bandwidth-monitored info-mediaries', 'start_date': datetime.datetime(2012, 5, 21, 6, 12, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 27, 11, 1, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 23, 9, 5, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4efd7588-1727-47bc-b27e-40d4cc3db739', 'end_date': datetime.datetime(2017, 6, 28, 2, 29, 30), 'start_time': datetime.datetime(2015, 2, 28, 19, 3, 31), 'rate': 3, 'updated_at': datetime.datetime(2019, 2, 24, 16, 41, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
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{'_id': '2cadbe71-12fa-41d4-bfef-3f9119beee93', 'job_description': 'Progressive motivating Graphic Interface', 'start_date': datetime.datetime(2017, 6, 3, 6, 3, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 15, 0, 10, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 30, 18, 27, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd6246777-9cb7-43e3-bd2a-13fb2e4d8034', 'end_date': datetime.datetime(2013, 7, 28, 16, 8, 40), 'start_time': datetime.datetime(2019, 5, 1, 16, 39, 34), 'rate': 4, 'updated_at': datetime.datetime(2013, 7, 2, 19, 55, 4), 'job_title': 'CoffeeMaker', 'service_id': 'New Caledonia', 'special_note': 'thanks'}
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{'_id': 'e1b841ff-6316-4296-8aa4-47b57ab320ec', 'job_description': 'Implemented client-driven application', 'start_date': datetime.datetime(2013, 2, 3, 10, 49, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 6, 9, 48, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 28, 0, 34, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ef59f739-5061-463d-97e0-42c822c3e6c2', 'end_date': datetime.datetime(2017, 1, 23, 18, 22, 49), 'start_time': datetime.datetime(2012, 11, 29, 6, 21, 14), 'rate': 2, 'updated_at': datetime.datetime(2010, 8, 31, 23, 13, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
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{'_id': 'b44296dd-6c66-4c88-9245-6a7464d07aca', 'job_description': 'Fundamental dynamic strategy', 'start_date': datetime.datetime(2019, 1, 25, 14, 10, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 4, 0, 42, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 2, 23, 39, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eee8d156-7c98-4f21-b0c1-68a355a0b722', 'end_date': datetime.datetime(2014, 7, 30, 2, 27, 52), 'start_time': datetime.datetime(2011, 11, 2, 8, 52, 52), 'rate': 3, 'updated_at': datetime.datetime(2011, 4, 24, 23, 53, 57), 'job_title': 'CoffeeMaker', 'service_id': 'India', 'special_note': 'thanks'}
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{'_id': '816b6931-2457-4676-926e-ae263f9c3481', 'job_description': 'Secured maximized help-desk', 'start_date': datetime.datetime(2017, 9, 17, 3, 31, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 18, 1, 9, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 9, 14, 59, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b794ec90-b0ed-4774-a859-6518214e8642', 'end_date': datetime.datetime(2010, 8, 15, 1, 55, 44), 'start_time': datetime.datetime(2010, 5, 14, 18, 13, 23), 'rate': 3, 'updated_at': datetime.datetime(2012, 10, 29, 15, 44, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
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{'_id': 'c07f4177-ce2a-458e-890b-a2d0932cd139', 'job_description': 'Compatible directional toolset', 'start_date': datetime.datetime(2019, 1, 14, 10, 23, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 12, 10, 52, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 31, 0, 31, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3a73e414-d5cd-45b4-9bd0-71d434713d3a', 'end_date': datetime.datetime(2018, 5, 22, 8, 21, 5), 'start_time': datetime.datetime(2014, 5, 26, 13, 28, 40), 'rate': 5, 'updated_at': datetime.datetime(2016, 6, 9, 8, 32, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Puerto Rico', 'special_note': 'thanks'}
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{'_id': 'fabb82ed-fe8f-48c2-a3f4-eae7b9f9452d', 'job_description': 'Open-source high-level installation', 'start_date': datetime.datetime(2016, 5, 6, 12, 3, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 29, 7, 49, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 28, 12, 56, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5fe2e92f-79fc-41c5-b6ed-a11489312228', 'end_date': datetime.datetime(2012, 10, 28, 20, 12, 21), 'start_time': datetime.datetime(2011, 10, 6, 21, 8, 56), 'rate': 2, 'updated_at': datetime.datetime(2012, 5, 28, 22, 16, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': 'd88854ae-9c94-4ada-acd8-ecb7d5a9bbd4', 'job_description': 'Future-proofed tangible knowledge user', 'start_date': datetime.datetime(2011, 5, 31, 16, 50, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 15, 14, 21, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 23, 10, 27, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3c161e43-31c4-491e-adc3-e0af47999599', 'end_date': datetime.datetime(2013, 7, 31, 7, 30, 33), 'start_time': datetime.datetime(2012, 6, 26, 18, 25, 19), 'rate': 1, 'updated_at': datetime.datetime(2012, 4, 11, 3, 16, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
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{'_id': '0f304b9f-b2c4-4dd1-9e16-cb8ad68423d4', 'job_description': 'Operative heuristic synergy', 'start_date': datetime.datetime(2018, 10, 2, 15, 0, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 26, 22, 50, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 13, 20, 6, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e7bbe583-cb4e-42c7-876c-c8e8bda97510', 'end_date': datetime.datetime(2012, 8, 12, 17, 39, 51), 'start_time': datetime.datetime(2017, 10, 27, 10, 11, 26), 'rate': 5, 'updated_at': datetime.datetime(2018, 8, 2, 15, 22, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': '998e28e9-ecc6-45d7-b15d-ff0253130e54', 'job_description': 'Vision-oriented impactful leverage', 'start_date': datetime.datetime(2013, 5, 30, 4, 57, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 10, 11, 48, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 15, 18, 52, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '31bc232c-7978-43ac-9894-8292ec78043a', 'end_date': datetime.datetime(2017, 1, 30, 1, 32, 30), 'start_time': datetime.datetime(2018, 5, 14, 16, 11, 14), 'rate': 2, 'updated_at': datetime.datetime(2014, 5, 29, 13, 29, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
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{'_id': '782f5c3d-9bf5-447c-8db9-510364d3a62a', 'job_description': 'Phased leading edge info-mediaries', 'start_date': datetime.datetime(2018, 10, 3, 12, 2, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 26, 1, 31, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 1, 5, 31, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c3170f3b-b2ff-497d-8ab6-bc7252b8c63b', 'end_date': datetime.datetime(2010, 6, 27, 3, 55, 13), 'start_time': datetime.datetime(2014, 9, 17, 21, 56, 25), 'rate': 3, 'updated_at': datetime.datetime(2013, 12, 10, 20, 36, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3a7c0e24-28b6-4371-9941-4d9a9ccd421b', 'job_description': 'Pre-emptive impactful workforce', 'start_date': datetime.datetime(2013, 7, 4, 1, 51, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 3, 9, 24, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 30, 4, 21, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8a0f83f0-269d-480f-bdfd-c14d48c8abce', 'end_date': datetime.datetime(2018, 7, 5, 5, 52, 21), 'start_time': datetime.datetime(2013, 5, 7, 3, 0, 34), 'rate': 3, 'updated_at': datetime.datetime(2016, 4, 21, 22, 55, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8ee9a295-d199-4716-be79-0450a256a2a6', 'job_description': 'Proactive discrete benchmark', 'start_date': datetime.datetime(2014, 7, 7, 3, 23, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 1, 4, 34, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 19, 21, 46, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f432d25c-f57e-4058-932b-82382d82652f', 'end_date': datetime.datetime(2019, 4, 8, 0, 47, 37), 'start_time': datetime.datetime(2016, 6, 9, 10, 26, 2), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 17, 7, 8, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ca22dd78-cd70-43a5-b32c-1d388e783b02', 'job_description': 'Object-based holistic collaboration', 'start_date': datetime.datetime(2011, 9, 4, 6, 25, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 15, 18, 46, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 29, 18, 7, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '22accbe2-2463-410b-8e33-209b23ed5cfc', 'end_date': datetime.datetime(2019, 11, 15, 14, 35, 57), 'start_time': datetime.datetime(2010, 8, 18, 16, 37, 26), 'rate': 3, 'updated_at': datetime.datetime(2017, 6, 17, 2, 25, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '752df60f-4fac-47fc-951b-7279873b09be', 'job_description': 'Versatile even-keeled help-desk', 'start_date': datetime.datetime(2010, 3, 1, 21, 7, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 28, 12, 32, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 11, 3, 46, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'de204201-0c52-42d9-b8e2-997803df274b', 'end_date': datetime.datetime(2018, 5, 1, 17, 45, 55), 'start_time': datetime.datetime(2015, 3, 15, 17, 33, 23), 'rate': 3, 'updated_at': datetime.datetime(2015, 2, 1, 2, 17, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e3cd8395-b829-497c-9d2a-48103f23b72d', 'job_description': 'Compatible 24/7 adapter', 'start_date': datetime.datetime(2015, 12, 4, 5, 45, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 13, 2, 37, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 30, 18, 35, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '839b5cb4-9a2b-4a06-904b-30f5e453cefb', 'end_date': datetime.datetime(2018, 4, 14, 16, 40, 43), 'start_time': datetime.datetime(2012, 7, 31, 14, 32, 29), 'rate': 1, 'updated_at': datetime.datetime(2018, 7, 29, 3, 53, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '39b642f6-5152-4af9-b6cb-f32443d2a29a', 'job_description': 'Re-engineered interactive matrix', 'start_date': datetime.datetime(2014, 8, 1, 8, 44, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 11, 10, 9, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 29, 4, 57, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '74eec6bc-2e2d-49d0-ad03-17d07c80f98d', 'end_date': datetime.datetime(2013, 2, 16, 9, 34), 'start_time': datetime.datetime(2018, 6, 30, 2, 37, 21), 'rate': 4, 'updated_at': datetime.datetime(2016, 2, 22, 19, 34, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '50d716c1-8288-48a8-95c3-567389839ce5', 'job_description': 'Configurable assymetric open architecture', 'start_date': datetime.datetime(2013, 4, 24, 20, 40, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 25, 10, 36, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 22, 19, 2, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cdcb24df-6bd1-4b56-96b3-765248e0e9a4', 'end_date': datetime.datetime(2012, 3, 14, 11, 20, 52), 'start_time': datetime.datetime(2012, 6, 24, 5, 21, 36), 'rate': 5, 'updated_at': datetime.datetime(2013, 10, 2, 7, 21, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Antarctica (the territory South of 60 deg S)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e0719bbe-30e9-4f47-9ca6-78ab38cb484a', 'job_description': 'Advanced system-worthy firmware', 'start_date': datetime.datetime(2016, 2, 9, 4, 2, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 7, 12, 19, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 18, 1, 29, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '046b850f-c7f8-48e4-aae8-d4292cfd144b', 'end_date': datetime.datetime(2016, 2, 28, 5, 27, 55), 'start_time': datetime.datetime(2018, 9, 16, 8, 35, 43), 'rate': 5, 'updated_at': datetime.datetime(2019, 5, 24, 18, 23, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd90155a9-cb9c-465e-909b-058a28146e16', 'job_description': 'Multi-tiered systematic data-warehouse', 'start_date': datetime.datetime(2015, 3, 7, 1, 5, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 10, 20, 9, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 27, 15, 48, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c9e9fa46-6560-4c97-9feb-a29ff813e62e', 'end_date': datetime.datetime(2012, 1, 21, 0, 1, 22), 'start_time': datetime.datetime(2012, 12, 24, 0, 51, 37), 'rate': 4, 'updated_at': datetime.datetime(2015, 3, 30, 6, 53, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dce9371e-4131-4a75-83f7-dac3ab7b5d3c', 'job_description': 'Synergistic foreground implementation', 'start_date': datetime.datetime(2010, 9, 29, 2, 55, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 3, 13, 53, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 7, 19, 28, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '98c560af-0ef6-47ee-93fe-28684f78cc70', 'end_date': datetime.datetime(2017, 6, 7, 4, 26, 51), 'start_time': datetime.datetime(2011, 10, 23, 2, 25, 57), 'rate': 5, 'updated_at': datetime.datetime(2015, 1, 2, 19, 37, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10921483-cecb-49d6-868b-7122b6aa3d31', 'job_description': 'Ergonomic reciprocal matrix', 'start_date': datetime.datetime(2018, 6, 12, 16, 14, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 12, 19, 50, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 28, 2, 2, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a7c70fa7-e096-456b-a127-d58a71fabef8', 'end_date': datetime.datetime(2013, 1, 19, 11, 1, 21), 'start_time': datetime.datetime(2015, 6, 25, 21, 23, 48), 'rate': 2, 'updated_at': datetime.datetime(2018, 8, 12, 14, 26, 23), 'job_title': 'CoffeeMaker', 'service_id': 'South Africa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '140448d7-3874-4d06-98a5-21b335f0285b', 'job_description': 'Enterprise-wide responsive orchestration', 'start_date': datetime.datetime(2015, 6, 21, 17, 50, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 13, 1, 22, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 1, 18, 33, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c04478c-335e-40c5-bf81-58f792ce9d82', 'end_date': datetime.datetime(2017, 4, 21, 0, 39, 37), 'start_time': datetime.datetime(2014, 6, 14, 19, 29, 25), 'rate': 2, 'updated_at': datetime.datetime(2012, 3, 21, 17, 53, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '99a2dfbf-d004-4148-a361-0fb792ddd840', 'job_description': 'Multi-layered context-sensitive policy', 'start_date': datetime.datetime(2011, 1, 10, 6, 0, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 4, 1, 8, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 18, 14, 48, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a56955c-c156-46c9-9069-f0b56ea49561', 'end_date': datetime.datetime(2017, 7, 26, 23, 26, 10), 'start_time': datetime.datetime(2013, 2, 25, 12, 3, 19), 'rate': 1, 'updated_at': datetime.datetime(2018, 7, 29, 6, 43, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c9632516-f371-41f5-8f83-ed372552c012', 'job_description': 'Managed object-oriented firmware', 'start_date': datetime.datetime(2018, 10, 26, 13, 29, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 11, 11, 34, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 14, 13, 38, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e070f43-b25f-4bb1-b146-932490e82282', 'end_date': datetime.datetime(2014, 10, 30, 13, 58, 6), 'start_time': datetime.datetime(2016, 10, 10, 13, 55, 57), 'rate': 1, 'updated_at': datetime.datetime(2012, 6, 24, 6, 53, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '394d221c-fa8a-4f2c-919a-77937aa29218', 'job_description': 'Focused mobile moratorium', 'start_date': datetime.datetime(2013, 1, 7, 12, 16, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 18, 6, 1, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 23, 19, 19, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '98c598b7-7970-4bda-8ff8-016347cce273', 'end_date': datetime.datetime(2018, 6, 20, 4, 39, 9), 'start_time': datetime.datetime(2013, 2, 17, 3, 43, 29), 'rate': 5, 'updated_at': datetime.datetime(2014, 11, 13, 3, 19, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f5d0923d-f18e-44c9-b1a1-322c29bc5314', 'job_description': 'User-centric multi-state open system', 'start_date': datetime.datetime(2019, 10, 1, 4, 1, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 3, 19, 18, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 28, 4, 36, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9f68e2bd-62d2-45c5-822f-078e7a294461', 'end_date': datetime.datetime(2012, 4, 27, 4, 29, 55), 'start_time': datetime.datetime(2019, 3, 24, 17, 44, 54), 'rate': 3, 'updated_at': datetime.datetime(2016, 2, 14, 19, 37, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a5526ca2-2e05-429c-9af8-ada75a2a27a9', 'job_description': 'Cloned interactive collaboration', 'start_date': datetime.datetime(2010, 7, 28, 8, 11, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 15, 3, 21, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 6, 22, 7, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '47f60776-39da-446a-bedc-ac816738d93c', 'end_date': datetime.datetime(2012, 7, 9, 14, 31, 25), 'start_time': datetime.datetime(2017, 11, 8, 8, 39, 11), 'rate': 2, 'updated_at': datetime.datetime(2010, 5, 15, 10, 18, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '168c94f2-dc91-4e4c-ba7f-d7f3557ef829', 'job_description': 'Multi-lateral discrete knowledge base', 'start_date': datetime.datetime(2010, 5, 25, 10, 56, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 28, 23, 5, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 13, 10, 57, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1e592a01-5517-481a-b562-20859130db99', 'end_date': datetime.datetime(2012, 2, 28, 8, 23, 23), 'start_time': datetime.datetime(2013, 8, 15, 11, 59, 26), 'rate': 4, 'updated_at': datetime.datetime(2016, 8, 30, 8, 10, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5dafdc71-9719-48db-be6d-2d1ea7a92272', 'job_description': 'Automated next generation moratorium', 'start_date': datetime.datetime(2018, 4, 17, 23, 30, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 22, 7, 56, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 5, 12, 43, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '52017417-a3bc-40df-8fa1-bd09a468749c', 'end_date': datetime.datetime(2012, 9, 6, 23, 8, 38), 'start_time': datetime.datetime(2015, 11, 10, 23, 4, 3), 'rate': 1, 'updated_at': datetime.datetime(2010, 4, 22, 14, 22, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '85201137-f836-4249-9edb-2ecc14193bcb', 'job_description': 'Devolved interactive policy', 'start_date': datetime.datetime(2011, 7, 19, 6, 3, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 8, 11, 19, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 20, 11, 12, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd550a6c4-c685-4da9-b250-036819228f1a', 'end_date': datetime.datetime(2013, 8, 8, 21, 26, 24), 'start_time': datetime.datetime(2011, 4, 13, 1, 49, 7), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 10, 15, 20, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'add92ecd-c6ca-43ec-835a-9fe6f53bdcfd', 'job_description': 'Ameliorated bifurcated data-warehouse', 'start_date': datetime.datetime(2018, 8, 31, 6, 37, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 8, 15, 48, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 28, 11, 56, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2b94db08-445c-443c-98a4-359f4a5c712e', 'end_date': datetime.datetime(2014, 5, 8, 23, 26, 53), 'start_time': datetime.datetime(2016, 1, 15, 12, 45, 19), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 24, 16, 44, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '715c558e-6cd5-44c6-82cb-07fbc92dee7a', 'job_description': 'Decentralized reciprocal matrix', 'start_date': datetime.datetime(2011, 7, 16, 20, 47, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 22, 13, 31, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 11, 21, 19, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb6740af-98b6-45b0-b51c-38d714f4f1d9', 'end_date': datetime.datetime(2013, 12, 31, 20, 22, 1), 'start_time': datetime.datetime(2010, 6, 20, 9, 9, 25), 'rate': 1, 'updated_at': datetime.datetime(2019, 11, 21, 13, 58, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cbea9c97-7bd1-4d31-ba05-6e3a00ba1700', 'job_description': 'Digitized modular attitude', 'start_date': datetime.datetime(2013, 11, 7, 9, 47, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 5, 8, 37, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 6, 4, 31, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5cac684b-1cbb-42cd-aa61-81fb53b365d1', 'end_date': datetime.datetime(2013, 11, 18, 6, 29, 26), 'start_time': datetime.datetime(2010, 1, 29, 14, 47, 42), 'rate': 3, 'updated_at': datetime.datetime(2011, 8, 7, 2, 26, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b7255f74-dfe3-4a85-aad9-b5e68603e0ea', 'job_description': 'Proactive web-enabled pricing structure', 'start_date': datetime.datetime(2018, 10, 3, 18, 26, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 10, 21, 36, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 4, 22, 7, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77ee8375-cf03-4283-b318-3ef1f92f605b', 'end_date': datetime.datetime(2017, 7, 4, 9, 6, 9), 'start_time': datetime.datetime(2012, 12, 15, 16, 10, 58), 'rate': 4, 'updated_at': datetime.datetime(2018, 3, 17, 17, 51, 41), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '46054801-f97b-4add-88e1-d9efc39d1112', 'job_description': 'Business-focused tertiary superstructure', 'start_date': datetime.datetime(2018, 9, 10, 23, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 13, 9, 32, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 16, 18, 9, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '01a63e0b-2b7b-4914-a273-8582e13d9194', 'end_date': datetime.datetime(2019, 8, 31, 14, 35, 33), 'start_time': datetime.datetime(2013, 8, 29, 21, 28, 58), 'rate': 1, 'updated_at': datetime.datetime(2011, 12, 3, 16, 14, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '74d5b4f7-2cc2-4874-8ec2-23121dc85dd6', 'job_description': 'User-centric eco-centric local area network', 'start_date': datetime.datetime(2011, 4, 4, 2, 28, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 10, 4, 36, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 6, 15, 5, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea3b2e5d-1a54-4cae-b440-c753234b353e', 'end_date': datetime.datetime(2015, 2, 20, 0, 18, 8), 'start_time': datetime.datetime(2010, 6, 16, 11, 38, 26), 'rate': 4, 'updated_at': datetime.datetime(2016, 5, 24, 10, 36, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a9589675-29b8-445e-860a-741930d0c160', 'job_description': 'Re-engineered multi-state database', 'start_date': datetime.datetime(2014, 5, 30, 10, 25, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 4, 23, 18, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 28, 7, 57, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a6ac13cf-5ab2-429e-a60d-bd63c5839b1e', 'end_date': datetime.datetime(2016, 5, 16, 2, 56, 24), 'start_time': datetime.datetime(2011, 9, 16, 0, 53, 39), 'rate': 1, 'updated_at': datetime.datetime(2011, 7, 24, 1, 24, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '448c8e0a-1222-4f35-97c2-a687e9be6f62', 'job_description': 'Quality-focused scalable circuit', 'start_date': datetime.datetime(2015, 9, 25, 11, 35, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 3, 6, 51, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 8, 7, 18, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '68156053-8279-4661-8963-513c15f686c9', 'end_date': datetime.datetime(2012, 11, 4, 6, 55, 46), 'start_time': datetime.datetime(2019, 5, 30, 6, 11, 41), 'rate': 4, 'updated_at': datetime.datetime(2011, 11, 9, 21, 49, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8f3db905-f5a7-4651-8608-1b53c1ef516e', 'job_description': 'Horizontal multi-tasking software', 'start_date': datetime.datetime(2017, 3, 10, 20, 51, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 24, 20, 28, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 1, 5, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ed56075-f410-4e7a-90e3-8c21cfcbc33f', 'end_date': datetime.datetime(2016, 8, 23, 18, 20, 9), 'start_time': datetime.datetime(2013, 1, 8, 7, 49, 1), 'rate': 3, 'updated_at': datetime.datetime(2019, 2, 22, 10, 45, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Latvia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7bafc62b-c02c-42fc-87ff-ece7880ea098', 'job_description': 'Cross-platform holistic attitude', 'start_date': datetime.datetime(2019, 5, 29, 14, 31, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 8, 13, 40, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 3, 21, 38, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5ed952a2-c794-4756-922d-18f3f392280c', 'end_date': datetime.datetime(2019, 5, 17, 11, 1, 41), 'start_time': datetime.datetime(2010, 12, 24, 12, 17, 28), 'rate': 1, 'updated_at': datetime.datetime(2010, 12, 16, 12, 9, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e77dbaf-89c8-4a8b-b609-b888b1137709', 'job_description': 'Robust neutral productivity', 'start_date': datetime.datetime(2016, 6, 20, 18, 48, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 1, 21, 12, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 7, 11, 27, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0fc86e75-0a95-4407-820f-2043ba87734b', 'end_date': datetime.datetime(2014, 2, 20, 5, 56, 10), 'start_time': datetime.datetime(2010, 12, 5, 11, 21, 1), 'rate': 5, 'updated_at': datetime.datetime(2010, 3, 31, 7, 47, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4e8f1fa6-4367-41f5-a358-e0cc32476b5d', 'job_description': 'Robust maximized extranet', 'start_date': datetime.datetime(2011, 10, 31, 11, 21, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 7, 0, 47, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 22, 22, 3, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a68fc01e-f1f2-451d-ae62-2f54b2ee654c', 'end_date': datetime.datetime(2011, 2, 5, 19, 40, 9), 'start_time': datetime.datetime(2017, 8, 10, 11, 43, 13), 'rate': 3, 'updated_at': datetime.datetime(2019, 8, 24, 22, 37, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3bf768ac-7da0-4456-9e55-ec09e94615e0', 'job_description': 'Future-proofed actuating methodology', 'start_date': datetime.datetime(2010, 7, 2, 11, 34, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 9, 23, 23, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 2, 15, 14, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '701fbaaa-c3f2-4b9a-8237-412ae866ee3f', 'end_date': datetime.datetime(2011, 3, 8, 3, 11, 25), 'start_time': datetime.datetime(2017, 8, 6, 1, 25, 4), 'rate': 3, 'updated_at': datetime.datetime(2018, 9, 27, 16, 7, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bc0c15f4-2a3d-4747-8635-912e9aa862bc', 'job_description': 'Switchable scalable data-warehouse', 'start_date': datetime.datetime(2012, 6, 26, 16, 59, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 12, 19, 31, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 5, 6, 34, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '88b4036b-2d86-4491-8ef0-46ac75d228a1', 'end_date': datetime.datetime(2010, 8, 18, 2, 4, 41), 'start_time': datetime.datetime(2010, 7, 9, 3, 20, 2), 'rate': 4, 'updated_at': datetime.datetime(2013, 12, 28, 10, 5, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Japan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '26ee9377-86fe-487b-bd89-4854b83a8a57', 'job_description': 'Polarised zero administration definition', 'start_date': datetime.datetime(2010, 11, 14, 6, 57, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 10, 7, 32, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 30, 8, 52, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ceba1d6a-1f6d-4685-b15c-595fbeadeda1', 'end_date': datetime.datetime(2018, 3, 19, 7, 50, 34), 'start_time': datetime.datetime(2018, 8, 9, 21, 33, 24), 'rate': 2, 'updated_at': datetime.datetime(2013, 2, 22, 11, 21, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e25c9e1-22e3-40df-b810-48e2b85c71b6', 'job_description': 'Object-based heuristic superstructure', 'start_date': datetime.datetime(2012, 6, 27, 9, 46, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 4, 18, 41, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 7, 2, 47, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3938023b-f912-41ca-ae9a-bc82f6b30512', 'end_date': datetime.datetime(2010, 6, 3, 1, 31, 4), 'start_time': datetime.datetime(2015, 10, 12, 16, 14, 23), 'rate': 2, 'updated_at': datetime.datetime(2018, 12, 13, 8, 54, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1e0ad90b-4adc-4e41-afa7-ff299b875038', 'job_description': 'Multi-layered fault-tolerant benchmark', 'start_date': datetime.datetime(2017, 5, 11, 16, 32, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 18, 3, 32, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 18, 10, 0, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '08a938c8-844a-4426-ab46-c22f6f76cb69', 'end_date': datetime.datetime(2014, 4, 27, 12, 12, 48), 'start_time': datetime.datetime(2011, 9, 19, 18, 29, 42), 'rate': 2, 'updated_at': datetime.datetime(2012, 5, 23, 9, 41, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c658cec3-c68b-4aae-8513-791a463a3dd4', 'job_description': 'Managed motivating solution', 'start_date': datetime.datetime(2017, 10, 31, 12, 31, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 15, 1, 59, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 1, 8, 35, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e59f1632-35a9-4d82-844d-4c0a71a7081b', 'end_date': datetime.datetime(2017, 8, 10, 7, 38, 41), 'start_time': datetime.datetime(2010, 2, 28, 19, 53, 55), 'rate': 4, 'updated_at': datetime.datetime(2013, 11, 20, 16, 24, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eb199262-ac63-4613-a7f3-71f3bce57aef', 'job_description': 'Profound systematic internet solution', 'start_date': datetime.datetime(2017, 8, 1, 21, 28, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 15, 18, 44, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 22, 18, 19, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c3de14e9-706c-4b45-9e71-ac5316d5c36a', 'end_date': datetime.datetime(2017, 3, 24, 7, 29, 57), 'start_time': datetime.datetime(2018, 12, 27, 20, 34, 45), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 13, 15, 42, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd471b5c2-ef07-417f-aaea-3df9fa6deb42', 'job_description': 'Integrated motivating forecast', 'start_date': datetime.datetime(2019, 7, 10, 11, 19, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 5, 0, 45, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 12, 11, 52, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '137573f5-945d-441f-bcb0-a82c99f74da7', 'end_date': datetime.datetime(2018, 7, 17, 5, 26, 41), 'start_time': datetime.datetime(2018, 11, 17, 11, 6, 51), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 18, 9, 30, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Indonesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5124df40-263f-46a3-af3c-4c45c926d10c', 'job_description': 'Centralized bandwidth-monitored focus group', 'start_date': datetime.datetime(2016, 3, 13, 5, 14, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 13, 16, 7, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 18, 20, 19, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '315eaaae-a408-4be7-97c4-7fd4a4007b6b', 'end_date': datetime.datetime(2018, 12, 20, 2, 15, 31), 'start_time': datetime.datetime(2018, 9, 20, 1, 44, 58), 'rate': 1, 'updated_at': datetime.datetime(2016, 1, 19, 15, 9, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Gambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '56d3b2b2-9445-4f25-a953-82d623e3c13e', 'job_description': 'Grass-roots actuating help-desk', 'start_date': datetime.datetime(2019, 10, 29, 16, 34, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 26, 1, 53, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 19, 6, 26, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '285c9cf7-893e-426e-8a84-babd4cc949ac', 'end_date': datetime.datetime(2019, 8, 30, 13, 28, 39), 'start_time': datetime.datetime(2019, 4, 4, 5, 24, 18), 'rate': 5, 'updated_at': datetime.datetime(2013, 7, 6, 22, 21, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cdaef2c8-9b8f-4eb1-b0c4-cf061fe6db9f', 'job_description': 'Self-enabling next generation groupware', 'start_date': datetime.datetime(2016, 7, 1, 9, 7, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 24, 6, 6, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 3, 17, 56, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44301c15-e811-4e9b-89cb-2d611a800847', 'end_date': datetime.datetime(2013, 2, 18, 12, 33, 2), 'start_time': datetime.datetime(2015, 1, 22, 0, 45, 29), 'rate': 4, 'updated_at': datetime.datetime(2018, 6, 6, 22, 25, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '40c3b039-f3a2-4753-8daf-c07b3e51c1d9', 'job_description': 'Synergistic intangible toolset', 'start_date': datetime.datetime(2011, 9, 30, 12, 53, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 4, 20, 11, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 14, 11, 9, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '48a2fdcd-db9c-4b69-a2c3-685eaecb2a9a', 'end_date': datetime.datetime(2015, 8, 3, 4, 52, 2), 'start_time': datetime.datetime(2012, 7, 30, 6, 36, 43), 'rate': 4, 'updated_at': datetime.datetime(2010, 7, 11, 19, 47, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '40c363fc-1e90-4ef6-846b-83685104d26f', 'job_description': 'Phased 24/7 knowledge user', 'start_date': datetime.datetime(2014, 11, 4, 20, 41, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 21, 11, 55, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 10, 5, 49, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3edc38e7-2737-47fa-b157-86ae60a59e16', 'end_date': datetime.datetime(2010, 9, 18, 10, 51, 31), 'start_time': datetime.datetime(2017, 6, 3, 22, 0, 1), 'rate': 4, 'updated_at': datetime.datetime(2014, 12, 12, 8, 48, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2e0222cd-c3b6-44ce-b8c5-2392c93aeb20', 'job_description': 'Synchronised motivating customer loyalty', 'start_date': datetime.datetime(2012, 11, 21, 1, 42, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 10, 23, 21, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 18, 17, 2, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd6cc6d87-ee05-4b63-9a2f-8f2eb3131291', 'end_date': datetime.datetime(2013, 10, 5, 15, 55, 53), 'start_time': datetime.datetime(2013, 2, 25, 19, 3, 54), 'rate': 1, 'updated_at': datetime.datetime(2018, 6, 27, 12, 10, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9be361a2-01b6-49b2-8c66-d31b3d83a66e', 'job_description': 'Optional client-server throughput', 'start_date': datetime.datetime(2014, 5, 9, 7, 37, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 24, 7, 54, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 22, 8, 38, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1c8ed34e-983b-489f-964d-fe02ee6332dc', 'end_date': datetime.datetime(2017, 6, 23, 4, 21, 9), 'start_time': datetime.datetime(2015, 2, 5, 3, 54, 27), 'rate': 1, 'updated_at': datetime.datetime(2017, 10, 29, 10, 53, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '71b6d4b9-b80a-4670-8dcd-abe1a74e12eb', 'job_description': 'Implemented executive application', 'start_date': datetime.datetime(2011, 4, 16, 17, 16, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 22, 15, 15, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 29, 2, 28, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '14841607-61ce-4188-b526-eb2ad6ca3b33', 'end_date': datetime.datetime(2010, 3, 14, 21, 4, 37), 'start_time': datetime.datetime(2012, 4, 27, 21, 0, 24), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 24, 12, 56, 21), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0dd239e8-ab88-47c3-a481-f3489351df86', 'job_description': 'Open-architected well-modulated support', 'start_date': datetime.datetime(2013, 12, 21, 3, 39, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 26, 15, 32, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 21, 12, 33, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7c507ec7-5f30-4d7b-91d8-7dcfe6d74e7e', 'end_date': datetime.datetime(2018, 11, 1, 0, 58, 25), 'start_time': datetime.datetime(2014, 1, 13, 22, 38, 57), 'rate': 1, 'updated_at': datetime.datetime(2018, 1, 24, 22, 53, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd98da7ca-9937-488b-bb44-e86fd647500d', 'job_description': 'Secured zero defect approach', 'start_date': datetime.datetime(2017, 1, 11, 11, 35, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 10, 5, 53, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 4, 18, 14, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd63c473a-6b59-49bc-ba58-70351526aa78', 'end_date': datetime.datetime(2015, 5, 5, 13, 8, 3), 'start_time': datetime.datetime(2018, 10, 16, 15, 6, 3), 'rate': 5, 'updated_at': datetime.datetime(2016, 7, 4, 22, 25, 52), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '638af27b-3e0e-480b-9614-1d0caa353f1b', 'job_description': 'Synchronised bifurcated throughput', 'start_date': datetime.datetime(2011, 5, 5, 5, 35, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 23, 7, 7, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 2, 9, 17, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '837c7687-5c3c-481f-866a-5c0f5fc9e717', 'end_date': datetime.datetime(2018, 3, 18, 8, 30, 20), 'start_time': datetime.datetime(2011, 2, 7, 11, 28, 22), 'rate': 5, 'updated_at': datetime.datetime(2012, 2, 17, 19, 20, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Andorra', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cc167dd5-4a47-4eba-aecf-cb44e3c8ebae', 'job_description': 'Ergonomic explicit interface', 'start_date': datetime.datetime(2012, 7, 1, 20, 24, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 11, 20, 38, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 18, 18, 39, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc8f6df7-7e6a-4fcd-8b4e-b13a215bcf18', 'end_date': datetime.datetime(2013, 1, 16, 23, 43, 14), 'start_time': datetime.datetime(2012, 10, 21, 14, 51, 42), 'rate': 4, 'updated_at': datetime.datetime(2015, 4, 16, 4, 57, 47), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8741ed5b-53b2-47a8-a930-4b3ec96bac1d', 'job_description': 'Right-sized bi-directional customer loyalty', 'start_date': datetime.datetime(2013, 11, 5, 16, 52, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 10, 16, 15, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 17, 19, 40, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a28126e7-7e81-4686-9438-8a00603d4f99', 'end_date': datetime.datetime(2016, 4, 11, 10, 26, 24), 'start_time': datetime.datetime(2012, 1, 11, 10, 16, 55), 'rate': 1, 'updated_at': datetime.datetime(2011, 8, 7, 19, 38, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3b6df641-edda-48f8-bc36-cdb5020d46a1', 'job_description': 'Ergonomic non-volatile flexibility', 'start_date': datetime.datetime(2010, 12, 4, 19, 58, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 7, 21, 17, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 29, 17, 55, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a2faa272-7cc8-4428-83e7-64821f0762e6', 'end_date': datetime.datetime(2016, 1, 26, 13, 17, 54), 'start_time': datetime.datetime(2011, 2, 16, 19, 42, 17), 'rate': 2, 'updated_at': datetime.datetime(2015, 11, 11, 5, 39, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7b29e49f-a1d6-4b6f-9eef-134fa25a29b6', 'job_description': 'Up-sized zero tolerance Graphic Interface', 'start_date': datetime.datetime(2013, 2, 26, 19, 48, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 6, 22, 41, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 12, 16, 57, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b4e3a79e-4ea3-43a6-8650-ff69930182a9', 'end_date': datetime.datetime(2018, 12, 8, 10, 26, 59), 'start_time': datetime.datetime(2015, 4, 26, 17, 48, 46), 'rate': 1, 'updated_at': datetime.datetime(2013, 3, 19, 13, 10, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '13518511-13a2-4ae8-ae26-7f7665ad633b', 'job_description': 'Configurable 3rd generation policy', 'start_date': datetime.datetime(2017, 4, 24, 15, 35, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 8, 10, 12, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 19, 20, 56, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7d98bbc0-9af8-4c7a-8b7c-8a7deec135ab', 'end_date': datetime.datetime(2018, 6, 17, 2, 39, 14), 'start_time': datetime.datetime(2014, 9, 3, 3, 49, 54), 'rate': 5, 'updated_at': datetime.datetime(2013, 5, 2, 9, 19, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Antigua and Barbuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a9fb8431-b093-457b-9f6c-fdc96eb8eebe', 'job_description': 'Sharable methodical info-mediaries', 'start_date': datetime.datetime(2012, 7, 12, 11, 6, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 17, 0, 59, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 30, 5, 46, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0ecca426-e5ff-4422-a8e9-9c8e6c3ee506', 'end_date': datetime.datetime(2018, 9, 19, 15, 45, 40), 'start_time': datetime.datetime(2010, 12, 17, 0, 23, 9), 'rate': 4, 'updated_at': datetime.datetime(2013, 7, 1, 21, 8, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2642e6f8-4275-4964-be10-99cb1013bb9c', 'job_description': 'Open-architected assymetric moratorium', 'start_date': datetime.datetime(2019, 11, 29, 18, 37, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 12, 6, 48, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 10, 7, 48, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '12a31950-67a0-4f90-b041-8d7950e0ef81', 'end_date': datetime.datetime(2012, 8, 3, 19, 11, 32), 'start_time': datetime.datetime(2014, 1, 21, 14, 37, 4), 'rate': 3, 'updated_at': datetime.datetime(2019, 1, 20, 23, 27, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
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{'_id': '5dd0172a-5527-48b9-a955-ffed105b0255', 'job_description': 'Right-sized composite benchmark', 'start_date': datetime.datetime(2012, 12, 11, 10, 38, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 27, 17, 42, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 31, 6, 48, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e154f165-426b-4854-b5a9-61dae36aa870', 'end_date': datetime.datetime(2013, 8, 1, 9, 5, 37), 'start_time': datetime.datetime(2014, 6, 28, 2, 35, 3), 'rate': 1, 'updated_at': datetime.datetime(2010, 3, 2, 10, 27, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5303901e-1825-43c2-9913-9221a05f01d0', 'job_description': 'Cross-platform actuating attitude', 'start_date': datetime.datetime(2011, 9, 2, 0, 5, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 2, 22, 34, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 14, 12, 37, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '31155ce6-a53b-44ba-879b-97ab6bfa2521', 'end_date': datetime.datetime(2012, 6, 28, 13, 28, 48), 'start_time': datetime.datetime(2014, 12, 31, 3, 12, 26), 'rate': 5, 'updated_at': datetime.datetime(2012, 8, 14, 7, 18, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ecb567f-c5d3-408b-a3d4-e632296e760c', 'job_description': 'Horizontal hybrid architecture', 'start_date': datetime.datetime(2019, 4, 8, 19, 20, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 30, 10, 5, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 29, 20, 20, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '10376d78-c46a-4d9c-8de5-93d5876d1fb0', 'end_date': datetime.datetime(2015, 6, 29, 19, 26, 14), 'start_time': datetime.datetime(2014, 10, 29, 9, 18, 47), 'rate': 4, 'updated_at': datetime.datetime(2011, 9, 9, 9, 59, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c4353a69-dcca-4b20-8509-fcdf33357ed8', 'job_description': 'Optimized needs-based matrices', 'start_date': datetime.datetime(2016, 11, 13, 0, 3, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 24, 14, 52, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 6, 5, 20, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1fb88c68-09cf-4b65-ae66-23ba482ccbec', 'end_date': datetime.datetime(2018, 9, 21, 9, 32, 12), 'start_time': datetime.datetime(2018, 12, 22, 21, 15, 16), 'rate': 2, 'updated_at': datetime.datetime(2013, 4, 20, 1, 30, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
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{'_id': '0bb69f13-4090-43c3-b63f-d9fe765199ed', 'job_description': 'Decentralized logistical interface', 'start_date': datetime.datetime(2017, 8, 2, 16, 12, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 22, 12, 28, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 23, 3, 11, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '249a72e8-423f-491c-9401-058bdf939f4e', 'end_date': datetime.datetime(2012, 7, 13, 2, 25, 7), 'start_time': datetime.datetime(2013, 7, 19, 13, 52, 6), 'rate': 1, 'updated_at': datetime.datetime(2015, 3, 8, 5, 47, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Afghanistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '04cce9bd-e203-4934-9eb4-9afe0980b27b', 'job_description': 'Automated optimal encoding', 'start_date': datetime.datetime(2010, 10, 4, 20, 2, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 3, 21, 35, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 14, 19, 53, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4cf89b45-9a9a-49c2-9bee-2df86fa940e5', 'end_date': datetime.datetime(2014, 7, 11, 18, 47, 51), 'start_time': datetime.datetime(2014, 9, 12, 14, 0, 31), 'rate': 4, 'updated_at': datetime.datetime(2016, 5, 12, 2, 6, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '177c6fea-dc05-40c0-b756-d3303bcb55d0', 'job_description': 'Monitored context-sensitive success', 'start_date': datetime.datetime(2011, 7, 1, 13, 30, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 30, 11, 33, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 21, 9, 47, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fa481ddf-0026-432f-99d0-f4de4641d3d1', 'end_date': datetime.datetime(2013, 8, 17, 14, 24, 38), 'start_time': datetime.datetime(2016, 11, 3, 11, 11, 25), 'rate': 2, 'updated_at': datetime.datetime(2012, 11, 27, 10, 14, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Liberia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c6926613-c1af-4cc1-9444-76c733968f49', 'job_description': 'Balanced assymetric productivity', 'start_date': datetime.datetime(2014, 8, 13, 23, 11, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 11, 0, 44, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 22, 21, 58, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4a9c5db0-8f91-4ac2-a616-cf6a8825d759', 'end_date': datetime.datetime(2017, 7, 25, 19, 52, 59), 'start_time': datetime.datetime(2016, 10, 30, 22, 57, 21), 'rate': 1, 'updated_at': datetime.datetime(2019, 4, 19, 15, 10, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a2b6ccda-c2d8-4702-a4f7-f631bb26cfe9', 'job_description': 'Networked optimal middleware', 'start_date': datetime.datetime(2014, 6, 4, 10, 42, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 26, 10, 34, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 13, 14, 30, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f80e907-306a-44ce-a8c5-db5d849c2600', 'end_date': datetime.datetime(2017, 4, 25, 9, 0, 21), 'start_time': datetime.datetime(2017, 4, 10, 6, 19, 25), 'rate': 3, 'updated_at': datetime.datetime(2014, 9, 7, 6, 21, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3830a884-44af-4d29-88d7-ce3388fb3bc3', 'job_description': 'Switchable solution-oriented methodology', 'start_date': datetime.datetime(2019, 10, 2, 13, 25, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 10, 17, 33, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 16, 20, 17, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3a262464-7016-4e3b-b6a3-58427702240e', 'end_date': datetime.datetime(2015, 6, 18, 5, 15), 'start_time': datetime.datetime(2014, 11, 23, 21, 28, 28), 'rate': 2, 'updated_at': datetime.datetime(2011, 2, 23, 16, 51, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2c8ded3b-e7b3-40bc-b8eb-fd70f2624f9b', 'job_description': 'Universal fresh-thinking conglomeration', 'start_date': datetime.datetime(2015, 1, 8, 21, 22, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 4, 11, 15, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 7, 8, 56, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd41562a5-2bd9-42f8-a7c1-065dac52956e', 'end_date': datetime.datetime(2017, 9, 14, 6, 47, 47), 'start_time': datetime.datetime(2010, 10, 4, 10, 31, 42), 'rate': 4, 'updated_at': datetime.datetime(2019, 1, 19, 21, 19, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eb762052-0328-4a72-ac9f-5f644737d233', 'job_description': 'Enterprise-wide assymetric protocol', 'start_date': datetime.datetime(2016, 6, 13, 20, 27, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 29, 22, 21, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 5, 4, 18, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd4388fe8-bc32-4a6a-8e0e-b7d1cdda9b98', 'end_date': datetime.datetime(2012, 7, 15, 15, 11, 41), 'start_time': datetime.datetime(2011, 6, 6, 9, 0, 53), 'rate': 1, 'updated_at': datetime.datetime(2017, 8, 31, 18, 53, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '64e629e9-6661-4541-83a9-8837a9019ed3', 'job_description': 'Synergistic explicit matrix', 'start_date': datetime.datetime(2019, 7, 3, 22, 2, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 8, 10, 28, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 21, 19, 24, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f98d4c2d-086e-47e7-a379-c9604a8f16cb', 'end_date': datetime.datetime(2011, 9, 2, 13, 49, 7), 'start_time': datetime.datetime(2014, 4, 10, 8, 27, 33), 'rate': 5, 'updated_at': datetime.datetime(2015, 8, 12, 6, 24, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Mozambique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e9ece5c8-3988-4ce1-8b35-461039764627', 'job_description': 'Digitized local forecast', 'start_date': datetime.datetime(2010, 5, 14, 11, 30, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 20, 21, 57, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 22, 16, 17, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc7cc08d-4331-46d3-ad75-d1a14e8648a9', 'end_date': datetime.datetime(2013, 9, 24, 14, 52, 39), 'start_time': datetime.datetime(2015, 12, 30, 18, 31, 7), 'rate': 4, 'updated_at': datetime.datetime(2011, 12, 7, 12, 21, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '37d57c8b-5887-435f-a340-ec905a0ceb16', 'job_description': 'Implemented empowering intranet', 'start_date': datetime.datetime(2019, 11, 1, 16, 26, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 23, 21, 53, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 15, 23, 17, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'db63c255-1eb4-4208-98f1-f45143b9ccb3', 'end_date': datetime.datetime(2012, 8, 29, 3, 57, 41), 'start_time': datetime.datetime(2014, 4, 10, 0, 47, 20), 'rate': 2, 'updated_at': datetime.datetime(2019, 2, 28, 10, 53, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ea01d50-4c14-4a23-974b-8d1c67ec8857', 'job_description': 'Object-based systemic initiative', 'start_date': datetime.datetime(2016, 10, 14, 1, 59, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 17, 1, 26, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 15, 10, 26, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bec5d815-77ff-4481-82a6-2c7de085c92d', 'end_date': datetime.datetime(2011, 3, 7, 14, 35, 11), 'start_time': datetime.datetime(2015, 11, 13, 1, 17, 4), 'rate': 1, 'updated_at': datetime.datetime(2019, 9, 10, 15, 11, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '53a30516-909a-458c-b2b2-2df2022b6833', 'job_description': 'Sharable grid-enabled methodology', 'start_date': datetime.datetime(2012, 8, 15, 11, 15, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 1, 1, 11, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 26, 5, 3, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3ea37028-33c3-4a63-82e6-2c8d82831f99', 'end_date': datetime.datetime(2014, 4, 11, 2, 20, 29), 'start_time': datetime.datetime(2014, 2, 9, 22, 30, 18), 'rate': 3, 'updated_at': datetime.datetime(2010, 6, 10, 17, 43, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f8672f55-da43-4a97-ba8e-7267f9a5c7c5', 'job_description': 'Distributed system-worthy challenge', 'start_date': datetime.datetime(2019, 2, 25, 9, 0, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 10, 21, 59, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 8, 8, 12, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e07935e-eb8d-4ea4-9d7f-d24b2bd5c1d1', 'end_date': datetime.datetime(2018, 7, 7, 13, 8, 39), 'start_time': datetime.datetime(2012, 12, 10, 15, 21, 46), 'rate': 3, 'updated_at': datetime.datetime(2013, 3, 27, 4, 39, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '585bb6b7-dbcf-47b2-8ce5-54fffc17afe0', 'job_description': 'Advanced reciprocal productivity', 'start_date': datetime.datetime(2018, 1, 24, 17, 50, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 7, 7, 31, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 20, 8, 47, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb73d109-117e-464d-af09-64581d91acf7', 'end_date': datetime.datetime(2013, 6, 7, 16, 8, 56), 'start_time': datetime.datetime(2012, 9, 26, 20, 30, 19), 'rate': 1, 'updated_at': datetime.datetime(2011, 5, 18, 22, 18, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2f8285f5-43b6-4325-a270-3a404976f39b', 'job_description': 'Down-sized zero administration implementation', 'start_date': datetime.datetime(2011, 8, 28, 17, 56, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 10, 13, 50, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 3, 3, 52, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b40ccbe5-62de-4472-9c99-4dfd89e562ef', 'end_date': datetime.datetime(2012, 9, 19, 7, 54, 23), 'start_time': datetime.datetime(2015, 1, 17, 19, 7, 47), 'rate': 5, 'updated_at': datetime.datetime(2014, 4, 13, 13, 17, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'da22c4d6-ac9e-474c-ba2d-1f920fafdde9', 'job_description': 'Cross-platform stable conglomeration', 'start_date': datetime.datetime(2013, 3, 6, 15, 31, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 22, 19, 23, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 24, 0, 33, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c66fb077-57e8-4e34-9f0c-d024ff2b9748', 'end_date': datetime.datetime(2017, 12, 3, 19, 0, 49), 'start_time': datetime.datetime(2019, 7, 2, 1, 46, 31), 'rate': 4, 'updated_at': datetime.datetime(2016, 8, 20, 13, 13, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '83680004-29be-41ae-b090-54ea48dc25b2', 'job_description': 'Cross-group zero tolerance throughput', 'start_date': datetime.datetime(2014, 4, 27, 23, 24, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 12, 9, 55, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 13, 13, 56, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '606f465e-d2ce-4cb1-a224-321862a140c1', 'end_date': datetime.datetime(2014, 7, 19, 15, 15, 59), 'start_time': datetime.datetime(2014, 10, 22, 14, 59, 44), 'rate': 5, 'updated_at': datetime.datetime(2018, 3, 2, 0, 29, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3961d697-56b1-402a-a273-7e968014c4a1', 'job_description': 'Sharable modular open architecture', 'start_date': datetime.datetime(2016, 4, 20, 7, 50, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 5, 0, 24, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 9, 18, 12, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '39f0d659-76ee-44b4-a73a-edc6ed11ec09', 'end_date': datetime.datetime(2018, 6, 27, 2, 21, 59), 'start_time': datetime.datetime(2018, 12, 15, 8, 9, 22), 'rate': 3, 'updated_at': datetime.datetime(2016, 12, 17, 15, 56, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Bhutan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1247b598-4e8b-4f6f-aea1-f8c6a6c6a0d1', 'job_description': 'Robust client-server emulation', 'start_date': datetime.datetime(2019, 7, 29, 14, 55, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 20, 12, 5, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 29, 6, 45, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '73aff41b-e9a9-44b9-b186-85049fb677eb', 'end_date': datetime.datetime(2012, 5, 2, 20, 4, 4), 'start_time': datetime.datetime(2017, 11, 10, 11, 12, 50), 'rate': 1, 'updated_at': datetime.datetime(2012, 10, 29, 7, 38, 41), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '06dd7082-9107-4bbc-96c7-c128f41b9885', 'job_description': 'Universal solution-oriented protocol', 'start_date': datetime.datetime(2014, 10, 29, 15, 18, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 5, 22, 10, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 15, 20, 2, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '62a5fddf-9f79-48b2-9243-7db8dd8522d9', 'end_date': datetime.datetime(2011, 1, 11, 1, 59, 13), 'start_time': datetime.datetime(2018, 10, 27, 9, 4, 59), 'rate': 4, 'updated_at': datetime.datetime(2012, 8, 12, 16, 43, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
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{'_id': 'f1dc208b-e4bf-4560-8a1d-f0a69cd73969', 'job_description': 'Realigned executive productivity', 'start_date': datetime.datetime(2017, 2, 14, 13, 38, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 5, 1, 33, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 29, 17, 28, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5c97e64e-28d6-423f-a708-a6811269bab5', 'end_date': datetime.datetime(2012, 9, 16, 15, 48, 26), 'start_time': datetime.datetime(2017, 11, 1, 5, 28, 7), 'rate': 2, 'updated_at': datetime.datetime(2014, 2, 4, 7, 41, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
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{'_id': '28584d7a-baf8-4702-b7fa-f2b84dfbb38a', 'job_description': 'Robust non-volatile implementation', 'start_date': datetime.datetime(2014, 7, 22, 1, 53, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 3, 14, 42, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 8, 1, 3, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d389814-e3d1-4254-a119-3834b8e97305', 'end_date': datetime.datetime(2019, 2, 1, 15, 55, 13), 'start_time': datetime.datetime(2016, 8, 30, 4, 15, 24), 'rate': 5, 'updated_at': datetime.datetime(2015, 3, 7, 9, 0, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
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{'_id': 'a389316b-7415-4a8b-a2c1-c24e63234e5d', 'job_description': 'Team-oriented needs-based Graphic Interface', 'start_date': datetime.datetime(2011, 11, 1, 1, 7, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 15, 10, 22, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 27, 10, 3, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '17057f8c-bdfb-4867-99f6-f94c6346f9ea', 'end_date': datetime.datetime(2018, 6, 22, 20, 55, 37), 'start_time': datetime.datetime(2014, 6, 4, 20, 52, 9), 'rate': 1, 'updated_at': datetime.datetime(2013, 10, 25, 6, 27, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
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{'_id': '7bb70485-1132-4008-b25c-fd9cfa5d1b81', 'job_description': 'Cross-platform asynchronous open system', 'start_date': datetime.datetime(2013, 11, 29, 13, 52, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 25, 21, 10, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 22, 16, 38, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '181543a4-b66b-4441-af86-5b0eaf85cbdf', 'end_date': datetime.datetime(2012, 2, 3, 22, 5, 37), 'start_time': datetime.datetime(2018, 12, 1, 0, 7, 57), 'rate': 3, 'updated_at': datetime.datetime(2014, 8, 2, 10, 50, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': '2db6b39e-719e-4384-a674-4139fdeb53ee', 'job_description': 'Right-sized multi-state customer loyalty', 'start_date': datetime.datetime(2016, 6, 13, 18, 59, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 17, 17, 4, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 29, 20, 4, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f4030581-a83d-44ae-b0b0-ccf120abd397', 'end_date': datetime.datetime(2012, 2, 18, 21, 52, 48), 'start_time': datetime.datetime(2010, 12, 24, 22, 6, 56), 'rate': 3, 'updated_at': datetime.datetime(2013, 3, 6, 11, 53, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': '34b884e8-0d8b-4a2b-8718-4e5c18faa79f', 'job_description': 'Business-focused bottom-line standardization', 'start_date': datetime.datetime(2013, 8, 24, 8, 37, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 12, 5, 23, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 4, 21, 7, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b63229a7-e6ae-4de4-9630-5d2a1adf640a', 'end_date': datetime.datetime(2010, 1, 31, 4, 23, 24), 'start_time': datetime.datetime(2014, 1, 26, 1, 6, 52), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 4, 13, 4, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Jersey', 'special_note': 'thanks'}
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{'_id': '68d9ca37-689a-431a-a8fa-d449879c9179', 'job_description': 'Monitored zero defect superstructure', 'start_date': datetime.datetime(2016, 2, 15, 17, 11, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 4, 5, 53, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 2, 1, 3, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '39827462-e44b-4bb2-8e05-65900d461cbf', 'end_date': datetime.datetime(2016, 9, 23, 19, 11, 35), 'start_time': datetime.datetime(2014, 7, 17, 8, 56, 23), 'rate': 4, 'updated_at': datetime.datetime(2016, 9, 14, 9, 53, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Netherlands', 'special_note': 'thanks'}
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{'_id': 'f672e16c-8341-474a-9990-e486dfc2163b', 'job_description': 'Focused optimal success', 'start_date': datetime.datetime(2019, 7, 23, 13, 44, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 4, 22, 22, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 8, 16, 10, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3bc74e5d-1f24-49af-9f33-ed48321fa0bb', 'end_date': datetime.datetime(2011, 2, 22, 17, 11, 53), 'start_time': datetime.datetime(2016, 1, 23, 4, 30, 42), 'rate': 2, 'updated_at': datetime.datetime(2019, 2, 4, 2, 7, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
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{'_id': 'a03eba86-c7d9-4be7-95da-5d33e73770b2', 'job_description': 'Cross-group mission-critical standardization', 'start_date': datetime.datetime(2012, 8, 31, 2, 27, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 14, 5, 25, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 5, 23, 38, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c9648842-7681-4921-8f77-182a8f778229', 'end_date': datetime.datetime(2015, 1, 12, 20, 52, 48), 'start_time': datetime.datetime(2013, 5, 25, 21, 48, 55), 'rate': 1, 'updated_at': datetime.datetime(2010, 2, 21, 15, 7, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '28975645-f820-4294-88e8-ec92f1168d07', 'job_description': 'Re-contextualized methodical collaboration', 'start_date': datetime.datetime(2011, 12, 26, 12, 32, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 6, 1, 48, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 17, 17, 32, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b43e487-7366-4275-8d39-4167c5b9b714', 'end_date': datetime.datetime(2011, 11, 8, 6, 42, 57), 'start_time': datetime.datetime(2015, 5, 25, 20, 25, 58), 'rate': 5, 'updated_at': datetime.datetime(2010, 5, 16, 11, 15, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': '3a235342-2aac-4b55-a07f-52ddfc2a9dd8', 'job_description': 'Advanced tangible benchmark', 'start_date': datetime.datetime(2013, 11, 11, 15, 48, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 6, 4, 27, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 20, 11, 53, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd3b1ac85-5907-4ff3-85dc-0f9b2cd2c802', 'end_date': datetime.datetime(2015, 3, 1, 16, 21, 40), 'start_time': datetime.datetime(2015, 8, 30, 0, 33, 50), 'rate': 4, 'updated_at': datetime.datetime(2015, 9, 26, 1, 30, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Argentina', 'special_note': 'thanks'}
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{'_id': 'f4e4e53b-87a7-4c67-957e-988ba19af2c3', 'job_description': 'Balanced client-driven workforce', 'start_date': datetime.datetime(2010, 8, 16, 14, 25, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 27, 0, 41, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 21, 19, 59, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bcbeeaa9-923b-4471-b716-345917e76977', 'end_date': datetime.datetime(2011, 1, 20, 12, 19, 32), 'start_time': datetime.datetime(2019, 10, 1, 18, 3, 42), 'rate': 2, 'updated_at': datetime.datetime(2016, 12, 30, 23, 4, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
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{'_id': 'fe9fae70-54f3-45ee-824f-9ad90c84d2c9', 'job_description': 'Pre-emptive methodical hierarchy', 'start_date': datetime.datetime(2012, 3, 25, 22, 16, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 8, 9, 12, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 6, 2, 18, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6d2166bf-1769-4ec0-a726-e41168a6480a', 'end_date': datetime.datetime(2016, 11, 1, 8, 43, 12), 'start_time': datetime.datetime(2018, 8, 24, 18, 48, 22), 'rate': 4, 'updated_at': datetime.datetime(2017, 7, 11, 7, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
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{'_id': '4d19cd2f-88c1-41ff-a8e6-e32a016af694', 'job_description': 'Virtual reciprocal firmware', 'start_date': datetime.datetime(2011, 11, 4, 13, 43, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 19, 3, 40, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 27, 12, 28, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6abb049a-c3df-4624-b3ba-522466b588b9', 'end_date': datetime.datetime(2012, 12, 3, 0, 16, 21), 'start_time': datetime.datetime(2019, 3, 21, 10, 39, 20), 'rate': 4, 'updated_at': datetime.datetime(2015, 12, 19, 19, 45, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
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{'_id': 'b923b22c-134d-410c-be9a-f9b9798ba23f', 'job_description': 'Fully-configurable cohesive definition', 'start_date': datetime.datetime(2011, 11, 28, 10, 15, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 10, 19, 56, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 12, 21, 41, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc485ee9-81e7-45ea-a2c0-98f7cb90fbb4', 'end_date': datetime.datetime(2017, 3, 20, 6, 37, 32), 'start_time': datetime.datetime(2019, 2, 1, 3, 33, 52), 'rate': 2, 'updated_at': datetime.datetime(2014, 10, 13, 6, 20, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
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{'_id': '382f9e9c-afd9-4cf7-bd8d-13e42bd4052f', 'job_description': 'Multi-layered clear-thinking array', 'start_date': datetime.datetime(2017, 9, 7, 0, 7, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 30, 3, 38, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 28, 5, 27, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4c1c9bf0-1c21-41c6-915d-fb5203c17641', 'end_date': datetime.datetime(2011, 1, 11, 23, 11, 35), 'start_time': datetime.datetime(2015, 12, 16, 4, 11, 28), 'rate': 2, 'updated_at': datetime.datetime(2019, 8, 11, 11, 11, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': 'd1630262-55a0-408b-b6d5-ad646d550a42', 'job_description': 'Ameliorated executive capacity', 'start_date': datetime.datetime(2013, 9, 8, 18, 29, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 16, 6, 47, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 24, 21, 2, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '67867469-c1a7-4dd5-92d8-670cdd8e6120', 'end_date': datetime.datetime(2012, 11, 9, 8, 7, 50), 'start_time': datetime.datetime(2013, 3, 5, 15, 3, 31), 'rate': 4, 'updated_at': datetime.datetime(2012, 4, 6, 19, 16, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bcb1467c-9fe8-4324-ae31-74fc5693876c', 'job_description': 'Secured interactive monitoring', 'start_date': datetime.datetime(2015, 2, 28, 13, 25, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 27, 11, 58, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 25, 20, 35, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '75394ff9-30fc-4fe1-8a1a-fc996ecfd20f', 'end_date': datetime.datetime(2011, 2, 21, 21, 19, 35), 'start_time': datetime.datetime(2018, 6, 9, 23, 4, 20), 'rate': 3, 'updated_at': datetime.datetime(2014, 12, 8, 21, 32, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '722866df-3cc7-4d9d-82d6-8bb7cb2360b0', 'job_description': 'Universal 5th generation policy', 'start_date': datetime.datetime(2016, 12, 9, 19, 15, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 9, 16, 39, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 10, 0, 15, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '660d6f44-ab6d-4021-b180-d9247c78a7c6', 'end_date': datetime.datetime(2019, 5, 31, 19, 15, 11), 'start_time': datetime.datetime(2013, 6, 6, 13, 25), 'rate': 1, 'updated_at': datetime.datetime(2015, 10, 3, 10, 8, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b0c05f11-31b1-4924-87d5-f7a72f533268', 'job_description': 'Synergized bottom-line monitoring', 'start_date': datetime.datetime(2017, 6, 18, 10, 15, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 12, 3, 40, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 9, 3, 29, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0bc1bfff-08b4-4bb4-ba41-ab12df4d3ef5', 'end_date': datetime.datetime(2016, 11, 12, 10, 28, 23), 'start_time': datetime.datetime(2017, 8, 21, 13, 59, 14), 'rate': 3, 'updated_at': datetime.datetime(2018, 7, 14, 5, 2, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '74cc88bd-1fea-4627-8cf7-092aa5fbd1d6', 'job_description': 'Innovative system-worthy challenge', 'start_date': datetime.datetime(2010, 10, 7, 19, 33, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 25, 7, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 28, 2, 55, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c89126c8-ce27-4b9e-a5ea-361de6ba43a3', 'end_date': datetime.datetime(2014, 7, 2, 0, 49, 42), 'start_time': datetime.datetime(2019, 9, 15, 15, 42, 33), 'rate': 4, 'updated_at': datetime.datetime(2012, 1, 20, 4, 59, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f477cafc-dc52-4e47-b4b6-fcda78319567', 'job_description': 'Proactive next generation array', 'start_date': datetime.datetime(2016, 2, 9, 21, 43, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 5, 8, 47, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 30, 5, 14, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7e4a6740-44a0-4263-bf8f-d5fea81d8962', 'end_date': datetime.datetime(2017, 1, 23, 8, 34, 54), 'start_time': datetime.datetime(2017, 12, 11, 8, 8, 50), 'rate': 4, 'updated_at': datetime.datetime(2012, 10, 23, 17, 51, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '08eaf35c-3d84-49b3-9a05-e0ecd2da675d', 'job_description': 'Reverse-engineered directional Graphic Interface', 'start_date': datetime.datetime(2013, 6, 15, 6, 46, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 21, 22, 21, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 15, 5, 33, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '320bf2f0-4760-403a-9a75-43c60ce82550', 'end_date': datetime.datetime(2017, 11, 29, 4, 6, 55), 'start_time': datetime.datetime(2015, 2, 17, 16, 47, 25), 'rate': 4, 'updated_at': datetime.datetime(2014, 5, 9, 3, 56, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'df9c9c0f-45ce-416c-8586-30ca2ed29fff', 'job_description': 'Triple-buffered impactful leverage', 'start_date': datetime.datetime(2013, 9, 23, 0, 43, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 28, 14, 52, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 20, 19, 25, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bad5a64b-deb2-4c46-a725-cf90a1d4aa71', 'end_date': datetime.datetime(2016, 3, 11, 9, 53, 51), 'start_time': datetime.datetime(2014, 3, 30, 2, 38, 41), 'rate': 3, 'updated_at': datetime.datetime(2019, 7, 12, 5, 37, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cdc6e1de-5db7-4c6e-b264-ac7e18844ba1', 'job_description': 'Customizable bifurcated approach', 'start_date': datetime.datetime(2012, 11, 24, 1, 19, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 3, 12, 59, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 27, 15, 43, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '86dd4447-b017-44a0-abf5-9a6b40444f44', 'end_date': datetime.datetime(2015, 7, 11, 21, 11, 28), 'start_time': datetime.datetime(2019, 3, 3, 0, 30, 33), 'rate': 3, 'updated_at': datetime.datetime(2013, 9, 22, 2, 39, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1c65ad49-0aa5-48f0-b203-942febe3ce70', 'job_description': 'Switchable bi-directional help-desk', 'start_date': datetime.datetime(2018, 1, 19, 20, 31, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 1, 22, 35, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 25, 20, 21, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '89d4db3b-8c0e-4343-9ed6-777567ae16b9', 'end_date': datetime.datetime(2012, 1, 11, 19, 51, 25), 'start_time': datetime.datetime(2014, 6, 1, 18, 59, 33), 'rate': 4, 'updated_at': datetime.datetime(2015, 7, 22, 2, 48, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e6f949c7-e18b-4c3a-8368-ee08c7c2a57c', 'job_description': 'Face to face global firmware', 'start_date': datetime.datetime(2018, 9, 17, 4, 53, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 24, 7, 45, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 20, 18, 33, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cb39c097-89ff-479b-aa9d-abad762f5813', 'end_date': datetime.datetime(2019, 4, 13, 0, 29, 56), 'start_time': datetime.datetime(2016, 3, 5, 5, 42, 41), 'rate': 2, 'updated_at': datetime.datetime(2018, 12, 9, 20, 19, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '160ffffb-a328-492b-88f7-24be40bbfc46', 'job_description': 'Open-architected value-added focus group', 'start_date': datetime.datetime(2018, 11, 24, 0, 46, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 21, 17, 25, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 10, 14, 41, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '16df89f8-920e-464c-80d6-5d474ce238d7', 'end_date': datetime.datetime(2016, 8, 3, 7, 25, 37), 'start_time': datetime.datetime(2014, 1, 29, 7, 7, 29), 'rate': 5, 'updated_at': datetime.datetime(2014, 8, 5, 16, 54, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1a5768a4-690e-45e4-a5de-6df6eccde109', 'job_description': 'Synergistic global product', 'start_date': datetime.datetime(2019, 11, 26, 13, 33, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 1, 9, 25, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 21, 16, 50, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '63975f01-f867-4ee8-bd19-a6b5c3fa08c6', 'end_date': datetime.datetime(2016, 6, 10, 5, 43, 5), 'start_time': datetime.datetime(2011, 4, 8, 19, 29, 4), 'rate': 1, 'updated_at': datetime.datetime(2014, 4, 25, 22, 20, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4389b4fb-0b76-4d0d-9d33-79e71011068d', 'job_description': 'Persistent 4th generation challenge', 'start_date': datetime.datetime(2016, 9, 18, 10, 30, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 23, 8, 17, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 20, 15, 51, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '835c5aa5-d3aa-4e11-83dc-dbd3669c134d', 'end_date': datetime.datetime(2016, 10, 19, 4, 9, 20), 'start_time': datetime.datetime(2016, 2, 28, 10, 54, 5), 'rate': 2, 'updated_at': datetime.datetime(2017, 2, 18, 14, 34, 41), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2d553c32-49b3-424d-ba29-57fce591e79c', 'job_description': 'Re-contextualized well-modulated Graphical User Interface', 'start_date': datetime.datetime(2014, 2, 22, 1, 3, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 6, 0, 59, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 27, 11, 59, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '759b7484-7aca-4e24-9c13-37d44b70c55e', 'end_date': datetime.datetime(2019, 2, 4, 13, 49, 37), 'start_time': datetime.datetime(2010, 6, 19, 9, 36, 8), 'rate': 2, 'updated_at': datetime.datetime(2010, 3, 30, 11, 36, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a3986c28-75d9-4d25-a793-0c176c1aa2cc', 'job_description': 'Multi-channelled responsive open architecture', 'start_date': datetime.datetime(2013, 6, 24, 11, 10, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 14, 20, 0, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 29, 9, 36, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '228f2ebc-2902-4753-b0f5-dcb98aced465', 'end_date': datetime.datetime(2014, 9, 19, 20, 27, 22), 'start_time': datetime.datetime(2014, 6, 27, 20, 37, 8), 'rate': 4, 'updated_at': datetime.datetime(2015, 1, 15, 17, 3, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1e13480f-e822-454d-b787-4058aef17617', 'job_description': 'Upgradable solution-oriented ability', 'start_date': datetime.datetime(2012, 10, 18, 4, 48, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 22, 9, 21, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 2, 20, 23, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af97a585-c8e3-4488-bb28-df5a5b59b15e', 'end_date': datetime.datetime(2017, 2, 15, 9, 52, 41), 'start_time': datetime.datetime(2018, 12, 12, 3, 47, 44), 'rate': 3, 'updated_at': datetime.datetime(2010, 2, 5, 22, 7, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Grenada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2ff2a44c-318e-4470-811c-c3b446bb5a98', 'job_description': 'Seamless encompassing matrices', 'start_date': datetime.datetime(2013, 10, 30, 9, 42, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 6, 17, 15, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 12, 12, 28, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d2ac71e-61b4-48d3-8076-2a2f72e3438b', 'end_date': datetime.datetime(2012, 6, 15, 13, 11, 55), 'start_time': datetime.datetime(2014, 6, 10, 16, 50, 29), 'rate': 4, 'updated_at': datetime.datetime(2019, 1, 9, 4, 8, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '886925bc-9901-4aa8-a92e-41cc5b0dfbd7', 'job_description': 'Focused context-sensitive attitude', 'start_date': datetime.datetime(2014, 1, 21, 19, 38, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 17, 18, 13, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 20, 9, 25, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '55574c47-fca8-4943-8f8a-d87ae53f9cf3', 'end_date': datetime.datetime(2016, 12, 17, 21, 14, 13), 'start_time': datetime.datetime(2016, 4, 5, 21, 41, 58), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 12, 17, 59, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '87b3ae3a-0cad-4f16-aa6e-1a9904781db7', 'job_description': 'Universal regional firmware', 'start_date': datetime.datetime(2018, 10, 15, 10, 32, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 20, 0, 19, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 16, 0, 57, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e10cf8f0-b2ec-40ac-a6c0-dbe1e0c5e347', 'end_date': datetime.datetime(2010, 8, 8, 15, 5, 5), 'start_time': datetime.datetime(2011, 2, 17, 9, 52, 42), 'rate': 3, 'updated_at': datetime.datetime(2014, 3, 3, 17, 48, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Bangladesh', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b09aee93-7bcb-495e-afe8-0917d0f80a0f', 'job_description': 'Expanded optimizing help-desk', 'start_date': datetime.datetime(2018, 5, 1, 12, 46, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 18, 7, 14, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 5, 6, 29, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '838a1732-f360-4874-bafd-a72d1f7656fe', 'end_date': datetime.datetime(2013, 9, 17, 6, 34, 50), 'start_time': datetime.datetime(2014, 4, 12, 4, 50, 30), 'rate': 2, 'updated_at': datetime.datetime(2012, 12, 9, 13, 47, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '69912217-90b1-4f49-87b1-954330763ed5', 'job_description': 'Down-sized assymetric matrices', 'start_date': datetime.datetime(2014, 4, 11, 16, 3, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 10, 14, 48, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 16, 12, 39, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2fb06524-0a14-4b72-bb7d-5f4e983ad8bd', 'end_date': datetime.datetime(2014, 4, 2, 15, 2, 29), 'start_time': datetime.datetime(2011, 6, 23, 17, 45, 47), 'rate': 1, 'updated_at': datetime.datetime(2015, 1, 12, 10, 50, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9d8c9e4a-c765-46d3-86e7-888b3fb03445', 'job_description': 'Cross-group intermediate application', 'start_date': datetime.datetime(2015, 10, 30, 1, 50, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 21, 3, 41, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 2, 0, 54, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2d6697aa-ee01-4a26-9aa0-9deacb0f1e78', 'end_date': datetime.datetime(2019, 7, 15, 3, 44, 57), 'start_time': datetime.datetime(2016, 5, 29, 23, 46, 20), 'rate': 2, 'updated_at': datetime.datetime(2013, 6, 30, 13, 20, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dfbd9899-f11e-448d-83f4-08ce7704bb5e', 'job_description': 'Optimized optimizing software', 'start_date': datetime.datetime(2015, 12, 11, 14, 57, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 18, 11, 26, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 24, 20, 57, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c62a1a77-582e-498b-9815-530b7b2549aa', 'end_date': datetime.datetime(2010, 5, 8, 9, 38, 52), 'start_time': datetime.datetime(2013, 11, 10, 19, 29, 7), 'rate': 4, 'updated_at': datetime.datetime(2012, 3, 31, 0, 45, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a3e6d473-cf64-4f09-9ff3-fb439323feb9', 'job_description': 'Synergistic needs-based solution', 'start_date': datetime.datetime(2015, 7, 13, 16, 31, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 9, 7, 12, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 16, 11, 6, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea9c672f-caaf-4cbb-b86b-5d6c6a6d8847', 'end_date': datetime.datetime(2017, 10, 24, 4, 19), 'start_time': datetime.datetime(2012, 1, 2, 18, 45, 34), 'rate': 3, 'updated_at': datetime.datetime(2013, 9, 26, 3, 21, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5036eebc-76ad-4d6d-815e-5673745b8d2e', 'job_description': 'Front-line dedicated orchestration', 'start_date': datetime.datetime(2011, 1, 13, 10, 49, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 14, 0, 45, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 7, 22, 51, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6fe053b6-890f-4ff8-8a76-196cd9953953', 'end_date': datetime.datetime(2015, 3, 13, 4, 54, 2), 'start_time': datetime.datetime(2010, 2, 19, 20, 54, 12), 'rate': 5, 'updated_at': datetime.datetime(2011, 6, 13, 22, 27, 10), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a437fcf6-1633-472a-9242-8fb000aec8ed', 'job_description': 'Multi-lateral 5th generation Graphical User Interface', 'start_date': datetime.datetime(2018, 9, 18, 20, 5, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 28, 11, 36, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 3, 14, 36, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'db878d1f-8195-43b6-ac51-dfbc9054b89e', 'end_date': datetime.datetime(2013, 3, 14, 8, 13, 14), 'start_time': datetime.datetime(2010, 9, 9, 12, 56, 39), 'rate': 3, 'updated_at': datetime.datetime(2019, 4, 18, 12, 9, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '75dbceae-4e50-4a80-acfc-d0ceca2fcc6b', 'job_description': 'Team-oriented impactful methodology', 'start_date': datetime.datetime(2019, 5, 3, 21, 44, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 20, 19, 30, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 2, 22, 43, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eae70fa1-5788-4cff-baee-849742a51341', 'end_date': datetime.datetime(2014, 5, 4, 12, 43, 37), 'start_time': datetime.datetime(2015, 1, 6, 3, 54, 2), 'rate': 1, 'updated_at': datetime.datetime(2018, 11, 11, 20, 59, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Anguilla', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '11b4e6ff-155d-4409-b64a-b084ee94aae0', 'job_description': 'Mandatory bottom-line superstructure', 'start_date': datetime.datetime(2014, 12, 23, 7, 52, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 11, 11, 15, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 21, 9, 35, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '34806895-2d0f-4312-9f93-bafa7d786e42', 'end_date': datetime.datetime(2013, 11, 9, 13, 16, 12), 'start_time': datetime.datetime(2014, 6, 13, 5, 4, 18), 'rate': 5, 'updated_at': datetime.datetime(2011, 8, 26, 12, 46, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3c58340d-9627-43bb-b727-68155dc527aa', 'job_description': 'Function-based dedicated projection', 'start_date': datetime.datetime(2011, 9, 7, 2, 8, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 28, 21, 23, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 31, 2, 10, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af4b8af9-5541-4423-a73c-2887180ef5a2', 'end_date': datetime.datetime(2016, 5, 14, 23, 51, 21), 'start_time': datetime.datetime(2018, 4, 5, 3, 12, 3), 'rate': 3, 'updated_at': datetime.datetime(2011, 1, 16, 0, 35, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Kenya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '217a5b1a-9e94-4775-843a-1695eb19fddf', 'job_description': 'Up-sized object-oriented benchmark', 'start_date': datetime.datetime(2012, 6, 24, 10, 34, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 29, 11, 36, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 19, 22, 42, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '061b1a35-af61-4ff3-a64b-48553bc18a8e', 'end_date': datetime.datetime(2012, 5, 6, 14, 42, 44), 'start_time': datetime.datetime(2013, 3, 22, 5, 7, 14), 'rate': 1, 'updated_at': datetime.datetime(2011, 8, 30, 17, 35, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0a6d91b8-5092-4ecf-984c-5c7f979eeffa', 'job_description': 'Persevering clear-thinking database', 'start_date': datetime.datetime(2011, 11, 17, 22, 53, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 10, 16, 51, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 26, 22, 42, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '804ce822-bfbc-42e8-935b-d993b13b9572', 'end_date': datetime.datetime(2012, 12, 14, 21, 34, 38), 'start_time': datetime.datetime(2018, 4, 27, 17, 21, 5), 'rate': 4, 'updated_at': datetime.datetime(2012, 7, 8, 7, 38, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '965f2fbc-4fa3-4558-bfae-f68d47b1deda', 'job_description': 'Total directional infrastructure', 'start_date': datetime.datetime(2016, 10, 21, 2, 14, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 5, 20, 35, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 20, 5, 27, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '431ea02b-bf02-4c45-b802-89252029dc0f', 'end_date': datetime.datetime(2013, 2, 4, 11, 22, 48), 'start_time': datetime.datetime(2016, 12, 28, 20, 29, 52), 'rate': 1, 'updated_at': datetime.datetime(2013, 6, 5, 16, 13, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '36e0e13f-d385-4242-84e9-c116a4b6d8db', 'job_description': 'Proactive fault-tolerant core', 'start_date': datetime.datetime(2013, 3, 17, 18, 28, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 9, 11, 59, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 5, 3, 32, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5775c4ee-b37d-40d1-8366-e36a61e60df1', 'end_date': datetime.datetime(2010, 11, 26, 20, 12, 8), 'start_time': datetime.datetime(2017, 10, 20, 18, 18, 34), 'rate': 4, 'updated_at': datetime.datetime(2014, 4, 16, 10, 50, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b65c1fbe-f915-4520-8229-db3854fb3600', 'job_description': 'Cross-group transitional standardization', 'start_date': datetime.datetime(2018, 8, 30, 21, 33, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 30, 19, 56, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 13, 20, 26, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb321bbe-4281-4d08-a930-50dcf6ca3080', 'end_date': datetime.datetime(2015, 1, 9, 13, 14, 11), 'start_time': datetime.datetime(2010, 2, 10, 1, 25, 17), 'rate': 4, 'updated_at': datetime.datetime(2016, 6, 19, 8, 5, 21), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '12dd466d-9969-4916-8bf3-fe543e72bcc1', 'job_description': 'Balanced holistic system engine', 'start_date': datetime.datetime(2014, 9, 6, 5, 42, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 17, 8, 1, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 1, 17, 33, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '18aa3c69-b139-427d-b3c1-b046cbb4b45f', 'end_date': datetime.datetime(2019, 4, 5, 4, 14, 58), 'start_time': datetime.datetime(2011, 2, 14, 21, 23, 18), 'rate': 4, 'updated_at': datetime.datetime(2017, 1, 17, 9, 54, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Iraq', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aca3d65b-c6b2-410d-bf81-224d44558455', 'job_description': 'Progressive local process improvement', 'start_date': datetime.datetime(2019, 6, 24, 4, 6, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 4, 14, 4, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 8, 22, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '56b13f75-8e5b-45e9-84b8-a1987fafb1e8', 'end_date': datetime.datetime(2012, 8, 22, 6, 56, 26), 'start_time': datetime.datetime(2013, 3, 1, 20, 52, 10), 'rate': 2, 'updated_at': datetime.datetime(2016, 2, 25, 22, 10, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0f8e6c06-32b4-4c4c-8700-a6430d68e05d', 'job_description': 'Multi-lateral client-server project', 'start_date': datetime.datetime(2016, 5, 15, 7, 2, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 23, 17, 28, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 21, 18, 11, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '14bad835-217d-4fcb-bdd9-12ba47f31931', 'end_date': datetime.datetime(2011, 12, 24, 11, 5, 44), 'start_time': datetime.datetime(2012, 12, 27, 10, 55, 55), 'rate': 5, 'updated_at': datetime.datetime(2019, 7, 11, 2, 24, 13), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'df13e4f7-66e3-4eab-b62d-07411c01d64c', 'job_description': 'Optimized systematic process improvement', 'start_date': datetime.datetime(2010, 8, 26, 7, 53, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 21, 18, 54, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 28, 13, 40, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '182023b4-08fa-47fd-a4d3-059d5fb8ba7b', 'end_date': datetime.datetime(2012, 6, 15, 18, 19, 48), 'start_time': datetime.datetime(2015, 3, 13, 14, 19, 2), 'rate': 5, 'updated_at': datetime.datetime(2011, 3, 9, 0, 1, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Finland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '491bafb9-2015-4cac-8e11-02dfca41bdf9', 'job_description': 'Organic local monitoring', 'start_date': datetime.datetime(2013, 4, 24, 4, 56, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 6, 16, 18, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 10, 13, 23, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cd30be7b-1a47-44f8-b309-a45f353ada1e', 'end_date': datetime.datetime(2019, 4, 26, 21, 22, 3), 'start_time': datetime.datetime(2014, 5, 17, 12, 51, 15), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 3, 17, 6, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2ee5d620-40ed-4dfe-aff7-495d6ba4ac73', 'job_description': 'Implemented reciprocal methodology', 'start_date': datetime.datetime(2015, 9, 16, 9, 7, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 16, 21, 39, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 19, 14, 33, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fc158c0f-33dc-484e-bdc8-ac8bffaa06c6', 'end_date': datetime.datetime(2016, 3, 15, 10, 27, 4), 'start_time': datetime.datetime(2014, 7, 8, 8, 31, 25), 'rate': 1, 'updated_at': datetime.datetime(2011, 3, 10, 2, 40, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '08b56189-ae38-4e00-9562-54597dc691f1', 'job_description': 'Managed explicit website', 'start_date': datetime.datetime(2014, 11, 13, 10, 23, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 2, 21, 42, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 7, 21, 48, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '09c848e0-5118-4e2d-b8a5-3470e04fc558', 'end_date': datetime.datetime(2017, 3, 22, 23, 20, 33), 'start_time': datetime.datetime(2019, 7, 5, 21, 33, 56), 'rate': 3, 'updated_at': datetime.datetime(2018, 7, 6, 12, 48, 59), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ec6f21d8-9513-42a8-86a1-4d490bcb6482', 'job_description': 'Virtual systemic utilisation', 'start_date': datetime.datetime(2012, 3, 3, 23, 53, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 10, 8, 47, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 24, 3, 23, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1b006ff1-e5e3-45da-8ff5-a17b6580942e', 'end_date': datetime.datetime(2013, 10, 21, 23, 1, 26), 'start_time': datetime.datetime(2013, 11, 2, 2, 1, 52), 'rate': 2, 'updated_at': datetime.datetime(2019, 11, 4, 5, 25, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9480e40c-ee74-4dcb-acca-066887071962', 'job_description': 'Switchable mission-critical architecture', 'start_date': datetime.datetime(2015, 7, 7, 12, 44, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 12, 4, 2, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 30, 17, 21, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e1a3abfc-5723-4adb-9750-2dcbd88178a5', 'end_date': datetime.datetime(2019, 8, 10, 6, 8, 20), 'start_time': datetime.datetime(2014, 9, 12, 10, 8, 42), 'rate': 3, 'updated_at': datetime.datetime(2011, 9, 7, 5, 6, 9), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '69fb8831-df40-4545-bde4-aba685952a3f', 'job_description': 'Automated eco-centric secured line', 'start_date': datetime.datetime(2013, 10, 16, 17, 26, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 27, 0, 32, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 21, 9, 19, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e5dfa720-0c43-4f53-afce-c304a2511395', 'end_date': datetime.datetime(2012, 12, 17, 3, 17, 32), 'start_time': datetime.datetime(2016, 1, 17, 0, 49, 8), 'rate': 3, 'updated_at': datetime.datetime(2015, 11, 2, 3, 26, 26), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '40802efa-0cbb-4c07-b7e5-c7147b9055c8', 'job_description': 'Open-source intermediate service-desk', 'start_date': datetime.datetime(2011, 3, 29, 20, 52, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 15, 11, 47, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 5, 5, 19, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '15b36ce8-d104-4952-8dca-ee71d4db4c21', 'end_date': datetime.datetime(2010, 8, 30, 11, 15, 15), 'start_time': datetime.datetime(2012, 10, 3, 1, 58, 7), 'rate': 1, 'updated_at': datetime.datetime(2014, 3, 28, 11, 56, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a4ea35dd-3bd7-4452-9b4b-e1410798a290', 'job_description': 'Polarised 4th generation functionalities', 'start_date': datetime.datetime(2014, 7, 16, 2, 40, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 15, 12, 57, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 5, 23, 55, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3a5a4e49-3425-4308-81c5-7695b201a528', 'end_date': datetime.datetime(2015, 10, 26, 17, 4, 34), 'start_time': datetime.datetime(2015, 8, 28, 6, 0, 37), 'rate': 1, 'updated_at': datetime.datetime(2015, 10, 19, 19, 56, 12), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '968e486f-34be-4f8b-9d20-0ce0a0d78a09', 'job_description': 'Grass-roots local time-frame', 'start_date': datetime.datetime(2012, 1, 8, 9, 52, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 10, 15, 37, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 4, 17, 49, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '69f802af-2964-48f6-a939-cb5501cc5062', 'end_date': datetime.datetime(2012, 10, 9, 3, 45, 17), 'start_time': datetime.datetime(2011, 9, 11, 16, 59, 52), 'rate': 1, 'updated_at': datetime.datetime(2012, 4, 20, 7, 2, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ab667769-5930-4085-962d-1a9ae5899ee6', 'job_description': 'Distributed contextually-based architecture', 'start_date': datetime.datetime(2018, 12, 5, 17, 12, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 27, 11, 47, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 29, 18, 19, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '63d9f3be-3a11-46c7-a114-19e4e554bc4b', 'end_date': datetime.datetime(2019, 2, 4, 7, 33, 59), 'start_time': datetime.datetime(2019, 7, 6, 12, 53, 30), 'rate': 5, 'updated_at': datetime.datetime(2012, 6, 17, 6, 0, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '755e0887-a6ec-422d-9c6f-a0f176708211', 'job_description': 'Down-sized directional database', 'start_date': datetime.datetime(2015, 10, 29, 0, 5, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 10, 1, 33, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 23, 16, 58, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '602e9a75-f609-499b-9078-a92bc46beb16', 'end_date': datetime.datetime(2019, 10, 20, 16, 55, 50), 'start_time': datetime.datetime(2019, 11, 13, 23, 44, 23), 'rate': 1, 'updated_at': datetime.datetime(2019, 8, 18, 7, 27, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Costa Rica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1920d3ce-9c34-40cb-8a28-024481bb9f34', 'job_description': 'Synergistic optimizing intranet', 'start_date': datetime.datetime(2013, 6, 1, 3, 57, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 27, 14, 59, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 8, 2, 19, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f628088-48a8-4827-a157-93626792db02', 'end_date': datetime.datetime(2016, 9, 22, 23, 27, 4), 'start_time': datetime.datetime(2015, 6, 21, 11, 13, 2), 'rate': 3, 'updated_at': datetime.datetime(2016, 9, 1, 4, 23, 31), 'job_title': 'CoffeeMaker', 'service_id': 'United States Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3dfbfd63-5c87-4fbe-85dd-7843d186860d', 'job_description': 'Seamless bandwidth-monitored function', 'start_date': datetime.datetime(2019, 9, 25, 23, 40, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 29, 16, 34, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 25, 4, 25, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1ea1b0f2-73b6-4f7c-8561-82d907fc788d', 'end_date': datetime.datetime(2014, 1, 12, 13, 0, 36), 'start_time': datetime.datetime(2015, 9, 4, 0, 8, 42), 'rate': 3, 'updated_at': datetime.datetime(2016, 6, 9, 10, 13, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1db82d34-39ff-4092-8892-0c34af6887c3', 'job_description': 'Integrated 5th generation local area network', 'start_date': datetime.datetime(2012, 10, 9, 21, 15, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 22, 7, 0, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 4, 6, 28, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6b57b701-04b8-4a9d-9384-f7710c12a263', 'end_date': datetime.datetime(2014, 6, 5, 10, 29, 16), 'start_time': datetime.datetime(2019, 5, 8, 20, 7, 21), 'rate': 5, 'updated_at': datetime.datetime(2014, 3, 2, 10, 20, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bc711804-ff4a-47e5-9925-73b5ae59db43', 'job_description': 'Re-contextualized needs-based forecast', 'start_date': datetime.datetime(2013, 6, 1, 14, 43, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 26, 12, 38, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 18, 16, 39, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2cf2d06d-feda-4335-aada-020e6328c130', 'end_date': datetime.datetime(2014, 7, 11, 14, 37, 13), 'start_time': datetime.datetime(2010, 4, 4, 19, 16, 8), 'rate': 3, 'updated_at': datetime.datetime(2019, 6, 2, 0, 29, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '40dfd061-97e4-4ba3-97a8-be41b6438d77', 'job_description': 'Monitored heuristic strategy', 'start_date': datetime.datetime(2019, 5, 12, 5, 0, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 18, 6, 7, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 4, 10, 2, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0dc146d0-1cdc-4a78-9f11-fda69b3dc39a', 'end_date': datetime.datetime(2012, 12, 9, 17, 0, 49), 'start_time': datetime.datetime(2012, 8, 28, 7, 26, 19), 'rate': 1, 'updated_at': datetime.datetime(2019, 8, 6, 22, 0, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9746c26c-2b2a-427e-97b1-b5adfa6df337', 'job_description': 'Team-oriented tangible matrices', 'start_date': datetime.datetime(2013, 9, 23, 1, 8, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 2, 16, 44, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 15, 12, 49, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '91269e46-1594-4ec3-84aa-b5748317fb98', 'end_date': datetime.datetime(2016, 11, 11, 7, 13, 41), 'start_time': datetime.datetime(2012, 1, 14, 19, 35, 58), 'rate': 3, 'updated_at': datetime.datetime(2017, 4, 7, 13, 20, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Equatorial Guinea', 'special_note': 'thanks'}
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{'_id': 'df8893e5-b929-4e87-a7d2-37de0f07a2f7', 'job_description': 'Reverse-engineered logistical knowledge base', 'start_date': datetime.datetime(2013, 5, 21, 16, 56, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 19, 21, 18, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 26, 13, 27, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '06e9ed2f-4caf-47ef-8d97-913adef0a983', 'end_date': datetime.datetime(2010, 3, 10, 18, 10, 15), 'start_time': datetime.datetime(2011, 12, 27, 10, 6, 42), 'rate': 4, 'updated_at': datetime.datetime(2015, 6, 18, 19, 58, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
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{'_id': 'af559a04-bb5d-43c0-805b-e81b2408726c', 'job_description': 'Stand-alone attitude-oriented flexibility', 'start_date': datetime.datetime(2010, 9, 18, 11, 35, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 5, 16, 59, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 11, 9, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b1834620-ca5b-47b7-8b07-6c57ddbbf856', 'end_date': datetime.datetime(2014, 3, 19, 17, 25, 23), 'start_time': datetime.datetime(2011, 3, 17, 17, 43, 5), 'rate': 1, 'updated_at': datetime.datetime(2010, 10, 8, 23, 26, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
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{'_id': 'e8b276be-430f-4b1c-990c-1406efb02b2a', 'job_description': 'Digitized motivating middleware', 'start_date': datetime.datetime(2010, 11, 15, 13, 12, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 21, 16, 52, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 6, 23, 46, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c06a1a55-3735-409f-bd3e-0ca7c7277dc3', 'end_date': datetime.datetime(2011, 11, 17, 12, 40, 33), 'start_time': datetime.datetime(2015, 5, 1, 8, 41, 14), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 5, 20, 51, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
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{'_id': '2cea9307-bba3-4a42-9f2f-0a9069e57d0b', 'job_description': 'Synchronised 24 hour challenge', 'start_date': datetime.datetime(2018, 7, 7, 13, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 30, 18, 4, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 7, 9, 11, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '355c8f8d-e935-431c-b096-aaf3a7864436', 'end_date': datetime.datetime(2017, 11, 2, 10, 51, 21), 'start_time': datetime.datetime(2015, 4, 29, 17, 57, 4), 'rate': 5, 'updated_at': datetime.datetime(2011, 4, 5, 17, 50, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
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{'_id': '8131e4d6-2e1e-41b2-98a0-e196b6242450', 'job_description': 'Programmable zero defect productivity', 'start_date': datetime.datetime(2016, 12, 24, 8, 13, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 8, 1, 51, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 28, 8, 31, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ddabd96b-f00f-489b-83f6-e859dc3fe588', 'end_date': datetime.datetime(2014, 2, 27, 13, 52, 2), 'start_time': datetime.datetime(2019, 1, 21, 9, 29, 47), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 1, 2, 45, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
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{'_id': '34caa4ff-b0e5-4941-bfaa-001439bca8a6', 'job_description': 'Networked mobile data-warehouse', 'start_date': datetime.datetime(2015, 6, 30, 9, 13, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 7, 0, 59, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 2, 6, 39, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9a1df27d-29aa-42d5-8a76-ca152a619e36', 'end_date': datetime.datetime(2017, 10, 9, 12, 39, 26), 'start_time': datetime.datetime(2014, 9, 24, 15, 55, 8), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 17, 12, 5, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Macedonia', 'special_note': 'thanks'}
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{'_id': 'a60acd50-d473-4a5d-8006-8a81a092c746', 'job_description': 'De-engineered encompassing parallelism', 'start_date': datetime.datetime(2019, 5, 1, 11, 33, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 23, 1, 15, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 10, 4, 23, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3344fb85-e67b-49a4-960b-e14479605d00', 'end_date': datetime.datetime(2015, 2, 1, 8, 9, 51), 'start_time': datetime.datetime(2017, 12, 1, 13, 45, 20), 'rate': 5, 'updated_at': datetime.datetime(2018, 3, 16, 17, 59, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
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{'_id': '5d962f3f-600e-4e9f-a7d1-9b70991996df', 'job_description': 'Integrated upward-trending protocol', 'start_date': datetime.datetime(2016, 7, 20, 15, 48, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 12, 5, 29, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 12, 21, 39, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8d08f230-8fb0-4f8d-9849-54ae934827b1', 'end_date': datetime.datetime(2011, 4, 17, 4, 50, 47), 'start_time': datetime.datetime(2017, 7, 17, 6, 14, 39), 'rate': 2, 'updated_at': datetime.datetime(2014, 2, 10, 21, 41, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
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{'_id': '8e672dfb-6202-49f3-a82c-74a83533ddb3', 'job_description': 'Implemented foreground interface', 'start_date': datetime.datetime(2010, 11, 7, 9, 18, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 14, 16, 39, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 2, 5, 39, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f467fef1-292a-437e-82e7-034014d6bae7', 'end_date': datetime.datetime(2015, 11, 11, 19, 19, 34), 'start_time': datetime.datetime(2014, 6, 19, 4, 35, 45), 'rate': 5, 'updated_at': datetime.datetime(2011, 12, 12, 7, 28, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': '694fc5d6-0502-448c-be36-d39a3188adfb', 'job_description': 'Expanded directional circuit', 'start_date': datetime.datetime(2018, 11, 12, 16, 1, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 6, 19, 32, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 13, 6, 42, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c3209604-c0ee-428a-a663-1743fdf7ad9c', 'end_date': datetime.datetime(2014, 11, 18, 17, 29, 24), 'start_time': datetime.datetime(2016, 9, 12, 5, 59, 46), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 17, 21, 26, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
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{'_id': '1d505aa5-7b27-4d8d-9b3f-7a968b999916', 'job_description': 'Horizontal optimizing architecture', 'start_date': datetime.datetime(2014, 9, 4, 21, 0, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 15, 13, 21, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 15, 20, 43, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd142d469-d1d5-4d4b-92b2-0bd38abc6c32', 'end_date': datetime.datetime(2017, 6, 19, 16, 52, 28), 'start_time': datetime.datetime(2013, 5, 21, 4, 37, 39), 'rate': 1, 'updated_at': datetime.datetime(2019, 1, 13, 13, 26, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
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{'_id': '4c90e3de-de90-4fc8-8c44-b8ea1c778702', 'job_description': 'Implemented regional capability', 'start_date': datetime.datetime(2018, 3, 14, 8, 37, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 9, 1, 2, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 6, 0, 5, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2589bad1-4539-44d5-982e-d31bd8ee3e77', 'end_date': datetime.datetime(2011, 12, 20, 0, 27, 22), 'start_time': datetime.datetime(2013, 12, 17, 3, 36, 13), 'rate': 4, 'updated_at': datetime.datetime(2011, 10, 24, 17, 13, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
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{'_id': '7b4f35d9-e9e7-44e2-8f7d-09229ca5590a', 'job_description': 'Switchable 6th generation synergy', 'start_date': datetime.datetime(2018, 3, 20, 19, 59, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 4, 16, 15, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 24, 9, 24, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd8f06d6d-0847-4942-9a68-9801e76216be', 'end_date': datetime.datetime(2017, 5, 9, 18, 20, 48), 'start_time': datetime.datetime(2016, 10, 6, 20, 9, 45), 'rate': 5, 'updated_at': datetime.datetime(2014, 3, 11, 1, 1, 18), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
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{'_id': '6c3def3b-d7d6-49e6-90b8-835152b82fec', 'job_description': 'Face to face homogeneous project', 'start_date': datetime.datetime(2018, 1, 10, 20, 9, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 24, 5, 8, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 8, 2, 46, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c23dc158-03fe-418d-912c-f8142388c69b', 'end_date': datetime.datetime(2013, 1, 25, 14, 8, 42), 'start_time': datetime.datetime(2013, 1, 21, 11, 50, 43), 'rate': 1, 'updated_at': datetime.datetime(2011, 6, 27, 6, 55, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
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{'_id': '04cae34d-d4ff-4418-9cd6-6219d1160fb3', 'job_description': 'Implemented intermediate array', 'start_date': datetime.datetime(2013, 3, 31, 1, 33, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 18, 16, 53, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 30, 12, 4, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '92f7b130-6478-45a2-8ff6-da206a9fcdc2', 'end_date': datetime.datetime(2014, 1, 4, 1, 51, 11), 'start_time': datetime.datetime(2015, 12, 29, 21, 39, 40), 'rate': 4, 'updated_at': datetime.datetime(2014, 6, 30, 4, 45, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
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{'_id': 'a3395432-f12b-4919-bd80-ebc13810c76a', 'job_description': 'Synergistic tangible leverage', 'start_date': datetime.datetime(2017, 2, 12, 11, 15, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 8, 21, 14, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 27, 1, 15, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd8e59b18-194f-4a62-aa87-4870283b030e', 'end_date': datetime.datetime(2012, 10, 23, 15, 7, 49), 'start_time': datetime.datetime(2012, 3, 1, 12, 7, 46), 'rate': 1, 'updated_at': datetime.datetime(2015, 1, 11, 12, 35, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Sri Lanka', 'special_note': 'thanks'}
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{'_id': 'f0c9f205-3c32-4ffb-a3a2-48f7d5a669e1', 'job_description': 'Customer-focused global pricing structure', 'start_date': datetime.datetime(2010, 5, 22, 13, 45, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 1, 16, 0, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 3, 14, 29, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f75becdb-ba44-4cea-8171-10ae69255383', 'end_date': datetime.datetime(2017, 10, 9, 21, 18, 3), 'start_time': datetime.datetime(2015, 8, 17, 13, 8, 41), 'rate': 3, 'updated_at': datetime.datetime(2018, 7, 23, 15, 34, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
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{'_id': 'c3a19be4-fbba-4a3b-bf07-437963f5d9ee', 'job_description': 'Realigned bifurcated collaboration', 'start_date': datetime.datetime(2016, 10, 4, 22, 30, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 17, 17, 2, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 23, 5, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a0e6a2b9-59f6-46e3-88b4-966402a87867', 'end_date': datetime.datetime(2011, 7, 29, 13, 20, 42), 'start_time': datetime.datetime(2012, 10, 3, 22, 40, 50), 'rate': 1, 'updated_at': datetime.datetime(2015, 12, 24, 20, 19, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': 'e720450f-f9cf-4941-8b51-ca5a33594cc9', 'job_description': 'Up-sized dynamic parallelism', 'start_date': datetime.datetime(2011, 9, 23, 18, 13, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 26, 18, 1, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 11, 5, 18, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '00cfaab8-25f6-430c-8d5c-e63a98e14ffe', 'end_date': datetime.datetime(2015, 12, 2, 18, 35, 33), 'start_time': datetime.datetime(2018, 5, 4, 17, 30, 53), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 9, 18, 7, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
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{'_id': '1ad7c157-b66f-4478-9cef-d98025799683', 'job_description': 'Synergized even-keeled encoding', 'start_date': datetime.datetime(2019, 5, 16, 0, 17, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 2, 19, 15, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 21, 16, 2, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '76924acc-c9e5-4f7c-96a0-979b3334d236', 'end_date': datetime.datetime(2013, 11, 4, 12, 29, 28), 'start_time': datetime.datetime(2011, 7, 19, 8, 18, 32), 'rate': 2, 'updated_at': datetime.datetime(2017, 7, 11, 5, 52, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
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{'_id': '86b33ef6-cca4-4a6c-b60a-3e47e84b07ba', 'job_description': 'Multi-lateral static monitoring', 'start_date': datetime.datetime(2011, 7, 8, 20, 30, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 8, 13, 39, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 9, 14, 2, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dce861ff-ad9d-48cc-a716-22fd75353239', 'end_date': datetime.datetime(2014, 9, 29, 1, 59, 40), 'start_time': datetime.datetime(2011, 1, 24, 19, 55, 45), 'rate': 5, 'updated_at': datetime.datetime(2015, 5, 7, 14, 51, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
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{'_id': '62279114-a67c-46cf-89ea-08db64c918e4', 'job_description': 'Stand-alone system-worthy algorithm', 'start_date': datetime.datetime(2019, 3, 18, 3, 50, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 21, 20, 43, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 18, 10, 2, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '20a8f1ae-d834-4eb1-8d43-0c74ab54e2f1', 'end_date': datetime.datetime(2013, 6, 9, 11, 53, 15), 'start_time': datetime.datetime(2017, 5, 13, 21, 46, 40), 'rate': 2, 'updated_at': datetime.datetime(2010, 4, 28, 3, 48, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '75c6f8bb-64b2-43dd-92ac-af646b9cf0c3', 'job_description': 'Programmable multi-tasking open architecture', 'start_date': datetime.datetime(2014, 7, 21, 1, 38, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 16, 9, 43, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 5, 6, 56, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e6ffe897-5504-452a-8d02-4615600f017a', 'end_date': datetime.datetime(2014, 4, 15, 1, 56, 7), 'start_time': datetime.datetime(2018, 12, 31, 12, 46, 11), 'rate': 3, 'updated_at': datetime.datetime(2013, 2, 12, 8, 4, 5), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
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{'_id': 'ffe57e0a-e30e-4a19-8eba-53beed4a64ab', 'job_description': 'Organic background strategy', 'start_date': datetime.datetime(2017, 1, 9, 2, 54, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 11, 16, 25, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 13, 15, 33, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af791773-7a39-4b36-ac7d-4486ec5a8387', 'end_date': datetime.datetime(2018, 10, 12, 14, 56, 7), 'start_time': datetime.datetime(2018, 8, 18, 4, 35, 51), 'rate': 4, 'updated_at': datetime.datetime(2013, 1, 22, 5, 59, 30), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
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<class 'dict'>
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{'_id': '75dcbc7b-e7ce-4089-968a-6f93c35f199a', 'job_description': 'Inverse human-resource productivity', 'start_date': datetime.datetime(2016, 11, 23, 1, 45, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 9, 6, 39, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 31, 23, 22, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e16601c7-0d4e-422f-a3b8-2eaa150a6b9c', 'end_date': datetime.datetime(2012, 7, 14, 16, 49, 38), 'start_time': datetime.datetime(2017, 8, 23, 11, 29, 18), 'rate': 1, 'updated_at': datetime.datetime(2015, 9, 20, 16, 2, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': 'b184741c-9fc9-4ffd-b40d-741750cc050d', 'job_description': 'Customer-focused modular array', 'start_date': datetime.datetime(2016, 2, 21, 23, 32, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 13, 19, 9, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 5, 21, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '05987294-f21a-400e-a511-7de97061a293', 'end_date': datetime.datetime(2014, 8, 14, 9, 33, 8), 'start_time': datetime.datetime(2010, 4, 5, 16, 17, 27), 'rate': 2, 'updated_at': datetime.datetime(2013, 9, 16, 10, 47, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
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{'_id': 'a44bd1cd-9eb6-4d3c-96e7-c9c78624c52f', 'job_description': 'Digitized web-enabled solution', 'start_date': datetime.datetime(2011, 4, 15, 14, 46, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 20, 7, 55, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 13, 16, 20, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0540be0e-b4a0-4e33-adcc-dbda5f66ba00', 'end_date': datetime.datetime(2018, 9, 6, 17, 22, 27), 'start_time': datetime.datetime(2014, 8, 9, 17, 49, 53), 'rate': 3, 'updated_at': datetime.datetime(2010, 11, 5, 14, 20, 55), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
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{'_id': 'eea9d33a-c4bb-4056-8956-52a2d551f69a', 'job_description': 'Balanced tangible moderator', 'start_date': datetime.datetime(2017, 3, 28, 10, 16, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 24, 11, 28, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 17, 1, 31, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '29a7572d-fe67-4fa6-8a01-890b79f29a02', 'end_date': datetime.datetime(2011, 5, 14, 5, 31, 27), 'start_time': datetime.datetime(2019, 10, 29, 20, 21, 32), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 13, 16, 32, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
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{'_id': 'e2743988-44dc-4ef2-984f-4586f4c4d368', 'job_description': 'Grass-roots composite installation', 'start_date': datetime.datetime(2017, 4, 17, 15, 30, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 30, 7, 41, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 18, 19, 49, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd84b5a65-079d-4319-bb3c-ee1d0f7ec198', 'end_date': datetime.datetime(2017, 10, 8, 13, 42, 3), 'start_time': datetime.datetime(2015, 5, 16, 6, 12, 45), 'rate': 1, 'updated_at': datetime.datetime(2013, 10, 20, 15, 26, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': 'f7c2f59f-e4c3-4f2e-965e-1e463f0c081a', 'job_description': 'Intuitive cohesive superstructure', 'start_date': datetime.datetime(2019, 7, 4, 17, 4, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 10, 10, 38, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 21, 21, 39, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '68b360f9-eac7-44d3-9bfa-812334eea9a6', 'end_date': datetime.datetime(2012, 11, 3, 19, 31, 36), 'start_time': datetime.datetime(2018, 11, 28, 22, 49, 12), 'rate': 3, 'updated_at': datetime.datetime(2019, 8, 2, 8, 26, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
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{'_id': 'aba3235f-71c6-48ff-ae68-701565be32db', 'job_description': 'Synergistic clear-thinking neural-net', 'start_date': datetime.datetime(2010, 3, 22, 22, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 30, 1, 41, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 25, 14, 45, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1065fff7-f94d-447d-bedc-d1d5a03ba9b8', 'end_date': datetime.datetime(2010, 5, 9, 23, 11, 22), 'start_time': datetime.datetime(2012, 5, 4, 11, 12, 38), 'rate': 5, 'updated_at': datetime.datetime(2012, 4, 10, 13, 49, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
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{'_id': '9fc5cbda-a7ad-4c43-a8c1-508a665ed781', 'job_description': 'Function-based web-enabled database', 'start_date': datetime.datetime(2016, 10, 14, 16, 34, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 19, 10, 20, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 20, 13, 55, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c4b76868-bb22-4b07-b4d8-778124288a7a', 'end_date': datetime.datetime(2017, 8, 10, 19, 39, 54), 'start_time': datetime.datetime(2012, 4, 24, 11, 40, 37), 'rate': 3, 'updated_at': datetime.datetime(2010, 12, 12, 12, 32, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Trinidad and Tobago', 'special_note': 'thanks'}
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{'_id': '632ed975-a31d-40ef-9b5e-f7fa2113aab9', 'job_description': 'Streamlined full-range alliance', 'start_date': datetime.datetime(2011, 1, 23, 8, 12, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 10, 16, 15, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 5, 22, 38, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '21571729-70c2-470c-b877-1b2140e2f0bb', 'end_date': datetime.datetime(2017, 2, 15, 7, 19, 55), 'start_time': datetime.datetime(2015, 1, 12, 22, 0, 37), 'rate': 2, 'updated_at': datetime.datetime(2011, 8, 4, 18, 53, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
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{'_id': 'c218b9ad-53ee-4831-9171-a6961702b0a0', 'job_description': 'Seamless tertiary definition', 'start_date': datetime.datetime(2019, 11, 21, 11, 37, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 22, 6, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 7, 17, 11, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '667cbe68-706b-42b4-a1f7-1400c01207a1', 'end_date': datetime.datetime(2015, 6, 27, 18, 32, 17), 'start_time': datetime.datetime(2018, 12, 6, 11, 51, 34), 'rate': 3, 'updated_at': datetime.datetime(2019, 5, 1, 15, 21, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
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{'_id': 'b999b9e6-3153-4db8-9278-5c80106ec9d5', 'job_description': 'Robust fault-tolerant data-warehouse', 'start_date': datetime.datetime(2015, 12, 29, 8, 56, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 14, 6, 17, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 15, 12, 48, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '22a457dc-85eb-4063-83c9-db13d78c1b0c', 'end_date': datetime.datetime(2011, 11, 19, 9, 15, 31), 'start_time': datetime.datetime(2013, 5, 27, 18, 40, 8), 'rate': 5, 'updated_at': datetime.datetime(2012, 1, 19, 20, 42, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Rwanda', 'special_note': 'thanks'}
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{'_id': '65586e13-e2a3-4aa5-ba6d-a64b08aafccf', 'job_description': 'Object-based actuating info-mediaries', 'start_date': datetime.datetime(2013, 5, 20, 9, 33, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 2, 12, 2, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 18, 19, 13, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0f148b4-13de-46f3-9266-b2a76a16708e', 'end_date': datetime.datetime(2018, 8, 30, 10, 24, 16), 'start_time': datetime.datetime(2018, 12, 28, 6, 36, 30), 'rate': 1, 'updated_at': datetime.datetime(2018, 9, 18, 14, 59, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
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{'_id': '3e4d1c8f-25e1-45cf-81e9-6c91c0634203', 'job_description': 'Extended systematic Graphic Interface', 'start_date': datetime.datetime(2012, 6, 11, 22, 45, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 6, 23, 8, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 27, 13, 11, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc79824d-013b-4dbd-9796-5949711fb754', 'end_date': datetime.datetime(2014, 12, 10, 19, 3, 29), 'start_time': datetime.datetime(2016, 3, 26, 9, 12, 19), 'rate': 2, 'updated_at': datetime.datetime(2014, 6, 20, 20, 26, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
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{'_id': 'f0d3df32-798f-4416-a1de-af61c84138e0', 'job_description': 'Reactive background hardware', 'start_date': datetime.datetime(2017, 4, 4, 8, 35, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 28, 18, 31, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 18, 7, 19, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5c778c6b-0309-42fc-a9db-ae6e1dcd80ff', 'end_date': datetime.datetime(2011, 1, 7, 2, 34, 41), 'start_time': datetime.datetime(2016, 6, 3, 18, 10, 3), 'rate': 4, 'updated_at': datetime.datetime(2015, 7, 12, 5, 40, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
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{'_id': '5fc55ccd-be4e-4723-8378-2f485498477c', 'job_description': 'Innovative optimal moratorium', 'start_date': datetime.datetime(2015, 1, 14, 15, 30, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 18, 2, 49, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 24, 11, 43, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2d467d96-6843-4b7a-8d27-c74076e6cab8', 'end_date': datetime.datetime(2015, 3, 4, 10, 28, 19), 'start_time': datetime.datetime(2012, 12, 24, 22, 41, 14), 'rate': 5, 'updated_at': datetime.datetime(2015, 7, 9, 19, 45), 'job_title': 'CoffeeMaker', 'service_id': 'United States Minor Outlying Islands', 'special_note': 'thanks'}
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{'_id': 'ed879d43-52e9-47a5-a302-0a4a75bb008a', 'job_description': 'Universal multi-tasking database', 'start_date': datetime.datetime(2018, 5, 6, 2, 44, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 8, 23, 49, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 26, 2, 9, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ef3bd3a-8b4a-450f-bea4-ee79f994ccc9', 'end_date': datetime.datetime(2013, 9, 4, 21, 22, 13), 'start_time': datetime.datetime(2010, 8, 23, 20, 47, 23), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 18, 3, 14, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
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{'_id': 'c31ec359-4052-40cc-898c-a2d1fab11566', 'job_description': 'Team-oriented holistic customer loyalty', 'start_date': datetime.datetime(2012, 3, 9, 5, 41, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 8, 7, 25, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 14, 19, 45, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '95775fb7-94cf-465f-bd14-db544a7ffd4e', 'end_date': datetime.datetime(2016, 3, 14, 23, 9, 57), 'start_time': datetime.datetime(2016, 10, 14, 23, 28, 21), 'rate': 5, 'updated_at': datetime.datetime(2017, 5, 19, 11, 35, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Aruba', 'special_note': 'thanks'}
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{'_id': 'bb432f7f-49ae-4363-a79d-59a0ff76027e', 'job_description': 'Vision-oriented context-sensitive capability', 'start_date': datetime.datetime(2017, 9, 28, 23, 17, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 17, 18, 9, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 20, 9, 34, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8377a500-82f6-4fae-af8c-7178739bd2f4', 'end_date': datetime.datetime(2014, 4, 24, 9, 10, 57), 'start_time': datetime.datetime(2018, 8, 11, 19, 27, 22), 'rate': 4, 'updated_at': datetime.datetime(2016, 3, 15, 6, 26, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
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<class 'dict'>
{'_id': '2dd22b8b-748c-40b7-b4f6-b6b7af7187ae', 'job_description': 'Innovative explicit array', 'start_date': datetime.datetime(2017, 10, 2, 20, 0, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 3, 10, 34, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 4, 1, 48, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb636ec3-4c7e-4ff2-8eaa-9fdcf328545c', 'end_date': datetime.datetime(2019, 10, 5, 5, 41, 53), 'start_time': datetime.datetime(2018, 8, 31, 9, 39, 49), 'rate': 3, 'updated_at': datetime.datetime(2011, 6, 11, 20, 29, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': 'f3d1cc4e-5a77-459e-bb85-2977020b8e07', 'job_description': 'Secured zero tolerance installation', 'start_date': datetime.datetime(2012, 8, 17, 23, 23, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 10, 6, 54, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 24, 20, 3, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4f617cad-917a-435d-b4bb-331d233c2bf8', 'end_date': datetime.datetime(2014, 7, 4, 1, 15, 48), 'start_time': datetime.datetime(2013, 2, 25, 16, 52, 20), 'rate': 5, 'updated_at': datetime.datetime(2017, 3, 19, 11, 55, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': 'd7ef11c5-dce6-409e-903b-89dd85ce958b', 'job_description': 'Synergized maximized attitude', 'start_date': datetime.datetime(2018, 8, 3, 7, 28, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 31, 23, 53, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 20, 8, 15, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '910d19cc-1735-40d3-a98a-ec96f916f02f', 'end_date': datetime.datetime(2015, 11, 3, 6, 33, 12), 'start_time': datetime.datetime(2015, 11, 15, 5, 32, 15), 'rate': 2, 'updated_at': datetime.datetime(2015, 1, 24, 22, 55, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Ukraine', 'special_note': 'thanks'}
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{'_id': '6953caa6-ba25-4686-b849-0cfcc614d1c2', 'job_description': 'Expanded intangible knowledge user', 'start_date': datetime.datetime(2014, 9, 2, 14, 16, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 15, 2, 29, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 12, 3, 6, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '232697c7-6847-4e6a-9870-0f23a925621d', 'end_date': datetime.datetime(2019, 9, 9, 17, 41, 7), 'start_time': datetime.datetime(2019, 10, 16, 20, 12, 36), 'rate': 5, 'updated_at': datetime.datetime(2011, 9, 27, 22, 45, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
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{'_id': 'e1bd1c97-e9f6-4a78-bdc9-2a422f6f0e84', 'job_description': 'Adaptive grid-enabled moratorium', 'start_date': datetime.datetime(2012, 4, 20, 8, 32, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 4, 19, 29, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 12, 7, 29, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3f2b7a1d-5b5a-44c9-9afc-66caeac2e569', 'end_date': datetime.datetime(2019, 5, 9, 4, 1, 49), 'start_time': datetime.datetime(2012, 4, 30, 8, 55, 32), 'rate': 5, 'updated_at': datetime.datetime(2016, 12, 5, 7, 15, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c15830e8-91f1-42e6-a88b-ddb322f5d930', 'job_description': 'Integrated mobile interface', 'start_date': datetime.datetime(2016, 8, 2, 17, 49, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 6, 9, 55, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 2, 21, 4, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cb495a70-3dfa-4b9d-b559-9e9f2d535226', 'end_date': datetime.datetime(2014, 10, 13, 0, 35, 56), 'start_time': datetime.datetime(2014, 5, 2, 2, 21, 40), 'rate': 1, 'updated_at': datetime.datetime(2011, 5, 26, 11, 51, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd083cd53-d6b5-4e72-96fe-faf7f97c0002', 'job_description': 'Enterprise-wide 5th generation circuit', 'start_date': datetime.datetime(2018, 11, 7, 11, 11, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 4, 13, 58, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 10, 18, 32, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '86cf080d-97b1-44a4-8b6e-7fde1e79464c', 'end_date': datetime.datetime(2014, 12, 1, 0, 57, 8), 'start_time': datetime.datetime(2011, 10, 25, 17, 9, 31), 'rate': 2, 'updated_at': datetime.datetime(2011, 4, 14, 7, 57, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0cfbde8a-5099-45a5-822e-1ed960eda18f', 'job_description': 'Implemented full-range help-desk', 'start_date': datetime.datetime(2013, 8, 9, 0, 25, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 10, 13, 39, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 27, 5, 41, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2378ccc3-e8c6-43e9-9de1-5ecac67b45cb', 'end_date': datetime.datetime(2015, 4, 24, 6, 34, 30), 'start_time': datetime.datetime(2011, 4, 10, 2, 42, 24), 'rate': 1, 'updated_at': datetime.datetime(2018, 8, 23, 23, 27, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '62f993b3-c705-4198-a06f-14339a532d97', 'job_description': 'Fundamental demand-driven secured line', 'start_date': datetime.datetime(2015, 2, 17, 19, 31, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 7, 3, 35, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 2, 18, 12, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '38446e6b-e482-47e5-aef8-900ed064ebe7', 'end_date': datetime.datetime(2010, 7, 16, 10, 14, 27), 'start_time': datetime.datetime(2015, 7, 1, 19, 13, 58), 'rate': 1, 'updated_at': datetime.datetime(2014, 2, 25, 12, 53, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e0151136-68ee-4b18-a9e7-b75f67ab8c6a', 'job_description': 'Ameliorated solution-oriented budgetary management', 'start_date': datetime.datetime(2016, 10, 1, 21, 54, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 12, 9, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 12, 2, 47, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '86bf24c9-9d51-4a31-a22f-47e16f1a5940', 'end_date': datetime.datetime(2016, 1, 14, 22, 1, 7), 'start_time': datetime.datetime(2014, 6, 6, 14, 30, 25), 'rate': 1, 'updated_at': datetime.datetime(2017, 9, 22, 2, 41, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '02ed72f3-88af-43f4-8192-61003e1ca557', 'job_description': 'Switchable analyzing flexibility', 'start_date': datetime.datetime(2014, 9, 20, 10, 10, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 3, 0, 0, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 14, 4, 3, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fa956f10-b746-4664-9ed3-be6e69460c7f', 'end_date': datetime.datetime(2017, 8, 3, 18, 32, 44), 'start_time': datetime.datetime(2014, 9, 28, 7, 6, 52), 'rate': 2, 'updated_at': datetime.datetime(2013, 3, 16, 7, 0, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Cook Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'add64d22-1827-4480-a6fc-2d8fab255e56', 'job_description': 'Networked disintermediate intranet', 'start_date': datetime.datetime(2012, 8, 22, 22, 37, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 11, 10, 39, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 24, 23, 41, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f56a5d59-584c-479e-af85-031b347f6c1b', 'end_date': datetime.datetime(2015, 8, 6, 3, 35, 36), 'start_time': datetime.datetime(2013, 8, 29, 11, 24, 16), 'rate': 4, 'updated_at': datetime.datetime(2014, 10, 12, 3, 4, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '437325c1-7a96-4774-a6fd-8e21669971fb', 'job_description': 'Multi-lateral bi-directional installation', 'start_date': datetime.datetime(2014, 7, 6, 22, 55, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 24, 10, 56, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 20, 2, 38, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2fd9806e-cf77-4e43-b094-78841ec95d3f', 'end_date': datetime.datetime(2012, 3, 9, 11, 24, 37), 'start_time': datetime.datetime(2018, 8, 23, 6, 56, 17), 'rate': 3, 'updated_at': datetime.datetime(2014, 9, 18, 15, 36, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0a3d341b-2777-44c9-9a5c-0d664017563e', 'job_description': 'Front-line clear-thinking website', 'start_date': datetime.datetime(2012, 5, 16, 14, 37, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 11, 7, 37, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 5, 6, 37, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '920fa627-9f4e-4dfb-9e46-2c7fa935caf2', 'end_date': datetime.datetime(2017, 9, 9, 19, 50, 8), 'start_time': datetime.datetime(2010, 1, 13, 16, 41, 22), 'rate': 4, 'updated_at': datetime.datetime(2011, 1, 11, 14, 29, 38), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a2334253-403e-4bee-ab0f-1461576e47f4', 'job_description': 'Profit-focused interactive productivity', 'start_date': datetime.datetime(2016, 10, 7, 19, 44, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 9, 10, 35, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 9, 17, 47, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '969fa114-ac04-4616-8691-3ac8141de5dd', 'end_date': datetime.datetime(2016, 9, 3, 6, 32, 59), 'start_time': datetime.datetime(2010, 4, 12, 12, 38, 4), 'rate': 1, 'updated_at': datetime.datetime(2013, 11, 13, 21, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd934afe3-b29f-4514-8d55-b6489f4876e6', 'job_description': 'Pre-emptive systemic frame', 'start_date': datetime.datetime(2015, 5, 27, 20, 17, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 18, 7, 6, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 8, 2, 55, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6da68775-ba1c-4a88-bbb2-9f5a5e6d6aa4', 'end_date': datetime.datetime(2016, 7, 24, 16, 26, 35), 'start_time': datetime.datetime(2018, 1, 5, 18, 31, 13), 'rate': 2, 'updated_at': datetime.datetime(2017, 12, 5, 13, 59, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'be20ed94-1ff0-480b-a78a-5ccbd0384502', 'job_description': 'Down-sized high-level moratorium', 'start_date': datetime.datetime(2011, 11, 21, 4, 54, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 15, 5, 28, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 15, 22, 14, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f301c4f4-ef62-4b89-9ecd-cbcf5832bf54', 'end_date': datetime.datetime(2019, 1, 12, 13, 44, 36), 'start_time': datetime.datetime(2014, 7, 18, 18, 37, 38), 'rate': 3, 'updated_at': datetime.datetime(2017, 6, 12, 7, 32, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a8d72b2a-ab0d-44d8-87e8-b3cfdcc17d93', 'job_description': 'Reverse-engineered leading edge algorithm', 'start_date': datetime.datetime(2017, 9, 27, 3, 45, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 25, 14, 39, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 20, 16, 6, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '97c36dc7-f9dd-4398-a6a9-10edc559bd16', 'end_date': datetime.datetime(2013, 3, 1, 8, 56, 2), 'start_time': datetime.datetime(2010, 4, 1, 8, 57, 57), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 10, 4, 55, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dc1a0065-971e-4e49-9cc8-702620b94b5f', 'job_description': 'Progressive multimedia challenge', 'start_date': datetime.datetime(2011, 6, 15, 0, 8, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 12, 14, 38, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 7, 1, 30, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '50592c5f-a327-45cb-84a2-d78f807bd6a0', 'end_date': datetime.datetime(2018, 8, 11, 18, 17, 1), 'start_time': datetime.datetime(2010, 8, 26, 8, 57, 44), 'rate': 5, 'updated_at': datetime.datetime(2011, 10, 29, 17, 51, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2e9ef4b9-93a7-4cc4-865f-236cb5e760a0', 'job_description': 'Innovative contextually-based model', 'start_date': datetime.datetime(2013, 12, 3, 16, 31, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 24, 18, 25, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 30, 1, 10, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '301b1fd0-610f-40a8-af94-041536dbc5fd', 'end_date': datetime.datetime(2012, 12, 14, 2, 15, 57), 'start_time': datetime.datetime(2016, 1, 24, 1, 34, 51), 'rate': 2, 'updated_at': datetime.datetime(2014, 6, 3, 10, 20, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '357e5a6e-eaba-4f43-8ee7-0ed629fddd88', 'job_description': 'Self-enabling exuding Graphical User Interface', 'start_date': datetime.datetime(2018, 5, 11, 0, 46, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 29, 2, 22, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 7, 22, 20, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24a72fdf-9b76-43e8-aa43-40a6b8a54e1d', 'end_date': datetime.datetime(2015, 10, 12, 13, 46, 38), 'start_time': datetime.datetime(2013, 11, 28, 9, 56, 47), 'rate': 2, 'updated_at': datetime.datetime(2016, 12, 30, 14, 45, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Bahamas', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '427810f1-bb52-4e59-9588-7a155025fcfe', 'job_description': 'Configurable optimizing process improvement', 'start_date': datetime.datetime(2019, 5, 12, 17, 36, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 29, 12, 40, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 23, 1, 1, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2363bb1c-4070-48b2-b3a0-7718fdc5bb70', 'end_date': datetime.datetime(2014, 5, 27, 9, 23, 9), 'start_time': datetime.datetime(2016, 6, 24, 12, 44, 27), 'rate': 2, 'updated_at': datetime.datetime(2010, 10, 10, 23, 3, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Palestinian Territory', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c393c64-dbfa-4aa7-aa1f-fdcca41e3b4f', 'job_description': 'Organic web-enabled function', 'start_date': datetime.datetime(2016, 6, 10, 14, 11, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 11, 11, 14, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 11, 0, 51, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e49e420f-d881-4c54-be80-fa7d6e94766c', 'end_date': datetime.datetime(2010, 7, 28, 16, 22, 19), 'start_time': datetime.datetime(2010, 10, 30, 7, 26, 55), 'rate': 3, 'updated_at': datetime.datetime(2015, 2, 8, 17, 22, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Cambodia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0ed1f113-f026-482e-b79f-954fc1448259', 'job_description': 'Proactive leading edge workforce', 'start_date': datetime.datetime(2014, 6, 16, 0, 13, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 16, 15, 45, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 17, 10, 15, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ade81bbe-a1c4-440a-8019-f662a865c2ec', 'end_date': datetime.datetime(2014, 3, 11, 8, 49, 10), 'start_time': datetime.datetime(2017, 5, 23, 8, 20, 13), 'rate': 3, 'updated_at': datetime.datetime(2019, 2, 16, 13, 18, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Eritrea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '40eba0a3-ed1a-4f23-916c-41f416672cf4', 'job_description': 'Automated maximized paradigm', 'start_date': datetime.datetime(2018, 3, 10, 1, 32, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 27, 18, 40, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 1, 16, 17, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '71ddb468-416f-4f9a-bcbf-896467247926', 'end_date': datetime.datetime(2018, 2, 6, 8, 34, 30), 'start_time': datetime.datetime(2012, 9, 22, 21, 39), 'rate': 4, 'updated_at': datetime.datetime(2019, 11, 7, 14, 47, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Bosnia and Herzegovina', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '29f0e240-69b3-459a-b8a5-655d31d3a26c', 'job_description': 'Enhanced assymetric structure', 'start_date': datetime.datetime(2014, 5, 13, 3, 1, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 22, 12, 52, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 28, 13, 8, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '062f0ea7-c5f6-450c-b610-a959f7444a82', 'end_date': datetime.datetime(2011, 10, 10, 16, 22, 35), 'start_time': datetime.datetime(2018, 7, 4, 6, 48, 44), 'rate': 5, 'updated_at': datetime.datetime(2015, 4, 23, 7, 29, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
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{'_id': '7eb71d5f-1c2d-438c-8f07-7fec24824be0', 'job_description': 'Upgradable analyzing concept', 'start_date': datetime.datetime(2010, 3, 7, 0, 12, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 3, 11, 1, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 6, 20, 29, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bd8decca-2e11-4060-85ad-40b115cc4518', 'end_date': datetime.datetime(2014, 4, 5, 13, 42, 42), 'start_time': datetime.datetime(2018, 6, 10, 8, 41, 46), 'rate': 3, 'updated_at': datetime.datetime(2017, 11, 21, 17, 20, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '73f2b3e0-d10f-4f3a-9bb2-2e99dc41b92a', 'job_description': 'Profound maximized focus group', 'start_date': datetime.datetime(2015, 6, 7, 17, 44, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 29, 13, 52, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 4, 18, 37, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b761adf-4e55-474f-9fbd-0c315699d0d8', 'end_date': datetime.datetime(2015, 3, 24, 20, 31, 3), 'start_time': datetime.datetime(2013, 4, 7, 15, 28, 22), 'rate': 4, 'updated_at': datetime.datetime(2014, 7, 13, 3, 37, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b6301d61-b7e9-4812-8c99-936052c182ce', 'job_description': 'Organized fault-tolerant orchestration', 'start_date': datetime.datetime(2014, 8, 28, 15, 29, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 30, 13, 43, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 27, 18, 5, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4a9cdfe7-fd35-42a3-aaeb-0d64fd8af8ca', 'end_date': datetime.datetime(2012, 12, 14, 15, 50, 34), 'start_time': datetime.datetime(2019, 11, 15, 20, 31, 25), 'rate': 5, 'updated_at': datetime.datetime(2016, 4, 7, 6, 39, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
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{'_id': '489c9628-298a-46d6-a2a2-eb09db57e406', 'job_description': 'Phased regional migration', 'start_date': datetime.datetime(2011, 6, 29, 13, 21, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 8, 1, 55, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 15, 18, 45, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '449051e6-6049-4c65-97b8-0acb0755bb8e', 'end_date': datetime.datetime(2011, 1, 27, 11, 32, 27), 'start_time': datetime.datetime(2011, 6, 1, 4, 39, 24), 'rate': 4, 'updated_at': datetime.datetime(2017, 1, 2, 17, 2, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ea01b652-e259-46e1-b6f9-948c995945d4', 'job_description': 'Configurable secondary emulation', 'start_date': datetime.datetime(2011, 10, 7, 5, 25, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 5, 21, 16, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 7, 22, 13, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7d670b12-08f2-4a0a-a224-94ddba69f37f', 'end_date': datetime.datetime(2010, 7, 8, 20, 25, 1), 'start_time': datetime.datetime(2015, 9, 17, 23, 3, 24), 'rate': 1, 'updated_at': datetime.datetime(2010, 7, 6, 9, 35, 54), 'job_title': 'CoffeeMaker', 'service_id': 'British Indian Ocean Territory (Chagos Archipelago)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c9932dd4-858a-4956-b754-ea795b7d0759', 'job_description': 'Total impactful installation', 'start_date': datetime.datetime(2016, 5, 28, 12, 53, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 2, 4, 14, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 3, 3, 9, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '88093df6-741e-4948-bde4-e37c514100d7', 'end_date': datetime.datetime(2015, 5, 2, 8, 43, 15), 'start_time': datetime.datetime(2011, 11, 8, 12, 11, 52), 'rate': 2, 'updated_at': datetime.datetime(2017, 11, 8, 19, 9, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Tokelau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'badb53c3-d74d-4dd2-a953-526a2cb997b3', 'job_description': 'Profit-focused local productivity', 'start_date': datetime.datetime(2014, 2, 22, 22, 27, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 12, 12, 34, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 19, 21, 30, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2d69c9c-ec19-4acb-8512-909aef123482', 'end_date': datetime.datetime(2015, 11, 3, 19, 40, 23), 'start_time': datetime.datetime(2016, 4, 19, 15, 55, 6), 'rate': 4, 'updated_at': datetime.datetime(2017, 4, 9, 19, 10, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9aabf454-a0e1-4345-96f6-2ae1b1bd0601', 'job_description': 'Synergized upward-trending data-warehouse', 'start_date': datetime.datetime(2015, 1, 17, 16, 9, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 17, 0, 7, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 30, 4, 38, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5a4bcb92-8b32-4c38-a880-ff5acdddc93a', 'end_date': datetime.datetime(2013, 3, 30, 10, 23, 48), 'start_time': datetime.datetime(2017, 5, 10, 3, 46, 1), 'rate': 5, 'updated_at': datetime.datetime(2018, 3, 18, 11, 1, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7af9d2fb-ffb4-49cb-bf14-4f4d82ac2f91', 'job_description': 'Seamless 5th generation circuit', 'start_date': datetime.datetime(2015, 1, 22, 7, 33, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 28, 17, 8, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 26, 14, 32, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'be86f2b3-5530-45cf-b753-0afb97b62ae7', 'end_date': datetime.datetime(2012, 4, 20, 6, 1, 30), 'start_time': datetime.datetime(2016, 2, 8, 9, 27, 41), 'rate': 5, 'updated_at': datetime.datetime(2015, 12, 17, 11, 7, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '901ed2cb-28db-47c4-abf6-60113514dfe6', 'job_description': 'Face to face 5th generation knowledge user', 'start_date': datetime.datetime(2012, 12, 30, 4, 25, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 5, 10, 49, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 11, 17, 24, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57075c23-645c-45c7-a98d-532f0a3496e2', 'end_date': datetime.datetime(2014, 5, 23, 22, 25, 46), 'start_time': datetime.datetime(2015, 3, 17, 6, 30, 32), 'rate': 5, 'updated_at': datetime.datetime(2012, 10, 4, 22, 48, 39), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
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{'_id': 'f685891f-d37e-4fb7-aaa1-f3c96a6a2c15', 'job_description': 'Progressive contextually-based hub', 'start_date': datetime.datetime(2014, 1, 3, 11, 39, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 13, 9, 56, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 10, 14, 28, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9a8785cd-6669-4002-8236-4ddc2f83036e', 'end_date': datetime.datetime(2018, 1, 9, 5, 55, 33), 'start_time': datetime.datetime(2019, 8, 30, 3, 55, 46), 'rate': 3, 'updated_at': datetime.datetime(2010, 1, 26, 13, 10, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c9fcbbf4-7630-4834-89bd-293f50b01550', 'job_description': 'Visionary 6th generation intranet', 'start_date': datetime.datetime(2014, 11, 9, 19, 53, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 26, 23, 6, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 7, 11, 14, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f1bcd9a-0450-4722-b7e1-3ad0a33c7569', 'end_date': datetime.datetime(2013, 9, 28, 14, 11), 'start_time': datetime.datetime(2010, 7, 16, 6, 25, 11), 'rate': 5, 'updated_at': datetime.datetime(2015, 6, 16, 2, 1, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
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{'_id': '875f265b-e2fd-4ab6-8fe9-87024e3a3ede', 'job_description': 'Extended bifurcated service-desk', 'start_date': datetime.datetime(2012, 1, 14, 22, 4, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 23, 1, 31, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 15, 13, 16, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1cf43aa2-73f8-4f86-8c98-a5350693d96c', 'end_date': datetime.datetime(2015, 1, 9, 8, 41, 45), 'start_time': datetime.datetime(2012, 11, 18, 23, 36, 35), 'rate': 5, 'updated_at': datetime.datetime(2014, 5, 8, 15, 13, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a8f255c6-0d40-4f57-8cd6-d841937ad058', 'job_description': 'Multi-lateral systematic benchmark', 'start_date': datetime.datetime(2013, 5, 25, 12, 24, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 10, 11, 19, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 3, 1, 52, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4a1bd6d6-5bfd-4151-b587-ddd420936a77', 'end_date': datetime.datetime(2017, 12, 31, 17, 33, 35), 'start_time': datetime.datetime(2016, 5, 31, 11, 45, 8), 'rate': 5, 'updated_at': datetime.datetime(2012, 12, 14, 11, 49, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c600fbe4-7b22-4620-870f-dc1cf405c182', 'job_description': 'Innovative contextually-based solution', 'start_date': datetime.datetime(2011, 3, 30, 11, 5, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 27, 21, 43, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 11, 0, 25, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '43c5589f-97f9-4734-b59b-2312e9b5899b', 'end_date': datetime.datetime(2015, 10, 6, 1, 17, 54), 'start_time': datetime.datetime(2015, 7, 20, 22, 15, 2), 'rate': 4, 'updated_at': datetime.datetime(2013, 9, 20, 17, 27, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '465cdf72-a8a6-4024-9d64-7a80d842c0eb', 'job_description': 'Configurable 3rd generation architecture', 'start_date': datetime.datetime(2014, 1, 15, 2, 59, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 2, 14, 28, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 3, 3, 57, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2ff9ac5e-b20b-40bc-b655-740c3cbe21e6', 'end_date': datetime.datetime(2016, 7, 25, 1, 28, 24), 'start_time': datetime.datetime(2015, 10, 13, 11, 50, 55), 'rate': 2, 'updated_at': datetime.datetime(2010, 12, 27, 10, 32, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a725068b-2199-495b-b8d4-782222246a5f', 'job_description': 'Persevering eco-centric knowledge user', 'start_date': datetime.datetime(2016, 10, 5, 18, 39, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 24, 22, 53, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 15, 7, 39, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c545be53-5721-40f6-bf04-6de35fa34877', 'end_date': datetime.datetime(2019, 8, 25, 20, 44, 31), 'start_time': datetime.datetime(2017, 7, 27, 4, 38, 23), 'rate': 2, 'updated_at': datetime.datetime(2019, 11, 8, 10, 14, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6f9d5c60-5665-4c24-8441-87a1ab3a1a98', 'job_description': 'Synergized 24 hour archive', 'start_date': datetime.datetime(2010, 12, 25, 6, 21, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 6, 12, 45, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 28, 0, 48, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '95e43f02-a5ca-45de-b792-3f4c04e3aee6', 'end_date': datetime.datetime(2013, 10, 4, 15, 31, 49), 'start_time': datetime.datetime(2012, 5, 31, 13, 29, 45), 'rate': 4, 'updated_at': datetime.datetime(2010, 2, 19, 13, 27, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Benin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0950f52c-b5df-4c73-b3b1-14f7725e0e38', 'job_description': 'Fundamental non-volatile Graphical User Interface', 'start_date': datetime.datetime(2013, 2, 26, 22, 40, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 23, 18, 12, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 15, 10, 47, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '03286cbe-2131-44db-957f-16cdc03f0df7', 'end_date': datetime.datetime(2012, 4, 16, 7, 28, 29), 'start_time': datetime.datetime(2014, 10, 19, 22, 58, 52), 'rate': 2, 'updated_at': datetime.datetime(2011, 5, 10, 4, 32, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f2cefa99-e255-4560-a0bd-4e5194798220', 'job_description': 'Sharable zero tolerance encryption', 'start_date': datetime.datetime(2018, 9, 29, 22, 52, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 12, 0, 11, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 23, 7, 4, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c97aa8f0-9f12-4cb3-a2e8-c5db1fed76df', 'end_date': datetime.datetime(2019, 8, 12, 4, 46, 42), 'start_time': datetime.datetime(2011, 9, 7, 16, 11, 49), 'rate': 1, 'updated_at': datetime.datetime(2011, 3, 13, 18, 52, 32), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '65a79092-11bc-4849-a3fb-51299e989ebb', 'job_description': 'Stand-alone tangible flexibility', 'start_date': datetime.datetime(2014, 11, 24, 22, 57, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 2, 1, 49, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 21, 9, 48, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd1be7bc7-76f2-49cd-ba28-0f4f035b48ad', 'end_date': datetime.datetime(2011, 8, 29, 17, 40, 23), 'start_time': datetime.datetime(2018, 8, 5, 8, 34, 37), 'rate': 1, 'updated_at': datetime.datetime(2018, 1, 18, 1, 0, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '51121b19-990c-4604-9935-6e2f1df68b3c', 'job_description': 'De-engineered client-server implementation', 'start_date': datetime.datetime(2019, 4, 26, 8, 5, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 10, 11, 40, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 4, 19, 46, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a6a61a20-c770-478a-aacf-2bb670bc6f65', 'end_date': datetime.datetime(2011, 12, 23, 3, 11, 39), 'start_time': datetime.datetime(2018, 8, 16, 21, 1, 58), 'rate': 4, 'updated_at': datetime.datetime(2018, 9, 11, 22, 48, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '879ec326-462e-4e97-8c42-f27b14ece793', 'job_description': 'Reactive web-enabled portal', 'start_date': datetime.datetime(2015, 7, 7, 16, 40, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 12, 16, 24, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 13, 0, 52, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e664e25a-0fdb-4396-9277-087114362259', 'end_date': datetime.datetime(2015, 3, 10, 0, 0, 28), 'start_time': datetime.datetime(2013, 3, 28, 5, 5, 38), 'rate': 5, 'updated_at': datetime.datetime(2018, 11, 4, 4, 0, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '48849a84-ddda-401c-841d-8b36f88a7cfd', 'job_description': 'Team-oriented radical firmware', 'start_date': datetime.datetime(2018, 12, 14, 7, 39, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 24, 6, 12, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 21, 5, 5, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bbe23cfa-e062-44a7-8cde-981ceaa41f29', 'end_date': datetime.datetime(2010, 12, 20, 11, 38, 36), 'start_time': datetime.datetime(2013, 2, 27, 6, 44, 34), 'rate': 3, 'updated_at': datetime.datetime(2018, 3, 1, 7, 25, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Pakistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cf93df97-a77a-4871-b0b9-680521a87d44', 'job_description': 'Configurable maximized algorithm', 'start_date': datetime.datetime(2016, 3, 2, 8, 24, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 31, 2, 31, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 24, 15, 39, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b809773d-4821-42dc-b3f8-11e4afdc0d8f', 'end_date': datetime.datetime(2013, 8, 11, 6, 43, 49), 'start_time': datetime.datetime(2016, 7, 8, 1, 0, 59), 'rate': 3, 'updated_at': datetime.datetime(2018, 4, 11, 8, 4, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8331cbd-88f2-4c3a-b2e3-4b6d3cedbe04', 'job_description': 'Multi-channelled user-facing data-warehouse', 'start_date': datetime.datetime(2019, 2, 7, 12, 0, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 11, 14, 43, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 21, 14, 49, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dfd8d0bf-9868-4885-8bb5-fd9417d799ec', 'end_date': datetime.datetime(2016, 7, 19, 17, 18, 6), 'start_time': datetime.datetime(2013, 8, 24, 5, 22, 53), 'rate': 2, 'updated_at': datetime.datetime(2015, 12, 25, 16, 44, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'caf128cd-5f6e-42e2-87df-87cc9c1973dc', 'job_description': 'Function-based bottom-line hub', 'start_date': datetime.datetime(2011, 10, 19, 7, 38, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 24, 7, 15, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 9, 23, 42, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0e36f811-dce1-4b83-8ec5-699e8d9bbf0f', 'end_date': datetime.datetime(2014, 2, 7, 21, 55, 45), 'start_time': datetime.datetime(2013, 1, 26, 7, 53, 13), 'rate': 5, 'updated_at': datetime.datetime(2019, 5, 3, 22, 31, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e89bc857-6326-4ab1-b45a-773d622f4def', 'job_description': 'Decentralized user-facing function', 'start_date': datetime.datetime(2011, 5, 4, 6, 12, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 27, 9, 21, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 3, 10, 56, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '25f5157d-fdce-472a-86e1-34d7b8184c08', 'end_date': datetime.datetime(2013, 11, 8, 4, 13, 9), 'start_time': datetime.datetime(2017, 12, 19, 5, 24, 13), 'rate': 3, 'updated_at': datetime.datetime(2014, 10, 28, 22, 57, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c22019e-b100-488f-bd18-039c35c60b6d', 'job_description': 'Re-engineered dedicated array', 'start_date': datetime.datetime(2019, 9, 19, 12, 28, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 3, 4, 12, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 6, 12, 51, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7d519ce2-792d-42d3-8f28-71621adac43f', 'end_date': datetime.datetime(2019, 1, 15, 2, 19, 24), 'start_time': datetime.datetime(2014, 11, 19, 21, 33, 58), 'rate': 3, 'updated_at': datetime.datetime(2018, 11, 27, 3, 18, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10b7cb14-477b-4166-b818-77765383057c', 'job_description': 'Operative incremental approach', 'start_date': datetime.datetime(2014, 11, 22, 18, 18, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 9, 1, 1, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 24, 17, 22, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b7a2ae36-5ee6-49b8-bb1a-252a2668a035', 'end_date': datetime.datetime(2011, 2, 19, 1, 51, 34), 'start_time': datetime.datetime(2011, 1, 20, 6, 0, 12), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 11, 21, 22, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2474541e-e9c8-40f2-af81-3a8a3ed3d6a6', 'job_description': 'Switchable bottom-line leverage', 'start_date': datetime.datetime(2018, 5, 10, 19, 14, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 23, 7, 39, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 12, 1, 58, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '451c63fd-eb22-45f2-acd9-58b9a8f29e3b', 'end_date': datetime.datetime(2014, 6, 4, 10, 40, 31), 'start_time': datetime.datetime(2016, 2, 6, 2, 27, 24), 'rate': 2, 'updated_at': datetime.datetime(2013, 11, 24, 16, 41, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Bulgaria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8507ec5a-59ad-4281-bf33-1b23c764c422', 'job_description': 'Total systemic leverage', 'start_date': datetime.datetime(2014, 9, 21, 8, 16, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 12, 18, 18, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 7, 11, 51, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '320adff4-2f71-40f3-8b89-3f40f79330cc', 'end_date': datetime.datetime(2017, 11, 2, 1, 27, 29), 'start_time': datetime.datetime(2012, 1, 19, 21, 2, 31), 'rate': 5, 'updated_at': datetime.datetime(2018, 8, 18, 10, 36, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '87fc6352-62af-4225-a9b0-cf4d4ce42781', 'job_description': 'Total actuating service-desk', 'start_date': datetime.datetime(2016, 7, 23, 18, 15, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 26, 15, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 3, 19, 30, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e696179c-cdfb-40b7-93bf-6da51b8d8ed2', 'end_date': datetime.datetime(2019, 5, 8, 11, 11, 51), 'start_time': datetime.datetime(2010, 1, 30, 22, 18, 24), 'rate': 2, 'updated_at': datetime.datetime(2016, 8, 14, 16, 16, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dbc312db-3977-4dff-9b85-1f4a3ffc2485', 'job_description': 'Customer-focused scalable concept', 'start_date': datetime.datetime(2018, 6, 4, 18, 34, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 25, 4, 2, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 15, 2, 14, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '27225e27-a79f-45c5-ac2b-af201d2eeae0', 'end_date': datetime.datetime(2018, 7, 23, 11, 47, 52), 'start_time': datetime.datetime(2012, 11, 17, 16, 39, 21), 'rate': 2, 'updated_at': datetime.datetime(2011, 4, 22, 3, 36, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd3d9bf41-c5e5-41c4-ae9a-0879c2682c48', 'job_description': 'Pre-emptive next generation time-frame', 'start_date': datetime.datetime(2019, 1, 1, 23, 57, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 25, 6, 28, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 15, 4, 50, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77c9f885-09a7-42b9-9f5a-0e10f076e38f', 'end_date': datetime.datetime(2014, 1, 21, 2, 49, 7), 'start_time': datetime.datetime(2014, 3, 20, 3, 52, 17), 'rate': 4, 'updated_at': datetime.datetime(2011, 7, 17, 12, 20, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '39c650ed-51f4-40ec-bdf7-df0138f2cac1', 'job_description': 'Virtual methodical service-desk', 'start_date': datetime.datetime(2019, 9, 3, 13, 42, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 27, 11, 38, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 9, 2, 7, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '25669a03-c592-4857-b801-085173757997', 'end_date': datetime.datetime(2016, 8, 19, 10, 3, 39), 'start_time': datetime.datetime(2013, 4, 17, 21, 57, 4), 'rate': 3, 'updated_at': datetime.datetime(2013, 5, 18, 10, 50, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9d7a4819-678c-432b-a569-d853dd0febb6', 'job_description': 'Open-source scalable hierarchy', 'start_date': datetime.datetime(2012, 10, 28, 16, 6, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 5, 6, 48, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 2, 15, 59, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '61bec359-ba6d-46a5-b76a-8aa203fe38c9', 'end_date': datetime.datetime(2012, 7, 25, 22, 45, 56), 'start_time': datetime.datetime(2010, 2, 11, 22, 2, 19), 'rate': 3, 'updated_at': datetime.datetime(2011, 7, 11, 8, 6, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4273762d-34cf-4191-9f05-eab07aed3af9', 'job_description': 'Right-sized web-enabled process improvement', 'start_date': datetime.datetime(2018, 9, 9, 16, 6, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 12, 5, 51, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 21, 14, 18, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dbab0f4b-1144-43e7-88bd-46d350bfdc44', 'end_date': datetime.datetime(2017, 5, 1, 3, 19, 8), 'start_time': datetime.datetime(2018, 6, 6, 22, 16, 52), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 9, 12, 40, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Egypt', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8f47dc89-0287-47e0-8748-1c8d5708d972', 'job_description': 'Visionary bottom-line knowledge base', 'start_date': datetime.datetime(2016, 7, 7, 11, 12, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 27, 9, 42, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 6, 6, 49, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24878e7d-42fa-4ad0-b1f6-c6f18a0057c2', 'end_date': datetime.datetime(2012, 8, 18, 6, 36, 16), 'start_time': datetime.datetime(2011, 1, 22, 20, 1, 34), 'rate': 5, 'updated_at': datetime.datetime(2017, 2, 28, 14, 35, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1ba616fc-e8a2-4fcd-b55c-31b535a2ae62', 'job_description': 'User-centric fresh-thinking concept', 'start_date': datetime.datetime(2012, 3, 26, 15, 55, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 10, 5, 24, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 15, 17, 52, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ba5a6844-4905-47fe-87ba-20822720f77f', 'end_date': datetime.datetime(2013, 6, 30, 0, 48, 20), 'start_time': datetime.datetime(2018, 3, 29, 21, 35, 58), 'rate': 3, 'updated_at': datetime.datetime(2017, 10, 13, 18, 12, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1ec5c8b1-cf78-4898-bdaa-a3508f643631', 'job_description': 'Reactive composite hardware', 'start_date': datetime.datetime(2010, 12, 27, 22, 47, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 23, 5, 28, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 9, 9, 26, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2303ff66-8385-4c0f-abba-466a6850b77c', 'end_date': datetime.datetime(2014, 4, 3, 3, 44, 9), 'start_time': datetime.datetime(2014, 4, 10, 3, 24, 21), 'rate': 2, 'updated_at': datetime.datetime(2018, 12, 21, 10, 24, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2b93aadd-2364-4488-b921-aee1d4699ee9', 'job_description': 'Optional empowering support', 'start_date': datetime.datetime(2010, 8, 22, 17, 36, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 19, 20, 35, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 11, 20, 50, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '07211bd8-3277-48a6-b81d-143de6ac7b31', 'end_date': datetime.datetime(2019, 10, 28, 22, 36, 21), 'start_time': datetime.datetime(2010, 7, 23, 1, 57, 3), 'rate': 5, 'updated_at': datetime.datetime(2012, 3, 17, 7, 28, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '17192e62-780b-4767-adbd-6193b7b501be', 'job_description': 'Front-line methodical conglomeration', 'start_date': datetime.datetime(2014, 11, 12, 11, 13, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 19, 10, 19, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 8, 13, 36, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aac4df8d-83d3-4901-83c2-48ca60820e21', 'end_date': datetime.datetime(2012, 6, 24, 10, 37, 14), 'start_time': datetime.datetime(2013, 4, 22, 12, 6, 28), 'rate': 5, 'updated_at': datetime.datetime(2014, 8, 11, 0, 56, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '76556b1a-da4f-4805-8ff7-1ccced3d3ce1', 'job_description': 'Synergized optimizing encryption', 'start_date': datetime.datetime(2014, 4, 12, 19, 58, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 28, 17, 55, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 10, 11, 10, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f0da9ea-50b6-4b94-956a-16dbf57a902c', 'end_date': datetime.datetime(2016, 6, 17, 6, 58, 52), 'start_time': datetime.datetime(2019, 6, 2, 0, 20, 29), 'rate': 4, 'updated_at': datetime.datetime(2015, 9, 30, 1, 56, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '167a012f-79a4-43f9-a076-cb6b98565dae', 'job_description': 'Extended maximized focus group', 'start_date': datetime.datetime(2018, 11, 4, 4, 58, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 21, 20, 31, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 10, 14, 21, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2049bacd-880b-4d05-9de6-130a609e8557', 'end_date': datetime.datetime(2010, 11, 6, 1, 19, 19), 'start_time': datetime.datetime(2010, 8, 4, 15, 44, 50), 'rate': 3, 'updated_at': datetime.datetime(2018, 3, 12, 21, 19, 59), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ee4eca7-96e8-4dc5-8ddc-09155fe7d99a', 'job_description': 'Synergized local local area network', 'start_date': datetime.datetime(2017, 12, 6, 21, 10, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 22, 15, 14, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 23, 1, 14, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b045a443-0971-4831-b5e6-9aa9b089d63e', 'end_date': datetime.datetime(2018, 1, 9, 22, 46, 43), 'start_time': datetime.datetime(2010, 10, 6, 8, 13, 25), 'rate': 2, 'updated_at': datetime.datetime(2011, 2, 14, 9, 26, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e0a537cb-485c-4395-8df4-56a794816616', 'job_description': 'Function-based needs-based capacity', 'start_date': datetime.datetime(2014, 1, 20, 21, 57, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 10, 8, 33, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 15, 5, 36, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '64b30ec1-2d11-4dd0-a315-75afc303a62d', 'end_date': datetime.datetime(2018, 2, 22, 1, 15, 48), 'start_time': datetime.datetime(2018, 11, 16, 0, 14, 48), 'rate': 3, 'updated_at': datetime.datetime(2013, 1, 5, 12, 25, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '03027eea-0040-4b6a-ba10-a38a3fad62f5', 'job_description': 'Fully-configurable background concept', 'start_date': datetime.datetime(2017, 1, 12, 14, 13, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 21, 16, 1, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 11, 9, 22, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '64d37488-d0fa-48b5-8d84-c50239c967ee', 'end_date': datetime.datetime(2014, 1, 6, 13, 39, 52), 'start_time': datetime.datetime(2018, 10, 25, 15, 37, 22), 'rate': 2, 'updated_at': datetime.datetime(2012, 8, 7, 6, 44, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '20e6cbdc-478f-40f0-9445-22ab02790850', 'job_description': 'Configurable solution-oriented moratorium', 'start_date': datetime.datetime(2018, 7, 10, 0, 21, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 9, 17, 37, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 24, 5, 26, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '701b68ad-1e8d-41e0-8d03-2569c9faca8a', 'end_date': datetime.datetime(2015, 2, 27, 21, 28, 8), 'start_time': datetime.datetime(2016, 4, 17, 4, 4, 49), 'rate': 2, 'updated_at': datetime.datetime(2018, 6, 14, 1, 8, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e114b201-ca3f-4472-a95c-bea28dd2ceff', 'job_description': 'Managed 24/7 intranet', 'start_date': datetime.datetime(2015, 4, 16, 13, 56, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 29, 20, 10, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 30, 5, 3, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fcc9eac9-fddc-44f9-936f-47b856d0ace7', 'end_date': datetime.datetime(2019, 7, 16, 19, 13, 42), 'start_time': datetime.datetime(2019, 9, 15, 20, 13, 50), 'rate': 5, 'updated_at': datetime.datetime(2014, 7, 31, 13, 49, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fba14a89-d2e3-485d-b2df-c6883a93c9ad', 'job_description': 'Realigned intangible hierarchy', 'start_date': datetime.datetime(2018, 4, 9, 1, 40, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 26, 1, 48, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 4, 6, 33, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c77e9be2-daf7-4a68-a7e4-1551816b4325', 'end_date': datetime.datetime(2014, 7, 3, 12, 27, 8), 'start_time': datetime.datetime(2019, 10, 2, 3, 12, 50), 'rate': 3, 'updated_at': datetime.datetime(2016, 8, 14, 21, 52, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '17cf4236-05b3-4203-b0f3-794faa39eeff', 'job_description': 'Business-focused actuating local area network', 'start_date': datetime.datetime(2014, 9, 20, 12, 52, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 2, 1, 17, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 11, 17, 12, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a681c98-39ca-4f9d-998a-b09d7c5c77d8', 'end_date': datetime.datetime(2012, 2, 26, 6, 50, 24), 'start_time': datetime.datetime(2018, 9, 12, 22, 33, 52), 'rate': 5, 'updated_at': datetime.datetime(2010, 12, 27, 7, 22, 34), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '907454d0-d1ad-4246-8132-c325a8eca9e7', 'job_description': 'Business-focused methodical hierarchy', 'start_date': datetime.datetime(2015, 6, 21, 11, 56, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 28, 4, 0, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 10, 1, 27, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9257644f-6a35-4bac-ae31-0a75c824bda4', 'end_date': datetime.datetime(2016, 4, 24, 15, 34, 52), 'start_time': datetime.datetime(2010, 6, 14, 2, 59, 46), 'rate': 1, 'updated_at': datetime.datetime(2010, 7, 21, 2, 1, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '536d60b3-4806-48c4-bfe8-770cef84840d', 'job_description': 'Up-sized solution-oriented methodology', 'start_date': datetime.datetime(2011, 8, 9, 17, 4, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 13, 0, 2, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 20, 16, 50, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e72c14f6-04a1-4295-9573-d8f8cee71916', 'end_date': datetime.datetime(2018, 10, 19, 11, 38, 59), 'start_time': datetime.datetime(2012, 11, 30, 7, 16, 45), 'rate': 4, 'updated_at': datetime.datetime(2019, 6, 28, 7, 1, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '24d4d14d-ac9c-491e-aaa9-be7ce7a13558', 'job_description': 'Cloned methodical intranet', 'start_date': datetime.datetime(2014, 4, 27, 8, 20, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 18, 12, 39, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 19, 12, 51, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '34f7dc97-da64-4f5c-bee3-22e52ffbc04b', 'end_date': datetime.datetime(2016, 7, 23, 20, 57, 58), 'start_time': datetime.datetime(2015, 11, 1, 21, 12, 59), 'rate': 4, 'updated_at': datetime.datetime(2016, 4, 6, 22, 45, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '05e45c9b-7ff7-4f84-8d8d-545ecbe987e0', 'job_description': 'Progressive didactic knowledge user', 'start_date': datetime.datetime(2010, 3, 13, 15, 28, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 29, 17, 14, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 6, 23, 25, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd630826b-2206-4ca2-9696-9e667646c5b6', 'end_date': datetime.datetime(2016, 10, 31, 7, 19, 20), 'start_time': datetime.datetime(2013, 11, 9, 13, 7, 1), 'rate': 2, 'updated_at': datetime.datetime(2011, 3, 9, 15, 7, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6eec127e-8856-49e9-9bad-a5e19ff0ef03', 'job_description': 'Stand-alone intangible infrastructure', 'start_date': datetime.datetime(2010, 1, 20, 21, 35, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 24, 6, 17, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 27, 15, 12, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4cb2b1b6-0db5-4b60-b6cf-ac0faa1bb5f6', 'end_date': datetime.datetime(2010, 5, 3, 14, 16, 2), 'start_time': datetime.datetime(2019, 7, 22, 7, 42, 20), 'rate': 2, 'updated_at': datetime.datetime(2013, 3, 31, 14, 9, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1c80a59f-bcc3-492d-a19c-aab911a4ac56', 'job_description': 'Extended holistic website', 'start_date': datetime.datetime(2015, 3, 4, 6, 45, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 14, 0, 46, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 27, 2, 23, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a6a6d984-c225-434d-a00d-fbbc201f336e', 'end_date': datetime.datetime(2016, 9, 14, 14, 57, 25), 'start_time': datetime.datetime(2012, 6, 24, 3, 15, 33), 'rate': 1, 'updated_at': datetime.datetime(2015, 8, 26, 0, 5, 23), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '891b59ea-0e4f-48a7-b4ff-247835b67d3c', 'job_description': 'Object-based upward-trending policy', 'start_date': datetime.datetime(2011, 8, 31, 8, 38, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 12, 0, 37, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 17, 23, 26, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '667c1ac3-217c-48a5-8990-63f69b981a77', 'end_date': datetime.datetime(2015, 7, 22, 5, 5, 53), 'start_time': datetime.datetime(2018, 8, 21, 5, 3, 6), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 22, 2, 43, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Nauru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2a2aded9-9980-41bb-8995-461968d31bb8', 'job_description': 'Versatile executive middleware', 'start_date': datetime.datetime(2016, 10, 24, 18, 19, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 14, 1, 2, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 24, 13, 48, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cd88ac90-3af9-4c8b-8f31-28076eb17b6b', 'end_date': datetime.datetime(2018, 10, 23, 6, 17, 31), 'start_time': datetime.datetime(2013, 1, 23, 1, 38, 23), 'rate': 4, 'updated_at': datetime.datetime(2015, 10, 27, 1, 59, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a7c810a4-1da3-42cf-994f-a51fad060924', 'job_description': 'Innovative value-added matrix', 'start_date': datetime.datetime(2016, 10, 25, 11, 11, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 23, 13, 20, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 25, 5, 42, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a10abd62-aa81-4467-a1cf-ddaa5b4ab40b', 'end_date': datetime.datetime(2014, 12, 15, 0, 26, 51), 'start_time': datetime.datetime(2013, 1, 26, 12, 2, 26), 'rate': 2, 'updated_at': datetime.datetime(2012, 9, 13, 6, 50, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2bf539ab-9e21-4d9a-bd12-a093438de554', 'job_description': 'Down-sized dedicated standardization', 'start_date': datetime.datetime(2014, 12, 20, 13, 16, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 2, 23, 22, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 8, 2, 55, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'da96a022-461f-49e6-ace5-1a2bbe10d46c', 'end_date': datetime.datetime(2017, 1, 31, 14, 3, 47), 'start_time': datetime.datetime(2018, 10, 27, 4, 14, 59), 'rate': 3, 'updated_at': datetime.datetime(2016, 9, 15, 3, 0, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f7dc8a40-05dc-4c04-aee1-c272225cc57d', 'job_description': 'Self-enabling national software', 'start_date': datetime.datetime(2015, 5, 23, 13, 10, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 22, 18, 28, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 1, 5, 51, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '64137a08-3888-42a5-923d-9030666a2bcc', 'end_date': datetime.datetime(2018, 2, 23, 20, 11, 9), 'start_time': datetime.datetime(2014, 9, 16, 5, 6, 3), 'rate': 1, 'updated_at': datetime.datetime(2019, 8, 14, 17, 44, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '00a84de8-7aef-4d17-ae15-0f2f04049271', 'job_description': 'Customer-focused mobile projection', 'start_date': datetime.datetime(2017, 12, 5, 4, 17, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 13, 21, 55, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 10, 9, 20, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '757ab204-410a-45b1-bdc3-55b52b02735f', 'end_date': datetime.datetime(2014, 3, 22, 18, 15, 43), 'start_time': datetime.datetime(2010, 8, 7, 10, 35, 22), 'rate': 2, 'updated_at': datetime.datetime(2012, 11, 8, 19, 44, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Oman', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '479cde9d-8a8f-445c-bfb7-e3b1ab130ba7', 'job_description': 'Enterprise-wide client-server collaboration', 'start_date': datetime.datetime(2015, 4, 29, 7, 30, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 29, 5, 36, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 27, 2, 8, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a1a214e-85c0-41b2-a8db-1172323127c0', 'end_date': datetime.datetime(2018, 7, 11, 12, 41, 9), 'start_time': datetime.datetime(2016, 3, 6, 1, 49, 37), 'rate': 1, 'updated_at': datetime.datetime(2011, 12, 16, 17, 19, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '428f6f6a-9e08-43e5-88de-058e386564d5', 'job_description': 'Inverse foreground adapter', 'start_date': datetime.datetime(2016, 10, 8, 1, 26, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 6, 10, 19, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 18, 6, 2, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4daedf5b-f892-44ac-a322-d60f82e77d85', 'end_date': datetime.datetime(2010, 10, 1, 17, 40, 20), 'start_time': datetime.datetime(2011, 3, 9, 21, 50, 31), 'rate': 1, 'updated_at': datetime.datetime(2012, 12, 28, 18, 9, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a3b8ddf4-4c75-476a-867c-c2ecdc347b12', 'job_description': 'Synchronised eco-centric approach', 'start_date': datetime.datetime(2017, 5, 25, 7, 3, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 24, 12, 53, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 29, 2, 6, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8f40898e-23e5-4ef4-848b-aa43f66e7845', 'end_date': datetime.datetime(2011, 5, 5, 6, 57, 17), 'start_time': datetime.datetime(2015, 3, 30, 7, 59, 25), 'rate': 4, 'updated_at': datetime.datetime(2014, 4, 6, 14, 14, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '87e3010e-8fd8-4ee8-a8a3-ed63202c721f', 'job_description': 'Function-based grid-enabled toolset', 'start_date': datetime.datetime(2012, 8, 23, 8, 37, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 25, 21, 29, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 23, 19, 7, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b06d9b64-f4a9-453f-8e99-a055e1b060b1', 'end_date': datetime.datetime(2012, 12, 14, 0, 8, 31), 'start_time': datetime.datetime(2015, 7, 21, 3, 22, 30), 'rate': 5, 'updated_at': datetime.datetime(2011, 3, 29, 16, 28, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Angola', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '104004ce-9e7c-439f-81b9-acf04e301b51', 'job_description': 'Total global customer loyalty', 'start_date': datetime.datetime(2012, 9, 9, 4, 6, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 18, 17, 49, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 25, 1, 0, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4a922c12-0283-4e41-84dd-7306845627b8', 'end_date': datetime.datetime(2011, 11, 11, 14, 55, 16), 'start_time': datetime.datetime(2015, 7, 7, 12, 35, 51), 'rate': 2, 'updated_at': datetime.datetime(2017, 6, 5, 5, 30, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '423b9c0b-e911-4f49-8f99-c636d6b60e21', 'job_description': 'Phased foreground framework', 'start_date': datetime.datetime(2014, 9, 15, 10, 9, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 17, 21, 48, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 11, 19, 34, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '006f4586-0263-4192-b399-966e44078483', 'end_date': datetime.datetime(2014, 3, 21, 18, 21, 2), 'start_time': datetime.datetime(2010, 11, 13, 9, 28, 6), 'rate': 3, 'updated_at': datetime.datetime(2016, 5, 19, 9, 24, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '354ff87a-8407-4889-8ec7-d0f7daf68b44', 'job_description': 'Robust transitional adapter', 'start_date': datetime.datetime(2015, 2, 15, 9, 53, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 1, 3, 11, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 3, 3, 13, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '314b6156-817e-4a1d-bffb-2f04a5624bae', 'end_date': datetime.datetime(2015, 5, 27, 9, 7, 22), 'start_time': datetime.datetime(2019, 5, 26, 7, 6, 37), 'rate': 2, 'updated_at': datetime.datetime(2016, 6, 23, 3, 30, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Russian Federation', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eba64c69-22b6-4b55-9106-e17e2d5bb1af', 'job_description': 'Progressive content-based capability', 'start_date': datetime.datetime(2012, 9, 2, 2, 7, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 1, 6, 5, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 14, 19, 25, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8b724571-d8e0-4f3a-9f11-c460bc80442d', 'end_date': datetime.datetime(2017, 11, 25, 8, 39, 2), 'start_time': datetime.datetime(2019, 4, 15, 21, 22, 32), 'rate': 2, 'updated_at': datetime.datetime(2018, 7, 8, 12, 58, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f36cb5f4-d0c1-4d40-a20b-d330c5d6d7b1', 'job_description': 'Cloned local initiative', 'start_date': datetime.datetime(2019, 8, 30, 12, 43, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 6, 21, 0, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 28, 8, 25, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '47536e96-8d1b-48fd-b0d8-28961f6aea49', 'end_date': datetime.datetime(2017, 3, 16, 22, 30, 16), 'start_time': datetime.datetime(2019, 2, 7, 3, 36, 43), 'rate': 4, 'updated_at': datetime.datetime(2016, 7, 12, 20, 8, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '50c47bab-adf8-40da-b76d-86ea0aecae84', 'job_description': 'Public-key regional alliance', 'start_date': datetime.datetime(2015, 3, 4, 9, 19, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 7, 22, 15, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 25, 0, 14, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd2190f3c-21b3-4e9b-b239-76669e49f77c', 'end_date': datetime.datetime(2011, 4, 26, 3, 15, 39), 'start_time': datetime.datetime(2016, 5, 7, 8, 51, 50), 'rate': 5, 'updated_at': datetime.datetime(2013, 2, 12, 17, 20, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '19ad7a30-386e-4164-bbf0-5f2267891f17', 'job_description': 'Assimilated assymetric Graphical User Interface', 'start_date': datetime.datetime(2017, 12, 6, 16, 57, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 8, 3, 8, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 3, 21, 54, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '696ee22c-c4e3-4da7-8be9-2e2602db0b96', 'end_date': datetime.datetime(2013, 6, 7, 13, 12, 21), 'start_time': datetime.datetime(2016, 9, 14, 3, 40, 16), 'rate': 1, 'updated_at': datetime.datetime(2019, 6, 18, 16, 4, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1d242436-19d4-4b05-9b05-b49c98a0ebc4', 'job_description': 'Fundamental mission-critical capacity', 'start_date': datetime.datetime(2010, 9, 4, 12, 28, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 29, 20, 34, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 18, 21, 59, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b3160ed4-1452-49c6-9f68-a1a3ad031a1a', 'end_date': datetime.datetime(2018, 9, 19, 4, 25, 33), 'start_time': datetime.datetime(2013, 10, 26, 11, 57, 54), 'rate': 5, 'updated_at': datetime.datetime(2013, 5, 26, 16, 45, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6aebf87f-b2d2-4f8f-9bd0-c87021422780', 'job_description': 'Digitized clear-thinking array', 'start_date': datetime.datetime(2012, 11, 4, 9, 7, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 22, 17, 10, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 17, 5, 55, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bb977df9-c401-4c80-9338-21e96f2b1f75', 'end_date': datetime.datetime(2011, 1, 23, 1, 22, 27), 'start_time': datetime.datetime(2013, 4, 1, 9, 23, 18), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 15, 10, 43, 41), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0c2096f1-ee59-4963-bc03-cb5b49a5e3a9', 'job_description': 'Cloned coherent moderator', 'start_date': datetime.datetime(2015, 4, 4, 19, 30, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 27, 22, 48, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 11, 16, 41, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '020f7910-710d-4c9b-a70e-80ff17e71f0c', 'end_date': datetime.datetime(2013, 1, 19, 21, 8, 13), 'start_time': datetime.datetime(2010, 12, 20, 16, 18, 32), 'rate': 1, 'updated_at': datetime.datetime(2016, 3, 6, 15, 31, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'edef3669-6804-4548-ad19-38b651a56656', 'job_description': 'Ergonomic object-oriented productivity', 'start_date': datetime.datetime(2013, 3, 12, 4, 22, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 21, 10, 25, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 2, 17, 35, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a16bdb9-4c92-4f0b-aea4-c840422e643b', 'end_date': datetime.datetime(2019, 9, 14, 22, 39, 7), 'start_time': datetime.datetime(2014, 1, 17, 11, 6, 5), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 26, 18, 37, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '719e45e7-ac37-4e17-95f2-f77bf03ac78c', 'job_description': 'Fundamental bifurcated orchestration', 'start_date': datetime.datetime(2018, 2, 17, 0, 41, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 24, 6, 48, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 12, 15, 8, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ac5c3cf9-0b32-4af1-8c21-eae97fd50fee', 'end_date': datetime.datetime(2013, 3, 10, 12, 11, 26), 'start_time': datetime.datetime(2015, 9, 6, 21, 28, 24), 'rate': 3, 'updated_at': datetime.datetime(2014, 5, 20, 20, 48, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1c75df38-32b9-4323-9d4a-a09a7db26a5e', 'job_description': 'Grass-roots intangible concept', 'start_date': datetime.datetime(2018, 4, 30, 23, 18, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 7, 17, 19, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 18, 2, 13, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '216cada5-46c1-4598-bda5-a39d6bd73f29', 'end_date': datetime.datetime(2016, 1, 9, 17, 45, 41), 'start_time': datetime.datetime(2018, 1, 14, 6, 55, 15), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 27, 5, 56, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd94a4408-2f47-4fd9-8b93-46e7cbb1cb8c', 'job_description': 'Devolved executive process improvement', 'start_date': datetime.datetime(2017, 11, 13, 19, 38, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 14, 11, 56, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 31, 21, 28, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '59900d73-46f7-46fb-b6eb-a6b60633d719', 'end_date': datetime.datetime(2018, 12, 14, 18, 27, 50), 'start_time': datetime.datetime(2015, 4, 8, 15, 43, 22), 'rate': 1, 'updated_at': datetime.datetime(2013, 5, 3, 13, 25, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5d10d08e-fa57-414d-8a2f-6ea0450e3452', 'job_description': 'Proactive bifurcated open architecture', 'start_date': datetime.datetime(2013, 3, 6, 10, 17, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 29, 22, 0, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 24, 13, 10, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '94505af9-2d65-4893-8226-29e66612607c', 'end_date': datetime.datetime(2013, 10, 11, 1, 24, 28), 'start_time': datetime.datetime(2018, 4, 16, 20, 20, 46), 'rate': 4, 'updated_at': datetime.datetime(2010, 7, 30, 12, 30, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '172ee829-ad49-4148-b96e-c6f91ad5c314', 'job_description': 'Digitized exuding budgetary management', 'start_date': datetime.datetime(2015, 10, 20, 3, 54, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 3, 22, 48, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 29, 15, 34, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'be83d763-8cc5-443f-9d2e-8277e7e30a46', 'end_date': datetime.datetime(2016, 7, 24, 7, 40, 54), 'start_time': datetime.datetime(2011, 9, 24, 7, 33, 41), 'rate': 4, 'updated_at': datetime.datetime(2011, 3, 10, 5, 46, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c932168-d272-4f89-9bd6-ff98408f6ca1', 'job_description': 'Mandatory holistic structure', 'start_date': datetime.datetime(2018, 2, 19, 23, 34, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 29, 17, 24, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 30, 0, 26, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '68e18948-fd02-41ab-b723-b9e5603258b1', 'end_date': datetime.datetime(2017, 5, 9, 18, 3, 54), 'start_time': datetime.datetime(2011, 7, 9, 15, 57, 58), 'rate': 1, 'updated_at': datetime.datetime(2013, 7, 23, 2, 49, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7a8e201f-fc64-4a3c-a42b-f07d6ab56df1', 'job_description': 'Phased reciprocal synergy', 'start_date': datetime.datetime(2016, 8, 5, 10, 44, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 4, 3, 50, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 16, 17, 21, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '70bba0df-f679-451e-8e22-8f2272124699', 'end_date': datetime.datetime(2013, 6, 4, 7, 7, 2), 'start_time': datetime.datetime(2017, 7, 12, 18, 16, 12), 'rate': 5, 'updated_at': datetime.datetime(2016, 5, 20, 4, 51, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f3448829-0412-42d6-8bed-0b7b8ea7c1ad', 'job_description': 'Cloned optimizing moderator', 'start_date': datetime.datetime(2013, 5, 13, 5, 5, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 22, 14, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 26, 1, 10, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e122c36-de95-4c7d-8126-fa22089fbe4f', 'end_date': datetime.datetime(2013, 1, 27, 22, 43, 52), 'start_time': datetime.datetime(2018, 1, 26, 22, 12, 50), 'rate': 4, 'updated_at': datetime.datetime(2010, 1, 26, 4, 42, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6857a8d4-564a-4126-bb2f-2de4341f6eb2', 'job_description': 'Streamlined content-based hierarchy', 'start_date': datetime.datetime(2018, 1, 3, 8, 18, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 2, 1, 41, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 2, 11, 46, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2d7f04d-6dd5-4241-9a2e-3f33c95a3d5d', 'end_date': datetime.datetime(2011, 12, 7, 22, 50, 34), 'start_time': datetime.datetime(2013, 1, 4, 21, 15, 16), 'rate': 2, 'updated_at': datetime.datetime(2018, 9, 18, 0, 28, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '22e78734-9b13-4bef-99a8-80a9ea5c90b1', 'job_description': 'Realigned zero administration Graphic Interface', 'start_date': datetime.datetime(2011, 9, 12, 0, 39, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 25, 16, 51, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 2, 13, 26, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '067e2534-3b8c-4dcf-aa30-c3f11180a4c7', 'end_date': datetime.datetime(2016, 8, 14, 0, 27, 3), 'start_time': datetime.datetime(2019, 11, 13, 14, 26, 12), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 8, 5, 39, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '846becce-01a8-47e7-9a1b-7a89b851d5a9', 'job_description': 'Reverse-engineered real-time workforce', 'start_date': datetime.datetime(2018, 2, 9, 7, 2, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 19, 5, 24, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 12, 4, 13, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '73b1b865-3b5d-4d91-b94e-bc7a572f4b66', 'end_date': datetime.datetime(2010, 7, 15, 16, 59, 32), 'start_time': datetime.datetime(2014, 1, 2, 12, 12, 25), 'rate': 1, 'updated_at': datetime.datetime(2012, 1, 20, 1, 7, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Holy See (Vatican City State)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b02a5dc3-5c32-4a7f-bb2c-a24c289b4d35', 'job_description': 'Networked dedicated focus group', 'start_date': datetime.datetime(2013, 6, 29, 19, 30, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 12, 13, 44, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 1, 18, 56, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '53be668e-b2f2-4441-8826-252dc091a09a', 'end_date': datetime.datetime(2010, 8, 23, 12, 6, 47), 'start_time': datetime.datetime(2019, 10, 29, 21, 41, 40), 'rate': 1, 'updated_at': datetime.datetime(2017, 9, 29, 17, 8, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Germany', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a1db8955-230e-4cb4-82c3-822fe2ff8a9a', 'job_description': 'Customer-focused client-server conglomeration', 'start_date': datetime.datetime(2011, 12, 25, 19, 25, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 3, 16, 54, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 2, 7, 52, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c59b5744-fa41-4abc-9446-68b22a8fc75f', 'end_date': datetime.datetime(2011, 7, 25, 17, 22, 42), 'start_time': datetime.datetime(2019, 6, 14, 14, 47, 11), 'rate': 4, 'updated_at': datetime.datetime(2012, 8, 7, 1, 26, 27), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1015f621-f396-47a1-864a-7b5825cd7ad2', 'job_description': 'Seamless uniform definition', 'start_date': datetime.datetime(2018, 2, 23, 15, 27, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 1, 23, 4, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 16, 21, 11, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '17ef663a-9f6a-4325-ab5c-62b10439253d', 'end_date': datetime.datetime(2010, 1, 12, 16, 2, 37), 'start_time': datetime.datetime(2018, 6, 19, 3, 39, 24), 'rate': 3, 'updated_at': datetime.datetime(2010, 1, 19, 23, 32, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3441e6c6-41e5-49c7-8b32-bb4922294b4a', 'job_description': 'Exclusive global architecture', 'start_date': datetime.datetime(2013, 9, 10, 23, 46, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 1, 4, 30, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 18, 0, 24, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5a427c36-bbf3-4c44-aa5d-5beb8f6a4291', 'end_date': datetime.datetime(2015, 1, 18, 0, 46, 33), 'start_time': datetime.datetime(2017, 5, 13, 21, 1, 13), 'rate': 3, 'updated_at': datetime.datetime(2013, 2, 5, 1, 55, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '66561ca6-32ea-4594-a7e4-984dcb115172', 'job_description': 'Multi-channelled 3rd generation architecture', 'start_date': datetime.datetime(2010, 9, 13, 21, 36, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 30, 22, 53, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 18, 23, 58, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fe4541eb-52eb-4f6d-9a0d-df6ad1c857c2', 'end_date': datetime.datetime(2010, 4, 15, 13, 26, 54), 'start_time': datetime.datetime(2013, 9, 27, 7, 10, 13), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 16, 12, 47, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ab61acad-a081-43b7-bc92-55decc877d9f', 'job_description': 'Polarised static task-force', 'start_date': datetime.datetime(2010, 12, 31, 21, 29, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 27, 23, 5, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 2, 8, 29, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '95e642b7-6c5f-46e4-ba85-49a931724bd5', 'end_date': datetime.datetime(2018, 10, 7, 20, 39, 33), 'start_time': datetime.datetime(2011, 4, 14, 7, 3, 55), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 23, 12, 7, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Serbia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '70d725fa-12e6-4a27-86c5-004e6a46a3bf', 'job_description': 'Public-key leading edge hub', 'start_date': datetime.datetime(2018, 2, 25, 6, 17, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 13, 0, 2, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 27, 13, 51, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '21d586e0-a9c1-4970-b272-ed486cbf73f3', 'end_date': datetime.datetime(2014, 4, 28, 11, 19, 38), 'start_time': datetime.datetime(2011, 1, 25, 17, 0, 38), 'rate': 3, 'updated_at': datetime.datetime(2015, 5, 13, 2, 25, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fca6e5fd-3e0d-41c4-88f3-95233bd9e748', 'job_description': 'Versatile coherent toolset', 'start_date': datetime.datetime(2017, 11, 23, 21, 36, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 21, 19, 30, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 10, 8, 5, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6de95625-60bc-495c-8bf7-d8e54ad75f05', 'end_date': datetime.datetime(2015, 4, 14, 21, 51, 30), 'start_time': datetime.datetime(2013, 2, 25, 17, 42, 10), 'rate': 4, 'updated_at': datetime.datetime(2011, 7, 17, 9, 18, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Czech Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dacc51a3-4e00-4b1f-86fd-c834fc92756b', 'job_description': 'Multi-channelled client-server projection', 'start_date': datetime.datetime(2018, 1, 15, 0, 1, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 18, 20, 13, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 22, 13, 4, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8cc63948-59a0-456f-9279-cca09c5c5547', 'end_date': datetime.datetime(2015, 3, 9, 0, 34, 24), 'start_time': datetime.datetime(2014, 7, 10, 22, 32, 26), 'rate': 1, 'updated_at': datetime.datetime(2017, 11, 11, 2, 40, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '82115ba8-2bdb-4467-869f-6fc84bce5406', 'job_description': 'Open-source radical service-desk', 'start_date': datetime.datetime(2014, 2, 9, 17, 42, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 20, 15, 10, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 26, 16, 38, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '605c10a9-cb99-4c55-af32-28ad0ea8c16c', 'end_date': datetime.datetime(2016, 7, 11, 7, 32, 4), 'start_time': datetime.datetime(2011, 3, 27, 11, 59, 27), 'rate': 5, 'updated_at': datetime.datetime(2010, 1, 30, 21, 59, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a4b075b0-364f-4d6a-b02f-707e59f2a640', 'job_description': 'Adaptive well-modulated data-warehouse', 'start_date': datetime.datetime(2012, 6, 23, 10, 55, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 1, 22, 5, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 9, 9, 57, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f576b1a9-0b6a-4938-bf7c-d0392a4353b3', 'end_date': datetime.datetime(2016, 2, 20, 15, 21, 24), 'start_time': datetime.datetime(2013, 6, 16, 8, 56, 13), 'rate': 4, 'updated_at': datetime.datetime(2018, 9, 11, 7, 11, 32), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a798fbc5-291e-49f6-b666-f825443edb91', 'job_description': 'Reactive uniform website', 'start_date': datetime.datetime(2014, 2, 9, 3, 19, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 19, 19, 8, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 7, 7, 32, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '024b8502-1d92-41ca-affa-94070d8650f9', 'end_date': datetime.datetime(2019, 5, 6, 2, 34, 45), 'start_time': datetime.datetime(2019, 2, 2, 18, 38, 50), 'rate': 1, 'updated_at': datetime.datetime(2016, 11, 16, 0, 7, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Botswana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8487465b-26e6-46ad-8d07-2b4ee178c99a', 'job_description': 'Centralized upward-trending strategy', 'start_date': datetime.datetime(2012, 6, 11, 18, 56, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 8, 7, 40, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 13, 6, 45, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '133e6743-f916-4c2a-ae41-868e823919f9', 'end_date': datetime.datetime(2019, 8, 22, 15, 22, 15), 'start_time': datetime.datetime(2010, 6, 22, 10, 11, 27), 'rate': 4, 'updated_at': datetime.datetime(2013, 4, 9, 0, 3, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e45fa53c-8e47-4773-9258-d251c1d52c94', 'job_description': 'Sharable reciprocal support', 'start_date': datetime.datetime(2016, 7, 22, 20, 4, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 11, 8, 1, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 6, 5, 12, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5786b693-82f9-4a10-be7c-3b63b2d1fd44', 'end_date': datetime.datetime(2013, 12, 21, 4, 39, 51), 'start_time': datetime.datetime(2014, 12, 7, 10, 14, 25), 'rate': 4, 'updated_at': datetime.datetime(2016, 3, 14, 11, 5, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dca0694c-aba2-4f2a-8e1b-f16b3b2e3891', 'job_description': 'Seamless fault-tolerant secured line', 'start_date': datetime.datetime(2015, 3, 19, 11, 55, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 10, 17, 40, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 13, 22, 6, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ccfeddf0-08f3-4ea3-a881-10d80ca884bf', 'end_date': datetime.datetime(2016, 3, 14, 9, 57, 7), 'start_time': datetime.datetime(2016, 2, 18, 22, 16, 42), 'rate': 3, 'updated_at': datetime.datetime(2013, 6, 23, 13, 22, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '48d5ac12-8aa7-45dc-ab5f-fec2df589fca', 'job_description': 'Focused high-level policy', 'start_date': datetime.datetime(2016, 8, 21, 2, 46, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 13, 3, 51, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 10, 0, 25, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'daaeaa1e-8034-4ca3-a817-ccad6c88ed35', 'end_date': datetime.datetime(2013, 1, 7, 20, 43, 5), 'start_time': datetime.datetime(2014, 4, 27, 3, 43, 21), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 22, 3, 7, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eac4645a-0adc-4c2b-ac2d-6367bfc77dc5', 'job_description': 'Multi-layered asynchronous extranet', 'start_date': datetime.datetime(2013, 9, 30, 12, 55, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 24, 10, 31, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 19, 11, 15, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c58d7b3e-5782-466b-81be-62b94a73da0c', 'end_date': datetime.datetime(2010, 8, 21, 5, 41, 2), 'start_time': datetime.datetime(2010, 10, 26, 17, 3, 19), 'rate': 5, 'updated_at': datetime.datetime(2017, 1, 4, 17, 5, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '283accc1-0545-4494-9079-81b8f864655b', 'job_description': 'Stand-alone clear-thinking software', 'start_date': datetime.datetime(2013, 7, 20, 11, 54, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 12, 19, 40, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 10, 8, 35, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d6b1967-ad0e-4bfc-9328-7fb77d9ed32a', 'end_date': datetime.datetime(2011, 12, 7, 5, 54, 53), 'start_time': datetime.datetime(2010, 3, 23, 23, 22, 27), 'rate': 2, 'updated_at': datetime.datetime(2010, 1, 21, 11, 41, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '666c7d68-cad8-4e6a-ab9c-7f95d5aa0700', 'job_description': 'Persevering scalable success', 'start_date': datetime.datetime(2017, 8, 22, 4, 25, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 29, 3, 7, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 1, 9, 20, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d0874bb-ab66-44d0-b152-6dea6146f189', 'end_date': datetime.datetime(2012, 11, 9, 3, 22, 17), 'start_time': datetime.datetime(2011, 6, 10, 7, 5, 9), 'rate': 3, 'updated_at': datetime.datetime(2013, 12, 26, 3, 56, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '886a5d00-31c4-4fa5-a41b-7d37ec6d1280', 'job_description': 'Focused multi-tasking time-frame', 'start_date': datetime.datetime(2012, 9, 1, 12, 55, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 19, 14, 46, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 14, 8, 0, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '489a668d-e60d-4b39-98f1-8810e21006fa', 'end_date': datetime.datetime(2015, 3, 2, 3, 57, 42), 'start_time': datetime.datetime(2011, 2, 10, 9, 33, 2), 'rate': 5, 'updated_at': datetime.datetime(2014, 6, 26, 7, 45, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '49a02cd0-6b26-4641-bddd-4c558e5f0a7e', 'job_description': 'Stand-alone system-worthy paradigm', 'start_date': datetime.datetime(2017, 8, 7, 3, 42, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 4, 23, 22, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 25, 16, 38, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '53dfb180-782a-4787-b7dc-f3c970f2992c', 'end_date': datetime.datetime(2013, 2, 11, 11, 8, 51), 'start_time': datetime.datetime(2014, 8, 27, 9, 41, 48), 'rate': 1, 'updated_at': datetime.datetime(2015, 7, 15, 4, 26, 53), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'abc7e4b5-a282-489f-b9b9-99834e3ffa06', 'job_description': 'Fully-configurable secondary implementation', 'start_date': datetime.datetime(2019, 10, 2, 15, 53, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 25, 22, 5, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 22, 4, 5, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c77d726-e9f7-4f73-ab3b-36b7de42f488', 'end_date': datetime.datetime(2015, 12, 17, 2, 7, 20), 'start_time': datetime.datetime(2012, 3, 2, 17, 8, 25), 'rate': 1, 'updated_at': datetime.datetime(2018, 4, 7, 1, 37, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd9d34cea-7579-4144-9494-6d8fff4c3efc', 'job_description': 'Open-architected bi-directional knowledge base', 'start_date': datetime.datetime(2016, 3, 9, 9, 23, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 25, 14, 31, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 28, 23, 59, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd8eefb88-be24-4d1d-9be7-de5f458de1df', 'end_date': datetime.datetime(2019, 4, 12, 14, 30, 40), 'start_time': datetime.datetime(2015, 2, 3, 22, 45, 5), 'rate': 2, 'updated_at': datetime.datetime(2017, 5, 6, 16, 21, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a3830ddb-a8d0-4283-97a2-fbad75af9fae', 'job_description': 'Devolved multi-state functionalities', 'start_date': datetime.datetime(2010, 6, 22, 6, 28, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 26, 4, 40, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 16, 18, 56, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a4ecdc55-cb84-4da4-8b66-314828e8e10f', 'end_date': datetime.datetime(2010, 12, 12, 19, 44, 11), 'start_time': datetime.datetime(2015, 6, 8, 13, 28, 29), 'rate': 4, 'updated_at': datetime.datetime(2015, 6, 8, 13, 50, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4035677f-3499-46f6-b024-277e15ff8e1c', 'job_description': 'Up-sized directional archive', 'start_date': datetime.datetime(2017, 2, 10, 14, 38, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 21, 9, 39, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 2, 17, 9, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8ee6de7d-c8d4-419c-bdd2-d66c46af647c', 'end_date': datetime.datetime(2019, 1, 10, 0, 47, 5), 'start_time': datetime.datetime(2019, 4, 12, 4, 55, 38), 'rate': 2, 'updated_at': datetime.datetime(2015, 10, 22, 8, 51, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'db85716a-c832-46d5-b427-95762c205ab0', 'job_description': 'Face to face bandwidth-monitored implementation', 'start_date': datetime.datetime(2016, 5, 17, 15, 50, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 23, 0, 49, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 14, 20, 58, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd28d5ae0-7ffb-40c2-b39d-1a676c6922fd', 'end_date': datetime.datetime(2010, 12, 23, 6, 31, 26), 'start_time': datetime.datetime(2015, 4, 28, 18, 59, 1), 'rate': 2, 'updated_at': datetime.datetime(2011, 3, 6, 22, 34, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0ed7d4eb-13b6-457e-bc1b-36ba2183ba6f', 'job_description': 'Right-sized asynchronous standardization', 'start_date': datetime.datetime(2019, 5, 27, 0, 26, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 17, 21, 8, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 27, 10, 5, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f7872f76-c026-4d3c-9c85-004d306d49e4', 'end_date': datetime.datetime(2010, 12, 17, 3, 4, 58), 'start_time': datetime.datetime(2014, 4, 22, 11, 44, 30), 'rate': 5, 'updated_at': datetime.datetime(2011, 4, 25, 7, 5, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0493dd82-5370-412e-827d-fdeb3f3ba2e0', 'job_description': 'Down-sized interactive firmware', 'start_date': datetime.datetime(2011, 4, 21, 0, 8, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 19, 19, 2, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 24, 11, 48, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a3c931d3-b183-4842-9238-1afd6f4d19a4', 'end_date': datetime.datetime(2018, 10, 22, 23, 9, 33), 'start_time': datetime.datetime(2018, 8, 6, 9, 12, 13), 'rate': 4, 'updated_at': datetime.datetime(2012, 11, 6, 14, 50, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fa822df1-f136-4b5d-a380-73e9ae4757a1', 'job_description': 'Cloned needs-based utilisation', 'start_date': datetime.datetime(2014, 9, 24, 21, 33, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 18, 21, 59, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 30, 8, 19, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '423ed3bb-bf28-4d01-a48d-f031ac862138', 'end_date': datetime.datetime(2014, 5, 22, 16, 7, 13), 'start_time': datetime.datetime(2017, 2, 7, 2, 7, 52), 'rate': 1, 'updated_at': datetime.datetime(2014, 3, 3, 7, 20, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1cf8a059-173c-46ec-bcdf-1590a8c6f04e', 'job_description': 'Adaptive system-worthy system engine', 'start_date': datetime.datetime(2011, 10, 30, 4, 38, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 9, 3, 6, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 23, 7, 21, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd3c36b56-6488-43ce-bd8f-725a63973bdd', 'end_date': datetime.datetime(2013, 5, 10, 10, 57, 47), 'start_time': datetime.datetime(2015, 12, 6, 8, 8, 27), 'rate': 5, 'updated_at': datetime.datetime(2016, 7, 7, 0, 41, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Bermuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e56310b2-9ba0-45af-be27-c0dff2995d3d', 'job_description': 'Self-enabling motivating capacity', 'start_date': datetime.datetime(2016, 3, 16, 18, 3, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 12, 4, 59, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 15, 12, 39, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '748d0e6c-d564-401f-824b-1f39eeeda672', 'end_date': datetime.datetime(2010, 9, 24, 19, 29, 17), 'start_time': datetime.datetime(2011, 11, 8, 17, 39, 38), 'rate': 2, 'updated_at': datetime.datetime(2011, 12, 27, 16, 33, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Heard Island and McDonald Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '832445a1-b8ee-4cfe-bab2-98cd2d466632', 'job_description': 'Proactive dynamic database', 'start_date': datetime.datetime(2019, 2, 5, 18, 7, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 5, 13, 51, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 25, 2, 29, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ee456fb0-d31a-4f37-a590-333ad08dc1bd', 'end_date': datetime.datetime(2016, 12, 4, 23, 15, 20), 'start_time': datetime.datetime(2013, 3, 14, 1, 30, 41), 'rate': 2, 'updated_at': datetime.datetime(2014, 2, 22, 8, 44, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Martinique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9c98be4c-1756-4b5f-a143-72c8ed765e56', 'job_description': 'Vision-oriented stable time-frame', 'start_date': datetime.datetime(2018, 12, 17, 19, 43, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 15, 3, 23, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 6, 18, 2, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd2bc8ce8-0847-467a-89c7-339196564fcf', 'end_date': datetime.datetime(2014, 6, 16, 2, 25, 51), 'start_time': datetime.datetime(2018, 2, 6, 22, 22, 8), 'rate': 1, 'updated_at': datetime.datetime(2017, 7, 19, 20, 14, 20), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '542ce347-3ca7-4d8f-8dc0-d6e7f7dc8702', 'job_description': 'Profound zero defect portal', 'start_date': datetime.datetime(2017, 4, 5, 0, 30, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 22, 14, 38, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 19, 21, 43, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '04999a23-7a0c-4de9-88a1-9ce43f9e4f68', 'end_date': datetime.datetime(2015, 6, 10, 3, 29, 12), 'start_time': datetime.datetime(2015, 3, 25, 23, 53, 40), 'rate': 4, 'updated_at': datetime.datetime(2012, 4, 28, 12, 40, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2daeee07-74de-438d-b1cd-46b38a089505', 'job_description': 'Robust radical strategy', 'start_date': datetime.datetime(2018, 7, 9, 6, 57, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 3, 19, 38, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 5, 23, 28, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e46895bd-952f-4f57-a043-be00a4e44997', 'end_date': datetime.datetime(2011, 1, 27, 11, 10, 5), 'start_time': datetime.datetime(2015, 8, 14, 15, 37, 5), 'rate': 3, 'updated_at': datetime.datetime(2017, 10, 22, 3, 40, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Belgium', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a88fb951-b5df-4f4f-9f89-c77843800e1a', 'job_description': 'Optimized heuristic service-desk', 'start_date': datetime.datetime(2013, 7, 7, 20, 44, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 11, 20, 12, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 13, 10, 22, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c613b111-a89a-48de-b126-8230a5663c31', 'end_date': datetime.datetime(2014, 12, 12, 3, 12, 54), 'start_time': datetime.datetime(2019, 2, 27, 16, 25, 58), 'rate': 2, 'updated_at': datetime.datetime(2014, 11, 7, 11, 21, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '607a6450-03f1-468e-940e-4f0c7ed5afec', 'job_description': 'Integrated bandwidth-monitored superstructure', 'start_date': datetime.datetime(2019, 1, 7, 3, 4, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 11, 7, 9, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 21, 14, 27, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77a7773a-031a-4f55-8e40-77e652cd5e6d', 'end_date': datetime.datetime(2014, 8, 31, 0, 6, 51), 'start_time': datetime.datetime(2014, 3, 28, 4, 41, 31), 'rate': 5, 'updated_at': datetime.datetime(2016, 5, 4, 0, 30, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '34e166d2-97ee-4924-ae22-7ddb9a74a38b', 'job_description': 'Synchronised well-modulated focus group', 'start_date': datetime.datetime(2017, 1, 13, 11, 59, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 19, 3, 59, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 18, 18, 20, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1cf0e30a-d45e-4775-9642-f515ec05d4a8', 'end_date': datetime.datetime(2011, 7, 31, 23, 33, 13), 'start_time': datetime.datetime(2017, 7, 19, 13, 37, 36), 'rate': 2, 'updated_at': datetime.datetime(2012, 7, 12, 10, 38, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0794882e-b170-4973-a532-80be8eca5f36', 'job_description': 'Cloned foreground focus group', 'start_date': datetime.datetime(2019, 7, 21, 8, 45, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 7, 1, 37, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 6, 9, 46, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a8fe7bfb-634e-46e6-83af-e86dc68b24f2', 'end_date': datetime.datetime(2016, 8, 14, 17, 26, 54), 'start_time': datetime.datetime(2016, 5, 10, 10, 18, 9), 'rate': 5, 'updated_at': datetime.datetime(2010, 10, 7, 11, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b1a9ce70-dc94-4903-bf91-369f826a2c4a', 'job_description': 'Public-key user-facing architecture', 'start_date': datetime.datetime(2019, 5, 28, 1, 32, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 4, 18, 31, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 8, 22, 41, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '21ffc2f4-b907-49f5-84c3-a0d799f7ca01', 'end_date': datetime.datetime(2014, 12, 3, 5, 36, 21), 'start_time': datetime.datetime(2016, 9, 4, 8, 33, 38), 'rate': 1, 'updated_at': datetime.datetime(2011, 7, 15, 12, 34, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de1e0b25-3e94-41cd-91cd-d2409c337bde', 'job_description': 'Up-sized holistic task-force', 'start_date': datetime.datetime(2013, 11, 11, 10, 18, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 5, 19, 22, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 7, 15, 19, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f6904fd0-baca-4d93-a01f-58cdfff74423', 'end_date': datetime.datetime(2010, 12, 23, 9, 22, 47), 'start_time': datetime.datetime(2011, 12, 2, 7, 2, 58), 'rate': 3, 'updated_at': datetime.datetime(2010, 11, 29, 1, 6, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a632d22f-36dd-476c-9c42-271060baea67', 'job_description': 'Advanced value-added monitoring', 'start_date': datetime.datetime(2016, 3, 15, 1, 12, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 1, 1, 48, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 30, 7, 51, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '753d27c1-6f71-466f-9e6a-ad0f81346952', 'end_date': datetime.datetime(2017, 12, 4, 14, 20, 31), 'start_time': datetime.datetime(2017, 1, 3, 11, 37, 12), 'rate': 1, 'updated_at': datetime.datetime(2011, 3, 16, 17, 27, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b982ef0c-ea5c-49e3-a479-81e4a36d154f', 'job_description': 'Extended human-resource benchmark', 'start_date': datetime.datetime(2018, 7, 4, 17, 3, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 21, 5, 51, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 11, 12, 37, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f2e0ea34-2dbc-4681-aa6e-9a7bc5c14a97', 'end_date': datetime.datetime(2014, 8, 23, 1, 7, 23), 'start_time': datetime.datetime(2017, 10, 26, 22, 29, 55), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 1, 11, 3, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Peru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2efb38b0-dea8-4e65-bf78-32b3c901ad5c', 'job_description': 'Automated bi-directional methodology', 'start_date': datetime.datetime(2015, 10, 4, 21, 24, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 7, 15, 40, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 5, 5, 41, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3ed40980-93d1-4d9f-92b2-b0ce68a5fefa', 'end_date': datetime.datetime(2014, 11, 25, 19, 43, 56), 'start_time': datetime.datetime(2018, 5, 28, 9, 32, 49), 'rate': 2, 'updated_at': datetime.datetime(2014, 9, 26, 16, 22, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4555c242-19f2-430e-9531-5a195a983d0a', 'job_description': 'Ameliorated 3rd generation paradigm', 'start_date': datetime.datetime(2018, 11, 13, 17, 39, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 14, 16, 38, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 7, 1, 47, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '33ab4dee-f63d-4af4-ac97-61151ba45365', 'end_date': datetime.datetime(2012, 3, 30, 10, 36, 7), 'start_time': datetime.datetime(2015, 12, 8, 20, 40, 43), 'rate': 2, 'updated_at': datetime.datetime(2016, 2, 23, 15, 33, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ce3aae75-e434-4fa9-bdfb-aaf478e4fb30', 'job_description': 'Operative motivating success', 'start_date': datetime.datetime(2010, 7, 31, 14, 15, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 5, 18, 35, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 7, 22, 4, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a204a7f-cee1-41f1-8f1e-b3db44761087', 'end_date': datetime.datetime(2013, 9, 29, 1, 18, 29), 'start_time': datetime.datetime(2014, 9, 30, 14, 47, 34), 'rate': 2, 'updated_at': datetime.datetime(2015, 9, 9, 8, 31, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Isle of Man', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5abcabc5-c191-427c-b379-d1a5ec8e4261', 'job_description': 'Implemented optimizing contingency', 'start_date': datetime.datetime(2016, 8, 14, 7, 52, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 23, 2, 46, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 12, 7, 37, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '626bb231-449b-435e-90f8-701b5da9ca0a', 'end_date': datetime.datetime(2015, 9, 12, 11, 11, 9), 'start_time': datetime.datetime(2016, 11, 15, 15, 21, 9), 'rate': 3, 'updated_at': datetime.datetime(2017, 7, 14, 22, 39, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Tuvalu', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4ed3e8a9-bc2c-4698-ae41-f600002b5664', 'job_description': 'Public-key secondary knowledge user', 'start_date': datetime.datetime(2019, 8, 3, 2, 23, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 25, 12, 56, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 5, 4, 35, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd92624b6-d2ce-46bb-853d-5dd4d9483283', 'end_date': datetime.datetime(2014, 6, 2, 22, 31, 12), 'start_time': datetime.datetime(2014, 12, 18, 7, 58, 37), 'rate': 2, 'updated_at': datetime.datetime(2010, 12, 23, 10, 26, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f3761b6b-c7ca-4b15-b221-51251c0997bd', 'job_description': 'Mandatory local superstructure', 'start_date': datetime.datetime(2017, 2, 13, 23, 10, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 10, 23, 36, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 16, 23, 59, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ba81215-bd1b-4fab-8803-d4813640bbad', 'end_date': datetime.datetime(2019, 1, 3, 6, 23, 2), 'start_time': datetime.datetime(2014, 2, 2, 22, 57, 34), 'rate': 2, 'updated_at': datetime.datetime(2016, 9, 3, 3, 34, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c86112ca-e567-4e06-8df1-d81e014194ee', 'job_description': 'Self-enabling bi-directional open system', 'start_date': datetime.datetime(2014, 2, 6, 12, 49, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 30, 4, 24, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 25, 22, 35, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e40689b1-c084-49c6-9763-a2d2c4d2c884', 'end_date': datetime.datetime(2015, 4, 28, 10, 11, 7), 'start_time': datetime.datetime(2013, 1, 8, 23, 5, 39), 'rate': 1, 'updated_at': datetime.datetime(2017, 4, 26, 14, 38, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0944cd6b-9ba5-4be7-9ceb-bfc64e17d990', 'job_description': 'Reduced methodical conglomeration', 'start_date': datetime.datetime(2014, 4, 20, 16, 18, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 8, 14, 35, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 3, 2, 39, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57d35191-2c6f-4019-9f88-2a877f334c53', 'end_date': datetime.datetime(2010, 9, 5, 4, 16, 20), 'start_time': datetime.datetime(2010, 12, 2, 10, 36, 39), 'rate': 3, 'updated_at': datetime.datetime(2010, 6, 26, 17, 32, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd68102a4-6f6a-40c4-b338-07c71e34138a', 'job_description': 'Realigned exuding artificial intelligence', 'start_date': datetime.datetime(2018, 2, 10, 3, 55, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 22, 11, 25, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 23, 18, 4, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a69b13f-6775-4124-beef-8a90ca7961af', 'end_date': datetime.datetime(2012, 5, 29, 21, 27, 43), 'start_time': datetime.datetime(2014, 3, 9, 18, 13, 29), 'rate': 2, 'updated_at': datetime.datetime(2018, 10, 22, 17, 43, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0b20d35c-59a0-4fda-9db1-ca8ce84faf8d', 'job_description': 'Robust non-volatile productivity', 'start_date': datetime.datetime(2017, 4, 20, 13, 41, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 4, 9, 2, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 15, 13, 49, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1638f704-b92c-4185-8208-5ac00468e41a', 'end_date': datetime.datetime(2017, 5, 30, 3, 35, 42), 'start_time': datetime.datetime(2017, 12, 1, 19, 54, 58), 'rate': 5, 'updated_at': datetime.datetime(2011, 5, 17, 0, 8, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '42962482-4aac-4dbe-8e32-651a386f1f8f', 'job_description': 'Re-contextualized multi-state parallelism', 'start_date': datetime.datetime(2011, 6, 8, 10, 41, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 5, 0, 28, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 3, 16, 0, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dca4a206-6f24-4ce0-8302-f7ae0a65148e', 'end_date': datetime.datetime(2010, 10, 5, 11, 20, 45), 'start_time': datetime.datetime(2014, 1, 16, 13, 54, 55), 'rate': 5, 'updated_at': datetime.datetime(2013, 10, 28, 10, 53, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Montserrat', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f4e35520-1e1f-44fe-b92a-92b2b4566b29', 'job_description': 'Polarised logistical moratorium', 'start_date': datetime.datetime(2015, 12, 13, 5, 42, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 6, 2, 51, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 24, 17, 47, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '519d1454-8132-4047-8f23-b98c4157fac2', 'end_date': datetime.datetime(2015, 7, 5, 4, 36, 45), 'start_time': datetime.datetime(2015, 3, 1, 7, 42, 46), 'rate': 2, 'updated_at': datetime.datetime(2010, 3, 19, 19, 47, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c8b963d6-45d8-45f8-8dac-569ccc053ebc', 'job_description': 'Cross-platform fresh-thinking archive', 'start_date': datetime.datetime(2015, 12, 5, 22, 47, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 8, 2, 52, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 22, 8, 22, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0153b02e-2bf1-4e20-87f9-0eb564fcdd52', 'end_date': datetime.datetime(2010, 11, 3, 5, 58, 3), 'start_time': datetime.datetime(2019, 7, 16, 12, 43, 36), 'rate': 4, 'updated_at': datetime.datetime(2016, 7, 28, 4, 2, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f023cc0a-4c75-4c82-9636-2d84fcd85882', 'job_description': 'Implemented bandwidth-monitored info-mediaries', 'start_date': datetime.datetime(2019, 8, 2, 7, 3, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 1, 4, 23, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 31, 7, 55, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '90e039cd-ac41-4507-9343-236c9bdb2ae5', 'end_date': datetime.datetime(2019, 7, 17, 10, 32, 26), 'start_time': datetime.datetime(2010, 9, 17, 6, 14, 1), 'rate': 3, 'updated_at': datetime.datetime(2013, 7, 12, 6, 36, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0f2eeb4c-7fe2-4311-b3f7-9dfa19fe8c81', 'job_description': 'Progressive motivating Graphic Interface', 'start_date': datetime.datetime(2017, 7, 28, 9, 7, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 12, 6, 33, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 4, 0, 19, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '201417d5-7d49-4d4d-b348-6f3bf7cfa3b9', 'end_date': datetime.datetime(2010, 3, 27, 6, 22, 22), 'start_time': datetime.datetime(2010, 3, 7, 13, 14, 56), 'rate': 3, 'updated_at': datetime.datetime(2016, 3, 21, 17, 11, 45), 'job_title': 'CoffeeMaker', 'service_id': 'New Caledonia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fc52e39c-83b6-4b5a-a63e-0d7b06f3e2d4', 'job_description': 'Implemented client-driven application', 'start_date': datetime.datetime(2016, 9, 25, 14, 43, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 16, 0, 40, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 19, 23, 34, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a6f101f-d1b9-4362-a5d9-eb43eccd097b', 'end_date': datetime.datetime(2012, 2, 14, 21, 43, 9), 'start_time': datetime.datetime(2016, 4, 29, 17, 40, 53), 'rate': 2, 'updated_at': datetime.datetime(2017, 11, 5, 11, 2, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7d3098be-cbfb-491d-a708-2151c571d1c1', 'job_description': 'Fundamental dynamic strategy', 'start_date': datetime.datetime(2012, 9, 1, 0, 2, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 16, 23, 42, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 18, 21, 13, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ead713f-4035-4921-8244-2fcc077cbce0', 'end_date': datetime.datetime(2016, 7, 11, 11, 47, 8), 'start_time': datetime.datetime(2016, 7, 27, 15, 31, 30), 'rate': 2, 'updated_at': datetime.datetime(2018, 10, 11, 1, 41, 12), 'job_title': 'CoffeeMaker', 'service_id': 'India', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f5374cdf-7edd-45b6-8797-6b7da005b06c', 'job_description': 'Secured maximized help-desk', 'start_date': datetime.datetime(2011, 7, 13, 2, 11, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 12, 5, 33, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 6, 18, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '532feedb-82f7-4853-a73d-2a33d2bd3ee0', 'end_date': datetime.datetime(2010, 8, 25, 5, 23, 30), 'start_time': datetime.datetime(2017, 11, 28, 16, 31), 'rate': 5, 'updated_at': datetime.datetime(2015, 6, 15, 1, 38, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e07397d3-3b2a-4f24-bb82-6a3dac194779', 'job_description': 'Compatible directional toolset', 'start_date': datetime.datetime(2018, 4, 18, 18, 37, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 30, 7, 25, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 19, 4, 22, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '53fcad1e-99e7-440e-94b6-f4340a4304c2', 'end_date': datetime.datetime(2013, 7, 25, 14, 16, 28), 'start_time': datetime.datetime(2012, 10, 9, 7, 26, 7), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 23, 2, 28, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Puerto Rico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2fe21bb5-01e4-4577-8a18-145fcddda570', 'job_description': 'Open-source high-level installation', 'start_date': datetime.datetime(2014, 12, 16, 18, 8, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 27, 6, 3, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 4, 0, 39, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c6ef390a-7517-4b1e-96a3-fdeab1fbfb17', 'end_date': datetime.datetime(2015, 4, 20, 15, 1, 10), 'start_time': datetime.datetime(2013, 5, 16, 11, 6, 4), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 24, 1, 37, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a437fb68-afa6-4f8e-bc1f-cc7c26529339', 'job_description': 'Future-proofed tangible knowledge user', 'start_date': datetime.datetime(2011, 10, 7, 20, 20, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 11, 19, 8, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 1, 8, 57, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '95099998-7f1d-4f92-a8bb-499a24165a9d', 'end_date': datetime.datetime(2013, 7, 13, 0, 20, 7), 'start_time': datetime.datetime(2017, 12, 13, 9, 10, 21), 'rate': 4, 'updated_at': datetime.datetime(2017, 12, 25, 6, 23, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'efd9f83a-f4ed-4c0b-95af-4d53f83540f3', 'job_description': 'Operative heuristic synergy', 'start_date': datetime.datetime(2015, 11, 3, 1, 49, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 13, 5, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 23, 18, 52, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a0d780bd-fc9c-4c32-ad16-5490b02da7a8', 'end_date': datetime.datetime(2013, 9, 19, 1, 22, 47), 'start_time': datetime.datetime(2013, 6, 16, 20, 55, 20), 'rate': 5, 'updated_at': datetime.datetime(2019, 5, 29, 17, 52, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cd0cb8d9-d7dc-4c88-b620-fd266f94c51f', 'job_description': 'Vision-oriented impactful leverage', 'start_date': datetime.datetime(2015, 9, 9, 20, 56, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 19, 16, 13, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 7, 6, 52, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fce4f826-5b4e-43f6-8741-388918e88e01', 'end_date': datetime.datetime(2012, 3, 16, 9, 16), 'start_time': datetime.datetime(2011, 1, 8, 21, 19, 55), 'rate': 4, 'updated_at': datetime.datetime(2017, 11, 23, 15, 38, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a8a1dd5b-55bb-4093-9bdb-9c14c731259f', 'job_description': 'Phased leading edge info-mediaries', 'start_date': datetime.datetime(2015, 4, 6, 11, 23, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 8, 18, 45, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 19, 2, 11, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '07b636d6-0b60-417a-840d-58a4e50cb321', 'end_date': datetime.datetime(2011, 11, 21, 16, 43, 31), 'start_time': datetime.datetime(2012, 4, 14, 19, 59, 46), 'rate': 2, 'updated_at': datetime.datetime(2011, 8, 25, 11, 38, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '44cb1f95-6aff-4155-bb56-e21a091351b5', 'job_description': 'Pre-emptive impactful workforce', 'start_date': datetime.datetime(2019, 4, 1, 17, 1, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 26, 23, 20, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 3, 17, 12, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'de498abe-f8fb-49c1-bc62-821c9f57246c', 'end_date': datetime.datetime(2014, 11, 6, 23, 1, 2), 'start_time': datetime.datetime(2011, 4, 20, 4, 35, 18), 'rate': 2, 'updated_at': datetime.datetime(2014, 9, 19, 13, 46, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1b543e4a-0f8f-4f53-9049-1fffc00a7f34', 'job_description': 'Proactive discrete benchmark', 'start_date': datetime.datetime(2013, 4, 2, 2, 13, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 25, 9, 12, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 5, 9, 0, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6e2f6685-d692-4dca-a2e3-6800cc6deffe', 'end_date': datetime.datetime(2013, 1, 11, 19, 18, 36), 'start_time': datetime.datetime(2014, 11, 3, 1, 8, 22), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 25, 20, 10, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '87f79cad-73ff-481c-b768-cb1b60d14e06', 'job_description': 'Object-based holistic collaboration', 'start_date': datetime.datetime(2010, 2, 6, 10, 57, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 3, 21, 23, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 1, 20, 7, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a65267df-b56a-4d16-bb90-c3b85d06c6fb', 'end_date': datetime.datetime(2010, 12, 26, 4, 46, 47), 'start_time': datetime.datetime(2010, 1, 14, 0, 10, 3), 'rate': 3, 'updated_at': datetime.datetime(2012, 3, 13, 20, 42, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '11ec3fc6-11ef-4cfd-a2f6-31de78e31d2e', 'job_description': 'Versatile even-keeled help-desk', 'start_date': datetime.datetime(2016, 1, 19, 5, 35, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 30, 1, 57, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 4, 2, 11, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2777c63b-3e59-4e1c-a6bd-900e41739f0f', 'end_date': datetime.datetime(2011, 8, 19, 22, 55, 18), 'start_time': datetime.datetime(2018, 12, 11, 11, 49, 39), 'rate': 2, 'updated_at': datetime.datetime(2010, 12, 25, 5, 5, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9b229618-ef58-4bb2-95ee-dfac6ffabf75', 'job_description': 'Compatible 24/7 adapter', 'start_date': datetime.datetime(2011, 6, 1, 16, 28, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 19, 14, 45, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 11, 7, 56, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c0b83fbb-f4bc-4804-97ca-fcd5eb43b77d', 'end_date': datetime.datetime(2012, 2, 7, 17, 51, 40), 'start_time': datetime.datetime(2016, 5, 29, 3, 50, 58), 'rate': 2, 'updated_at': datetime.datetime(2015, 1, 8, 15, 33, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '60e1bf12-ef76-436a-90b9-f60e2d82d1aa', 'job_description': 'Re-engineered interactive matrix', 'start_date': datetime.datetime(2014, 9, 29, 2, 56, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 7, 1, 10, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 31, 19, 27, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cbc8c5c7-e375-4b5b-8087-a40b3663327b', 'end_date': datetime.datetime(2014, 7, 5, 14, 57, 55), 'start_time': datetime.datetime(2011, 3, 18, 16, 25, 47), 'rate': 1, 'updated_at': datetime.datetime(2012, 10, 17, 21, 45, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f6d97f7e-6395-4023-84b4-2aa4a7eaae1f', 'job_description': 'Configurable assymetric open architecture', 'start_date': datetime.datetime(2013, 8, 16, 4, 57, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 16, 12, 1, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 3, 2, 10, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c372e237-2892-4e9f-8065-e2d925a462f1', 'end_date': datetime.datetime(2011, 2, 24, 1, 10, 53), 'start_time': datetime.datetime(2018, 8, 2, 9, 33, 36), 'rate': 3, 'updated_at': datetime.datetime(2017, 5, 15, 2, 27, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Antarctica (the territory South of 60 deg S)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '68f8ae11-4382-4a69-b8fb-9062f17fae65', 'job_description': 'Advanced system-worthy firmware', 'start_date': datetime.datetime(2019, 5, 21, 7, 21, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 16, 3, 53, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 26, 6, 5, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e3c60e73-1ebf-4e1e-8a10-fac0b7f245e9', 'end_date': datetime.datetime(2019, 8, 24, 1, 34, 12), 'start_time': datetime.datetime(2016, 11, 11, 23, 19, 14), 'rate': 2, 'updated_at': datetime.datetime(2010, 8, 23, 23, 21, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '53f89768-c77a-4357-87c9-2809b820cf79', 'job_description': 'Multi-tiered systematic data-warehouse', 'start_date': datetime.datetime(2011, 12, 7, 11, 50, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 25, 16, 36, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 22, 22, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b97548e0-2915-4ec8-8e82-5c50533a7a7a', 'end_date': datetime.datetime(2016, 11, 4, 16, 42, 31), 'start_time': datetime.datetime(2013, 11, 13, 14, 56, 10), 'rate': 4, 'updated_at': datetime.datetime(2010, 10, 9, 16, 44, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9326fe30-e8f1-4b99-b131-94add6c641f5', 'job_description': 'Synergistic foreground implementation', 'start_date': datetime.datetime(2016, 5, 22, 9, 24, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 22, 17, 18, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 27, 12, 48, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fc8288b6-b32e-4e12-96ac-fbfd03bdd986', 'end_date': datetime.datetime(2014, 6, 7, 11, 40, 47), 'start_time': datetime.datetime(2013, 2, 12, 20, 34, 51), 'rate': 2, 'updated_at': datetime.datetime(2010, 8, 7, 14, 54, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b8727be7-799e-4cf8-8d48-8378a749b268', 'job_description': 'Ergonomic reciprocal matrix', 'start_date': datetime.datetime(2015, 9, 8, 16, 25, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 2, 19, 42, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 12, 11, 21, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83dfd2e2-efe9-4d9f-a9a5-13a1a60e8bff', 'end_date': datetime.datetime(2012, 2, 3, 6, 3, 55), 'start_time': datetime.datetime(2017, 7, 1, 5, 3, 59), 'rate': 3, 'updated_at': datetime.datetime(2014, 11, 27, 23, 34, 5), 'job_title': 'CoffeeMaker', 'service_id': 'South Africa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9be38be1-2446-4714-81f3-9d19bc7aee8d', 'job_description': 'Enterprise-wide responsive orchestration', 'start_date': datetime.datetime(2013, 7, 14, 4, 10, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 24, 0, 27, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 6, 14, 50, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '99d4345c-c3f8-4189-9179-eedbd2c43f63', 'end_date': datetime.datetime(2017, 4, 29, 10, 29), 'start_time': datetime.datetime(2015, 11, 1, 4, 55, 47), 'rate': 4, 'updated_at': datetime.datetime(2014, 8, 3, 9, 20, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '150dcd10-efce-4258-ad28-ff59f0eeb394', 'job_description': 'Multi-layered context-sensitive policy', 'start_date': datetime.datetime(2019, 10, 27, 2, 40, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 28, 3, 8, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 21, 6, 20, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3bec14d4-93ac-4fee-bbdb-d8115ba74bd3', 'end_date': datetime.datetime(2011, 10, 21, 1, 10, 55), 'start_time': datetime.datetime(2013, 12, 15, 18, 8, 56), 'rate': 5, 'updated_at': datetime.datetime(2014, 11, 22, 17, 14, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a7634443-8b66-4c46-a26a-5950291f1eb3', 'job_description': 'Managed object-oriented firmware', 'start_date': datetime.datetime(2019, 3, 25, 4, 25, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 25, 10, 41, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 21, 14, 27, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cd9c7626-8ba3-4c2a-981a-b4a45221eee0', 'end_date': datetime.datetime(2014, 5, 21, 14, 16, 15), 'start_time': datetime.datetime(2017, 1, 8, 0, 11, 17), 'rate': 3, 'updated_at': datetime.datetime(2013, 9, 23, 8, 48, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cd51a13e-7d39-4eb0-b6d1-f9cf80f9f58a', 'job_description': 'Focused mobile moratorium', 'start_date': datetime.datetime(2013, 10, 30, 4, 6, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 14, 2, 41, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 6, 22, 19, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc2d95ab-37c8-4234-94d9-78b608e2e3cc', 'end_date': datetime.datetime(2018, 12, 21, 23, 21), 'start_time': datetime.datetime(2018, 12, 12, 4, 8, 27), 'rate': 3, 'updated_at': datetime.datetime(2019, 1, 8, 5, 34, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1c13f4c0-57cf-4270-b403-a2cfab01f53a', 'job_description': 'User-centric multi-state open system', 'start_date': datetime.datetime(2015, 4, 10, 20, 14, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 11, 2, 16, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 24, 7, 30, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ece38195-ce99-4847-b6a6-7460a3fde9f7', 'end_date': datetime.datetime(2019, 4, 1, 15, 7, 6), 'start_time': datetime.datetime(2011, 1, 18, 2, 56, 54), 'rate': 2, 'updated_at': datetime.datetime(2016, 4, 21, 22, 39, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'beb60639-327b-46ab-b5fa-46945b7fa345', 'job_description': 'Cloned interactive collaboration', 'start_date': datetime.datetime(2012, 8, 30, 9, 24, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 9, 13, 53, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 30, 23, 24, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3801804b-6cfb-4917-827b-d93586a0348f', 'end_date': datetime.datetime(2019, 10, 22, 13, 43, 32), 'start_time': datetime.datetime(2019, 6, 20, 20, 45, 51), 'rate': 2, 'updated_at': datetime.datetime(2013, 9, 3, 20, 36, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8f4e28ed-0d4b-4c10-a0ce-ed81641c6194', 'job_description': 'Multi-lateral discrete knowledge base', 'start_date': datetime.datetime(2014, 5, 6, 0, 8, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 25, 14, 24, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 28, 3, 11, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8c384801-2481-4db3-8b32-ebba94a1439d', 'end_date': datetime.datetime(2015, 4, 17, 2, 41, 27), 'start_time': datetime.datetime(2011, 8, 5, 13, 2, 46), 'rate': 2, 'updated_at': datetime.datetime(2012, 2, 18, 6, 22, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '773f5450-75b0-43a9-b7fc-06b0120833f6', 'job_description': 'Automated next generation moratorium', 'start_date': datetime.datetime(2013, 5, 4, 12, 17, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 25, 23, 1, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 27, 20, 0, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a482cf36-fcd2-4ab9-adbf-8dafa7848acd', 'end_date': datetime.datetime(2011, 9, 7, 18, 3, 47), 'start_time': datetime.datetime(2018, 10, 22, 16, 12, 23), 'rate': 3, 'updated_at': datetime.datetime(2018, 4, 4, 0, 45, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fce6115c-a733-4a9d-910c-1bed50b21d22', 'job_description': 'Devolved interactive policy', 'start_date': datetime.datetime(2012, 9, 24, 0, 3, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 1, 10, 28, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 14, 9, 28, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '823c3651-743d-4edc-a58c-b878cff66b54', 'end_date': datetime.datetime(2016, 11, 24, 18, 19, 16), 'start_time': datetime.datetime(2010, 12, 12, 17, 23, 52), 'rate': 5, 'updated_at': datetime.datetime(2018, 8, 11, 11, 48, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '435c741e-3b17-4df9-a997-e1ec960b52eb', 'job_description': 'Ameliorated bifurcated data-warehouse', 'start_date': datetime.datetime(2013, 8, 26, 10, 33, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 31, 11, 7, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 24, 20, 54, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b18f340c-9a4f-4b4a-b1a0-290ab599b6e4', 'end_date': datetime.datetime(2017, 6, 30, 15, 21, 55), 'start_time': datetime.datetime(2019, 3, 20, 20, 33, 46), 'rate': 1, 'updated_at': datetime.datetime(2015, 12, 29, 6, 24, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '60d122a6-84cb-4214-9505-604d804c7287', 'job_description': 'Decentralized reciprocal matrix', 'start_date': datetime.datetime(2012, 8, 13, 12, 29, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 30, 2, 47, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 9, 21, 55, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ec93cd7b-83c1-4d60-9b63-6346c30a9df4', 'end_date': datetime.datetime(2019, 10, 16, 11, 44, 4), 'start_time': datetime.datetime(2017, 4, 9, 5, 28, 7), 'rate': 2, 'updated_at': datetime.datetime(2018, 1, 6, 1, 6, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '22f13f30-5cfc-4f63-a4c9-cd18c5facc53', 'job_description': 'Digitized modular attitude', 'start_date': datetime.datetime(2014, 10, 22, 23, 58, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 10, 9, 39, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 22, 17, 22, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4c2f8424-06f0-4295-a4cc-31b24a1e817c', 'end_date': datetime.datetime(2012, 7, 10, 7, 39, 15), 'start_time': datetime.datetime(2019, 4, 16, 16, 16, 12), 'rate': 5, 'updated_at': datetime.datetime(2019, 5, 14, 12, 7, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5e6863f4-c1c8-43cb-b855-e4e9b0850c7d', 'job_description': 'Proactive web-enabled pricing structure', 'start_date': datetime.datetime(2015, 8, 22, 9, 37, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 24, 3, 31, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 14, 9, 34, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '281bdb00-03f3-43f9-bc5d-04f2d3a0c45f', 'end_date': datetime.datetime(2017, 9, 20, 11, 52, 21), 'start_time': datetime.datetime(2013, 10, 3, 10, 58, 52), 'rate': 2, 'updated_at': datetime.datetime(2018, 5, 6, 7, 14, 56), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'be06aa0d-6214-475f-be41-4293c0070abf', 'job_description': 'Business-focused tertiary superstructure', 'start_date': datetime.datetime(2014, 12, 17, 8, 36, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 6, 14, 21, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 24, 13, 44, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cfa8ed02-d6d0-4e2e-823c-0a5109729773', 'end_date': datetime.datetime(2018, 7, 28, 10, 51, 21), 'start_time': datetime.datetime(2010, 10, 29, 1, 46, 24), 'rate': 1, 'updated_at': datetime.datetime(2015, 11, 19, 14, 20, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6f0bea95-5792-4cfe-b7c2-591655c0f0df', 'job_description': 'User-centric eco-centric local area network', 'start_date': datetime.datetime(2017, 11, 24, 4, 56, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 16, 7, 8, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 15, 17, 15, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bd5e1267-422f-49fd-a3e4-f933b31bed85', 'end_date': datetime.datetime(2016, 8, 23, 19, 37, 41), 'start_time': datetime.datetime(2017, 9, 23, 6, 14, 11), 'rate': 1, 'updated_at': datetime.datetime(2011, 3, 31, 14, 2, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b969b62f-e3a8-4c94-9be8-62bdeba2f720', 'job_description': 'Re-engineered multi-state database', 'start_date': datetime.datetime(2010, 10, 3, 3, 7, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 22, 0, 32, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 18, 20, 32, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5cc43da3-1a99-413a-bebb-3dfef0b68cc8', 'end_date': datetime.datetime(2015, 2, 20, 3, 6, 30), 'start_time': datetime.datetime(2017, 11, 29, 22, 43, 3), 'rate': 4, 'updated_at': datetime.datetime(2012, 7, 21, 8, 45, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2ec184a5-5d28-4b95-b2f2-a8ebfa75d634', 'job_description': 'Quality-focused scalable circuit', 'start_date': datetime.datetime(2014, 8, 9, 12, 41, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 6, 5, 25, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 25, 4, 24, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '579711f9-20da-4d86-b5c8-fbc846e21b64', 'end_date': datetime.datetime(2011, 11, 16, 22, 36, 46), 'start_time': datetime.datetime(2012, 9, 26, 13, 24, 19), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 13, 14, 46, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aef2c1b9-ac5b-4317-975c-13b413bfb0af', 'job_description': 'Horizontal multi-tasking software', 'start_date': datetime.datetime(2011, 12, 4, 10, 54, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 30, 10, 35, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 5, 12, 52, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c17565f5-9860-4844-8140-8f8c4a9e4fda', 'end_date': datetime.datetime(2014, 9, 20, 9, 6, 14), 'start_time': datetime.datetime(2010, 6, 18, 23, 57, 4), 'rate': 2, 'updated_at': datetime.datetime(2011, 10, 1, 1, 18, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Latvia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '19a13a8b-27d0-4ef8-8472-1e454311ae61', 'job_description': 'Cross-platform holistic attitude', 'start_date': datetime.datetime(2018, 3, 27, 23, 26, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 31, 10, 59, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 5, 15, 29, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c1978548-7b24-49f3-93cc-770319f40c3f', 'end_date': datetime.datetime(2012, 3, 14, 9, 17, 1), 'start_time': datetime.datetime(2019, 9, 28, 4, 37, 6), 'rate': 4, 'updated_at': datetime.datetime(2016, 1, 2, 18, 41, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ab1b9d4f-f819-4204-9187-b1f039c3c185', 'job_description': 'Robust neutral productivity', 'start_date': datetime.datetime(2017, 4, 3, 18, 2, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 21, 23, 54, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 12, 4, 48, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd070c213-d9c6-47a8-ba35-194f14cd344a', 'end_date': datetime.datetime(2014, 2, 7, 2, 4, 19), 'start_time': datetime.datetime(2017, 3, 21, 6, 49, 11), 'rate': 2, 'updated_at': datetime.datetime(2013, 7, 29, 18, 6, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4351e89f-880c-425d-af91-4b735c1f85bb', 'job_description': 'Robust maximized extranet', 'start_date': datetime.datetime(2013, 5, 1, 13, 56, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 23, 1, 25, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 16, 12, 57, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '044195df-f87b-4499-ab5e-bbe8f0bd0054', 'end_date': datetime.datetime(2018, 10, 6, 5, 21, 30), 'start_time': datetime.datetime(2010, 4, 25, 1, 22, 18), 'rate': 2, 'updated_at': datetime.datetime(2012, 2, 14, 2, 41, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bf4bc692-45fa-4ffd-8acf-c9c73afe9623', 'job_description': 'Future-proofed actuating methodology', 'start_date': datetime.datetime(2017, 3, 27, 20, 14, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 16, 7, 33, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 18, 20, 2, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '89492749-8bd5-4ffc-a4ea-c8a6384d6105', 'end_date': datetime.datetime(2018, 5, 24, 1, 5, 44), 'start_time': datetime.datetime(2012, 9, 15, 13, 20, 7), 'rate': 4, 'updated_at': datetime.datetime(2018, 9, 19, 11, 3, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '09f9fd49-a1f3-4681-a64c-9fba2f7d7bdb', 'job_description': 'Switchable scalable data-warehouse', 'start_date': datetime.datetime(2017, 9, 14, 15, 2, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 27, 17, 10, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 10, 1, 13, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '65598173-70f1-4adb-90f8-d38ae5292ddc', 'end_date': datetime.datetime(2018, 3, 21, 20, 8, 2), 'start_time': datetime.datetime(2011, 7, 6, 3, 39, 26), 'rate': 1, 'updated_at': datetime.datetime(2011, 1, 4, 3, 25, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Japan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '34f4e2b2-3233-44ba-9280-32093bbdf527', 'job_description': 'Polarised zero administration definition', 'start_date': datetime.datetime(2015, 6, 28, 21, 32, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 24, 10, 14, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 17, 8, 46, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3ec5e718-4b31-4acc-81f9-7fd4e0edce2e', 'end_date': datetime.datetime(2014, 3, 14, 1, 44, 37), 'start_time': datetime.datetime(2010, 1, 17, 0, 1, 38), 'rate': 5, 'updated_at': datetime.datetime(2014, 1, 14, 7, 47, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a9caac15-8885-4f47-a906-d737a249cff9', 'job_description': 'Object-based heuristic superstructure', 'start_date': datetime.datetime(2016, 5, 30, 2, 32, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 17, 11, 51, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 28, 13, 7, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e5172236-c60c-46f3-9743-f73b36591d30', 'end_date': datetime.datetime(2019, 10, 30, 16, 26, 54), 'start_time': datetime.datetime(2014, 5, 15, 9, 47, 7), 'rate': 4, 'updated_at': datetime.datetime(2011, 12, 15, 9, 31, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '58d4c728-50c8-440a-aaeb-786fce06527e', 'job_description': 'Multi-layered fault-tolerant benchmark', 'start_date': datetime.datetime(2014, 9, 16, 1, 52, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 26, 12, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 13, 10, 36, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eac825f8-5e6e-430c-9384-daf64f7e0fe8', 'end_date': datetime.datetime(2012, 4, 26, 4, 47, 10), 'start_time': datetime.datetime(2015, 11, 5, 11, 28, 5), 'rate': 1, 'updated_at': datetime.datetime(2013, 3, 12, 0, 57, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c2b88587-e426-403c-9cc0-06ae32b7efc5', 'job_description': 'Managed motivating solution', 'start_date': datetime.datetime(2019, 11, 12, 22, 51, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 3, 10, 4, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 11, 19, 27, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4a2f659b-dd59-4b24-82bd-91c3a4f2deb1', 'end_date': datetime.datetime(2014, 6, 8, 6, 10, 12), 'start_time': datetime.datetime(2012, 3, 21, 20, 18, 34), 'rate': 4, 'updated_at': datetime.datetime(2019, 3, 1, 8, 6, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2ec2a982-76a8-4f76-bb55-5aa8a72563ff', 'job_description': 'Profound systematic internet solution', 'start_date': datetime.datetime(2011, 4, 15, 20, 40, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 13, 18, 57, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 2, 7, 47, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c3799eb5-4964-4c3b-bf25-2723e74f4dfe', 'end_date': datetime.datetime(2018, 6, 24, 14, 54, 52), 'start_time': datetime.datetime(2011, 5, 7, 4, 16, 20), 'rate': 4, 'updated_at': datetime.datetime(2010, 5, 29, 16, 55, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd6901e3c-687b-4087-a14d-96a69346e8d6', 'job_description': 'Integrated motivating forecast', 'start_date': datetime.datetime(2011, 8, 7, 9, 6, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 14, 22, 6, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 11, 22, 22, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '851afbdf-b124-4ef5-b55a-14f1e389fbd8', 'end_date': datetime.datetime(2017, 9, 4, 14, 54, 48), 'start_time': datetime.datetime(2018, 3, 29, 5, 2, 7), 'rate': 1, 'updated_at': datetime.datetime(2012, 11, 26, 0, 10, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Indonesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '71814b23-f69f-40d2-86b4-7ce14482acec', 'job_description': 'Centralized bandwidth-monitored focus group', 'start_date': datetime.datetime(2013, 1, 20, 1, 21, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 22, 9, 18, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 24, 12, 13, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd2917173-2404-4700-add6-fa466fed7ef3', 'end_date': datetime.datetime(2018, 12, 4, 6, 59, 34), 'start_time': datetime.datetime(2018, 5, 15, 2, 44, 26), 'rate': 4, 'updated_at': datetime.datetime(2011, 8, 3, 7, 2, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Gambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd4359a05-0830-4f51-8983-311c7a2a407a', 'job_description': 'Grass-roots actuating help-desk', 'start_date': datetime.datetime(2015, 9, 1, 18, 24, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 14, 16, 41, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 14, 19, 44, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '691d814c-3840-4d34-93d2-564cb4741890', 'end_date': datetime.datetime(2014, 8, 30, 18, 32, 43), 'start_time': datetime.datetime(2011, 6, 23, 16, 28, 58), 'rate': 5, 'updated_at': datetime.datetime(2019, 5, 27, 18, 36, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd67972fe-e9d4-4761-884b-10a31d13ede1', 'job_description': 'Self-enabling next generation groupware', 'start_date': datetime.datetime(2019, 10, 12, 19, 47, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 20, 19, 38, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 7, 3, 21, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aa81d520-2a9b-44cf-91c8-046a17c10989', 'end_date': datetime.datetime(2016, 11, 21, 8, 58, 44), 'start_time': datetime.datetime(2018, 12, 20, 3, 2, 52), 'rate': 5, 'updated_at': datetime.datetime(2016, 3, 8, 10, 11, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bf82e9d3-13e3-4ff8-bbff-15b559bb59f7', 'job_description': 'Synergistic intangible toolset', 'start_date': datetime.datetime(2016, 12, 11, 17, 56, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 5, 11, 49, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 3, 5, 55, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a758cfbf-b240-4cc5-9fbe-b07b40c9a2e2', 'end_date': datetime.datetime(2011, 5, 17, 21, 38, 32), 'start_time': datetime.datetime(2010, 3, 28, 9, 14, 12), 'rate': 1, 'updated_at': datetime.datetime(2011, 9, 25, 13, 32, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3bc1691a-3a44-4c9f-b4f8-02fbfb46d7a8', 'job_description': 'Phased 24/7 knowledge user', 'start_date': datetime.datetime(2018, 2, 25, 4, 0, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 16, 3, 3, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 17, 16, 1, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dbcd8f59-aecd-41c6-b406-4d8a8516fc09', 'end_date': datetime.datetime(2012, 5, 20, 8, 49, 13), 'start_time': datetime.datetime(2018, 1, 20, 10, 40, 3), 'rate': 4, 'updated_at': datetime.datetime(2019, 1, 24, 2, 42, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8595956e-9ab8-4193-b217-eb90f2432d4c', 'job_description': 'Synchronised motivating customer loyalty', 'start_date': datetime.datetime(2016, 7, 25, 11, 1, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 12, 19, 58, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 22, 8, 13, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fcccc6c8-94b5-492d-a0c1-010fd3c8a329', 'end_date': datetime.datetime(2018, 4, 15, 22, 4, 15), 'start_time': datetime.datetime(2016, 3, 29, 14, 19, 20), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 17, 8, 0, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8fc9d503-23ab-4ae9-b4ef-5c69f79e06ae', 'job_description': 'Optional client-server throughput', 'start_date': datetime.datetime(2012, 10, 13, 19, 23, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 13, 22, 43, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 17, 16, 40, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd97af147-0ca0-4e41-8ab3-0028940d98f0', 'end_date': datetime.datetime(2018, 1, 2, 22, 25, 27), 'start_time': datetime.datetime(2016, 1, 12, 15, 53, 38), 'rate': 4, 'updated_at': datetime.datetime(2014, 4, 16, 2, 34, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0be689b0-732a-4f8b-9584-911a7df49ef4', 'job_description': 'Implemented executive application', 'start_date': datetime.datetime(2013, 12, 29, 4, 1, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 27, 12, 46, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 4, 14, 59, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'df9ca22b-6d08-4b7a-b188-ac1c85e73214', 'end_date': datetime.datetime(2017, 10, 24, 6, 47, 12), 'start_time': datetime.datetime(2013, 4, 3, 5, 59, 21), 'rate': 5, 'updated_at': datetime.datetime(2016, 8, 9, 19, 28, 47), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '920e4fd4-41db-4e40-b696-a6a1a7689cb2', 'job_description': 'Open-architected well-modulated support', 'start_date': datetime.datetime(2019, 7, 16, 10, 53, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 1, 8, 51, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 14, 4, 43, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '80b92f99-8623-4b8e-b4eb-063d2c222264', 'end_date': datetime.datetime(2016, 12, 3, 1, 15, 29), 'start_time': datetime.datetime(2010, 5, 28, 7, 45, 30), 'rate': 5, 'updated_at': datetime.datetime(2011, 5, 8, 3, 43, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2925a6ca-1a19-4ebc-b66c-729e91a6d5eb', 'job_description': 'Secured zero defect approach', 'start_date': datetime.datetime(2012, 7, 4, 6, 47, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 25, 16, 41, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 8, 0, 58, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c917e0a0-fb8a-49ba-ba74-9fd3b844de2e', 'end_date': datetime.datetime(2010, 5, 31, 10, 50, 26), 'start_time': datetime.datetime(2016, 5, 13, 17, 33, 46), 'rate': 4, 'updated_at': datetime.datetime(2019, 5, 15, 22, 31, 29), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b2c26e7-00e9-4d20-993c-277325e7924d', 'job_description': 'Synchronised bifurcated throughput', 'start_date': datetime.datetime(2012, 1, 26, 9, 38, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 23, 14, 10, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 16, 2, 42, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '43817319-ffc9-4468-b4e4-f0cf5c681615', 'end_date': datetime.datetime(2016, 2, 18, 18, 53, 12), 'start_time': datetime.datetime(2015, 5, 15, 23, 43, 5), 'rate': 1, 'updated_at': datetime.datetime(2018, 6, 7, 10, 40, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Andorra', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3a6def4e-6b3d-42e6-a553-c5e7eeb0a351', 'job_description': 'Ergonomic explicit interface', 'start_date': datetime.datetime(2016, 5, 11, 23, 5, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 12, 1, 26, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 2, 20, 27, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c4624436-e595-400c-a510-15a985d18bb4', 'end_date': datetime.datetime(2018, 7, 6, 17, 58, 43), 'start_time': datetime.datetime(2010, 7, 2, 5, 24, 14), 'rate': 4, 'updated_at': datetime.datetime(2012, 9, 25, 6, 46, 51), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c70fb29-afc7-4340-b9a8-2c1860d4cd15', 'job_description': 'Right-sized bi-directional customer loyalty', 'start_date': datetime.datetime(2018, 2, 26, 19, 31, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 30, 17, 5, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 21, 23, 46, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0053a65d-00d0-49a1-a255-cf9621722e3f', 'end_date': datetime.datetime(2011, 3, 9, 4, 56, 23), 'start_time': datetime.datetime(2017, 11, 17, 7, 45, 20), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 17, 6, 29, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '75c1572b-7c31-4f4d-a662-5e6357b21e71', 'job_description': 'Ergonomic non-volatile flexibility', 'start_date': datetime.datetime(2014, 2, 23, 21, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 2, 10, 34, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 17, 3, 29, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '340b9982-77e9-486b-a7f9-a1dc8502a3fc', 'end_date': datetime.datetime(2010, 5, 17, 18, 29, 57), 'start_time': datetime.datetime(2019, 6, 8, 7, 58, 58), 'rate': 2, 'updated_at': datetime.datetime(2019, 11, 6, 19, 42, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '02ed9cfa-d454-4427-82c9-9eef056c1ec4', 'job_description': 'Up-sized zero tolerance Graphic Interface', 'start_date': datetime.datetime(2013, 6, 11, 20, 29, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 11, 12, 5, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 18, 5, 0, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fac0977f-a583-490f-9d2b-a8f178f2c022', 'end_date': datetime.datetime(2019, 7, 27, 4, 58, 43), 'start_time': datetime.datetime(2013, 5, 9, 2, 17, 52), 'rate': 5, 'updated_at': datetime.datetime(2014, 12, 24, 18, 24, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '41b15960-898a-4ee1-9bd5-4efd8120be3f', 'job_description': 'Configurable 3rd generation policy', 'start_date': datetime.datetime(2015, 11, 23, 19, 48, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 28, 17, 58, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 30, 18, 51, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e19d0baf-7fe3-44d8-beae-d076843c0ea1', 'end_date': datetime.datetime(2014, 5, 21, 14, 43, 39), 'start_time': datetime.datetime(2014, 4, 27, 20, 4, 16), 'rate': 1, 'updated_at': datetime.datetime(2013, 1, 3, 1, 41, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Antigua and Barbuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '18405528-0f87-4d9e-a022-7a9b4f803eb2', 'job_description': 'Sharable methodical info-mediaries', 'start_date': datetime.datetime(2014, 9, 16, 17, 26, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 26, 2, 53, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 15, 22, 13, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '220699af-0cca-4ee1-9203-88718a3ccb04', 'end_date': datetime.datetime(2018, 11, 28, 3, 47, 40), 'start_time': datetime.datetime(2010, 7, 3, 10, 25, 11), 'rate': 3, 'updated_at': datetime.datetime(2016, 12, 14, 4, 24, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c570847c-91f1-4574-bf2e-4c3b17e161dc', 'job_description': 'Open-architected assymetric moratorium', 'start_date': datetime.datetime(2016, 5, 1, 6, 8, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 1, 20, 19, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 11, 6, 57, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2bdc470b-aa51-4022-8b6f-5c0986e0314d', 'end_date': datetime.datetime(2018, 1, 29, 12, 54, 23), 'start_time': datetime.datetime(2013, 9, 26, 4, 28, 12), 'rate': 4, 'updated_at': datetime.datetime(2012, 8, 11, 2, 19, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '469bec6c-d089-4aa7-9008-35d6c9ba53ec', 'job_description': 'Right-sized composite benchmark', 'start_date': datetime.datetime(2011, 5, 14, 6, 19, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 19, 22, 15, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 18, 11, 28, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57ea429c-8432-4fa9-8e3f-0e21293c95b4', 'end_date': datetime.datetime(2015, 8, 18, 13, 59, 3), 'start_time': datetime.datetime(2017, 11, 30, 21, 15, 36), 'rate': 5, 'updated_at': datetime.datetime(2013, 6, 2, 5, 23, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7a30b079-280c-4087-8eda-70455affee01', 'job_description': 'Cross-platform actuating attitude', 'start_date': datetime.datetime(2017, 3, 14, 7, 35, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 4, 5, 25, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 6, 5, 30, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6f8caf39-2178-4aed-924f-48ba6199b129', 'end_date': datetime.datetime(2013, 8, 26, 1, 15, 5), 'start_time': datetime.datetime(2013, 4, 21, 7, 20, 11), 'rate': 4, 'updated_at': datetime.datetime(2012, 9, 15, 8, 41, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7a412c0e-8da8-475c-89cf-b4cb9eb439e5', 'job_description': 'Horizontal hybrid architecture', 'start_date': datetime.datetime(2018, 4, 29, 9, 19, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 9, 14, 11, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 25, 17, 7, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b0d69304-7740-4721-adc5-cac944dfa0ea', 'end_date': datetime.datetime(2016, 4, 20, 13, 49, 6), 'start_time': datetime.datetime(2016, 3, 6, 4, 59, 6), 'rate': 1, 'updated_at': datetime.datetime(2014, 3, 12, 0, 16, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '33172f8d-754e-4ce7-80ea-c3da990b2a80', 'job_description': 'Optimized needs-based matrices', 'start_date': datetime.datetime(2015, 3, 11, 11, 11, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 30, 10, 20, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 22, 9, 48, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c8212652-b429-4dbb-b825-47cb2b8b2952', 'end_date': datetime.datetime(2014, 5, 12, 21, 35, 25), 'start_time': datetime.datetime(2019, 5, 30, 19, 7, 16), 'rate': 2, 'updated_at': datetime.datetime(2013, 9, 6, 16, 49, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10ff2eb1-9cbe-417b-a348-af10c9c2d3dc', 'job_description': 'Decentralized logistical interface', 'start_date': datetime.datetime(2010, 7, 15, 10, 54, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 20, 10, 43, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 27, 0, 45, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'db89e11b-9e3f-458f-9cfc-c1836d34933a', 'end_date': datetime.datetime(2017, 10, 20, 23, 9, 46), 'start_time': datetime.datetime(2010, 6, 27, 0, 18, 53), 'rate': 4, 'updated_at': datetime.datetime(2010, 7, 10, 1, 59, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Afghanistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c486c5ff-ba3c-485b-b5c5-c93a2bedd56b', 'job_description': 'Automated optimal encoding', 'start_date': datetime.datetime(2015, 6, 20, 14, 39, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 13, 2, 48, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 1, 23, 46, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f8eeac94-554d-4874-ab11-8a9082f11db1', 'end_date': datetime.datetime(2013, 6, 15, 7, 44, 2), 'start_time': datetime.datetime(2018, 11, 12, 5, 52, 10), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 21, 21, 22, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cfe255da-541c-4422-ad53-8edb24032cd4', 'job_description': 'Monitored context-sensitive success', 'start_date': datetime.datetime(2017, 12, 13, 21, 53, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 4, 8, 4, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 28, 6, 25, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bf369a20-3aba-40a8-a650-36b694f61914', 'end_date': datetime.datetime(2014, 7, 13, 0, 38, 28), 'start_time': datetime.datetime(2013, 7, 18, 21, 58, 55), 'rate': 4, 'updated_at': datetime.datetime(2010, 1, 28, 6, 16, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Liberia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '54e18e71-243b-4d06-95ee-ac58e4c79051', 'job_description': 'Balanced assymetric productivity', 'start_date': datetime.datetime(2017, 1, 24, 18, 27, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 26, 2, 9, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 7, 15, 15, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '884bd276-f65b-41b8-a32e-8b24913e1449', 'end_date': datetime.datetime(2019, 3, 21, 11, 52, 12), 'start_time': datetime.datetime(2012, 8, 15, 6, 57, 57), 'rate': 2, 'updated_at': datetime.datetime(2019, 3, 23, 2, 45, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9674d8d3-e8e9-4f4f-873b-ae6beb732b73', 'job_description': 'Networked optimal middleware', 'start_date': datetime.datetime(2016, 9, 15, 18, 44, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 7, 20, 8, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 27, 17, 21, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '381ed1a5-dfad-406e-95a8-e08b89373db4', 'end_date': datetime.datetime(2015, 3, 2, 19, 17, 29), 'start_time': datetime.datetime(2017, 9, 22, 9, 22, 35), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 13, 12, 20, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'abdcb8c1-145b-4635-afae-8bcda6ec893c', 'job_description': 'Switchable solution-oriented methodology', 'start_date': datetime.datetime(2019, 3, 11, 8, 53, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 24, 21, 42, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 4, 23, 10, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0027bf94-26a3-4b08-b5a3-b4130a1a0572', 'end_date': datetime.datetime(2019, 8, 13, 2, 29, 2), 'start_time': datetime.datetime(2015, 6, 5, 15, 17, 52), 'rate': 5, 'updated_at': datetime.datetime(2016, 8, 8, 19, 33, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '74d61278-02b3-46c7-b2e6-e93f46d03cb8', 'job_description': 'Universal fresh-thinking conglomeration', 'start_date': datetime.datetime(2018, 2, 28, 22, 32, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 30, 5, 18, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 28, 1, 46, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77826ae6-4ee9-49f1-81f8-b91a3956915d', 'end_date': datetime.datetime(2019, 8, 24, 20, 35, 23), 'start_time': datetime.datetime(2011, 9, 20, 9, 29, 1), 'rate': 1, 'updated_at': datetime.datetime(2015, 12, 2, 13, 56, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '42defa8e-cdb2-462d-a8f8-234e87d64ab7', 'job_description': 'Enterprise-wide assymetric protocol', 'start_date': datetime.datetime(2019, 10, 12, 7, 36, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 25, 3, 44, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 21, 22, 52, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '14ae8d29-742b-4bc8-9a1a-d496839f8be2', 'end_date': datetime.datetime(2010, 12, 20, 7, 19, 5), 'start_time': datetime.datetime(2013, 1, 28, 5, 6, 19), 'rate': 3, 'updated_at': datetime.datetime(2016, 3, 12, 12, 40, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '54a03407-8bd8-4b3a-a33d-bcd0f2e06608', 'job_description': 'Synergistic explicit matrix', 'start_date': datetime.datetime(2019, 1, 7, 6, 12, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 5, 10, 18, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 30, 1, 33, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ba14b5e5-f032-4b7c-ac0e-3b36ec1926e2', 'end_date': datetime.datetime(2011, 2, 21, 9, 28, 15), 'start_time': datetime.datetime(2012, 5, 3, 17, 30, 10), 'rate': 2, 'updated_at': datetime.datetime(2011, 8, 9, 11, 34, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Mozambique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd40caadb-0364-42ee-8c1e-6bc4c9a53fa7', 'job_description': 'Digitized local forecast', 'start_date': datetime.datetime(2015, 8, 2, 19, 11, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 27, 21, 23, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 22, 11, 47, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc96c9df-f97f-4675-bb98-b2bd794a5207', 'end_date': datetime.datetime(2015, 1, 13, 16, 38, 34), 'start_time': datetime.datetime(2012, 9, 22, 15, 41, 44), 'rate': 5, 'updated_at': datetime.datetime(2015, 2, 15, 21, 36, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f81c0b68-293a-4b2a-ba1e-0d49cf99d089', 'job_description': 'Implemented empowering intranet', 'start_date': datetime.datetime(2011, 6, 14, 20, 9, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 20, 21, 59, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 9, 6, 47, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cb1ab8cb-8ed1-49d5-8d0d-f6928e3e8ae1', 'end_date': datetime.datetime(2011, 12, 22, 0, 8, 7), 'start_time': datetime.datetime(2018, 12, 26, 0, 32, 10), 'rate': 3, 'updated_at': datetime.datetime(2011, 1, 10, 15, 7, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cc429d21-a822-4764-87d2-8c5f299255f4', 'job_description': 'Object-based systemic initiative', 'start_date': datetime.datetime(2015, 7, 13, 11, 20, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 24, 21, 58, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 5, 19, 38, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b51afcc9-d557-4fb7-a030-e19b5f0c160a', 'end_date': datetime.datetime(2018, 4, 14, 23, 7, 11), 'start_time': datetime.datetime(2014, 11, 30, 9, 24, 38), 'rate': 3, 'updated_at': datetime.datetime(2014, 12, 26, 9, 47, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '86f68042-a2ab-41aa-b5d8-b96269c50ba9', 'job_description': 'Sharable grid-enabled methodology', 'start_date': datetime.datetime(2012, 8, 3, 11, 22, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 9, 23, 21, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 23, 16, 5, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ceab107c-d40c-4bc8-b5af-fa6fcd37117c', 'end_date': datetime.datetime(2018, 6, 15, 14, 56, 24), 'start_time': datetime.datetime(2016, 11, 14, 3, 44, 39), 'rate': 4, 'updated_at': datetime.datetime(2011, 6, 26, 12, 41, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c8aebaeb-eb18-4b4d-a8bf-b7fb6360e147', 'job_description': 'Distributed system-worthy challenge', 'start_date': datetime.datetime(2010, 12, 23, 7, 5, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 8, 2, 40, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 15, 21, 8, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '033e829e-743e-4fef-b0c9-1fa2aed4ccda', 'end_date': datetime.datetime(2012, 9, 11, 13, 51, 27), 'start_time': datetime.datetime(2014, 1, 7, 8, 5, 45), 'rate': 5, 'updated_at': datetime.datetime(2012, 4, 5, 18, 40, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a2516af4-9c88-4557-84e6-1658c4a61114', 'job_description': 'Advanced reciprocal productivity', 'start_date': datetime.datetime(2010, 8, 20, 1, 8, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 27, 7, 15, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 11, 4, 34, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '983b0b74-85a1-439f-9bb6-52caa11c0e8c', 'end_date': datetime.datetime(2013, 7, 9, 1, 10, 42), 'start_time': datetime.datetime(2017, 11, 23, 2, 29, 25), 'rate': 3, 'updated_at': datetime.datetime(2011, 11, 22, 9, 53, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ba211b05-48bb-418d-810b-e6e54f1e8802', 'job_description': 'Down-sized zero administration implementation', 'start_date': datetime.datetime(2017, 2, 25, 11, 53, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 8, 18, 22, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 16, 14, 39, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fa301a31-24b6-4274-ae27-275edae5661e', 'end_date': datetime.datetime(2017, 5, 10, 2, 52, 30), 'start_time': datetime.datetime(2018, 9, 9, 9, 56, 4), 'rate': 4, 'updated_at': datetime.datetime(2018, 8, 26, 12, 59, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35f4081e-33d8-4787-b7b2-a60b3a3f697b', 'job_description': 'Cross-platform stable conglomeration', 'start_date': datetime.datetime(2017, 3, 24, 3, 30, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 14, 5, 10, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 8, 5, 8, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1fdb11e1-d104-498f-bc01-df6fdb7878c7', 'end_date': datetime.datetime(2014, 8, 7, 10, 11, 22), 'start_time': datetime.datetime(2014, 4, 9, 12, 31, 17), 'rate': 3, 'updated_at': datetime.datetime(2017, 11, 16, 13, 49, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd498559a-9227-47f1-a904-e4cb688afe43', 'job_description': 'Cross-group zero tolerance throughput', 'start_date': datetime.datetime(2019, 8, 22, 5, 30, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 31, 0, 55, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 23, 13, 18, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '23e1c983-96cd-40fe-8cef-9b42d31b8200', 'end_date': datetime.datetime(2011, 1, 17, 1, 21, 21), 'start_time': datetime.datetime(2012, 4, 20, 14, 43, 23), 'rate': 5, 'updated_at': datetime.datetime(2017, 3, 4, 17, 9, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dcb77471-56e9-48f5-a16d-3d23870602ae', 'job_description': 'Sharable modular open architecture', 'start_date': datetime.datetime(2012, 3, 16, 12, 37, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 16, 7, 50, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 7, 10, 27, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '042e0d52-1315-42dc-b215-b1aad5de95bd', 'end_date': datetime.datetime(2015, 6, 4, 16, 33, 33), 'start_time': datetime.datetime(2011, 5, 8, 18, 16, 3), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 16, 14, 57, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Bhutan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cf85d1cc-84cb-4710-be83-0f3463f3b211', 'job_description': 'Robust client-server emulation', 'start_date': datetime.datetime(2012, 5, 15, 19, 7, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 15, 10, 21, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 4, 14, 54, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '86400235-6156-42fc-a8ac-102dd8e95327', 'end_date': datetime.datetime(2017, 4, 15, 8, 37, 7), 'start_time': datetime.datetime(2017, 6, 19, 22, 8, 34), 'rate': 2, 'updated_at': datetime.datetime(2019, 10, 3, 0, 38, 17), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f417e5f5-f6b9-4fae-bdb8-a0ef9172eb79', 'job_description': 'Universal solution-oriented protocol', 'start_date': datetime.datetime(2017, 6, 20, 2, 24, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 27, 8, 49, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 1, 22, 25, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '645583d3-a145-4d6b-a09e-0cc30f6eb0cc', 'end_date': datetime.datetime(2013, 6, 4, 22, 33, 56), 'start_time': datetime.datetime(2011, 7, 20, 14, 41, 9), 'rate': 3, 'updated_at': datetime.datetime(2012, 8, 9, 18, 55, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
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{'_id': '174f247a-e942-4fea-9057-6111611e38b7', 'job_description': 'Realigned executive productivity', 'start_date': datetime.datetime(2011, 5, 1, 15, 36, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 5, 23, 47, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 10, 4, 1, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cfbab0b0-6ace-4eba-bdc2-1f869860afde', 'end_date': datetime.datetime(2015, 12, 5, 0, 13, 45), 'start_time': datetime.datetime(2017, 2, 23, 13, 43, 49), 'rate': 4, 'updated_at': datetime.datetime(2011, 8, 31, 6, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
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{'_id': 'f32d9ecf-ce82-4c0d-aa38-c4f320b130ec', 'job_description': 'Robust non-volatile implementation', 'start_date': datetime.datetime(2016, 5, 1, 13, 59, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 14, 3, 27, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 19, 2, 4, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1235ad04-24b8-4fbf-b83f-e392dbe3b6ac', 'end_date': datetime.datetime(2012, 9, 9, 14, 20, 7), 'start_time': datetime.datetime(2013, 7, 10, 19, 41, 51), 'rate': 2, 'updated_at': datetime.datetime(2019, 2, 11, 17, 37, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
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{'_id': 'a39b3eb1-27b1-4df5-9dfd-a681894a8a76', 'job_description': 'Team-oriented needs-based Graphic Interface', 'start_date': datetime.datetime(2011, 4, 28, 12, 40, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 9, 11, 52, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 13, 3, 2, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0723948f-e9db-4daf-a976-0852bdf485fa', 'end_date': datetime.datetime(2011, 7, 5, 12, 51, 33), 'start_time': datetime.datetime(2011, 1, 18, 2, 29, 25), 'rate': 3, 'updated_at': datetime.datetime(2012, 5, 11, 16, 18, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
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{'_id': '1ffeea5f-a0a1-4b42-8d82-053b697cd4c1', 'job_description': 'Cross-platform asynchronous open system', 'start_date': datetime.datetime(2014, 10, 13, 9, 25, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 19, 5, 15, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 29, 22, 31, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3043fbce-68b2-410b-acde-a0cec79bfbf9', 'end_date': datetime.datetime(2018, 8, 25, 20, 56, 40), 'start_time': datetime.datetime(2015, 2, 13, 9, 48, 42), 'rate': 3, 'updated_at': datetime.datetime(2011, 2, 5, 18, 10, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': 'f6ce9216-1478-45ec-8889-39acede82dd1', 'job_description': 'Right-sized multi-state customer loyalty', 'start_date': datetime.datetime(2010, 4, 4, 3, 47, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 6, 2, 29, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 19, 1, 8, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '11092570-1852-4da7-9b92-70489a2d83c9', 'end_date': datetime.datetime(2018, 5, 10, 16, 58, 20), 'start_time': datetime.datetime(2013, 9, 2, 5, 47, 29), 'rate': 2, 'updated_at': datetime.datetime(2012, 3, 12, 20, 5, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': '6de42df4-1e3e-419c-9b1b-3bc340526475', 'job_description': 'Business-focused bottom-line standardization', 'start_date': datetime.datetime(2012, 4, 1, 16, 59, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 22, 14, 25, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 8, 18, 18, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '30a5f0a9-59c7-4526-8168-c5ae1174b796', 'end_date': datetime.datetime(2012, 4, 2, 23, 27, 56), 'start_time': datetime.datetime(2016, 12, 26, 7, 48, 53), 'rate': 2, 'updated_at': datetime.datetime(2012, 5, 27, 1, 21, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Jersey', 'special_note': 'thanks'}
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{'_id': '82d2cdca-4a17-4bc2-9fe3-2ab2064a8e60', 'job_description': 'Monitored zero defect superstructure', 'start_date': datetime.datetime(2019, 4, 11, 9, 56, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 25, 4, 49, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 30, 14, 51, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c579912-a574-431e-9cc9-81aaacbe992f', 'end_date': datetime.datetime(2014, 4, 21, 5, 59, 54), 'start_time': datetime.datetime(2018, 9, 20, 3, 49, 31), 'rate': 1, 'updated_at': datetime.datetime(2016, 8, 30, 10, 35, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Netherlands', 'special_note': 'thanks'}
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{'_id': '2f41c51d-f3c8-4544-94e7-e4d1d7327b1e', 'job_description': 'Focused optimal success', 'start_date': datetime.datetime(2018, 10, 7, 11, 0, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 28, 8, 53, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 13, 9, 24, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e50c0af-de3f-4f96-82cb-ff000231fa68', 'end_date': datetime.datetime(2011, 12, 24, 20, 22, 54), 'start_time': datetime.datetime(2011, 2, 3, 8, 37, 39), 'rate': 5, 'updated_at': datetime.datetime(2018, 7, 3, 6, 35, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
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{'_id': 'aa059091-29b6-4226-8a96-1c7a3b2b7039', 'job_description': 'Cross-group mission-critical standardization', 'start_date': datetime.datetime(2012, 3, 21, 19, 57, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 27, 12, 57, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 31, 9, 55, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bb2d3fbe-ce9d-4f65-a1d0-4e352b9eb928', 'end_date': datetime.datetime(2017, 6, 13, 14, 52, 4), 'start_time': datetime.datetime(2016, 3, 31, 3, 12, 14), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 8, 19, 55, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '6185ffd4-3df9-4e0f-a870-d76fc0d55e60', 'job_description': 'Re-contextualized methodical collaboration', 'start_date': datetime.datetime(2011, 2, 10, 0, 29, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 26, 5, 46, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 13, 6, 21, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a225f55c-fc9d-4de2-9dce-ec05e69f9e21', 'end_date': datetime.datetime(2012, 11, 24, 21, 57, 47), 'start_time': datetime.datetime(2018, 10, 7, 13, 39, 42), 'rate': 1, 'updated_at': datetime.datetime(2012, 5, 23, 7, 43, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': '6b88d1cf-1ff2-4038-915d-d05e6963857a', 'job_description': 'Advanced tangible benchmark', 'start_date': datetime.datetime(2019, 10, 17, 21, 46, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 17, 2, 12, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 6, 11, 44, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '895ea7b5-d2f6-4433-97d9-447ea0c0b100', 'end_date': datetime.datetime(2010, 4, 20, 13, 51, 49), 'start_time': datetime.datetime(2010, 10, 7, 23, 48, 33), 'rate': 2, 'updated_at': datetime.datetime(2015, 6, 9, 16, 56, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Argentina', 'special_note': 'thanks'}
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{'_id': '5b986cdc-0b93-4ebb-936a-1630c3eba8b2', 'job_description': 'Balanced client-driven workforce', 'start_date': datetime.datetime(2014, 10, 9, 2, 7, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 13, 2, 58, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 15, 5, 44, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '265d3d32-e69a-4f25-829b-25bc5dde7f27', 'end_date': datetime.datetime(2010, 4, 24, 9, 23, 14), 'start_time': datetime.datetime(2015, 12, 28, 14, 45, 34), 'rate': 1, 'updated_at': datetime.datetime(2016, 4, 10, 9, 2, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
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{'_id': '99c8241f-5949-4026-81a4-fcb1ce11c9f8', 'job_description': 'Virtual reciprocal firmware', 'start_date': datetime.datetime(2016, 1, 1, 1, 31, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 14, 22, 20, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 27, 4, 11, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3ebc3fa1-da9b-4a3c-a405-336e7db58013', 'end_date': datetime.datetime(2013, 4, 1, 17, 30, 53), 'start_time': datetime.datetime(2016, 7, 1, 0, 16, 10), 'rate': 3, 'updated_at': datetime.datetime(2017, 3, 26, 15, 57, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
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{'_id': 'e152b934-be4a-4c1b-b629-e39f3d5ab55e', 'job_description': 'Future-proofed 6th generation success', 'start_date': datetime.datetime(2011, 12, 20, 0, 34, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 10, 23, 32, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 8, 11, 13, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ae49cfcf-a698-4d0b-81f8-847f8af237a4', 'end_date': datetime.datetime(2018, 1, 27, 6, 26, 37), 'start_time': datetime.datetime(2016, 3, 4, 13, 24, 36), 'rate': 1, 'updated_at': datetime.datetime(2010, 1, 21, 7, 4, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
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{'_id': 'd5888989-dad3-4842-be94-dd6e04f0b6b2', 'job_description': 'Fully-configurable cohesive definition', 'start_date': datetime.datetime(2018, 6, 25, 0, 14, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 14, 11, 47, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 26, 0, 13, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3df27530-9969-4efe-922f-c61c6a02a96d', 'end_date': datetime.datetime(2013, 10, 7, 21, 46, 54), 'start_time': datetime.datetime(2019, 7, 31, 16, 38, 50), 'rate': 2, 'updated_at': datetime.datetime(2015, 12, 26, 4, 45, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
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{'_id': '6416b983-36b2-44c6-abf0-0feb6f7d5353', 'job_description': 'Business-focused real-time local area network', 'start_date': datetime.datetime(2013, 6, 20, 2, 26, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 28, 11, 18, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 22, 4, 11, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a80a10a2-9d21-4d6f-add8-70a0623cfe54', 'end_date': datetime.datetime(2016, 10, 22, 5, 21, 52), 'start_time': datetime.datetime(2011, 3, 6, 23, 20, 54), 'rate': 3, 'updated_at': datetime.datetime(2015, 8, 28, 14, 42, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': 'cc5f95c4-5f87-4b03-ba8e-03d1c32d1c96', 'job_description': 'Fundamental grid-enabled internet solution', 'start_date': datetime.datetime(2018, 2, 5, 6, 55, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 30, 12, 17, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 22, 20, 29, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ec172872-1c28-4069-af6d-a696e6f402c4', 'end_date': datetime.datetime(2013, 5, 11, 2, 27, 8), 'start_time': datetime.datetime(2015, 9, 10, 23, 32, 41), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 17, 10, 40, 13), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
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{'_id': 'a6c7d970-a48e-4f80-aa69-1f7668c06cd0', 'job_description': 'Down-sized 3rd generation artificial intelligence', 'start_date': datetime.datetime(2016, 7, 9, 7, 39, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 27, 1, 4, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 1, 13, 29, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8572ef82-0229-44f7-8462-e7cef4331c99', 'end_date': datetime.datetime(2019, 10, 30, 6, 24, 1), 'start_time': datetime.datetime(2017, 6, 28, 14, 12, 46), 'rate': 2, 'updated_at': datetime.datetime(2013, 5, 5, 8, 28, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Cyprus', 'special_note': 'thanks'}
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{'_id': '0c42a38f-6a53-45a3-af93-ef302771061a', 'job_description': 'Digitized multi-tasking functionalities', 'start_date': datetime.datetime(2018, 8, 10, 16, 25, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 19, 1, 41, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 4, 3, 19, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5db00365-3a8f-4391-afa3-92da3daecbf1', 'end_date': datetime.datetime(2014, 9, 12, 0, 56, 57), 'start_time': datetime.datetime(2016, 2, 6, 22, 2), 'rate': 2, 'updated_at': datetime.datetime(2017, 8, 5, 9, 55, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'baa82212-bf12-41b8-93ab-8e80e5305390', 'job_description': 'Ameliorated executive capacity', 'start_date': datetime.datetime(2014, 5, 24, 20, 38, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 27, 3, 5, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 21, 0, 15, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a7bf4478-47ce-41e6-bb31-b392b425dcdf', 'end_date': datetime.datetime(2019, 1, 9, 17, 14, 26), 'start_time': datetime.datetime(2011, 5, 8, 7, 54, 58), 'rate': 3, 'updated_at': datetime.datetime(2012, 12, 16, 10, 31, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'db0c5a71-07d9-4ef0-8fdf-a17b364a602a', 'job_description': 'Secured interactive monitoring', 'start_date': datetime.datetime(2016, 12, 25, 17, 28, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 25, 17, 24, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 9, 13, 16, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '87ac8949-99ec-4b91-bded-04878567abb5', 'end_date': datetime.datetime(2018, 9, 5, 11, 0, 12), 'start_time': datetime.datetime(2017, 1, 25, 19, 35, 35), 'rate': 1, 'updated_at': datetime.datetime(2014, 4, 12, 3, 44, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '38aa9a21-f2ef-49a1-9bed-f6ecea3b97bc', 'job_description': 'Universal 5th generation policy', 'start_date': datetime.datetime(2016, 7, 18, 7, 45, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 26, 19, 39, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 19, 23, 15, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '716a8147-1862-4cf6-b12d-b40823f964a9', 'end_date': datetime.datetime(2015, 9, 24, 0, 18, 51), 'start_time': datetime.datetime(2018, 1, 30, 12, 21, 27), 'rate': 2, 'updated_at': datetime.datetime(2017, 3, 13, 19, 32, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fe422419-e6f8-486a-80cc-a442ee4450b8', 'job_description': 'Synergized bottom-line monitoring', 'start_date': datetime.datetime(2019, 5, 3, 19, 32, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 30, 20, 15, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 5, 5, 58, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '243decfa-f2cc-4f41-9226-17d84d13105b', 'end_date': datetime.datetime(2018, 4, 29, 7, 40, 13), 'start_time': datetime.datetime(2017, 3, 6, 22, 18, 35), 'rate': 4, 'updated_at': datetime.datetime(2013, 1, 8, 10, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f2aea865-4faa-4698-a1ad-a322a3fa9e83', 'job_description': 'Innovative system-worthy challenge', 'start_date': datetime.datetime(2010, 1, 26, 16, 18, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 24, 16, 50, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 3, 20, 13, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '23b57972-94b7-46ee-93d6-e1a351dd2534', 'end_date': datetime.datetime(2017, 8, 28, 6, 33, 20), 'start_time': datetime.datetime(2011, 5, 19, 17, 7, 6), 'rate': 1, 'updated_at': datetime.datetime(2015, 2, 27, 19, 16, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e6feea14-2890-4ca5-9161-96698b8ee235', 'job_description': 'Proactive next generation array', 'start_date': datetime.datetime(2019, 1, 26, 18, 12, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 9, 11, 11, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 28, 15, 33, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a7ec619b-fdac-4ede-a892-4ce80fdcc278', 'end_date': datetime.datetime(2010, 6, 16, 19, 53, 44), 'start_time': datetime.datetime(2017, 12, 3, 0, 57, 1), 'rate': 1, 'updated_at': datetime.datetime(2016, 9, 29, 1, 43, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '837ddd75-5a24-4c37-8c34-8ed075b228f0', 'job_description': 'Reverse-engineered directional Graphic Interface', 'start_date': datetime.datetime(2012, 5, 14, 7, 28, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 9, 9, 52, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 7, 6, 11, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '90fc495f-3c0d-4292-b8cd-40ccefb1e7dd', 'end_date': datetime.datetime(2017, 2, 12, 15, 59, 27), 'start_time': datetime.datetime(2019, 11, 5, 18, 6, 47), 'rate': 4, 'updated_at': datetime.datetime(2014, 4, 22, 2, 6, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9ecd0310-c546-4061-a113-5790b9f3c0f9', 'job_description': 'Triple-buffered impactful leverage', 'start_date': datetime.datetime(2010, 1, 18, 21, 55, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 21, 17, 45, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 27, 13, 0, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb39448a-53fa-4e3f-88ec-8babf02a2e71', 'end_date': datetime.datetime(2019, 1, 11, 2, 10, 45), 'start_time': datetime.datetime(2018, 10, 28, 7, 35, 39), 'rate': 5, 'updated_at': datetime.datetime(2013, 4, 19, 4, 12, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9c1cf7af-5252-4e1c-a77e-f877b862527f', 'job_description': 'Customizable bifurcated approach', 'start_date': datetime.datetime(2011, 7, 29, 2, 26, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 21, 5, 12, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 24, 11, 13, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1900735e-188c-4483-bb37-fd61a60eacbd', 'end_date': datetime.datetime(2016, 5, 2, 23, 32, 14), 'start_time': datetime.datetime(2012, 1, 14, 9, 48, 5), 'rate': 2, 'updated_at': datetime.datetime(2016, 4, 26, 11, 13, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9c5ad2d5-fff6-4cea-99fe-ef25a23f1dc8', 'job_description': 'Switchable bi-directional help-desk', 'start_date': datetime.datetime(2014, 8, 27, 9, 33, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 23, 13, 51, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 20, 0, 30, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e8b7ac1d-f788-4545-a22d-0bf3c42f7841', 'end_date': datetime.datetime(2015, 5, 16, 22, 50, 9), 'start_time': datetime.datetime(2019, 1, 17, 19, 15, 15), 'rate': 4, 'updated_at': datetime.datetime(2016, 4, 14, 15, 17, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c1e54640-d62f-4c89-b633-82bc0d955100', 'job_description': 'Face to face global firmware', 'start_date': datetime.datetime(2019, 3, 22, 13, 21, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 18, 4, 37, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 4, 5, 52, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3435bb05-ad1b-4764-ac5e-a294d39c1c5e', 'end_date': datetime.datetime(2012, 11, 14, 18, 32, 45), 'start_time': datetime.datetime(2019, 3, 21, 7, 30, 38), 'rate': 4, 'updated_at': datetime.datetime(2019, 8, 29, 0, 37, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '89694e2f-d8d0-4bac-bf40-8ebdbde93321', 'job_description': 'Open-architected value-added focus group', 'start_date': datetime.datetime(2010, 11, 24, 16, 53, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 5, 1, 19, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 30, 17, 36, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'efc28a32-cffa-4125-b96f-99e40215da83', 'end_date': datetime.datetime(2010, 1, 13, 21, 4, 39), 'start_time': datetime.datetime(2015, 1, 29, 6, 58, 46), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 9, 20, 49, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8ee64140-7fcd-4a6f-9b1c-dfd7638fe2a7', 'job_description': 'Synergistic global product', 'start_date': datetime.datetime(2013, 11, 13, 8, 0, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 13, 17, 22, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 28, 17, 47, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f6377d0e-3639-4a28-bac3-d73aa10fca47', 'end_date': datetime.datetime(2018, 6, 15, 7, 19, 7), 'start_time': datetime.datetime(2013, 1, 24, 0, 43, 30), 'rate': 4, 'updated_at': datetime.datetime(2019, 3, 5, 14, 35, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8221cd1-6a34-4a9c-a038-11dc0169a28c', 'job_description': 'Persistent 4th generation challenge', 'start_date': datetime.datetime(2012, 6, 29, 23, 26, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 11, 9, 54, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 14, 6, 12, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '780cba3c-8832-4033-ba1e-b21af8d76d71', 'end_date': datetime.datetime(2014, 11, 17, 18, 15, 47), 'start_time': datetime.datetime(2017, 11, 18, 15, 0, 37), 'rate': 5, 'updated_at': datetime.datetime(2017, 2, 26, 21, 30, 40), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'deaba558-7c7a-452c-8275-3eb08c246164', 'job_description': 'Re-contextualized well-modulated Graphical User Interface', 'start_date': datetime.datetime(2017, 11, 12, 14, 41, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 18, 4, 54, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 1, 8, 55, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f883467a-c9a2-4d03-ac1e-db175014a4ef', 'end_date': datetime.datetime(2016, 3, 25, 4, 22, 49), 'start_time': datetime.datetime(2018, 2, 22, 20, 0, 39), 'rate': 2, 'updated_at': datetime.datetime(2017, 6, 5, 8, 6, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b63d26dc-3da5-4276-8901-322bf78ce2d1', 'job_description': 'Multi-channelled responsive open architecture', 'start_date': datetime.datetime(2010, 8, 8, 12, 35, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 5, 19, 22, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 26, 5, 3, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '30a3a574-81a2-46e5-8125-57dbdfee4828', 'end_date': datetime.datetime(2017, 6, 12, 18, 50, 25), 'start_time': datetime.datetime(2014, 4, 10, 8, 44, 11), 'rate': 4, 'updated_at': datetime.datetime(2017, 8, 25, 2, 50, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2dee1ccc-bd7f-4977-880f-9f26c60257c7', 'job_description': 'Upgradable solution-oriented ability', 'start_date': datetime.datetime(2011, 5, 25, 12, 9, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 13, 9, 44, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 19, 1, 57, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b14f3d49-3685-46e6-8741-2de3c343cf9e', 'end_date': datetime.datetime(2014, 5, 31, 11, 59, 36), 'start_time': datetime.datetime(2018, 12, 9, 12, 0, 37), 'rate': 2, 'updated_at': datetime.datetime(2019, 6, 8, 18, 11, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Grenada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ad843fc4-e984-48aa-9a9b-bced4da343ae', 'job_description': 'Seamless encompassing matrices', 'start_date': datetime.datetime(2019, 6, 3, 11, 23, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 7, 12, 8, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 2, 14, 30, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2949ea6a-bbb6-44f8-ad2d-0ff2cf985efa', 'end_date': datetime.datetime(2019, 2, 11, 20, 57, 23), 'start_time': datetime.datetime(2012, 3, 16, 13, 15), 'rate': 1, 'updated_at': datetime.datetime(2016, 11, 28, 3, 50, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b958d19e-d819-4b89-b0ea-76928126e799', 'job_description': 'Focused context-sensitive attitude', 'start_date': datetime.datetime(2014, 7, 7, 19, 21, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 10, 20, 57, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 18, 3, 16, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4cf88a2a-b45f-4928-ac85-b370374eb3c0', 'end_date': datetime.datetime(2015, 9, 14, 21, 1, 36), 'start_time': datetime.datetime(2010, 6, 29, 19, 23, 19), 'rate': 4, 'updated_at': datetime.datetime(2017, 8, 25, 10, 35, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c5a71740-4f77-4205-ad42-ad44cf86132c', 'job_description': 'Universal regional firmware', 'start_date': datetime.datetime(2015, 11, 8, 6, 9, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 30, 22, 20, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 13, 2, 19, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c7faa251-0d18-4376-bdb3-180069a62937', 'end_date': datetime.datetime(2018, 2, 16, 5, 33, 3), 'start_time': datetime.datetime(2011, 3, 1, 10, 22, 18), 'rate': 2, 'updated_at': datetime.datetime(2014, 4, 19, 17, 21, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Bangladesh', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5d88e14-009c-4e89-a45c-14a701dd9cec', 'job_description': 'Expanded optimizing help-desk', 'start_date': datetime.datetime(2014, 1, 7, 7, 50, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 23, 3, 14, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 16, 19, 42, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '525c260b-947e-4c92-b69b-84d721aaf5f5', 'end_date': datetime.datetime(2013, 10, 8, 10, 50, 59), 'start_time': datetime.datetime(2018, 6, 20, 18, 10, 41), 'rate': 1, 'updated_at': datetime.datetime(2019, 6, 18, 14, 45, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ee5e0213-c6b0-4fc4-84db-52c542492e2b', 'job_description': 'Down-sized assymetric matrices', 'start_date': datetime.datetime(2011, 12, 20, 2, 40, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 25, 23, 15, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 22, 0, 13, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eebd147b-6cf9-48b4-baf8-1907393ae556', 'end_date': datetime.datetime(2011, 4, 20, 19, 19, 51), 'start_time': datetime.datetime(2018, 2, 17, 0, 40, 32), 'rate': 2, 'updated_at': datetime.datetime(2011, 6, 21, 18, 2, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '97eb4755-f5a1-496d-a3f0-8b72ca49098f', 'job_description': 'Cross-group intermediate application', 'start_date': datetime.datetime(2012, 11, 28, 23, 8, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 5, 10, 7, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 14, 0, 8, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd58936c4-9b88-4a8c-804f-b45f184c60ad', 'end_date': datetime.datetime(2012, 12, 17, 17, 2, 35), 'start_time': datetime.datetime(2017, 1, 15, 10, 50, 30), 'rate': 1, 'updated_at': datetime.datetime(2019, 1, 24, 18, 27, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '55bed6aa-80bc-4472-b8d5-0fc64cb61f37', 'job_description': 'Optimized optimizing software', 'start_date': datetime.datetime(2019, 9, 12, 8, 1, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 10, 2, 8, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 28, 18, 46, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '93c21ca6-cc76-4b6b-af3b-5ce27946cc4a', 'end_date': datetime.datetime(2016, 3, 3, 10, 19, 7), 'start_time': datetime.datetime(2012, 7, 10, 3, 24, 38), 'rate': 4, 'updated_at': datetime.datetime(2011, 7, 18, 1, 27, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81519d48-f7c4-40d8-b18f-cf739072ad07', 'job_description': 'Synergistic needs-based solution', 'start_date': datetime.datetime(2016, 3, 9, 0, 46, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 4, 1, 31, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 30, 15, 7, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c4604abf-6b4d-458f-89c1-dfb72b4fb461', 'end_date': datetime.datetime(2011, 1, 23, 18, 49, 44), 'start_time': datetime.datetime(2011, 6, 25, 21, 26, 51), 'rate': 4, 'updated_at': datetime.datetime(2019, 9, 9, 14, 53, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e109c5ac-cc37-473b-a66e-4226d8e4d427', 'job_description': 'Front-line dedicated orchestration', 'start_date': datetime.datetime(2017, 11, 22, 23, 47, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 15, 23, 16, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 11, 17, 32, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '41b26251-0108-4304-99e6-e055d6767455', 'end_date': datetime.datetime(2018, 9, 5, 6, 31, 50), 'start_time': datetime.datetime(2015, 5, 15, 23, 2, 51), 'rate': 1, 'updated_at': datetime.datetime(2016, 9, 24, 3, 47, 51), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '59eca35a-43ad-4183-8842-d4bde8148128', 'job_description': 'Multi-lateral 5th generation Graphical User Interface', 'start_date': datetime.datetime(2011, 2, 1, 8, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 13, 2, 40, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 18, 8, 43, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '66da5a3e-1753-4e39-a951-90836c95028e', 'end_date': datetime.datetime(2016, 9, 11, 0, 18, 42), 'start_time': datetime.datetime(2012, 7, 9, 15, 49, 29), 'rate': 5, 'updated_at': datetime.datetime(2017, 7, 28, 21, 34, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '266dc3d0-a301-48ab-846e-ce048cd76992', 'job_description': 'Team-oriented impactful methodology', 'start_date': datetime.datetime(2011, 12, 30, 20, 40, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 20, 1, 53, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 10, 8, 21, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c71b09f5-e015-4f82-b0f5-958952f5a48a', 'end_date': datetime.datetime(2018, 8, 5, 1, 45, 26), 'start_time': datetime.datetime(2011, 1, 6, 4, 29, 43), 'rate': 1, 'updated_at': datetime.datetime(2013, 3, 3, 12, 26, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Anguilla', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '58ab997e-bf8c-48dd-9b0d-c642238eba07', 'job_description': 'Mandatory bottom-line superstructure', 'start_date': datetime.datetime(2013, 5, 11, 8, 46, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 23, 12, 25, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 4, 1, 49, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dbd1cc62-ef8d-455c-8c87-b76a6e90704c', 'end_date': datetime.datetime(2017, 1, 24, 13, 52, 40), 'start_time': datetime.datetime(2011, 11, 7, 1, 44, 3), 'rate': 3, 'updated_at': datetime.datetime(2019, 7, 16, 7, 7, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '832a7218-f64a-4784-9fe4-410bad64cd5d', 'job_description': 'Function-based dedicated projection', 'start_date': datetime.datetime(2010, 6, 23, 15, 17, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 16, 11, 14, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 17, 19, 40, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5cd563cd-b115-48d1-993c-6def552846a6', 'end_date': datetime.datetime(2015, 6, 13, 17, 37, 43), 'start_time': datetime.datetime(2017, 6, 29, 7, 56, 40), 'rate': 1, 'updated_at': datetime.datetime(2010, 12, 29, 10, 28, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Kenya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b1117e7c-238a-460f-8a57-1431b9e715fb', 'job_description': 'Up-sized object-oriented benchmark', 'start_date': datetime.datetime(2010, 7, 23, 16, 32, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 15, 9, 58, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 29, 6, 56, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '723027be-3aa6-4d18-af07-91b6f545c392', 'end_date': datetime.datetime(2013, 9, 8, 7, 54, 47), 'start_time': datetime.datetime(2017, 12, 16, 8, 16, 29), 'rate': 3, 'updated_at': datetime.datetime(2017, 2, 6, 16, 17, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8cd7f8b5-e215-4f4f-b75b-1b708932726c', 'job_description': 'Persevering clear-thinking database', 'start_date': datetime.datetime(2016, 2, 18, 17, 5, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 22, 1, 43, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 21, 1, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0932e9cb-7801-443e-b15c-7dc55838a957', 'end_date': datetime.datetime(2014, 10, 12, 16, 44, 35), 'start_time': datetime.datetime(2017, 5, 17, 12, 34, 44), 'rate': 3, 'updated_at': datetime.datetime(2010, 10, 18, 15, 10, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '473fd229-688c-4e80-8dca-18bc1ec3e79e', 'job_description': 'Total directional infrastructure', 'start_date': datetime.datetime(2019, 1, 24, 8, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 20, 17, 20, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 4, 2, 46, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a9bfe691-01f2-4ce9-9c30-398f9df7faad', 'end_date': datetime.datetime(2010, 3, 23, 8, 31, 21), 'start_time': datetime.datetime(2012, 10, 22, 3, 57, 27), 'rate': 5, 'updated_at': datetime.datetime(2011, 2, 27, 7, 49, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '112e250c-f8fa-4d17-a70e-4fe44ea5d471', 'job_description': 'Proactive fault-tolerant core', 'start_date': datetime.datetime(2013, 12, 20, 20, 38, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 26, 21, 41, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 1, 12, 46, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'db9c5268-d439-49fa-a63d-af0d3aab7408', 'end_date': datetime.datetime(2019, 1, 14, 5, 16, 18), 'start_time': datetime.datetime(2013, 9, 18, 14, 49, 48), 'rate': 4, 'updated_at': datetime.datetime(2012, 2, 10, 0, 9, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '69b45262-4970-4841-82db-d39dfef051ac', 'job_description': 'Cross-group transitional standardization', 'start_date': datetime.datetime(2014, 11, 15, 15, 52, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 8, 23, 20, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 10, 17, 27, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1456d6eb-ced1-4ce0-bf3f-6248f3dae0bf', 'end_date': datetime.datetime(2014, 10, 11, 13, 56, 33), 'start_time': datetime.datetime(2018, 10, 22, 16, 18, 9), 'rate': 1, 'updated_at': datetime.datetime(2010, 11, 18, 20, 55, 16), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c906ede-a845-4d6f-b66d-4cd9cc40d5c9', 'job_description': 'Balanced holistic system engine', 'start_date': datetime.datetime(2017, 12, 5, 23, 41, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 9, 19, 52, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 7, 17, 5, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9b2d5b3-9d4b-4a26-95a5-734b573da8a4', 'end_date': datetime.datetime(2017, 1, 31, 2, 32, 28), 'start_time': datetime.datetime(2011, 8, 3, 16, 30, 33), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 15, 15, 59, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Iraq', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a571a9a2-dd94-446c-a0a2-ed355410f594', 'job_description': 'Progressive local process improvement', 'start_date': datetime.datetime(2015, 11, 13, 2, 22, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 26, 2, 24, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 18, 9, 26, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b2133683-a6d7-4b88-9b82-fbf9833f277c', 'end_date': datetime.datetime(2019, 8, 24, 3, 2, 23), 'start_time': datetime.datetime(2011, 8, 31, 22, 57, 52), 'rate': 3, 'updated_at': datetime.datetime(2017, 10, 29, 17, 0, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8dc90a1b-8633-4596-b70f-7da967a494ce', 'job_description': 'Multi-lateral client-server project', 'start_date': datetime.datetime(2017, 7, 26, 16, 57, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 3, 1, 13, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 19, 4, 47, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ee3df577-6ea4-44a2-abc1-f9e0c9f1e30d', 'end_date': datetime.datetime(2014, 1, 20, 23, 47), 'start_time': datetime.datetime(2017, 4, 28, 23, 10, 36), 'rate': 1, 'updated_at': datetime.datetime(2019, 3, 6, 5, 43, 25), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '933fb097-fa9f-414e-9401-c7c7d6326c6c', 'job_description': 'Optimized systematic process improvement', 'start_date': datetime.datetime(2010, 4, 18, 10, 31, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 13, 10, 50, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 23, 5, 12, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '581cf0b6-a955-4ed2-958d-da08e8f27aca', 'end_date': datetime.datetime(2018, 1, 17, 16, 26, 49), 'start_time': datetime.datetime(2018, 12, 17, 3, 46, 55), 'rate': 4, 'updated_at': datetime.datetime(2017, 7, 26, 13, 34, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Finland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '27f88c71-de0c-4467-9894-ce9a8e3cff37', 'job_description': 'Organic local monitoring', 'start_date': datetime.datetime(2011, 10, 26, 22, 58, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 24, 5, 30, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 30, 5, 32, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f7e8d18-01f1-4cff-baa2-23d8e2b34082', 'end_date': datetime.datetime(2011, 5, 1, 19, 49, 35), 'start_time': datetime.datetime(2013, 6, 3, 2, 4, 56), 'rate': 4, 'updated_at': datetime.datetime(2010, 5, 24, 3, 43, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de30bc37-447c-435d-9a93-ae82646beb75', 'job_description': 'Implemented reciprocal methodology', 'start_date': datetime.datetime(2013, 2, 1, 23, 48, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 2, 9, 9, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 16, 14, 18, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '523efe81-3bbb-48b3-aaf0-42e2628115a9', 'end_date': datetime.datetime(2018, 6, 19, 13, 53, 29), 'start_time': datetime.datetime(2016, 9, 30, 22, 34, 11), 'rate': 2, 'updated_at': datetime.datetime(2015, 10, 15, 1, 11, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd0a9d0df-0f74-4ec8-8088-4fba531b715a', 'job_description': 'Managed explicit website', 'start_date': datetime.datetime(2019, 1, 18, 7, 8, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 22, 21, 1, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 12, 1, 33, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '130a3a81-5044-4d78-9a83-156d35dbc488', 'end_date': datetime.datetime(2010, 3, 3, 8, 27, 38), 'start_time': datetime.datetime(2012, 4, 15, 0, 34, 17), 'rate': 4, 'updated_at': datetime.datetime(2017, 10, 9, 22, 25, 43), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aa4fe834-a556-42ca-99a8-af15b041c2e0', 'job_description': 'Virtual systemic utilisation', 'start_date': datetime.datetime(2012, 10, 31, 16, 8, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 30, 8, 32, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 21, 13, 38, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9e25db0-e56d-4219-9d96-57475577edd5', 'end_date': datetime.datetime(2011, 6, 16, 7, 36, 13), 'start_time': datetime.datetime(2019, 2, 22, 10, 25, 55), 'rate': 2, 'updated_at': datetime.datetime(2010, 12, 27, 4, 10, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ca3a707b-c788-4518-a133-fb08e525620e', 'job_description': 'Switchable mission-critical architecture', 'start_date': datetime.datetime(2013, 10, 28, 6, 38, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 17, 10, 25, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 4, 19, 26, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '177b2bb5-b684-4078-be1f-4d423e9876aa', 'end_date': datetime.datetime(2011, 2, 10, 0, 33, 14), 'start_time': datetime.datetime(2019, 8, 24, 12, 40, 11), 'rate': 1, 'updated_at': datetime.datetime(2015, 10, 14, 3, 15, 28), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e5c9a88e-f8d2-4d69-ab0f-98106b5477cc', 'job_description': 'Automated eco-centric secured line', 'start_date': datetime.datetime(2012, 3, 12, 22, 20, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 16, 2, 43, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 8, 3, 3, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0accb62b-43e7-4602-b2b7-30a5ba208de9', 'end_date': datetime.datetime(2019, 9, 2, 23, 48, 24), 'start_time': datetime.datetime(2011, 1, 7, 1, 39, 46), 'rate': 1, 'updated_at': datetime.datetime(2017, 9, 1, 5, 45, 2), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6a63c382-8223-4f6d-872e-623d071e1c09', 'job_description': 'Open-source intermediate service-desk', 'start_date': datetime.datetime(2015, 8, 11, 8, 52, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 11, 8, 43, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 30, 15, 38, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '94ff65ca-071e-4212-9ff9-14e7d590ae75', 'end_date': datetime.datetime(2015, 6, 4, 2, 22, 31), 'start_time': datetime.datetime(2017, 11, 4, 23, 3, 58), 'rate': 1, 'updated_at': datetime.datetime(2015, 5, 17, 15, 9, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eb5cd7f2-34b8-4352-a239-3d958d1bc8d0', 'job_description': 'Polarised 4th generation functionalities', 'start_date': datetime.datetime(2013, 12, 21, 14, 36, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 14, 0, 30, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 18, 1, 42, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d54c870-8c77-4974-a7f7-388c4e31b35e', 'end_date': datetime.datetime(2015, 6, 18, 19, 21, 9), 'start_time': datetime.datetime(2015, 5, 19, 11, 51, 52), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 24, 16, 28, 53), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1138fe6a-11d3-4856-9054-a2a43897ee0c', 'job_description': 'Grass-roots local time-frame', 'start_date': datetime.datetime(2013, 4, 19, 11, 30, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 29, 1, 27, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 20, 4, 14, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c26b4aa3-fa17-4b36-9855-8a28f53ca786', 'end_date': datetime.datetime(2016, 6, 16, 19, 14, 15), 'start_time': datetime.datetime(2010, 9, 16, 21, 20, 11), 'rate': 3, 'updated_at': datetime.datetime(2014, 10, 23, 13, 8, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0beed9a2-8568-4831-8b83-c786bdedefb1', 'job_description': 'Distributed contextually-based architecture', 'start_date': datetime.datetime(2017, 10, 9, 5, 30, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 25, 11, 17, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 28, 22, 57, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'befa1283-02af-4c27-bc66-e28de73a1a80', 'end_date': datetime.datetime(2011, 5, 30, 17, 20, 38), 'start_time': datetime.datetime(2019, 3, 6, 23, 55, 50), 'rate': 1, 'updated_at': datetime.datetime(2015, 8, 23, 7, 13, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6869441a-131f-4f46-b0a5-3dbab4b79789', 'job_description': 'Down-sized directional database', 'start_date': datetime.datetime(2015, 3, 16, 19, 25, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 6, 13, 8, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 17, 22, 33, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'adcc5679-3d28-4c9a-b82c-34e5013df71a', 'end_date': datetime.datetime(2015, 3, 12, 2, 29, 57), 'start_time': datetime.datetime(2019, 4, 24, 15, 4, 27), 'rate': 4, 'updated_at': datetime.datetime(2017, 12, 22, 23, 9, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Costa Rica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5aceb54e-3561-4c1f-b285-e90cf0a80766', 'job_description': 'Synergistic optimizing intranet', 'start_date': datetime.datetime(2017, 7, 18, 18, 8, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 28, 22, 59, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 1, 14, 18, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b1d9aec5-4b40-4e42-9136-06cfe806d51a', 'end_date': datetime.datetime(2013, 5, 24, 11, 45, 28), 'start_time': datetime.datetime(2014, 7, 28, 2, 5, 54), 'rate': 4, 'updated_at': datetime.datetime(2017, 10, 21, 2, 1, 32), 'job_title': 'CoffeeMaker', 'service_id': 'United States Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6d467f4a-965a-40ad-8931-3f49d5a2669b', 'job_description': 'Seamless bandwidth-monitored function', 'start_date': datetime.datetime(2013, 6, 28, 9, 20, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 13, 5, 12, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 29, 3, 17, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '49492dcf-3f6b-4331-8fe7-25bd679d16c0', 'end_date': datetime.datetime(2014, 8, 14, 5, 47, 3), 'start_time': datetime.datetime(2015, 6, 4, 1, 44, 37), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 22, 19, 25, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c96c1ff4-0e4c-4c9f-a1a9-37bf15fa298d', 'job_description': 'Integrated 5th generation local area network', 'start_date': datetime.datetime(2012, 10, 10, 19, 47, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 20, 2, 6, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 22, 0, 57, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3511aa7e-5bac-4d25-bfcc-e14a057b17c2', 'end_date': datetime.datetime(2019, 11, 11, 2, 32, 21), 'start_time': datetime.datetime(2010, 2, 14, 17, 55, 6), 'rate': 3, 'updated_at': datetime.datetime(2013, 2, 8, 9, 7, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f5026a30-a8f4-4314-9236-ed6e6defa2c8', 'job_description': 'Re-contextualized needs-based forecast', 'start_date': datetime.datetime(2011, 5, 28, 12, 29, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 18, 16, 37, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 22, 10, 59, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3918312b-a93a-4d6a-a81d-fede983abb4a', 'end_date': datetime.datetime(2013, 8, 2, 4, 27, 23), 'start_time': datetime.datetime(2011, 1, 15, 1, 30, 54), 'rate': 2, 'updated_at': datetime.datetime(2017, 11, 18, 0, 22, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
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{'_id': '5d148c6b-a31b-4f65-9da9-f5069eda016a', 'job_description': 'De-engineered encompassing parallelism', 'start_date': datetime.datetime(2018, 3, 6, 10, 19, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 19, 6, 8, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 27, 22, 48, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '610aa9c2-bec9-4d61-9f1a-4e217825770e', 'end_date': datetime.datetime(2016, 1, 30, 12, 55, 14), 'start_time': datetime.datetime(2016, 9, 1, 18, 35, 2), 'rate': 1, 'updated_at': datetime.datetime(2013, 8, 29, 18, 44, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
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{'_id': 'fac43b08-a8d9-4d76-91dc-f7ab1968edf0', 'job_description': 'Integrated upward-trending protocol', 'start_date': datetime.datetime(2017, 6, 1, 0, 57, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 27, 3, 9, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 22, 21, 41, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7fbab7f2-992f-42d2-9ac8-542360f6f53c', 'end_date': datetime.datetime(2017, 12, 15, 3, 2, 5), 'start_time': datetime.datetime(2016, 1, 21, 11, 49, 12), 'rate': 2, 'updated_at': datetime.datetime(2011, 9, 2, 20, 56, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
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{'_id': '332f02fb-57f2-4f45-8e4c-66f7d3c8c95a', 'job_description': 'Expanded directional circuit', 'start_date': datetime.datetime(2011, 4, 10, 1, 20, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 3, 8, 40, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 8, 8, 4, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5f671e1f-2875-406e-af24-729dccf279a0', 'end_date': datetime.datetime(2014, 4, 27, 14, 25, 45), 'start_time': datetime.datetime(2016, 10, 15, 22, 24, 40), 'rate': 3, 'updated_at': datetime.datetime(2016, 6, 19, 14, 12, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
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{'_id': '1c945f7b-1f7e-43c0-bdff-17218dec4b9c', 'job_description': 'Horizontal optimizing architecture', 'start_date': datetime.datetime(2019, 6, 16, 15, 20, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 21, 9, 21, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 13, 1, 17, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8b850124-289f-4ae7-b77c-e73802649f0c', 'end_date': datetime.datetime(2010, 5, 26, 9, 47, 17), 'start_time': datetime.datetime(2017, 3, 9, 22, 28, 20), 'rate': 4, 'updated_at': datetime.datetime(2011, 6, 11, 20, 29, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
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{'_id': '750c0e98-fcff-48e6-a4fa-9929685fc41b', 'job_description': 'Implemented regional capability', 'start_date': datetime.datetime(2013, 11, 25, 15, 26, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 25, 22, 24, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 20, 9, 58, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '05e6b69a-51d0-411a-a4e7-5c450f27cc49', 'end_date': datetime.datetime(2012, 8, 5, 11, 20, 28), 'start_time': datetime.datetime(2010, 10, 24, 17, 7, 21), 'rate': 1, 'updated_at': datetime.datetime(2011, 2, 24, 1, 51, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
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{'_id': '33213431-4b3f-40f0-a352-f363d7b35ec9', 'job_description': 'Switchable 6th generation synergy', 'start_date': datetime.datetime(2013, 11, 9, 20, 33, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 21, 10, 45, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 31, 18, 12, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '42e45f08-014e-498b-b1dd-84839eda65bc', 'end_date': datetime.datetime(2016, 12, 24, 6, 59, 18), 'start_time': datetime.datetime(2018, 8, 13, 0, 20, 14), 'rate': 2, 'updated_at': datetime.datetime(2014, 3, 4, 8, 17, 38), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
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{'_id': '287fd1d2-a40f-425f-bfba-2542a1f13f0d', 'job_description': 'Implemented intermediate array', 'start_date': datetime.datetime(2016, 10, 31, 1, 31, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 11, 16, 16, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 20, 14, 26, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '953a22e0-0732-4e0c-bdf4-f53aa746e7e6', 'end_date': datetime.datetime(2017, 6, 8, 3, 28, 13), 'start_time': datetime.datetime(2015, 11, 13, 5, 49, 22), 'rate': 3, 'updated_at': datetime.datetime(2011, 4, 16, 7, 29, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
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{'_id': '592fbc4c-f6d2-4a0b-bfc1-3e521a688254', 'job_description': 'Synergistic tangible leverage', 'start_date': datetime.datetime(2014, 11, 26, 3, 44, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 13, 20, 54, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 12, 10, 55, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd723b00e-c92b-4ac3-8d56-f65691dac913', 'end_date': datetime.datetime(2014, 9, 16, 10, 11, 43), 'start_time': datetime.datetime(2014, 3, 10, 10, 30, 44), 'rate': 3, 'updated_at': datetime.datetime(2018, 4, 3, 21, 5, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Sri Lanka', 'special_note': 'thanks'}
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{'_id': 'f783997c-1a33-4ed5-9b41-7f8fb4714339', 'job_description': 'Customer-focused global pricing structure', 'start_date': datetime.datetime(2013, 11, 17, 9, 18, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 25, 17, 35, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 7, 9, 58, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '25753d49-ed1d-4674-abbb-7e628770d3da', 'end_date': datetime.datetime(2016, 2, 29, 2, 20, 10), 'start_time': datetime.datetime(2018, 11, 11, 19, 53, 25), 'rate': 1, 'updated_at': datetime.datetime(2013, 11, 4, 12, 23, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
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{'_id': '86070839-4caa-4056-ab0d-dddd83ae7441', 'job_description': 'Organic background strategy', 'start_date': datetime.datetime(2016, 5, 24, 10, 42, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 28, 17, 8, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 8, 12, 54, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '820051fa-9c52-479b-ba0b-383051b43b80', 'end_date': datetime.datetime(2015, 1, 6, 6, 42, 51), 'start_time': datetime.datetime(2019, 3, 24, 19, 18, 43), 'rate': 4, 'updated_at': datetime.datetime(2016, 8, 15, 21, 47, 28), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '79fe5318-e7d1-4534-a996-b13c1e177698', 'job_description': 'User-friendly bottom-line toolset', 'start_date': datetime.datetime(2012, 8, 1, 12, 29, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 8, 21, 23, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 18, 20, 43, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '88418812-02c0-46fa-8e10-b8fb6f17e940', 'end_date': datetime.datetime(2011, 8, 26, 8, 19, 52), 'start_time': datetime.datetime(2013, 7, 15, 18, 36, 58), 'rate': 3, 'updated_at': datetime.datetime(2019, 12, 1, 1, 2, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
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{'_id': 'd1c295bd-e526-4a83-b745-b07cf478f244', 'job_description': 'Profound disintermediate encoding', 'start_date': datetime.datetime(2015, 3, 28, 7, 42, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 6, 6, 26, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 17, 15, 57, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a32e2d00-d29e-4241-98ba-3463b517b4b7', 'end_date': datetime.datetime(2011, 11, 11, 2, 22, 16), 'start_time': datetime.datetime(2016, 12, 1, 14, 21, 43), 'rate': 2, 'updated_at': datetime.datetime(2011, 6, 18, 8, 29, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
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{'_id': '7ea2d4f3-0bb1-4b6c-935f-3cb07f06d52d', 'job_description': 'Inverse human-resource productivity', 'start_date': datetime.datetime(2018, 6, 9, 4, 24, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 18, 12, 46, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 18, 0, 16, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c404ef19-ca1a-4c5b-b8fd-cbbced0c41fd', 'end_date': datetime.datetime(2014, 11, 24, 23, 43, 35), 'start_time': datetime.datetime(2018, 12, 17, 14, 45, 24), 'rate': 4, 'updated_at': datetime.datetime(2019, 8, 28, 5, 16, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '24f33332-b266-4cd9-a1af-26d609018711', 'job_description': 'Multi-tiered mobile policy', 'start_date': datetime.datetime(2011, 4, 21, 13, 27, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 11, 12, 44, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 19, 3, 34, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8fd61d34-7a6f-48d7-b76d-d04c63379e3d', 'end_date': datetime.datetime(2012, 5, 19, 7, 2, 28), 'start_time': datetime.datetime(2016, 12, 16, 17, 0, 2), 'rate': 1, 'updated_at': datetime.datetime(2017, 5, 22, 0, 47, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
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{'_id': '1ec67843-fe11-4daf-9847-93e708539e43', 'job_description': 'Customer-focused modular array', 'start_date': datetime.datetime(2011, 7, 18, 13, 47, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 20, 9, 51, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 20, 0, 50, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1b994a6a-bc34-426e-a07f-7b96b3183451', 'end_date': datetime.datetime(2014, 11, 13, 3, 9, 7), 'start_time': datetime.datetime(2019, 1, 18, 14, 14, 31), 'rate': 4, 'updated_at': datetime.datetime(2018, 5, 31, 6, 43, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
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{'_id': '53cee1a3-9af2-4374-bab4-f5896ed56d44', 'job_description': 'Digitized web-enabled solution', 'start_date': datetime.datetime(2019, 8, 7, 12, 8, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 21, 4, 4, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 20, 12, 58, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2791331d-5bf1-4fb9-b56e-bc8740202aa0', 'end_date': datetime.datetime(2018, 4, 25, 6, 52, 50), 'start_time': datetime.datetime(2012, 1, 2, 6, 34, 55), 'rate': 1, 'updated_at': datetime.datetime(2011, 5, 28, 10, 44, 40), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
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{'_id': 'afa37426-852d-488a-990a-bfd19e73445f', 'job_description': 'Balanced tangible moderator', 'start_date': datetime.datetime(2010, 10, 19, 13, 59, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 29, 15, 12, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 23, 15, 17, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7ce5f153-e2a0-467e-a500-cf11e846ca15', 'end_date': datetime.datetime(2011, 6, 13, 2, 48, 50), 'start_time': datetime.datetime(2011, 7, 21, 15, 49, 25), 'rate': 5, 'updated_at': datetime.datetime(2012, 8, 18, 18, 2, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
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{'_id': 'f56b309d-a2a5-45d7-bbc5-a13e83ba01c4', 'job_description': 'Grass-roots composite installation', 'start_date': datetime.datetime(2011, 3, 26, 15, 54, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 10, 10, 19, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 21, 9, 5, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7d614b95-f053-42f6-b2b4-7e2c7e231a96', 'end_date': datetime.datetime(2018, 7, 24, 20, 47, 22), 'start_time': datetime.datetime(2011, 2, 15, 11, 32, 33), 'rate': 3, 'updated_at': datetime.datetime(2014, 2, 3, 4, 43, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '439e63ca-15b6-4a14-902d-1b07e445e7e7', 'job_description': 'Intuitive cohesive superstructure', 'start_date': datetime.datetime(2013, 7, 11, 11, 13, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 31, 0, 40, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 23, 10, 42, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b813c51e-05ff-494f-84a7-4cbe415b9d10', 'end_date': datetime.datetime(2015, 5, 29, 9, 14, 49), 'start_time': datetime.datetime(2011, 2, 28, 20, 53, 41), 'rate': 1, 'updated_at': datetime.datetime(2010, 3, 5, 21, 6, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
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{'_id': '2ef3279d-27b0-42b1-a6b9-10628b1b2e48', 'job_description': 'Synergistic clear-thinking neural-net', 'start_date': datetime.datetime(2013, 3, 10, 20, 9, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 28, 12, 41, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 17, 17, 18, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '96197464-ae3f-4d0e-80ff-dccec6328be0', 'end_date': datetime.datetime(2015, 5, 16, 9, 43, 23), 'start_time': datetime.datetime(2016, 1, 6, 14, 28, 10), 'rate': 5, 'updated_at': datetime.datetime(2012, 8, 24, 19, 49, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
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{'_id': '000df93c-107d-4d29-9b3a-04f4112352bf', 'job_description': 'Function-based web-enabled database', 'start_date': datetime.datetime(2014, 5, 25, 12, 12, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 18, 0, 13, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 7, 22, 2, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '398b9b9c-466e-49b7-8d02-790f9ddcbeae', 'end_date': datetime.datetime(2013, 4, 25, 22, 28, 10), 'start_time': datetime.datetime(2014, 1, 8, 8, 49, 46), 'rate': 5, 'updated_at': datetime.datetime(2013, 2, 11, 22, 58, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Trinidad and Tobago', 'special_note': 'thanks'}
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{'_id': '07155c71-6085-4754-b29f-2f8e28f214a7', 'job_description': 'Streamlined full-range alliance', 'start_date': datetime.datetime(2019, 7, 19, 6, 31, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 19, 1, 48, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 11, 22, 43, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a389f37-cb33-4d1b-b0bf-888d1433436d', 'end_date': datetime.datetime(2012, 9, 28, 17, 3, 39), 'start_time': datetime.datetime(2018, 2, 22, 8, 34, 40), 'rate': 4, 'updated_at': datetime.datetime(2014, 11, 11, 11, 39, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
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{'_id': '5ec9986c-afff-4eef-a368-e275645704e5', 'job_description': 'Seamless tertiary definition', 'start_date': datetime.datetime(2017, 6, 5, 16, 14, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 29, 19, 16, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 11, 12, 30, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2ddb3645-b0bc-4005-b8e8-fa0ee51d327b', 'end_date': datetime.datetime(2015, 8, 4, 3, 7, 30), 'start_time': datetime.datetime(2018, 11, 4, 6, 39, 15), 'rate': 3, 'updated_at': datetime.datetime(2017, 7, 5, 2, 59, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
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{'_id': '7b29b79c-acee-4686-a408-fe8f28880710', 'job_description': 'Robust fault-tolerant data-warehouse', 'start_date': datetime.datetime(2014, 2, 4, 21, 5, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 1, 6, 11, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 11, 23, 22, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a25a1766-552b-4319-b456-c0d31d8f83e8', 'end_date': datetime.datetime(2016, 12, 13, 21, 40, 59), 'start_time': datetime.datetime(2017, 3, 16, 13, 59, 41), 'rate': 2, 'updated_at': datetime.datetime(2011, 11, 22, 8, 56, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Rwanda', 'special_note': 'thanks'}
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{'_id': '0b884e0a-bc94-4f09-a8ee-cde4c663c7ba', 'job_description': 'Object-based actuating info-mediaries', 'start_date': datetime.datetime(2017, 7, 9, 11, 19, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 6, 11, 40, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 19, 13, 23, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '010a57a9-2c65-414a-ae70-38944ee3abfa', 'end_date': datetime.datetime(2016, 9, 2, 8, 40, 12), 'start_time': datetime.datetime(2017, 11, 11, 21, 30, 37), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 11, 5, 28, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
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{'_id': 'a696c819-52ed-44e6-8d68-e3099c6886a8', 'job_description': 'Extended systematic Graphic Interface', 'start_date': datetime.datetime(2010, 10, 13, 7, 7, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 3, 17, 19, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 4, 15, 36, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7cca13a6-36cf-4fb3-9cdf-aeed847c166f', 'end_date': datetime.datetime(2012, 6, 12, 15, 57, 22), 'start_time': datetime.datetime(2010, 2, 19, 9, 19, 29), 'rate': 4, 'updated_at': datetime.datetime(2011, 2, 1, 18, 15, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
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{'_id': '5ad7c305-3020-4069-a083-84f2682bc195', 'job_description': 'Reactive background hardware', 'start_date': datetime.datetime(2016, 4, 21, 5, 23, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 2, 9, 53, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 8, 11, 22, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ab276661-a492-4700-b86b-fd4fbcfd55c9', 'end_date': datetime.datetime(2014, 9, 28, 18, 49, 22), 'start_time': datetime.datetime(2019, 6, 20, 18, 38, 6), 'rate': 1, 'updated_at': datetime.datetime(2018, 9, 20, 17, 35, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
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{'_id': '3059f387-4cb0-4175-bc5a-535ac2b84751', 'job_description': 'Fully-configurable transitional capacity', 'start_date': datetime.datetime(2013, 2, 2, 14, 3, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 27, 7, 14, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 29, 16, 20, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1c731643-195b-402c-a693-c20ee8dfccf5', 'end_date': datetime.datetime(2015, 3, 24, 16, 18, 12), 'start_time': datetime.datetime(2014, 6, 29, 4, 42, 38), 'rate': 4, 'updated_at': datetime.datetime(2010, 1, 25, 1, 45, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
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{'_id': '43672dfc-9400-4397-9ac4-545d0749bbd5', 'job_description': 'Grass-roots systematic protocol', 'start_date': datetime.datetime(2019, 5, 8, 2, 31, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 10, 17, 46, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 6, 1, 11, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '73232d4c-2a85-4ce6-816c-c82fad282b91', 'end_date': datetime.datetime(2018, 1, 9, 21, 36, 29), 'start_time': datetime.datetime(2019, 4, 19, 20, 21, 16), 'rate': 3, 'updated_at': datetime.datetime(2019, 8, 9, 16, 29, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': '430ac70d-f972-4683-a44f-17c69ac876fe', 'job_description': 'Multi-layered stable circuit', 'start_date': datetime.datetime(2017, 5, 19, 21, 32, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 15, 3, 46, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 13, 21, 40, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5bbc050-65b9-4c0a-ab8f-ffb31d38928d', 'end_date': datetime.datetime(2010, 12, 16, 20, 39, 7), 'start_time': datetime.datetime(2012, 4, 23, 16, 34, 17), 'rate': 4, 'updated_at': datetime.datetime(2019, 5, 2, 11, 19, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
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{'_id': 'd4375365-b9ee-4cce-891e-e7aa01437fc0', 'job_description': 'Horizontal 24/7 help-desk', 'start_date': datetime.datetime(2013, 2, 10, 8, 59, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 1, 6, 10, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 26, 7, 27, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '594a1e27-8c8e-4a72-9746-5565e78b93c6', 'end_date': datetime.datetime(2017, 1, 14, 7, 44, 1), 'start_time': datetime.datetime(2016, 8, 12, 11, 33, 11), 'rate': 5, 'updated_at': datetime.datetime(2010, 5, 24, 16, 42, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '531d09bd-d2e9-4db6-8e71-2372d1332487', 'job_description': 'Innovative optimal moratorium', 'start_date': datetime.datetime(2014, 3, 2, 3, 47, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 7, 3, 39, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 20, 3, 35, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9d2d5f17-a257-47d2-b92a-da8ef633d62e', 'end_date': datetime.datetime(2013, 8, 16, 3, 10, 32), 'start_time': datetime.datetime(2015, 2, 14, 1, 59, 24), 'rate': 4, 'updated_at': datetime.datetime(2012, 2, 25, 10, 51, 32), 'job_title': 'CoffeeMaker', 'service_id': 'United States Minor Outlying Islands', 'special_note': 'thanks'}
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{'_id': '10f283a3-8315-41f6-bdf1-a630a548a9bf', 'job_description': 'Universal multi-tasking database', 'start_date': datetime.datetime(2010, 10, 25, 11, 29, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 26, 0, 29, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 20, 22, 3, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '321d6399-0868-4495-bf23-17038262a475', 'end_date': datetime.datetime(2016, 8, 31, 9, 26, 38), 'start_time': datetime.datetime(2012, 4, 19, 10, 54, 57), 'rate': 5, 'updated_at': datetime.datetime(2012, 6, 8, 5, 33, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
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{'_id': 'bb289abd-01f9-4acd-b37c-fe3a64ccd169', 'job_description': 'Team-oriented holistic customer loyalty', 'start_date': datetime.datetime(2015, 6, 19, 18, 30, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 25, 11, 37, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 13, 21, 24, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6f29f71c-0e48-49e1-9365-bf54bce64bf9', 'end_date': datetime.datetime(2011, 6, 30, 13, 49, 28), 'start_time': datetime.datetime(2012, 12, 21, 16, 39, 22), 'rate': 3, 'updated_at': datetime.datetime(2015, 10, 4, 18, 16, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Aruba', 'special_note': 'thanks'}
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{'_id': '918bad6f-41c5-4bbc-a2fa-93ed03271558', 'job_description': 'Reactive real-time complexity', 'start_date': datetime.datetime(2013, 6, 30, 9, 28, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 21, 21, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 19, 1, 27, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b3d1da42-fa62-431e-89d8-c079799395ae', 'end_date': datetime.datetime(2010, 9, 19, 0, 26, 11), 'start_time': datetime.datetime(2018, 6, 17, 1, 9, 47), 'rate': 5, 'updated_at': datetime.datetime(2017, 5, 16, 12, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6180b42c-7c5b-413c-8bc5-61b64a36e1d5', 'job_description': 'Centralized fault-tolerant hub', 'start_date': datetime.datetime(2012, 10, 22, 11, 45, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 2, 5, 57, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 4, 12, 7, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f1ce5073-a2c5-4bec-8628-c9f5a241ab1f', 'end_date': datetime.datetime(2011, 11, 4, 0, 26, 5), 'start_time': datetime.datetime(2014, 4, 23, 6, 47, 1), 'rate': 4, 'updated_at': datetime.datetime(2017, 5, 4, 14, 38, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd87022f7-5778-488a-910c-221fb688663b', 'job_description': 'Vision-oriented context-sensitive capability', 'start_date': datetime.datetime(2015, 10, 5, 11, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 12, 19, 6, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 17, 18, 27, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd830fd2e-23ef-490e-85f9-311425a4f990', 'end_date': datetime.datetime(2013, 7, 29, 10, 27, 49), 'start_time': datetime.datetime(2016, 8, 12, 5, 17, 45), 'rate': 5, 'updated_at': datetime.datetime(2013, 1, 16, 16, 51, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0117e7b1-38b0-4193-ac62-aad7f07d4c0f', 'job_description': 'Seamless 3rd generation circuit', 'start_date': datetime.datetime(2018, 5, 28, 16, 22, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 25, 18, 48, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 13, 12, 55, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ab1706b4-685a-4bf9-a04c-32bd6c20c780', 'end_date': datetime.datetime(2012, 10, 20, 18, 46), 'start_time': datetime.datetime(2016, 12, 23, 5, 3, 27), 'rate': 3, 'updated_at': datetime.datetime(2010, 7, 17, 14, 45, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '776e247d-72dc-43df-b16f-84c934b7c7b5', 'job_description': 'Innovative explicit array', 'start_date': datetime.datetime(2014, 9, 18, 0, 49, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 10, 23, 17, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 19, 1, 26, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0cb46e22-c764-42e5-ab49-a0bab1a983ad', 'end_date': datetime.datetime(2013, 12, 26, 17, 59, 27), 'start_time': datetime.datetime(2010, 6, 4, 1, 46, 11), 'rate': 4, 'updated_at': datetime.datetime(2019, 9, 21, 0, 54, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '100a672c-257f-4677-b973-3c880b0fbc56', 'job_description': 'Secured zero tolerance installation', 'start_date': datetime.datetime(2014, 11, 3, 17, 17, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 4, 0, 46, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 24, 7, 59, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '068cf0e4-e1e2-402e-b59b-e7b94a6ff7a6', 'end_date': datetime.datetime(2019, 8, 25, 1, 33, 18), 'start_time': datetime.datetime(2014, 2, 13, 21, 0, 19), 'rate': 3, 'updated_at': datetime.datetime(2018, 7, 6, 8, 29, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8f1e17ad-04a0-46b2-90a4-0a79b2b708fe', 'job_description': 'Synergized maximized attitude', 'start_date': datetime.datetime(2018, 2, 18, 3, 4, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 4, 1, 11, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 23, 2, 59, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ddbde352-653e-4dbb-a6bd-c84bbf168382', 'end_date': datetime.datetime(2010, 1, 13, 6, 26, 53), 'start_time': datetime.datetime(2013, 7, 31, 19, 25, 37), 'rate': 2, 'updated_at': datetime.datetime(2019, 8, 5, 9, 22, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Ukraine', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '843d3630-a50b-47bf-b363-79d58d65a741', 'job_description': 'Expanded intangible knowledge user', 'start_date': datetime.datetime(2016, 9, 6, 1, 20, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 6, 17, 42, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 4, 19, 58, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b484e071-29c9-40e4-ac11-8ad43c2b15da', 'end_date': datetime.datetime(2017, 3, 2, 21, 39, 14), 'start_time': datetime.datetime(2014, 1, 7, 21, 34, 38), 'rate': 2, 'updated_at': datetime.datetime(2011, 7, 26, 11, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '935f2191-d418-4b9c-a76e-dad82d70fcc7', 'job_description': 'Adaptive grid-enabled moratorium', 'start_date': datetime.datetime(2015, 3, 11, 17, 17, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 23, 3, 16, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 25, 12, 30, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cb757542-57dd-44f1-82a1-c13bfbdb97f0', 'end_date': datetime.datetime(2018, 10, 18, 8, 30, 47), 'start_time': datetime.datetime(2012, 3, 24, 2, 6, 38), 'rate': 5, 'updated_at': datetime.datetime(2016, 11, 16, 17, 48, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7ac68ccb-1302-4bf7-adf7-19c6c080e223', 'job_description': 'Integrated mobile interface', 'start_date': datetime.datetime(2011, 12, 8, 3, 12, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 1, 18, 12, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 4, 14, 19, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '640697ec-ea57-4eaf-b7a0-1a76f2810d0c', 'end_date': datetime.datetime(2019, 5, 11, 6, 59, 39), 'start_time': datetime.datetime(2017, 3, 19, 21, 59, 1), 'rate': 1, 'updated_at': datetime.datetime(2015, 5, 3, 8, 6, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'afc52a0e-345a-467f-870f-8e67ca66e482', 'job_description': 'Enterprise-wide 5th generation circuit', 'start_date': datetime.datetime(2011, 5, 2, 5, 46, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 19, 22, 11, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 29, 0, 56, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e1fb15a2-7351-4249-923d-1a1360632fae', 'end_date': datetime.datetime(2014, 7, 7, 16, 55, 33), 'start_time': datetime.datetime(2011, 2, 9, 21, 25, 17), 'rate': 2, 'updated_at': datetime.datetime(2013, 12, 25, 11, 38, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b365592c-55cd-4c8b-9519-5bc3ec20503d', 'job_description': 'Implemented full-range help-desk', 'start_date': datetime.datetime(2012, 11, 18, 23, 7, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 14, 8, 12, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 12, 11, 0, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc984134-b10f-47b2-bfde-1383707a4840', 'end_date': datetime.datetime(2018, 8, 24, 21, 39, 9), 'start_time': datetime.datetime(2015, 7, 16, 8, 37, 22), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 7, 14, 0, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '457b2713-6662-4679-beac-36a792a0bc52', 'job_description': 'Fundamental demand-driven secured line', 'start_date': datetime.datetime(2019, 10, 25, 21, 51, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 12, 13, 19, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 29, 22, 18, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1ab486de-647f-480c-9af7-49bb732f6f05', 'end_date': datetime.datetime(2017, 3, 14, 16, 59, 22), 'start_time': datetime.datetime(2016, 12, 24, 15, 33, 7), 'rate': 4, 'updated_at': datetime.datetime(2015, 10, 14, 5, 33, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a0b7b134-bfe7-4eab-b3c0-b33b482f6472', 'job_description': 'Ameliorated solution-oriented budgetary management', 'start_date': datetime.datetime(2017, 6, 8, 16, 12, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 4, 0, 33, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 24, 6, 22, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '53a1aa19-5f6f-4e55-b6c1-5450c30a8b64', 'end_date': datetime.datetime(2019, 3, 9, 3, 19, 9), 'start_time': datetime.datetime(2015, 3, 6, 3, 32, 50), 'rate': 3, 'updated_at': datetime.datetime(2019, 9, 20, 17, 23, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e1c65d5f-0ea4-404b-a9b4-376ccf6710f7', 'job_description': 'Switchable analyzing flexibility', 'start_date': datetime.datetime(2011, 6, 17, 0, 31, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 9, 12, 7, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 24, 11, 19, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9f965f12-e6d6-4c95-8010-6d768ca8b4fc', 'end_date': datetime.datetime(2014, 12, 7, 9, 47, 12), 'start_time': datetime.datetime(2017, 12, 20, 8, 55, 37), 'rate': 2, 'updated_at': datetime.datetime(2018, 7, 6, 4, 24, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Cook Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35b812c9-ea49-4a4b-820a-f927bd399d85', 'job_description': 'Networked disintermediate intranet', 'start_date': datetime.datetime(2012, 1, 27, 7, 44, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 29, 11, 49, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 14, 7, 44, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '604892f2-67c0-451c-ae88-9b3a73af908e', 'end_date': datetime.datetime(2011, 8, 19, 11, 21, 17), 'start_time': datetime.datetime(2011, 6, 15, 0, 19, 32), 'rate': 1, 'updated_at': datetime.datetime(2016, 3, 1, 18, 22, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cd216cf4-8779-4cb9-ab90-62c12a4e0fa2', 'job_description': 'Multi-lateral bi-directional installation', 'start_date': datetime.datetime(2016, 9, 11, 22, 19, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 8, 23, 49, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 5, 8, 48, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '89fa1303-1b64-45bc-8c95-49ccf4955ffe', 'end_date': datetime.datetime(2012, 4, 2, 10, 4, 24), 'start_time': datetime.datetime(2019, 7, 18, 21, 42, 15), 'rate': 2, 'updated_at': datetime.datetime(2011, 12, 11, 16, 49, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '248cecf3-83b3-437b-a0d4-f5d229ea0d09', 'job_description': 'Front-line clear-thinking website', 'start_date': datetime.datetime(2011, 7, 28, 2, 9, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 21, 23, 44, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 1, 11, 49, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc7a06e7-04a8-4b32-9fb3-ab1ef104b8ba', 'end_date': datetime.datetime(2013, 2, 5, 6, 7, 25), 'start_time': datetime.datetime(2010, 9, 2, 20, 20, 46), 'rate': 1, 'updated_at': datetime.datetime(2017, 7, 17, 15, 37, 19), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e205afd1-8904-4ef7-a3a7-90b3a0301c65', 'job_description': 'Profit-focused interactive productivity', 'start_date': datetime.datetime(2014, 8, 4, 6, 19, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 23, 11, 1, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 27, 13, 46, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aefc7279-2e8b-46a8-b26d-d4b5403b87fc', 'end_date': datetime.datetime(2015, 5, 2, 3, 31, 56), 'start_time': datetime.datetime(2017, 4, 19, 12, 10, 35), 'rate': 2, 'updated_at': datetime.datetime(2017, 7, 14, 10, 51, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5af6811c-c05d-43bf-ab93-484ac17d751a', 'job_description': 'Pre-emptive systemic frame', 'start_date': datetime.datetime(2010, 2, 12, 0, 31, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 26, 13, 0, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 23, 1, 57, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fd629b04-f660-4a6c-a870-833c045ad92f', 'end_date': datetime.datetime(2017, 12, 15, 15, 46, 10), 'start_time': datetime.datetime(2014, 4, 2, 2, 38, 10), 'rate': 2, 'updated_at': datetime.datetime(2014, 2, 7, 22, 48, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '65c38a01-5294-4ada-af7c-064cc2eb15a9', 'job_description': 'Down-sized high-level moratorium', 'start_date': datetime.datetime(2011, 1, 16, 9, 38, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 1, 23, 15, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 20, 17, 7, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c4c400bb-f286-4577-9e1f-9fa2ca118f5c', 'end_date': datetime.datetime(2011, 7, 3, 12, 21, 58), 'start_time': datetime.datetime(2018, 8, 29, 8, 8, 31), 'rate': 1, 'updated_at': datetime.datetime(2015, 2, 12, 1, 53, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ba02be87-ee86-4549-8f12-b75cf293d8ff', 'job_description': 'Reverse-engineered leading edge algorithm', 'start_date': datetime.datetime(2018, 12, 4, 22, 8, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 30, 12, 45, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 6, 14, 28, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f1b6d7c1-6b51-4b6b-92a6-50af3e68b418', 'end_date': datetime.datetime(2016, 3, 17, 13, 57, 28), 'start_time': datetime.datetime(2012, 8, 22, 16, 8, 8), 'rate': 2, 'updated_at': datetime.datetime(2016, 11, 6, 0, 49, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '083ecdc7-c11d-435a-8cef-a6b06a979b04', 'job_description': 'Progressive multimedia challenge', 'start_date': datetime.datetime(2012, 9, 30, 23, 0, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 12, 9, 10, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 1, 4, 17, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4f4ebc5d-d5a3-40a6-9d8a-e970045d2ced', 'end_date': datetime.datetime(2012, 10, 10, 3, 59, 5), 'start_time': datetime.datetime(2015, 12, 3, 10, 12, 28), 'rate': 2, 'updated_at': datetime.datetime(2017, 8, 2, 21, 29, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3675a0c2-d717-43a8-a3e7-4a3903e349d2', 'job_description': 'Innovative contextually-based model', 'start_date': datetime.datetime(2014, 10, 27, 8, 6, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 29, 20, 34, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 6, 13, 36, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3b55b724-4837-48ff-b4de-9c2ed7e50443', 'end_date': datetime.datetime(2010, 1, 29, 14, 20, 20), 'start_time': datetime.datetime(2015, 2, 24, 8, 32, 51), 'rate': 4, 'updated_at': datetime.datetime(2016, 9, 10, 13, 2, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f2c932bd-20e9-4537-b53f-89aa7de9b60f', 'job_description': 'Self-enabling exuding Graphical User Interface', 'start_date': datetime.datetime(2016, 11, 22, 16, 55, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 10, 15, 15, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 4, 4, 38, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ba1300bf-0d3d-4ad0-8604-eba947a286b1', 'end_date': datetime.datetime(2011, 12, 21, 21, 49, 44), 'start_time': datetime.datetime(2018, 9, 18, 10, 39, 42), 'rate': 4, 'updated_at': datetime.datetime(2011, 11, 5, 2, 42, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Bahamas', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'efd18fdc-30f2-4007-ab8b-325fd9675ba7', 'job_description': 'Configurable optimizing process improvement', 'start_date': datetime.datetime(2016, 7, 21, 11, 25, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 5, 23, 40, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 23, 4, 2, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a3ee6c9-49fd-41bb-b92c-a387c39fc63a', 'end_date': datetime.datetime(2016, 9, 14, 1, 12, 46), 'start_time': datetime.datetime(2018, 2, 27, 1, 56, 33), 'rate': 3, 'updated_at': datetime.datetime(2014, 8, 3, 12, 22, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Palestinian Territory', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '444ec4d2-0d7d-4a34-b2ed-d75754764aca', 'job_description': 'Organic web-enabled function', 'start_date': datetime.datetime(2016, 9, 3, 20, 38, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 7, 1, 31, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 7, 16, 54, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9918530f-398d-4090-a0bd-f15f665e28e7', 'end_date': datetime.datetime(2016, 8, 13, 4, 10, 5), 'start_time': datetime.datetime(2013, 4, 6, 15, 30, 21), 'rate': 1, 'updated_at': datetime.datetime(2019, 4, 9, 6, 28, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Cambodia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6764e20e-3e02-4055-854a-f7df27008744', 'job_description': 'Proactive leading edge workforce', 'start_date': datetime.datetime(2016, 7, 1, 7, 20, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 15, 11, 31, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 20, 3, 27, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2585cc7d-e71c-4111-9f47-933b71b12a43', 'end_date': datetime.datetime(2013, 11, 2, 13, 17, 2), 'start_time': datetime.datetime(2010, 8, 14, 0, 52, 19), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 11, 20, 48, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Eritrea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '959c0406-756e-431f-889f-7a07a56af3bc', 'job_description': 'Automated maximized paradigm', 'start_date': datetime.datetime(2012, 2, 6, 9, 53, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 25, 17, 35, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 22, 12, 17, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '00c5d146-d828-486e-b459-fd9c6e0ea73c', 'end_date': datetime.datetime(2017, 1, 16, 5, 53, 27), 'start_time': datetime.datetime(2015, 2, 15, 3, 2, 13), 'rate': 3, 'updated_at': datetime.datetime(2017, 5, 31, 8, 0, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Bosnia and Herzegovina', 'special_note': 'thanks'}
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{'_id': 'b6cefc86-e939-4fd4-b3b7-bb16f1289b8a', 'job_description': 'Enhanced assymetric structure', 'start_date': datetime.datetime(2012, 9, 26, 4, 25, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 23, 4, 18, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 10, 22, 38, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2428c977-29a5-47d9-ac42-bd1d4eacd801', 'end_date': datetime.datetime(2013, 3, 4, 9, 49, 51), 'start_time': datetime.datetime(2015, 12, 17, 23, 11, 9), 'rate': 2, 'updated_at': datetime.datetime(2018, 11, 28, 22, 24, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
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{'_id': 'baa9a616-8c1b-4278-946d-0971acde60eb', 'job_description': 'Upgradable analyzing concept', 'start_date': datetime.datetime(2012, 5, 25, 1, 14, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 3, 9, 52, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 21, 7, 59, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af118416-9e1b-4ced-9637-6b78e4a94016', 'end_date': datetime.datetime(2018, 10, 27, 7, 10, 42), 'start_time': datetime.datetime(2010, 11, 2, 3, 7, 10), 'rate': 3, 'updated_at': datetime.datetime(2011, 10, 16, 15, 15, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
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{'_id': 'd58f3a29-7b8c-4920-bb89-50944738231b', 'job_description': 'Profound maximized focus group', 'start_date': datetime.datetime(2018, 6, 29, 10, 53, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 25, 1, 35, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 6, 8, 56, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3b8db195-20aa-44f9-b0b4-43833db3170b', 'end_date': datetime.datetime(2018, 6, 15, 15, 50, 25), 'start_time': datetime.datetime(2012, 12, 14, 18, 18, 39), 'rate': 3, 'updated_at': datetime.datetime(2012, 8, 2, 5, 31, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
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{'_id': '814ae0f4-bd57-40c2-8aee-0189809807c7', 'job_description': 'Organized fault-tolerant orchestration', 'start_date': datetime.datetime(2018, 6, 29, 15, 25, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 20, 14, 23, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 5, 1, 56, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '617f10dc-9b90-4413-854f-3d2cdcf448ee', 'end_date': datetime.datetime(2017, 2, 4, 4, 11, 40), 'start_time': datetime.datetime(2019, 7, 9, 14, 56, 8), 'rate': 4, 'updated_at': datetime.datetime(2014, 4, 20, 21, 3, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
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{'_id': '294cc3a4-760e-46ab-a4d1-e575ee92746e', 'job_description': 'Phased regional migration', 'start_date': datetime.datetime(2017, 12, 22, 8, 18, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 25, 0, 52, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 24, 3, 10, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fd8f160e-4659-4914-a309-7de9f396e9dc', 'end_date': datetime.datetime(2010, 4, 12, 19, 4, 50), 'start_time': datetime.datetime(2019, 10, 9, 4, 47, 50), 'rate': 3, 'updated_at': datetime.datetime(2016, 7, 5, 1, 25, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
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{'_id': 'd176bf5c-728a-4e32-9c80-ca6985d0e0b5', 'job_description': 'Configurable secondary emulation', 'start_date': datetime.datetime(2015, 12, 9, 18, 3, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 24, 0, 45, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 5, 3, 8, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d4e118f-a622-4581-a072-6cc243c8ad44', 'end_date': datetime.datetime(2019, 1, 14, 18, 33, 31), 'start_time': datetime.datetime(2017, 3, 2, 12, 14, 43), 'rate': 1, 'updated_at': datetime.datetime(2014, 5, 25, 12, 16, 41), 'job_title': 'CoffeeMaker', 'service_id': 'British Indian Ocean Territory (Chagos Archipelago)', 'special_note': 'thanks'}
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{'_id': '9a5492ab-a75d-49e3-be65-6d713ba272c6', 'job_description': 'Total impactful installation', 'start_date': datetime.datetime(2018, 5, 3, 22, 17, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 26, 20, 5, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 9, 7, 11, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bfd3cd39-7d9b-49ed-aa2c-fc3bbf49e8c1', 'end_date': datetime.datetime(2019, 3, 19, 13, 43, 56), 'start_time': datetime.datetime(2011, 8, 19, 13, 15, 17), 'rate': 2, 'updated_at': datetime.datetime(2016, 2, 23, 7, 42, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Tokelau', 'special_note': 'thanks'}
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{'_id': '2e320359-5dc1-4eb9-9c0d-aea67c4b0e53', 'job_description': 'Profit-focused local productivity', 'start_date': datetime.datetime(2011, 2, 21, 14, 49, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 22, 7, 58, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 12, 16, 32, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '19da4f38-d6fb-430e-8dd8-56cae79afeb0', 'end_date': datetime.datetime(2017, 5, 20, 1, 52, 5), 'start_time': datetime.datetime(2018, 9, 13, 22, 59, 10), 'rate': 5, 'updated_at': datetime.datetime(2017, 6, 11, 21, 26, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
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{'_id': '0704501e-471e-4440-916b-c0ab78c7fa6c', 'job_description': 'Synergized upward-trending data-warehouse', 'start_date': datetime.datetime(2011, 1, 24, 1, 50, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 20, 22, 11, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 9, 8, 51, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '54a95995-803a-4b5a-84a4-0d456d096daa', 'end_date': datetime.datetime(2016, 12, 8, 2, 57, 9), 'start_time': datetime.datetime(2010, 5, 21, 14, 34, 12), 'rate': 3, 'updated_at': datetime.datetime(2012, 12, 8, 14, 27, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
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{'_id': '1b39496d-78ea-4171-ac83-ae2ebb2aa42f', 'job_description': 'Seamless 5th generation circuit', 'start_date': datetime.datetime(2018, 6, 29, 14, 52, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 1, 5, 24, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 30, 18, 28, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6132b00b-675b-492c-af65-91cf10da2f5d', 'end_date': datetime.datetime(2015, 12, 20, 10, 36, 34), 'start_time': datetime.datetime(2014, 10, 7, 22, 22, 47), 'rate': 4, 'updated_at': datetime.datetime(2011, 11, 22, 23, 50, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
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{'_id': '0190de80-3b4a-4c8b-b210-61cd25ac67a7', 'job_description': 'Face to face 5th generation knowledge user', 'start_date': datetime.datetime(2014, 8, 5, 14, 19, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 27, 23, 31, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 16, 22, 8, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '79d55d36-4b94-471c-b849-38297745773f', 'end_date': datetime.datetime(2015, 11, 30, 10, 55, 55), 'start_time': datetime.datetime(2011, 10, 25, 12, 26, 4), 'rate': 3, 'updated_at': datetime.datetime(2015, 1, 7, 12, 26, 46), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
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{'_id': '61fd5b93-4dc6-4ff2-87c9-cc7d20f8b686', 'job_description': 'Progressive contextually-based hub', 'start_date': datetime.datetime(2019, 2, 2, 22, 6, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 7, 20, 28, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 28, 5, 1, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8c77242c-ed11-4dbd-9b9d-50ff5684e32b', 'end_date': datetime.datetime(2014, 3, 20, 17, 15, 44), 'start_time': datetime.datetime(2016, 2, 9, 23, 28, 3), 'rate': 4, 'updated_at': datetime.datetime(2010, 5, 11, 0, 1, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
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{'_id': '8123e1e1-61f8-4163-8269-0abd45c19194', 'job_description': 'Visionary 6th generation intranet', 'start_date': datetime.datetime(2012, 9, 1, 23, 58, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 25, 8, 57, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 6, 19, 6, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7f97fe64-e8a7-42c4-98b1-bcf66aa1942e', 'end_date': datetime.datetime(2010, 10, 29, 12, 27, 3), 'start_time': datetime.datetime(2013, 10, 4, 8, 17, 16), 'rate': 5, 'updated_at': datetime.datetime(2015, 12, 2, 4, 52, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
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{'_id': 'b2123014-9d2b-44fb-ba1d-ca54b8141e86', 'job_description': 'Extended bifurcated service-desk', 'start_date': datetime.datetime(2011, 10, 10, 15, 46, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 16, 18, 49, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 17, 12, 34, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '52edef46-ecfa-4434-bdfd-d92e39f03b17', 'end_date': datetime.datetime(2012, 10, 19, 1, 16, 33), 'start_time': datetime.datetime(2011, 12, 7, 0, 42, 50), 'rate': 5, 'updated_at': datetime.datetime(2018, 8, 22, 10, 27, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
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{'_id': '2c96bec3-9334-4814-a7cb-ca807be8e955', 'job_description': 'Multi-lateral systematic benchmark', 'start_date': datetime.datetime(2014, 3, 10, 4, 24, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 1, 3, 1, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 27, 14, 8, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5fef11d-cc71-433e-be93-77f3bfeabda1', 'end_date': datetime.datetime(2014, 1, 16, 9, 43, 10), 'start_time': datetime.datetime(2011, 3, 9, 18, 39, 51), 'rate': 2, 'updated_at': datetime.datetime(2012, 8, 15, 22, 28, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
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{'_id': '02d7c05a-9124-4c23-9d14-a50a7c71af02', 'job_description': 'Innovative contextually-based solution', 'start_date': datetime.datetime(2012, 9, 12, 12, 39, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 17, 6, 10, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 9, 14, 3, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7f4aa86e-158f-45fd-973a-d35e5e651939', 'end_date': datetime.datetime(2014, 3, 29, 10, 19, 12), 'start_time': datetime.datetime(2012, 3, 26, 17, 55, 55), 'rate': 1, 'updated_at': datetime.datetime(2015, 7, 1, 13, 7, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
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{'_id': 'ea57c6b7-7d87-4b0e-b7b5-7796c6c8d2c0', 'job_description': 'Configurable 3rd generation architecture', 'start_date': datetime.datetime(2013, 1, 28, 21, 53, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 22, 11, 43, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 7, 18, 7, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '311bdf8d-f821-44d6-b92e-d84ff03c57ba', 'end_date': datetime.datetime(2019, 8, 3, 6, 15, 44), 'start_time': datetime.datetime(2018, 1, 15, 2, 3, 36), 'rate': 3, 'updated_at': datetime.datetime(2017, 4, 6, 14, 48, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': '97522358-2047-4f99-993b-1a9937a0e80c', 'job_description': 'Persevering eco-centric knowledge user', 'start_date': datetime.datetime(2017, 6, 2, 15, 25, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 18, 18, 54, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 2, 17, 49, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '02a95f19-5c4f-4a0b-ab88-ed2c69298efb', 'end_date': datetime.datetime(2010, 6, 8, 22, 47, 27), 'start_time': datetime.datetime(2013, 1, 26, 13, 37, 46), 'rate': 3, 'updated_at': datetime.datetime(2014, 1, 2, 23, 0, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
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{'_id': 'b2fe679a-42d5-4afe-824a-c5253889dadb', 'job_description': 'Synergized 24 hour archive', 'start_date': datetime.datetime(2013, 5, 13, 21, 45, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 8, 4, 24, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 20, 3, 21, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '21a25178-1550-4667-9e7f-c77eeff80b2d', 'end_date': datetime.datetime(2012, 6, 17, 17, 12, 2), 'start_time': datetime.datetime(2016, 1, 31, 21, 25, 23), 'rate': 1, 'updated_at': datetime.datetime(2017, 3, 17, 16, 14, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Benin', 'special_note': 'thanks'}
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{'_id': '9497a9e9-55e1-4587-92a3-4ba494610b5c', 'job_description': 'Fundamental non-volatile Graphical User Interface', 'start_date': datetime.datetime(2012, 5, 24, 16, 14, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 26, 10, 34, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 6, 10, 34, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'de3931fe-efab-4641-b277-c159b9d034a2', 'end_date': datetime.datetime(2011, 12, 4, 10, 4, 1), 'start_time': datetime.datetime(2010, 12, 24, 5, 26, 4), 'rate': 4, 'updated_at': datetime.datetime(2018, 10, 15, 20, 17, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
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{'_id': '8aa96c73-0665-45fc-b82d-e3fdcf259126', 'job_description': 'Sharable zero tolerance encryption', 'start_date': datetime.datetime(2010, 1, 21, 2, 13, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 5, 6, 53, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 14, 7, 59, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f1a1cf30-ae76-4cad-954a-089ea62fa321', 'end_date': datetime.datetime(2014, 11, 25, 14, 36, 24), 'start_time': datetime.datetime(2013, 6, 5, 7, 24, 12), 'rate': 5, 'updated_at': datetime.datetime(2019, 2, 8, 23, 17, 18), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
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{'_id': '4a1ef3ab-31a5-4c8d-af59-ac3363f33713', 'job_description': 'Stand-alone tangible flexibility', 'start_date': datetime.datetime(2012, 11, 21, 2, 45, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 5, 7, 23, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 23, 5, 36, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '14347502-fff6-4d98-92d4-c3b0a78427a2', 'end_date': datetime.datetime(2018, 9, 4, 11, 55, 53), 'start_time': datetime.datetime(2011, 4, 6, 7, 43, 57), 'rate': 5, 'updated_at': datetime.datetime(2010, 4, 21, 11, 32, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
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{'_id': '1aaaba84-b253-48d7-8293-d38d19a5f4ea', 'job_description': 'De-engineered client-server implementation', 'start_date': datetime.datetime(2018, 4, 25, 16, 28, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 22, 16, 4, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 15, 22, 46, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57bddb56-098e-444b-b065-437074bc1871', 'end_date': datetime.datetime(2017, 11, 1, 23, 52, 26), 'start_time': datetime.datetime(2013, 1, 13, 5, 31, 43), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 24, 21, 32, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
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{'_id': '91a0852c-003e-47c8-9efe-e52549e7d257', 'job_description': 'Reactive web-enabled portal', 'start_date': datetime.datetime(2016, 2, 20, 11, 42, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 19, 9, 4, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 11, 13, 22, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6437182d-2547-43d2-ab46-ab46de14274e', 'end_date': datetime.datetime(2010, 11, 20, 11, 30, 40), 'start_time': datetime.datetime(2018, 7, 7, 17, 45), 'rate': 1, 'updated_at': datetime.datetime(2013, 3, 30, 12, 12, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
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{'_id': 'b7335f70-0524-4ca0-9bf7-d2c1a2264f4c', 'job_description': 'Team-oriented radical firmware', 'start_date': datetime.datetime(2018, 7, 23, 19, 39, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 19, 1, 15, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 7, 18, 21, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3060b952-a674-4868-a0d6-584a5135baa5', 'end_date': datetime.datetime(2017, 3, 2, 8, 0, 41), 'start_time': datetime.datetime(2017, 12, 21, 8, 57, 7), 'rate': 5, 'updated_at': datetime.datetime(2010, 10, 10, 6, 50, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Pakistan', 'special_note': 'thanks'}
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{'_id': '8ce21b82-be6a-4646-a24a-6df7aaf250e4', 'job_description': 'Configurable maximized algorithm', 'start_date': datetime.datetime(2012, 12, 17, 21, 49, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 20, 12, 46, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 19, 8, 50, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c6efe09-a61b-4159-949b-13e4352cedcf', 'end_date': datetime.datetime(2014, 7, 17, 1, 44, 2), 'start_time': datetime.datetime(2014, 7, 9, 3, 22, 45), 'rate': 2, 'updated_at': datetime.datetime(2012, 9, 12, 2, 29, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
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{'_id': 'f61f7ba9-93c6-4bfc-a8b6-62e2c777300d', 'job_description': 'Multi-channelled user-facing data-warehouse', 'start_date': datetime.datetime(2018, 10, 11, 9, 42, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 1, 8, 48, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 3, 21, 33, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '98e82fa2-5209-42d6-9744-e5c09f05f965', 'end_date': datetime.datetime(2011, 10, 31, 9, 58, 24), 'start_time': datetime.datetime(2018, 8, 3, 15, 16, 43), 'rate': 4, 'updated_at': datetime.datetime(2014, 12, 31, 6, 55, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
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{'_id': 'ce0e3776-0955-491d-92be-fb06e98c3ac5', 'job_description': 'Function-based bottom-line hub', 'start_date': datetime.datetime(2018, 9, 1, 18, 15, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 11, 17, 50, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 13, 8, 49, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ceb2bb10-d776-4e80-a8a5-960e56e9da58', 'end_date': datetime.datetime(2012, 1, 31, 20, 6, 39), 'start_time': datetime.datetime(2017, 10, 17, 0, 12, 3), 'rate': 5, 'updated_at': datetime.datetime(2015, 10, 10, 14, 10, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '09b9e428-8b3c-4bde-9e9f-ae567821fa26', 'job_description': 'Decentralized user-facing function', 'start_date': datetime.datetime(2011, 12, 12, 22, 53, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 4, 18, 22, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 31, 0, 25, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c8e13a50-7356-4c42-9c22-cbd5fa479ff3', 'end_date': datetime.datetime(2012, 3, 2, 5, 22, 30), 'start_time': datetime.datetime(2019, 9, 2, 0, 31, 59), 'rate': 3, 'updated_at': datetime.datetime(2010, 6, 2, 3, 42, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '826b4996-f008-4a08-9954-9dbc8004d606', 'job_description': 'Re-engineered dedicated array', 'start_date': datetime.datetime(2011, 2, 7, 6, 14, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 14, 4, 46, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 30, 16, 21, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ea4899f-8727-4c03-915c-f1702465546b', 'end_date': datetime.datetime(2017, 6, 7, 11, 37, 8), 'start_time': datetime.datetime(2015, 5, 9, 15, 44, 36), 'rate': 4, 'updated_at': datetime.datetime(2010, 12, 19, 3, 51, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9c453746-3b02-40ca-8bbe-3cda258c8b02', 'job_description': 'Operative incremental approach', 'start_date': datetime.datetime(2015, 5, 1, 4, 14, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 10, 17, 50, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 2, 10, 49, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd4c109e4-25a5-4349-9fb0-9191e0827809', 'end_date': datetime.datetime(2015, 4, 23, 4, 5, 38), 'start_time': datetime.datetime(2011, 3, 31, 22, 2, 40), 'rate': 1, 'updated_at': datetime.datetime(2011, 12, 4, 14, 10, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8bec0662-636c-44ef-bd4c-037dd68204c3', 'job_description': 'Switchable bottom-line leverage', 'start_date': datetime.datetime(2019, 2, 19, 0, 53, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 30, 15, 23, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 16, 1, 9, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dd5262e5-c89d-4d5d-99f0-d7f73c1827ee', 'end_date': datetime.datetime(2015, 7, 14, 6, 47, 51), 'start_time': datetime.datetime(2018, 8, 31, 15, 16, 19), 'rate': 3, 'updated_at': datetime.datetime(2018, 5, 14, 8, 39, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Bulgaria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e8e3b25-3ca8-4648-836f-9cf9b508aa86', 'job_description': 'Total systemic leverage', 'start_date': datetime.datetime(2018, 1, 15, 0, 27, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 8, 20, 11, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 20, 15, 0, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ca369456-84f9-4e81-aedf-a7fa20c86251', 'end_date': datetime.datetime(2014, 6, 10, 13, 26, 28), 'start_time': datetime.datetime(2018, 5, 7, 4, 59, 31), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 10, 13, 45, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '49f2bdf6-f580-4993-b747-8014c027fca8', 'job_description': 'Total actuating service-desk', 'start_date': datetime.datetime(2011, 4, 22, 12, 5, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 15, 21, 10, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 10, 2, 54, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f2d8009b-3f09-4d79-b10c-09c22b68c921', 'end_date': datetime.datetime(2017, 2, 1, 22, 56), 'start_time': datetime.datetime(2013, 1, 8, 21, 40, 55), 'rate': 1, 'updated_at': datetime.datetime(2017, 12, 16, 13, 49, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'be6d002b-2758-46b0-844e-68b2d079ff02', 'job_description': 'Customer-focused scalable concept', 'start_date': datetime.datetime(2010, 5, 30, 2, 41, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 6, 22, 22, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 6, 11, 0, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '05f9bce8-6d2c-4c83-adc1-08a479f2d91c', 'end_date': datetime.datetime(2019, 11, 23, 20, 4, 10), 'start_time': datetime.datetime(2014, 7, 16, 18, 49, 7), 'rate': 3, 'updated_at': datetime.datetime(2013, 5, 10, 8, 28, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5fd0a48a-2739-4244-8f24-0ece774f3bd1', 'job_description': 'Pre-emptive next generation time-frame', 'start_date': datetime.datetime(2017, 1, 31, 19, 11, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 9, 9, 56, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 27, 5, 31, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ae40e3c5-cdbf-46cf-9d6a-e7531086b7bd', 'end_date': datetime.datetime(2011, 12, 14, 20, 21, 34), 'start_time': datetime.datetime(2017, 6, 27, 7, 34, 31), 'rate': 4, 'updated_at': datetime.datetime(2018, 2, 5, 8, 1, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '453d09f8-7016-429c-8039-c93e2b87bc35', 'job_description': 'Virtual methodical service-desk', 'start_date': datetime.datetime(2015, 12, 9, 17, 44, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 17, 1, 31, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 10, 17, 0, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0e633969-5b7f-44f9-94fe-19fbc76eaec5', 'end_date': datetime.datetime(2012, 12, 31, 0, 49, 41), 'start_time': datetime.datetime(2018, 1, 21, 15, 48, 8), 'rate': 1, 'updated_at': datetime.datetime(2010, 7, 8, 7, 31, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fad36eb3-296f-47ad-afbc-3844d7a230d4', 'job_description': 'Open-source scalable hierarchy', 'start_date': datetime.datetime(2017, 7, 25, 23, 29, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 28, 2, 30, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 5, 0, 24, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e6a523cd-7457-46c9-a541-39c388fb47aa', 'end_date': datetime.datetime(2017, 6, 24, 16, 9, 12), 'start_time': datetime.datetime(2018, 5, 27, 14, 11, 49), 'rate': 5, 'updated_at': datetime.datetime(2015, 3, 13, 21, 10, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '43458ebc-dfa3-48ff-ad32-900c970de217', 'job_description': 'Right-sized web-enabled process improvement', 'start_date': datetime.datetime(2014, 5, 5, 6, 20, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 10, 0, 43, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 9, 11, 54, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '464cb90a-d82b-4011-a903-092b58cca850', 'end_date': datetime.datetime(2011, 9, 19, 15, 30, 33), 'start_time': datetime.datetime(2011, 8, 18, 2, 9, 54), 'rate': 1, 'updated_at': datetime.datetime(2017, 12, 24, 5, 56, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Egypt', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ad7c99de-f250-4388-86ee-28eb04db3460', 'job_description': 'Visionary bottom-line knowledge base', 'start_date': datetime.datetime(2013, 7, 5, 23, 19, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 18, 9, 26, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 10, 19, 49, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '608b7953-ecd6-4805-b400-9add39a3feb9', 'end_date': datetime.datetime(2015, 3, 24, 2, 21, 4), 'start_time': datetime.datetime(2013, 8, 30, 13, 33, 53), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 31, 6, 26, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ab1f50f0-bf41-422f-b11c-e821037fe737', 'job_description': 'User-centric fresh-thinking concept', 'start_date': datetime.datetime(2013, 3, 12, 12, 17, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 26, 2, 13, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 11, 7, 12, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bfbe47b1-cc11-4208-9816-d9607798cb07', 'end_date': datetime.datetime(2014, 9, 3, 7, 52, 45), 'start_time': datetime.datetime(2019, 9, 21, 2, 5, 58), 'rate': 5, 'updated_at': datetime.datetime(2014, 11, 27, 10, 32, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd09a8c10-33d5-431c-aa47-d5234067424a', 'job_description': 'Reactive composite hardware', 'start_date': datetime.datetime(2012, 5, 30, 12, 48, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 21, 10, 49, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 29, 18, 17, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8cb78ef0-8a1a-4acf-a05d-f6ebe22705be', 'end_date': datetime.datetime(2014, 1, 2, 0, 6, 35), 'start_time': datetime.datetime(2012, 4, 6, 16, 45, 43), 'rate': 4, 'updated_at': datetime.datetime(2016, 7, 8, 19, 24, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81f28281-2aed-4b63-9bdd-2d2cc6008a0a', 'job_description': 'Optional empowering support', 'start_date': datetime.datetime(2011, 11, 14, 10, 38, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 27, 5, 35, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 12, 7, 2, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '91716c02-38fc-499d-89fb-d32ee37b691f', 'end_date': datetime.datetime(2015, 12, 15, 19, 34, 52), 'start_time': datetime.datetime(2015, 6, 28, 4, 30, 24), 'rate': 2, 'updated_at': datetime.datetime(2017, 8, 5, 7, 35, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1907aba8-8c40-4159-bbcd-82197db47de0', 'job_description': 'Front-line methodical conglomeration', 'start_date': datetime.datetime(2011, 9, 25, 22, 20, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 20, 20, 11, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 1, 9, 6, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a22adf9b-e213-4d3b-b4bc-b618f1b47198', 'end_date': datetime.datetime(2019, 7, 13, 9, 7, 40), 'start_time': datetime.datetime(2019, 11, 24, 20, 12, 11), 'rate': 5, 'updated_at': datetime.datetime(2016, 4, 17, 10, 27, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9493e3e4-e041-491a-aeae-458939567a0c', 'job_description': 'Synergized optimizing encryption', 'start_date': datetime.datetime(2017, 2, 26, 4, 38, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 25, 23, 30, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 1, 21, 49, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '490a7254-a1f9-4417-bd51-06c4327096e8', 'end_date': datetime.datetime(2011, 2, 27, 4, 42, 52), 'start_time': datetime.datetime(2016, 6, 25, 14, 3, 11), 'rate': 5, 'updated_at': datetime.datetime(2012, 7, 9, 8, 47, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aef258cd-0b50-4868-bd40-48fbb33fa9c2', 'job_description': 'Extended maximized focus group', 'start_date': datetime.datetime(2013, 7, 20, 10, 50, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 12, 10, 5, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 21, 5, 28, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6f5b4898-761e-446f-98f3-c15f95fe4c84', 'end_date': datetime.datetime(2010, 10, 11, 7, 44), 'start_time': datetime.datetime(2018, 12, 16, 15, 8, 10), 'rate': 2, 'updated_at': datetime.datetime(2012, 11, 18, 22, 10, 50), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1e6c3615-05b0-450b-a05b-4fd4a3062151', 'job_description': 'Synergized local local area network', 'start_date': datetime.datetime(2016, 4, 21, 18, 50, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 14, 10, 55, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 8, 20, 41, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '75e26d6b-3feb-4d05-a753-f293fb1f83f7', 'end_date': datetime.datetime(2018, 8, 15, 1, 18, 3), 'start_time': datetime.datetime(2014, 8, 31, 16, 28, 32), 'rate': 1, 'updated_at': datetime.datetime(2016, 8, 25, 4, 1, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '57324f53-c7ef-4427-858c-329d2557f148', 'job_description': 'Function-based needs-based capacity', 'start_date': datetime.datetime(2018, 1, 21, 7, 12, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 12, 8, 17, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 1, 7, 19, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '74e3d9d5-5bfe-42df-a164-ef396308fe55', 'end_date': datetime.datetime(2014, 4, 25, 9, 50, 18), 'start_time': datetime.datetime(2012, 5, 8, 9, 59, 5), 'rate': 2, 'updated_at': datetime.datetime(2013, 10, 8, 4, 3, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '360466bd-f30f-4d52-a9b7-b85728ec2a93', 'job_description': 'Fully-configurable background concept', 'start_date': datetime.datetime(2015, 9, 19, 12, 52, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 26, 2, 43, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 24, 9, 32, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '300be7eb-e9d2-4579-8093-ad2c8649b746', 'end_date': datetime.datetime(2012, 4, 23, 20, 43, 3), 'start_time': datetime.datetime(2013, 9, 30, 22, 46, 17), 'rate': 1, 'updated_at': datetime.datetime(2010, 3, 31, 22, 4, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ce02de01-1610-490b-b9b3-5ab7e3654f53', 'job_description': 'Configurable solution-oriented moratorium', 'start_date': datetime.datetime(2016, 10, 19, 3, 4, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 7, 4, 8, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 5, 4, 6, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c26b9219-5d6a-4228-aa64-9d34959617ea', 'end_date': datetime.datetime(2010, 9, 4, 14, 41, 42), 'start_time': datetime.datetime(2010, 6, 30, 4, 18, 3), 'rate': 1, 'updated_at': datetime.datetime(2014, 8, 9, 22, 10, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2cc2dd15-7aed-4a65-a492-ccfe7fbc9f8f', 'job_description': 'Managed 24/7 intranet', 'start_date': datetime.datetime(2019, 1, 28, 22, 31, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 3, 21, 0, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 10, 4, 16, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f213d670-9a6b-425c-94e5-0001e3dd10d3', 'end_date': datetime.datetime(2019, 4, 26, 9, 13, 9), 'start_time': datetime.datetime(2018, 3, 17, 5, 50, 35), 'rate': 5, 'updated_at': datetime.datetime(2015, 9, 17, 23, 43, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7bfbe5aa-b790-4277-9b59-7ac9d838b2ef', 'job_description': 'Realigned intangible hierarchy', 'start_date': datetime.datetime(2011, 8, 17, 14, 51, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 22, 6, 44, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 11, 21, 10, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bb8c6c2f-4d63-4ac5-8793-4b03a491c12d', 'end_date': datetime.datetime(2014, 3, 13, 10, 8, 50), 'start_time': datetime.datetime(2015, 5, 22, 4, 31, 45), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 13, 17, 42, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '70f35dde-741c-4295-bd8d-8ce834e73bbc', 'job_description': 'Business-focused actuating local area network', 'start_date': datetime.datetime(2018, 9, 26, 13, 12, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 11, 10, 10, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 15, 21, 42, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0e6df4e4-ef9d-4361-b1e4-25a83ca4e277', 'end_date': datetime.datetime(2012, 9, 21, 11, 26, 17), 'start_time': datetime.datetime(2010, 2, 3, 1, 2, 9), 'rate': 3, 'updated_at': datetime.datetime(2015, 11, 14, 2, 3, 20), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b81790b5-15e4-4b7e-95e7-3a5cc0925e7c', 'job_description': 'Business-focused methodical hierarchy', 'start_date': datetime.datetime(2015, 8, 7, 22, 57, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 20, 13, 21, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 1, 10, 12, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c949b03b-f2b1-4a18-a78c-7146e85321d9', 'end_date': datetime.datetime(2019, 10, 10, 11, 51, 32), 'start_time': datetime.datetime(2014, 11, 16, 6, 52, 20), 'rate': 4, 'updated_at': datetime.datetime(2013, 5, 19, 2, 55, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5cd0b705-22a5-48b4-ac4e-94a14d469dbe', 'job_description': 'Up-sized solution-oriented methodology', 'start_date': datetime.datetime(2015, 8, 23, 16, 44, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 12, 9, 37, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 13, 10, 19, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '56d7ef65-5ba2-44f7-b2cf-8522fd89a897', 'end_date': datetime.datetime(2011, 8, 22, 12, 44, 50), 'start_time': datetime.datetime(2015, 9, 2, 22, 23, 49), 'rate': 2, 'updated_at': datetime.datetime(2015, 8, 18, 19, 28, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2f9bb17f-fdec-4bf1-9e11-8ddf6569f29b', 'job_description': 'Cloned methodical intranet', 'start_date': datetime.datetime(2012, 11, 9, 19, 1, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 5, 1, 7, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 17, 5, 47, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '06642c24-4b1c-43ba-82a3-91b57e538e50', 'end_date': datetime.datetime(2012, 12, 26, 9, 50, 27), 'start_time': datetime.datetime(2019, 7, 25, 0, 52, 20), 'rate': 3, 'updated_at': datetime.datetime(2019, 8, 10, 4, 37, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7f429dd4-d931-4cbc-8928-344644eaa0a5', 'job_description': 'Progressive didactic knowledge user', 'start_date': datetime.datetime(2017, 12, 20, 4, 44, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 5, 13, 57, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 7, 7, 46, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8aec4949-43ac-4de2-93be-95a22b284c01', 'end_date': datetime.datetime(2012, 7, 16, 9, 47, 44), 'start_time': datetime.datetime(2015, 4, 17, 1, 8, 40), 'rate': 5, 'updated_at': datetime.datetime(2015, 2, 16, 7, 15, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f2f3bd21-b113-4ec4-a741-daa55843be73', 'job_description': 'Stand-alone intangible infrastructure', 'start_date': datetime.datetime(2012, 12, 27, 9, 21, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 5, 15, 5, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 28, 4, 31, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '19470c44-67f4-435d-8a0c-a3872667d70f', 'end_date': datetime.datetime(2015, 3, 10, 15, 45, 24), 'start_time': datetime.datetime(2015, 5, 14, 4, 2, 59), 'rate': 3, 'updated_at': datetime.datetime(2012, 7, 2, 1, 4, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b4002951-6406-4ba6-9ef7-304a8599cc66', 'job_description': 'Extended holistic website', 'start_date': datetime.datetime(2010, 9, 14, 13, 56, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 27, 12, 47, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 29, 0, 33, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '772bf0ae-7445-4646-9fe7-2645aba06380', 'end_date': datetime.datetime(2018, 1, 7, 14, 42, 6), 'start_time': datetime.datetime(2018, 11, 11, 9, 42, 9), 'rate': 1, 'updated_at': datetime.datetime(2014, 3, 7, 14, 6, 17), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3d04bd90-f01c-4855-a99b-98cd88553054', 'job_description': 'Object-based upward-trending policy', 'start_date': datetime.datetime(2014, 4, 24, 17, 12, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 6, 15, 10, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 27, 2, 31, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3e61fd11-d038-4445-95ce-2b1964c74e8a', 'end_date': datetime.datetime(2010, 11, 15, 15, 11, 1), 'start_time': datetime.datetime(2013, 5, 8, 11, 46, 31), 'rate': 3, 'updated_at': datetime.datetime(2014, 9, 26, 11, 37, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Nauru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '04a3ae75-e9bf-40a6-8bbe-18ae98ff216a', 'job_description': 'Versatile executive middleware', 'start_date': datetime.datetime(2019, 8, 19, 23, 54, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 1, 14, 5, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 13, 0, 20, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f7493b11-4618-4ded-81b6-6ebfe71342af', 'end_date': datetime.datetime(2015, 4, 1, 4, 52, 4), 'start_time': datetime.datetime(2016, 1, 10, 8, 35, 14), 'rate': 4, 'updated_at': datetime.datetime(2017, 2, 21, 20, 16, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '47b736ef-53c4-4deb-b9b2-d8545450b435', 'job_description': 'Innovative value-added matrix', 'start_date': datetime.datetime(2018, 11, 20, 7, 54, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 3, 6, 35, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 29, 22, 40, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a372c12-263f-4173-b487-2981a2a91c73', 'end_date': datetime.datetime(2019, 1, 30, 18, 5, 41), 'start_time': datetime.datetime(2013, 7, 16, 1, 8, 7), 'rate': 3, 'updated_at': datetime.datetime(2016, 5, 14, 22, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ff0799a3-2929-4578-9740-91cfa6c50be8', 'job_description': 'Down-sized dedicated standardization', 'start_date': datetime.datetime(2014, 9, 21, 4, 56, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 1, 6, 59, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 21, 22, 30, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b02e7bde-aea9-49b8-b84a-75edf81f0367', 'end_date': datetime.datetime(2013, 6, 2, 14, 38, 29), 'start_time': datetime.datetime(2014, 8, 20, 3, 4, 31), 'rate': 2, 'updated_at': datetime.datetime(2015, 3, 14, 6, 19, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c3fa73cf-2ea7-4f3a-9fc1-14f5c8c62778', 'job_description': 'Self-enabling national software', 'start_date': datetime.datetime(2015, 10, 24, 23, 37, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 23, 12, 12, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 16, 20, 53, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e8232d1a-0eac-4105-8dcc-bd613b4a5e35', 'end_date': datetime.datetime(2014, 12, 1, 18, 39, 37), 'start_time': datetime.datetime(2015, 10, 12, 18, 51, 33), 'rate': 4, 'updated_at': datetime.datetime(2010, 10, 6, 15, 0, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e1a60f1b-3ae5-4f28-aa64-c515bdfb30b1', 'job_description': 'Customer-focused mobile projection', 'start_date': datetime.datetime(2011, 6, 27, 14, 22, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 12, 8, 24, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 23, 15, 27, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd8b79849-1135-4ebd-b618-99a0baf849e9', 'end_date': datetime.datetime(2019, 6, 7, 10, 39, 50), 'start_time': datetime.datetime(2014, 11, 2, 15, 43, 15), 'rate': 2, 'updated_at': datetime.datetime(2010, 3, 20, 1, 50, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Oman', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2e0c36fd-dccc-449a-bfd9-9172a2f55cbe', 'job_description': 'Enterprise-wide client-server collaboration', 'start_date': datetime.datetime(2011, 6, 23, 5, 45, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 13, 23, 34, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 27, 5, 6, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6874f32f-7ef7-4704-af03-13400b5b93ee', 'end_date': datetime.datetime(2018, 3, 12, 4, 56, 50), 'start_time': datetime.datetime(2015, 6, 20, 2, 35, 25), 'rate': 1, 'updated_at': datetime.datetime(2011, 5, 26, 12, 15, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8fc3eef7-8316-4e40-b2af-1a9548db05a9', 'job_description': 'Inverse foreground adapter', 'start_date': datetime.datetime(2016, 4, 9, 4, 14, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 17, 6, 8, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 8, 5, 58, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9c5a34c-71fd-4361-9741-b0f8a7a62e86', 'end_date': datetime.datetime(2016, 4, 24, 23, 45, 9), 'start_time': datetime.datetime(2018, 4, 18, 22, 44, 42), 'rate': 5, 'updated_at': datetime.datetime(2014, 11, 6, 16, 9, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b0b234a6-b0c0-4561-88ff-ec6aeaed31ef', 'job_description': 'Synchronised eco-centric approach', 'start_date': datetime.datetime(2018, 12, 13, 3, 15, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 2, 5, 51, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 14, 23, 37, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '67fae075-b89e-4ebd-b034-9748a28d8b0c', 'end_date': datetime.datetime(2013, 8, 21, 17, 1, 6), 'start_time': datetime.datetime(2011, 4, 28, 10, 31, 37), 'rate': 4, 'updated_at': datetime.datetime(2018, 3, 18, 16, 0, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '36ed8ee7-1cc4-49e3-9099-6ff8e4e72e4d', 'job_description': 'Function-based grid-enabled toolset', 'start_date': datetime.datetime(2015, 10, 18, 17, 14, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 11, 5, 20, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 6, 23, 27, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '58a0e0bb-7d4a-4aaa-b6c4-f09ee8bd2219', 'end_date': datetime.datetime(2019, 9, 6, 19, 24, 16), 'start_time': datetime.datetime(2017, 8, 30, 22, 7, 57), 'rate': 5, 'updated_at': datetime.datetime(2012, 3, 12, 12, 7, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Angola', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd550a071-6ef7-499a-ab04-6e329f265431', 'job_description': 'Total global customer loyalty', 'start_date': datetime.datetime(2018, 3, 7, 18, 47, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 4, 10, 26, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 26, 15, 26, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9665aa51-dbed-4bb6-9272-c91864e66241', 'end_date': datetime.datetime(2010, 10, 17, 2, 32, 19), 'start_time': datetime.datetime(2012, 9, 30, 18, 13, 30), 'rate': 3, 'updated_at': datetime.datetime(2015, 6, 2, 9, 59, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0c5f18ae-0b3d-4b2c-a7f4-0fa5d4ba1976', 'job_description': 'Phased foreground framework', 'start_date': datetime.datetime(2018, 10, 6, 20, 25, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 16, 22, 0, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 8, 4, 10, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '102ddac5-4f01-4ea0-8f22-f42936c89cc4', 'end_date': datetime.datetime(2019, 3, 12, 17, 57, 55), 'start_time': datetime.datetime(2013, 10, 9, 2, 48, 22), 'rate': 2, 'updated_at': datetime.datetime(2017, 3, 18, 2, 6, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c4d85c74-f5be-4b93-aec1-7be73f9f34c9', 'job_description': 'Robust transitional adapter', 'start_date': datetime.datetime(2016, 3, 25, 23, 50, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 11, 14, 31, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 8, 11, 9, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '76ab3b43-b0e3-4ac3-81b1-4af761139ebf', 'end_date': datetime.datetime(2014, 11, 19, 1, 24, 7), 'start_time': datetime.datetime(2013, 6, 13, 4, 41, 24), 'rate': 4, 'updated_at': datetime.datetime(2014, 6, 18, 20, 36, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Russian Federation', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c061e478-4bbf-44f0-aceb-0974227a3e7f', 'job_description': 'Progressive content-based capability', 'start_date': datetime.datetime(2011, 8, 20, 20, 14, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 14, 18, 16, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 20, 14, 20, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1fb88242-6e6e-4eda-aa87-d71e41f8f4de', 'end_date': datetime.datetime(2017, 2, 2, 17, 33, 55), 'start_time': datetime.datetime(2011, 1, 1, 12, 53, 55), 'rate': 2, 'updated_at': datetime.datetime(2011, 8, 17, 17, 46, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '701c0b92-9bfc-4ca3-92d6-55a2804e973e', 'job_description': 'Cloned local initiative', 'start_date': datetime.datetime(2014, 1, 15, 12, 17, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 20, 4, 29, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 8, 6, 24, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fe000886-4861-440f-ad74-e81fc5c67727', 'end_date': datetime.datetime(2015, 1, 24, 6, 56, 7), 'start_time': datetime.datetime(2017, 12, 21, 14, 40, 45), 'rate': 3, 'updated_at': datetime.datetime(2013, 3, 17, 19, 54, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '50af2b4f-1ee4-4658-b6ef-f58ec810099c', 'job_description': 'Public-key regional alliance', 'start_date': datetime.datetime(2010, 6, 1, 6, 41, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 17, 13, 59, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 5, 15, 36, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4647ea40-6774-4cbf-bf49-68d4f30c5659', 'end_date': datetime.datetime(2013, 2, 16, 2, 11, 12), 'start_time': datetime.datetime(2018, 1, 23, 21, 45, 56), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 8, 20, 12, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6cb58044-7461-4780-9d60-9c69e7172995', 'job_description': 'Assimilated assymetric Graphical User Interface', 'start_date': datetime.datetime(2016, 12, 28, 17, 2, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 28, 17, 26, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 23, 17, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '82f7c638-7dff-40cc-90f1-fd504a46fe51', 'end_date': datetime.datetime(2016, 1, 25, 17, 32), 'start_time': datetime.datetime(2010, 6, 29, 0, 52, 46), 'rate': 2, 'updated_at': datetime.datetime(2015, 6, 11, 17, 22, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7b86ee3a-5381-4b11-a04f-d5254ea65f8c', 'job_description': 'Fundamental mission-critical capacity', 'start_date': datetime.datetime(2017, 11, 14, 12, 36, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 27, 20, 14, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 12, 17, 32, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8a643cde-95e1-4741-9762-3ff1caa376ba', 'end_date': datetime.datetime(2015, 11, 23, 18, 25, 35), 'start_time': datetime.datetime(2011, 9, 27, 8, 58, 2), 'rate': 2, 'updated_at': datetime.datetime(2019, 5, 18, 10, 22, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c17c353e-0468-4b7b-8ca5-df4f7b2cc5c0', 'job_description': 'Digitized clear-thinking array', 'start_date': datetime.datetime(2015, 12, 18, 12, 5, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 22, 6, 15, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 22, 18, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7ab96244-6451-4bb1-ae33-d7bf20d641d0', 'end_date': datetime.datetime(2018, 1, 1, 0, 29, 7), 'start_time': datetime.datetime(2017, 11, 3, 5, 22, 14), 'rate': 2, 'updated_at': datetime.datetime(2018, 4, 17, 1, 44, 20), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2b1f66ad-1187-4e07-884a-d20755602dae', 'job_description': 'Cloned coherent moderator', 'start_date': datetime.datetime(2015, 7, 9, 3, 49, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 26, 10, 9, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 20, 2, 4, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1e526888-d73a-4c95-80ed-3e4f9f94778f', 'end_date': datetime.datetime(2012, 3, 16, 8, 38, 57), 'start_time': datetime.datetime(2015, 5, 19, 19, 0, 50), 'rate': 2, 'updated_at': datetime.datetime(2017, 10, 15, 12, 2, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8724e1f-2143-4519-88f5-f7efa686fa5e', 'job_description': 'Ergonomic object-oriented productivity', 'start_date': datetime.datetime(2012, 6, 2, 5, 13, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 8, 13, 30, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 12, 1, 50, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0390c58d-9f2c-4037-b2f1-df531f85b926', 'end_date': datetime.datetime(2010, 2, 27, 18, 47, 16), 'start_time': datetime.datetime(2014, 8, 13, 5, 37, 56), 'rate': 2, 'updated_at': datetime.datetime(2018, 6, 26, 18, 16, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7cdfb7dc-c393-445e-92e5-351dce58803d', 'job_description': 'Fundamental bifurcated orchestration', 'start_date': datetime.datetime(2013, 11, 15, 18, 59, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 17, 0, 30, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 29, 0, 11, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8b6d44c3-37e3-407e-8086-38c5957dae89', 'end_date': datetime.datetime(2010, 7, 9, 14, 54, 25), 'start_time': datetime.datetime(2015, 4, 22, 22, 58, 39), 'rate': 1, 'updated_at': datetime.datetime(2014, 2, 18, 13, 47, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '643aa288-7b09-4d4e-863d-00f65468ea3e', 'job_description': 'Grass-roots intangible concept', 'start_date': datetime.datetime(2017, 7, 18, 22, 22, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 20, 11, 20, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 7, 6, 34, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '708b1596-07a8-4971-af87-e1511cb34415', 'end_date': datetime.datetime(2016, 4, 16, 14, 10, 16), 'start_time': datetime.datetime(2015, 6, 11, 1, 39, 38), 'rate': 1, 'updated_at': datetime.datetime(2016, 7, 1, 17, 5, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
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{'_id': '432b11b6-9734-469b-a37e-7391f99e0d21', 'job_description': 'Devolved executive process improvement', 'start_date': datetime.datetime(2011, 9, 11, 8, 11, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 5, 16, 50, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 23, 17, 16, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2811f878-69ce-4bd4-82fd-63f918403712', 'end_date': datetime.datetime(2013, 10, 28, 18, 17, 30), 'start_time': datetime.datetime(2011, 6, 19, 9, 24, 33), 'rate': 3, 'updated_at': datetime.datetime(2013, 3, 22, 5, 57, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bdf20386-e9b7-4a35-ab94-f5692e447867', 'job_description': 'Proactive bifurcated open architecture', 'start_date': datetime.datetime(2012, 9, 26, 22, 26, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 13, 17, 17, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 23, 22, 58, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a30c49b5-429b-461e-a7fa-5ef3cd399c78', 'end_date': datetime.datetime(2015, 1, 8, 10, 8, 18), 'start_time': datetime.datetime(2013, 4, 23, 14, 1, 45), 'rate': 4, 'updated_at': datetime.datetime(2016, 8, 16, 13, 12, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e3b2124f-3cf5-4ede-a6b1-5a52e9f3e5eb', 'job_description': 'Digitized exuding budgetary management', 'start_date': datetime.datetime(2012, 5, 23, 20, 31, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 22, 10, 29, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 17, 3, 29, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd12511f8-93bc-4507-bfd2-f7bcf91f1515', 'end_date': datetime.datetime(2019, 7, 9, 11, 59, 17), 'start_time': datetime.datetime(2010, 12, 24, 17, 42, 10), 'rate': 1, 'updated_at': datetime.datetime(2014, 7, 28, 16, 36, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
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{'_id': '098f3df1-8820-44c3-b3dc-05c42395295e', 'job_description': 'Mandatory holistic structure', 'start_date': datetime.datetime(2011, 4, 21, 2, 13, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 18, 2, 22, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 8, 4, 49, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9c4a47d6-3983-4e49-8647-21e386b56c90', 'end_date': datetime.datetime(2013, 10, 1, 23, 27, 18), 'start_time': datetime.datetime(2012, 11, 10, 6, 15, 33), 'rate': 1, 'updated_at': datetime.datetime(2013, 10, 26, 23, 2, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': 'c667ab0a-2048-4f13-a0cf-299268fe9fd0', 'job_description': 'Phased reciprocal synergy', 'start_date': datetime.datetime(2013, 12, 9, 21, 51, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 20, 4, 21, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 1, 6, 22, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '061af8de-1113-4f56-8f0b-0bea80775d63', 'end_date': datetime.datetime(2011, 11, 3, 20, 0, 31), 'start_time': datetime.datetime(2015, 6, 27, 13, 57, 19), 'rate': 3, 'updated_at': datetime.datetime(2014, 11, 26, 15, 27, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '41edd7ca-a52d-4151-b96b-9d45270c7a12', 'job_description': 'Cloned optimizing moderator', 'start_date': datetime.datetime(2018, 5, 9, 8, 18, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 11, 19, 56, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 24, 10, 4, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5a46a8f-8d8d-4b44-a95f-c991dc906060', 'end_date': datetime.datetime(2017, 9, 22, 20, 52, 48), 'start_time': datetime.datetime(2011, 12, 2, 6, 16, 22), 'rate': 2, 'updated_at': datetime.datetime(2011, 9, 21, 6, 40, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0cdebb93-2253-491c-903c-c5dd1eb74686', 'job_description': 'Streamlined content-based hierarchy', 'start_date': datetime.datetime(2014, 12, 28, 16, 49, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 12, 17, 44, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 11, 20, 46, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '41b8fbd2-80ba-41c4-92d2-a2db90f4ef5f', 'end_date': datetime.datetime(2016, 9, 30, 16, 27, 48), 'start_time': datetime.datetime(2011, 6, 26, 0, 42, 27), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 27, 15, 17, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1ae74207-a422-4e78-b0e3-c7d19dc59a60', 'job_description': 'Realigned zero administration Graphic Interface', 'start_date': datetime.datetime(2013, 2, 6, 22, 8, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 13, 16, 47, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 9, 14, 2, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f7edbe91-f643-4a39-a533-4a509a36a310', 'end_date': datetime.datetime(2012, 2, 2, 1, 35, 56), 'start_time': datetime.datetime(2013, 1, 3, 10, 27, 56), 'rate': 5, 'updated_at': datetime.datetime(2010, 5, 19, 18, 37, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '07505032-ec96-4686-b3de-2a0e32a6eef3', 'job_description': 'Reverse-engineered real-time workforce', 'start_date': datetime.datetime(2011, 1, 1, 18, 45, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 8, 17, 28, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 23, 13, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd955d0f0-9699-4fc8-85fc-cdd5bde6c75a', 'end_date': datetime.datetime(2014, 8, 27, 12, 48, 48), 'start_time': datetime.datetime(2011, 1, 16, 16, 28, 30), 'rate': 1, 'updated_at': datetime.datetime(2013, 2, 28, 23, 57, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Holy See (Vatican City State)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a1213244-a5af-41aa-b7ea-b50033bec319', 'job_description': 'Networked dedicated focus group', 'start_date': datetime.datetime(2015, 1, 11, 22, 2, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 1, 3, 30, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 26, 14, 55, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bfac711f-c7ca-4e21-a472-3c08f4484da0', 'end_date': datetime.datetime(2018, 5, 19, 15, 6, 31), 'start_time': datetime.datetime(2013, 4, 2, 21, 55, 38), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 16, 12, 54, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Germany', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c0a542e1-154b-4a21-b2e4-b38f30c13556', 'job_description': 'Customer-focused client-server conglomeration', 'start_date': datetime.datetime(2016, 4, 2, 0, 34, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 10, 10, 2, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 25, 14, 22, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '62cbca15-55ad-4d39-a300-cbeb8e730077', 'end_date': datetime.datetime(2012, 9, 18, 14, 44, 55), 'start_time': datetime.datetime(2018, 2, 10, 22, 46, 6), 'rate': 3, 'updated_at': datetime.datetime(2014, 4, 6, 10, 15, 51), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '402bf201-0556-485b-85d4-01c48d29ce5a', 'job_description': 'Seamless uniform definition', 'start_date': datetime.datetime(2017, 11, 19, 7, 17, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 24, 18, 8, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 23, 4, 35, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '16fd7959-549c-4bbc-b937-eb8da283132a', 'end_date': datetime.datetime(2011, 11, 10, 17, 58, 24), 'start_time': datetime.datetime(2011, 12, 25, 1, 8, 49), 'rate': 5, 'updated_at': datetime.datetime(2011, 1, 21, 0, 2, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1f1f1d7a-4d03-4ac8-8396-f8bb45246f10', 'job_description': 'Exclusive global architecture', 'start_date': datetime.datetime(2017, 3, 21, 1, 18, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 31, 18, 28, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 15, 6, 10, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3d790a57-e8a0-46b0-b3c9-18649686df3c', 'end_date': datetime.datetime(2011, 12, 27, 6, 52, 16), 'start_time': datetime.datetime(2018, 4, 16, 8, 13, 51), 'rate': 1, 'updated_at': datetime.datetime(2011, 5, 21, 17, 45, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '531f6e99-de22-47d5-b9b1-e600559e9569', 'job_description': 'Multi-channelled 3rd generation architecture', 'start_date': datetime.datetime(2011, 4, 9, 13, 54, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 13, 5, 39, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 11, 16, 12, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7f5bf789-6cd9-48da-97dd-f13f27c877fa', 'end_date': datetime.datetime(2010, 5, 14, 13, 14, 8), 'start_time': datetime.datetime(2012, 8, 29, 8, 10, 29), 'rate': 4, 'updated_at': datetime.datetime(2018, 11, 10, 12, 42, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c11f161e-b031-49df-b2b3-8315fbd8b5e9', 'job_description': 'Polarised static task-force', 'start_date': datetime.datetime(2017, 2, 26, 22, 49, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 14, 18, 56, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 12, 13, 8, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4678af9c-a0c5-4e76-ba0f-153bfac118e1', 'end_date': datetime.datetime(2016, 10, 27, 5, 38, 44), 'start_time': datetime.datetime(2011, 1, 10, 8, 20, 39), 'rate': 1, 'updated_at': datetime.datetime(2014, 3, 28, 10, 5, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Serbia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5825ea6e-734f-4004-a687-d9de6280635f', 'job_description': 'Public-key leading edge hub', 'start_date': datetime.datetime(2019, 4, 11, 19, 16, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 21, 21, 31, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 27, 19, 15, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9fb445e0-f995-4d62-845e-d3f0a8a5c7ff', 'end_date': datetime.datetime(2012, 11, 10, 20, 54, 8), 'start_time': datetime.datetime(2013, 11, 16, 8, 43, 12), 'rate': 4, 'updated_at': datetime.datetime(2016, 7, 18, 12, 42, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'abbba169-c0d8-4bfb-8ea2-24c5db5c2ee7', 'job_description': 'Versatile coherent toolset', 'start_date': datetime.datetime(2018, 8, 14, 22, 55, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 16, 16, 10, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 15, 6, 47, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '186f8f1d-ee41-47a4-873f-b0662d6f0946', 'end_date': datetime.datetime(2015, 4, 27, 2, 43, 29), 'start_time': datetime.datetime(2014, 7, 11, 10, 26, 50), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 8, 1, 25, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Czech Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1461916c-0df8-47e3-b37d-3b27d6ef5a95', 'job_description': 'Multi-channelled client-server projection', 'start_date': datetime.datetime(2019, 5, 28, 22, 4, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 17, 23, 57, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 29, 21, 36, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dd14a944-2a40-49ec-8a43-fdde12684ebd', 'end_date': datetime.datetime(2015, 10, 24, 1, 40, 1), 'start_time': datetime.datetime(2019, 8, 4, 12, 42, 52), 'rate': 5, 'updated_at': datetime.datetime(2016, 3, 25, 1, 49, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3177079c-2bf9-4300-907c-cceca329f990', 'job_description': 'Open-source radical service-desk', 'start_date': datetime.datetime(2018, 5, 17, 2, 52, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 26, 8, 21, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 26, 22, 55, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c509ee46-f873-44c1-a43a-b3eec873aa81', 'end_date': datetime.datetime(2013, 10, 20, 4, 31, 47), 'start_time': datetime.datetime(2016, 3, 20, 5, 54, 4), 'rate': 1, 'updated_at': datetime.datetime(2010, 4, 26, 17, 45, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '30b6ac57-bba1-403d-96b8-60988dd99803', 'job_description': 'Adaptive well-modulated data-warehouse', 'start_date': datetime.datetime(2012, 12, 14, 22, 30, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 3, 10, 21, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 8, 17, 30, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd6f67c81-ca4b-41d2-86ba-9def7b9dface', 'end_date': datetime.datetime(2011, 7, 24, 8, 17, 42), 'start_time': datetime.datetime(2018, 4, 17, 15, 46, 49), 'rate': 4, 'updated_at': datetime.datetime(2016, 2, 6, 8, 4, 7), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '24e442e1-f488-4558-a9c2-3ee8c5e4d767', 'job_description': 'Reactive uniform website', 'start_date': datetime.datetime(2010, 1, 16, 21, 2, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 31, 21, 29, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 24, 12, 41, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a99131c-3669-410b-a086-72a4c44ae093', 'end_date': datetime.datetime(2013, 8, 27, 20, 14, 12), 'start_time': datetime.datetime(2019, 7, 19, 21, 53, 4), 'rate': 1, 'updated_at': datetime.datetime(2011, 12, 27, 7, 2, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Botswana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '760bb0f2-2f05-4a29-b064-30a4e9fe4c87', 'job_description': 'Centralized upward-trending strategy', 'start_date': datetime.datetime(2011, 7, 6, 1, 26, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 9, 10, 27, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 2, 2, 2, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '01425205-9779-4fbb-8587-79b2a871ab23', 'end_date': datetime.datetime(2016, 11, 2, 16, 18, 3), 'start_time': datetime.datetime(2010, 5, 5, 15, 25, 45), 'rate': 5, 'updated_at': datetime.datetime(2011, 6, 5, 16, 59, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '32c69cda-9ccf-466c-9ce7-464e07162bae', 'job_description': 'Sharable reciprocal support', 'start_date': datetime.datetime(2018, 5, 13, 3, 9, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 6, 7, 22, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 21, 2, 31, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e4c5bb4e-7573-4400-97bf-05240fc3899b', 'end_date': datetime.datetime(2018, 11, 14, 7, 7, 53), 'start_time': datetime.datetime(2015, 1, 16, 13, 8, 26), 'rate': 4, 'updated_at': datetime.datetime(2012, 4, 9, 2, 40, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e45710d8-ec9f-4e18-8a84-bf3a6eda4a3d', 'job_description': 'Seamless fault-tolerant secured line', 'start_date': datetime.datetime(2015, 9, 10, 0, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 21, 20, 56, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 12, 17, 56, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f1aa272-bf46-4cea-9d04-ee16ac6a0ee5', 'end_date': datetime.datetime(2012, 11, 15, 4, 17, 16), 'start_time': datetime.datetime(2016, 11, 26, 5, 30, 21), 'rate': 3, 'updated_at': datetime.datetime(2012, 6, 22, 9, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '56410f22-0075-41de-b6d0-bacbfed3a09e', 'job_description': 'Focused high-level policy', 'start_date': datetime.datetime(2014, 6, 16, 0, 19, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 13, 5, 9, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 21, 0, 12, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '23c48be4-6154-4206-83c1-3cc5b95e03aa', 'end_date': datetime.datetime(2016, 7, 2, 17, 9, 37), 'start_time': datetime.datetime(2015, 6, 2, 13, 55, 3), 'rate': 4, 'updated_at': datetime.datetime(2019, 2, 15, 11, 54, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9eb1ca56-afdb-4b12-a09e-d5c016c7ca87', 'job_description': 'Multi-layered asynchronous extranet', 'start_date': datetime.datetime(2011, 3, 16, 9, 31, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 10, 5, 28, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 26, 11, 32, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a7842ae3-c659-4649-a8b8-0e85eedcac95', 'end_date': datetime.datetime(2011, 11, 1, 23, 1, 19), 'start_time': datetime.datetime(2012, 1, 27, 14, 5, 56), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 6, 22, 35, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bd4e66bc-b84f-49fe-887b-69471d0effc1', 'job_description': 'Stand-alone clear-thinking software', 'start_date': datetime.datetime(2018, 12, 1, 7, 56, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 18, 18, 10, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 29, 11, 17, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '511544d8-832d-4502-b780-b82a526524b4', 'end_date': datetime.datetime(2019, 9, 8, 5, 13, 34), 'start_time': datetime.datetime(2019, 10, 29, 3, 50, 33), 'rate': 1, 'updated_at': datetime.datetime(2013, 11, 12, 0, 16, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '43dad1cb-3b16-4874-940d-4355d7cfe616', 'job_description': 'Persevering scalable success', 'start_date': datetime.datetime(2014, 7, 14, 2, 37, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 4, 5, 8, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 21, 19, 35, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0533512e-59d2-44f4-9d14-6ca970c15200', 'end_date': datetime.datetime(2010, 7, 27, 0, 54, 52), 'start_time': datetime.datetime(2010, 10, 13, 8, 24, 2), 'rate': 3, 'updated_at': datetime.datetime(2016, 9, 7, 23, 3, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '091ef994-f2c6-45aa-8981-e68e620f09e5', 'job_description': 'Focused multi-tasking time-frame', 'start_date': datetime.datetime(2017, 1, 19, 12, 49, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 16, 21, 4, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 15, 19, 25, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '80a1676f-b919-4e10-a384-d6e0dd64a4b6', 'end_date': datetime.datetime(2014, 9, 14, 8, 25, 51), 'start_time': datetime.datetime(2010, 10, 8, 14, 18, 15), 'rate': 5, 'updated_at': datetime.datetime(2017, 3, 30, 7, 5, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '351997ae-506d-4719-9b18-29d86708e9c4', 'job_description': 'Stand-alone system-worthy paradigm', 'start_date': datetime.datetime(2015, 4, 11, 17, 17, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 5, 4, 45, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 12, 1, 5, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d650120-7680-4606-8279-0c60def32dc2', 'end_date': datetime.datetime(2017, 2, 26, 3, 47, 34), 'start_time': datetime.datetime(2014, 1, 13, 1, 28, 1), 'rate': 5, 'updated_at': datetime.datetime(2016, 11, 10, 6, 19, 12), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2725ac9b-85af-4d02-b30c-d5a16175b53f', 'job_description': 'Fully-configurable secondary implementation', 'start_date': datetime.datetime(2015, 5, 9, 20, 56, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 26, 12, 21, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 25, 2, 5, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd6e6e438-74b1-4984-9e9a-9adaf01cd157', 'end_date': datetime.datetime(2010, 9, 25, 6, 31, 3), 'start_time': datetime.datetime(2010, 10, 27, 9, 4, 22), 'rate': 5, 'updated_at': datetime.datetime(2017, 1, 19, 19, 47, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3d9ea64b-4fca-49be-92f4-9e6d0b24e676', 'job_description': 'Open-architected bi-directional knowledge base', 'start_date': datetime.datetime(2015, 9, 26, 11, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 16, 6, 16, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 18, 16, 10, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eaa751e9-6183-4bd9-bebb-cc10b85b4741', 'end_date': datetime.datetime(2019, 3, 16, 1, 19, 22), 'start_time': datetime.datetime(2012, 11, 3, 8, 24, 58), 'rate': 5, 'updated_at': datetime.datetime(2010, 6, 1, 1, 6, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3d90e863-71e5-40cb-8bc5-e34749ac6a51', 'job_description': 'Devolved multi-state functionalities', 'start_date': datetime.datetime(2014, 8, 8, 1, 46, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 14, 22, 32, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 21, 20, 23, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4e091ff4-04c6-49aa-b02a-b546731ee6d1', 'end_date': datetime.datetime(2011, 7, 4, 18, 20, 3), 'start_time': datetime.datetime(2018, 3, 13, 17, 26, 34), 'rate': 1, 'updated_at': datetime.datetime(2012, 9, 26, 1, 37, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '742d1d20-483a-4015-8631-50e0f99e362d', 'job_description': 'Up-sized directional archive', 'start_date': datetime.datetime(2011, 11, 11, 3, 54, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 20, 1, 17, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 17, 15, 21, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4527c9fd-87cd-4363-a89f-3284db71d22b', 'end_date': datetime.datetime(2014, 4, 18, 7, 55, 57), 'start_time': datetime.datetime(2012, 4, 21, 13, 49, 11), 'rate': 3, 'updated_at': datetime.datetime(2010, 5, 11, 2, 45, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '01a85c55-d968-4902-a136-7e9d3fb2f981', 'job_description': 'Face to face bandwidth-monitored implementation', 'start_date': datetime.datetime(2012, 2, 1, 19, 39, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 22, 16, 5, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 3, 19, 7, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0bfea5ae-c1e0-4208-b787-929b2d62089d', 'end_date': datetime.datetime(2012, 7, 30, 4, 28, 51), 'start_time': datetime.datetime(2018, 7, 17, 10, 9), 'rate': 1, 'updated_at': datetime.datetime(2017, 3, 20, 4, 31, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1b7dbc7e-7248-46fa-ab83-b95d937d6606', 'job_description': 'Right-sized asynchronous standardization', 'start_date': datetime.datetime(2011, 2, 27, 19, 35, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 7, 6, 58, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 26, 18, 56, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '69d739b7-fc74-414a-a1ea-7ff5874bd401', 'end_date': datetime.datetime(2016, 7, 14, 3, 23, 15), 'start_time': datetime.datetime(2016, 7, 8, 10, 58, 11), 'rate': 4, 'updated_at': datetime.datetime(2017, 2, 28, 19, 19, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '742164a2-a2e6-45a0-b9a3-43861b97eb0c', 'job_description': 'Down-sized interactive firmware', 'start_date': datetime.datetime(2010, 3, 13, 13, 46, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 26, 15, 9, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 29, 6, 59, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af460ee6-75ed-44ea-a952-298a3f82067b', 'end_date': datetime.datetime(2015, 6, 23, 14, 4, 58), 'start_time': datetime.datetime(2012, 11, 4, 23, 59, 52), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 12, 22, 44, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '94d68340-3a9b-46ff-a823-be51906e6d72', 'job_description': 'Cloned needs-based utilisation', 'start_date': datetime.datetime(2014, 12, 31, 0, 40, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 24, 15, 28, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 20, 5, 18, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '27d9fcc1-1274-46d2-8b80-d110daee3eb9', 'end_date': datetime.datetime(2014, 11, 17, 14, 39, 49), 'start_time': datetime.datetime(2011, 2, 17, 15, 48, 9), 'rate': 1, 'updated_at': datetime.datetime(2017, 10, 5, 6, 15, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81ac0c33-c3cf-471c-a3ed-3b2f581bf287', 'job_description': 'Adaptive system-worthy system engine', 'start_date': datetime.datetime(2018, 11, 13, 14, 18, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 6, 22, 21, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 16, 14, 12, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2aa5bf5c-bf02-470d-bafc-3de511a3f882', 'end_date': datetime.datetime(2018, 10, 22, 19, 41, 23), 'start_time': datetime.datetime(2012, 5, 26, 7, 13, 36), 'rate': 3, 'updated_at': datetime.datetime(2017, 6, 9, 9, 16, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Bermuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3cbfd280-d3f3-42cc-8d9e-5aa750b39c22', 'job_description': 'Self-enabling motivating capacity', 'start_date': datetime.datetime(2012, 3, 22, 9, 40, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 30, 18, 44, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 14, 7, 25, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b454a6f2-89ef-47b5-a85c-0415b793445c', 'end_date': datetime.datetime(2012, 7, 21, 16, 4, 23), 'start_time': datetime.datetime(2010, 11, 24, 21, 30, 55), 'rate': 3, 'updated_at': datetime.datetime(2015, 6, 15, 12, 59, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Heard Island and McDonald Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '09862854-c252-4d3b-8b63-5782973bab16', 'job_description': 'Proactive dynamic database', 'start_date': datetime.datetime(2012, 9, 4, 4, 33, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 11, 23, 30, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 18, 3, 53, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5f560ec7-a7d9-475f-a695-2f7c9499e947', 'end_date': datetime.datetime(2012, 1, 9, 5, 0, 10), 'start_time': datetime.datetime(2010, 4, 28, 11, 33, 39), 'rate': 5, 'updated_at': datetime.datetime(2015, 5, 25, 21, 15, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Martinique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7fbee431-0bda-4f56-b2c0-1f1ab4621121', 'job_description': 'Vision-oriented stable time-frame', 'start_date': datetime.datetime(2016, 2, 5, 8, 45, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 13, 23, 35, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 18, 16, 38, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0973651b-7c66-4e6a-a0d5-f670ebd5a22c', 'end_date': datetime.datetime(2016, 7, 1, 2, 27, 42), 'start_time': datetime.datetime(2019, 2, 6, 23, 9, 55), 'rate': 1, 'updated_at': datetime.datetime(2019, 11, 10, 2, 17, 33), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1006b8c8-2aac-42ae-a7bb-32f5d7dfdd08', 'job_description': 'Profound zero defect portal', 'start_date': datetime.datetime(2015, 7, 16, 1, 34, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 9, 20, 45, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 14, 2, 43, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aeca6baa-4763-49d8-a2f6-48864861813e', 'end_date': datetime.datetime(2018, 7, 13, 13, 24, 24), 'start_time': datetime.datetime(2018, 4, 11, 18, 32, 27), 'rate': 2, 'updated_at': datetime.datetime(2018, 9, 19, 4, 23, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fc8c66bd-43fc-4980-8fa5-bb6720478c94', 'job_description': 'Robust radical strategy', 'start_date': datetime.datetime(2019, 7, 15, 7, 50, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 6, 4, 25, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 15, 4, 52, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '93561570-47d2-4ff7-9838-375e470346d1', 'end_date': datetime.datetime(2012, 8, 14, 11, 25, 20), 'start_time': datetime.datetime(2018, 4, 30, 10, 10), 'rate': 1, 'updated_at': datetime.datetime(2017, 4, 28, 16, 18, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Belgium', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '372b0ee3-10bc-46b5-a470-761bb98310d4', 'job_description': 'Optimized heuristic service-desk', 'start_date': datetime.datetime(2016, 10, 18, 23, 11, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 8, 1, 11, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 25, 18, 5, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b0175750-1ca9-4095-8e4b-0d7f8ea38c6a', 'end_date': datetime.datetime(2013, 4, 9, 8, 2, 45), 'start_time': datetime.datetime(2010, 2, 3, 5, 2, 4), 'rate': 2, 'updated_at': datetime.datetime(2013, 2, 11, 6, 0, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c321e87-c2d6-4906-8df4-789c991a21b1', 'job_description': 'Integrated bandwidth-monitored superstructure', 'start_date': datetime.datetime(2016, 4, 20, 2, 0, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 9, 20, 19, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 28, 4, 1, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '92ef1abb-1250-4c0d-9c59-3f0e4aeaa53b', 'end_date': datetime.datetime(2016, 2, 23, 1, 6, 38), 'start_time': datetime.datetime(2011, 12, 26, 16, 50, 52), 'rate': 4, 'updated_at': datetime.datetime(2019, 2, 11, 19, 31, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '26146cf3-5dad-4b02-acb9-5cf1bb2ce654', 'job_description': 'Synchronised well-modulated focus group', 'start_date': datetime.datetime(2015, 1, 30, 0, 15, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 27, 1, 1, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 31, 15, 48, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '22bb2973-7007-4abb-beef-8291415e53bc', 'end_date': datetime.datetime(2018, 6, 21, 8, 46, 29), 'start_time': datetime.datetime(2010, 5, 15, 10, 17, 21), 'rate': 1, 'updated_at': datetime.datetime(2015, 4, 17, 4, 17, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b690eead-ac14-477f-aed8-fb5b8592a551', 'job_description': 'Cloned foreground focus group', 'start_date': datetime.datetime(2017, 5, 4, 6, 45, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 13, 13, 29, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 29, 5, 33, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd573ee87-95eb-47aa-a44a-f53eb243a8cd', 'end_date': datetime.datetime(2013, 1, 22, 13, 35, 23), 'start_time': datetime.datetime(2011, 10, 11, 18, 45, 41), 'rate': 4, 'updated_at': datetime.datetime(2012, 11, 5, 17, 56, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '05c814a2-37ef-4ac2-93ad-b16845de97d8', 'job_description': 'Public-key user-facing architecture', 'start_date': datetime.datetime(2015, 7, 23, 23, 5, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 3, 11, 27, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 20, 15, 7, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '23ade4cb-39d0-462a-855a-1cc69e5b191b', 'end_date': datetime.datetime(2013, 5, 30, 1, 24, 7), 'start_time': datetime.datetime(2017, 5, 17, 1, 16, 15), 'rate': 4, 'updated_at': datetime.datetime(2019, 9, 24, 19, 4, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '810e5600-c1bf-47d3-a599-df5f58cbbcca', 'job_description': 'Up-sized holistic task-force', 'start_date': datetime.datetime(2014, 9, 19, 15, 20, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 28, 0, 42, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 12, 12, 4, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '250faed2-5b18-4e3c-b5eb-5bc6e480c2f9', 'end_date': datetime.datetime(2013, 8, 8, 23, 51, 15), 'start_time': datetime.datetime(2016, 5, 15, 12, 22, 8), 'rate': 2, 'updated_at': datetime.datetime(2011, 10, 5, 0, 22, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '127c6aae-bb83-4b65-bc55-f606e4d2538a', 'job_description': 'Advanced value-added monitoring', 'start_date': datetime.datetime(2013, 7, 29, 19, 26, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 14, 2, 49, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 3, 7, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5d0c808d-33a1-4d69-9089-2b67ddc0d876', 'end_date': datetime.datetime(2015, 3, 19, 18, 39, 20), 'start_time': datetime.datetime(2012, 5, 14, 2, 20, 16), 'rate': 4, 'updated_at': datetime.datetime(2015, 3, 26, 6, 21, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3da48707-6ca7-41bc-a792-a9ca7a231be0', 'job_description': 'Extended human-resource benchmark', 'start_date': datetime.datetime(2015, 2, 6, 14, 37, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 15, 6, 45, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 16, 19, 38, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '922e4673-b315-4a00-b004-0900cfb820ef', 'end_date': datetime.datetime(2016, 12, 25, 17, 45, 4), 'start_time': datetime.datetime(2015, 6, 3, 11, 27, 57), 'rate': 5, 'updated_at': datetime.datetime(2018, 3, 17, 12, 55, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Peru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0c410914-a241-44d1-9b68-64127344fa96', 'job_description': 'Automated bi-directional methodology', 'start_date': datetime.datetime(2019, 6, 26, 3, 21, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 25, 5, 33, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 9, 10, 41, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '082ed18f-6852-4b21-984c-477ecb7a0c90', 'end_date': datetime.datetime(2013, 6, 21, 22, 37, 13), 'start_time': datetime.datetime(2013, 2, 20, 7, 0, 32), 'rate': 5, 'updated_at': datetime.datetime(2012, 3, 14, 3, 52, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bfd13759-155b-417f-baad-f80cde60ac5d', 'job_description': 'Ameliorated 3rd generation paradigm', 'start_date': datetime.datetime(2014, 11, 30, 9, 46, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 31, 12, 47, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 18, 7, 1, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '68b97131-5a29-4c83-a090-073393e42692', 'end_date': datetime.datetime(2013, 10, 28, 8, 59, 27), 'start_time': datetime.datetime(2012, 1, 14, 18, 37, 34), 'rate': 4, 'updated_at': datetime.datetime(2011, 6, 1, 17, 5, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': '272ac23c-dfb4-4c7d-ac45-615c126d41d2', 'job_description': 'Operative motivating success', 'start_date': datetime.datetime(2015, 1, 18, 0, 21, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 11, 5, 17, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 9, 0, 57, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b8ff9f4f-2c94-45b6-83fe-5cbbbded7969', 'end_date': datetime.datetime(2015, 6, 23, 12, 57, 4), 'start_time': datetime.datetime(2014, 5, 16, 21, 52, 13), 'rate': 2, 'updated_at': datetime.datetime(2010, 10, 15, 12, 29, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Isle of Man', 'special_note': 'thanks'}
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{'_id': '3801e734-1ee8-4ef3-8d5f-c45b6fb111af', 'job_description': 'Implemented optimizing contingency', 'start_date': datetime.datetime(2018, 5, 11, 1, 10, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 12, 20, 23, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 7, 19, 50, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c59ee3eb-0f8d-4a30-a4fb-91fda6a7b10c', 'end_date': datetime.datetime(2016, 3, 29, 20, 44, 27), 'start_time': datetime.datetime(2017, 11, 23, 2, 22, 9), 'rate': 1, 'updated_at': datetime.datetime(2014, 4, 12, 2, 32, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Tuvalu', 'special_note': 'thanks'}
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{'_id': '4c939f68-2642-423e-be94-762b335c2ee7', 'job_description': 'Public-key secondary knowledge user', 'start_date': datetime.datetime(2018, 3, 29, 8, 22, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 14, 12, 10, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 21, 5, 19, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44f88661-b82c-44e5-a2a4-fd23e2a6ff72', 'end_date': datetime.datetime(2016, 11, 16, 23, 40, 50), 'start_time': datetime.datetime(2012, 12, 14, 3, 33, 9), 'rate': 5, 'updated_at': datetime.datetime(2016, 4, 9, 8, 8, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
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{'_id': '1c1dd61a-515c-406f-9ba9-4adaa2b19137', 'job_description': 'Mandatory local superstructure', 'start_date': datetime.datetime(2014, 7, 22, 11, 9, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 16, 10, 43, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 17, 19, 22, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4664224d-3854-40bb-9bd4-5d6c4834e9e2', 'end_date': datetime.datetime(2018, 10, 13, 5, 17, 48), 'start_time': datetime.datetime(2019, 11, 4, 13, 19), 'rate': 5, 'updated_at': datetime.datetime(2013, 4, 7, 9, 37, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': '9fe30fda-da15-42b4-9ea0-555abb3d427c', 'job_description': 'Self-enabling bi-directional open system', 'start_date': datetime.datetime(2012, 8, 28, 16, 36, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 3, 10, 18, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 12, 1, 45, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea21ac43-aeaf-45b6-b205-878963629a98', 'end_date': datetime.datetime(2013, 6, 28, 5, 15, 24), 'start_time': datetime.datetime(2018, 3, 28, 1, 1, 42), 'rate': 5, 'updated_at': datetime.datetime(2019, 10, 21, 10, 33, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': 'c3ab5200-494d-4b1b-9afd-0e555e6a10de', 'job_description': 'Reduced methodical conglomeration', 'start_date': datetime.datetime(2014, 7, 10, 15, 4, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 9, 0, 6, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 23, 2, 41, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6df427e2-49f6-4689-82cb-810f9a1e06c9', 'end_date': datetime.datetime(2016, 9, 14, 19, 37, 8), 'start_time': datetime.datetime(2012, 2, 11, 21, 55, 53), 'rate': 1, 'updated_at': datetime.datetime(2014, 2, 23, 13, 2, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
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{'_id': '91ef0ce9-3670-4755-a8a9-2bb73387de4a', 'job_description': 'Realigned exuding artificial intelligence', 'start_date': datetime.datetime(2017, 2, 6, 10, 30, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 25, 19, 16, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 17, 15, 10, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c3ade9cc-a085-4b15-acb7-9952a5de1a61', 'end_date': datetime.datetime(2018, 5, 13, 18, 58, 58), 'start_time': datetime.datetime(2016, 2, 22, 12, 6, 11), 'rate': 4, 'updated_at': datetime.datetime(2011, 9, 8, 21, 51, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': '5974f394-53c2-48bc-a358-a3f300e2938a', 'job_description': 'Robust non-volatile productivity', 'start_date': datetime.datetime(2015, 4, 23, 5, 16, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 5, 16, 49, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 10, 13, 25, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '16a4307e-0d86-410b-a32c-ab873804fcb5', 'end_date': datetime.datetime(2010, 9, 21, 12, 7, 13), 'start_time': datetime.datetime(2012, 7, 14, 19, 46, 43), 'rate': 4, 'updated_at': datetime.datetime(2014, 6, 3, 2, 45, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
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{'_id': '1e9e8536-eb96-4842-8d69-1510f487f1f8', 'job_description': 'Re-contextualized multi-state parallelism', 'start_date': datetime.datetime(2012, 9, 1, 4, 55, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 5, 23, 29, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 9, 11, 24, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '915f0b77-a275-46f2-8eac-aa9868ecd6d7', 'end_date': datetime.datetime(2016, 7, 4, 17, 9, 32), 'start_time': datetime.datetime(2017, 6, 17, 4, 57, 6), 'rate': 3, 'updated_at': datetime.datetime(2016, 5, 26, 13, 3, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Montserrat', 'special_note': 'thanks'}
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{'_id': 'c74ca3cb-5f05-4a24-82be-480071efb3ec', 'job_description': 'Polarised logistical moratorium', 'start_date': datetime.datetime(2018, 9, 3, 14, 18, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 30, 9, 47, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 19, 16, 54, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eab27429-e12a-4caa-8cd7-239d00f2a100', 'end_date': datetime.datetime(2016, 9, 12, 6, 31, 27), 'start_time': datetime.datetime(2010, 9, 14, 5, 45, 38), 'rate': 3, 'updated_at': datetime.datetime(2011, 5, 7, 16, 39, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '6945a3fe-ae02-4064-8f61-26979aab504b', 'job_description': 'Cross-platform fresh-thinking archive', 'start_date': datetime.datetime(2014, 4, 25, 15, 55, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 10, 13, 10, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 17, 18, 4, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0e63b6af-bf90-43f6-adcf-074b205a2276', 'end_date': datetime.datetime(2012, 7, 17, 16, 8, 24), 'start_time': datetime.datetime(2010, 2, 1, 15, 10, 35), 'rate': 4, 'updated_at': datetime.datetime(2016, 10, 7, 21, 15, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
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{'_id': '63cd1944-5c50-44f5-93dd-3930201d16c4', 'job_description': 'Implemented bandwidth-monitored info-mediaries', 'start_date': datetime.datetime(2018, 8, 13, 10, 55, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 1, 16, 52, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 17, 12, 10, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '50aee68a-8175-4ac3-a27d-965533117dac', 'end_date': datetime.datetime(2015, 10, 24, 18, 10, 37), 'start_time': datetime.datetime(2016, 10, 25, 8, 36, 6), 'rate': 2, 'updated_at': datetime.datetime(2012, 12, 19, 16, 8, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
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{'_id': '92178b04-9b99-4ba6-92dc-8aebe56c0e0c', 'job_description': 'Progressive motivating Graphic Interface', 'start_date': datetime.datetime(2010, 12, 28, 22, 51, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 20, 8, 49, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 28, 21, 43, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2fb80548-69fa-4e94-bcc6-0a9ec178a629', 'end_date': datetime.datetime(2014, 11, 26, 11, 23, 24), 'start_time': datetime.datetime(2019, 6, 10, 0, 10, 14), 'rate': 3, 'updated_at': datetime.datetime(2010, 1, 24, 4, 49, 47), 'job_title': 'CoffeeMaker', 'service_id': 'New Caledonia', 'special_note': 'thanks'}
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{'_id': '2696c718-b8be-434f-82ea-bc2ac03ca094', 'job_description': 'Implemented client-driven application', 'start_date': datetime.datetime(2014, 9, 17, 15, 24, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 4, 13, 58, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 13, 6, 40, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9b456001-3532-49f0-9f0a-d6e9ee3b1ad8', 'end_date': datetime.datetime(2010, 1, 17, 18, 29, 53), 'start_time': datetime.datetime(2011, 9, 7, 7, 39, 43), 'rate': 5, 'updated_at': datetime.datetime(2013, 7, 27, 18, 19, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
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{'_id': 'e69d667a-9dd6-434f-8bc4-36b9198a3cbf', 'job_description': 'Fundamental dynamic strategy', 'start_date': datetime.datetime(2018, 1, 22, 3, 24, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 25, 22, 5, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 10, 17, 59, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83cf840d-184e-479b-a6af-d333ab9ed2c8', 'end_date': datetime.datetime(2018, 8, 6, 13, 23, 41), 'start_time': datetime.datetime(2017, 12, 30, 7, 26, 59), 'rate': 2, 'updated_at': datetime.datetime(2014, 3, 19, 14, 44, 24), 'job_title': 'CoffeeMaker', 'service_id': 'India', 'special_note': 'thanks'}
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{'_id': '48b21a31-014e-46a8-b122-cbadf9a0c77b', 'job_description': 'Secured maximized help-desk', 'start_date': datetime.datetime(2016, 6, 13, 4, 50, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 24, 15, 18, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 9, 3, 57, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2c224cf6-2f4c-48e8-99ab-6cfc1532b435', 'end_date': datetime.datetime(2011, 7, 27, 15, 26, 54), 'start_time': datetime.datetime(2016, 8, 26, 13, 34, 23), 'rate': 5, 'updated_at': datetime.datetime(2011, 3, 6, 1, 48, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
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{'_id': '76dd4929-bdd3-45bc-9028-a93d0858f068', 'job_description': 'Compatible directional toolset', 'start_date': datetime.datetime(2010, 5, 2, 11, 57, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 6, 2, 14, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 12, 7, 44, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb1e3568-b731-4946-9ea2-16f31c714d3a', 'end_date': datetime.datetime(2013, 1, 20, 9, 28, 27), 'start_time': datetime.datetime(2017, 7, 3, 9, 41, 43), 'rate': 1, 'updated_at': datetime.datetime(2011, 7, 17, 20, 23, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Puerto Rico', 'special_note': 'thanks'}
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{'_id': '73dc9baa-a3c9-4c3d-8783-88475b6cff6b', 'job_description': 'Open-source high-level installation', 'start_date': datetime.datetime(2016, 11, 3, 23, 8, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 6, 15, 18, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 18, 23, 32, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '80616804-896f-4586-a86a-856374c920be', 'end_date': datetime.datetime(2015, 9, 24, 8, 44, 31), 'start_time': datetime.datetime(2017, 5, 30, 1, 53, 39), 'rate': 3, 'updated_at': datetime.datetime(2016, 3, 22, 3, 4, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': 'f3017fe1-339d-458f-a4f5-19e4f38731bc', 'job_description': 'Future-proofed tangible knowledge user', 'start_date': datetime.datetime(2012, 2, 24, 11, 29, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 11, 12, 47, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 30, 4, 52, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9e2f358b-a3b1-484f-836f-be7ff9541afb', 'end_date': datetime.datetime(2016, 7, 24, 5, 33, 19), 'start_time': datetime.datetime(2018, 10, 11, 3, 53, 7), 'rate': 3, 'updated_at': datetime.datetime(2015, 6, 7, 8, 31, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
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{'_id': '8d08e245-9f77-4752-b455-480d0dc59060', 'job_description': 'Operative heuristic synergy', 'start_date': datetime.datetime(2015, 8, 2, 18, 11, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 19, 10, 13, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 1, 4, 27, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0794ec13-cce6-4b6d-9519-2b2a84bbc0da', 'end_date': datetime.datetime(2017, 7, 14, 15, 10, 38), 'start_time': datetime.datetime(2015, 1, 1, 4, 27, 47), 'rate': 3, 'updated_at': datetime.datetime(2014, 2, 27, 11, 12, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': '1ebd3c92-2d40-4418-8746-6d7c2418ed61', 'job_description': 'Vision-oriented impactful leverage', 'start_date': datetime.datetime(2012, 1, 24, 20, 13, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 7, 6, 2, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 16, 4, 7, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a262a87a-acc5-4a82-b9c6-57425399813c', 'end_date': datetime.datetime(2011, 10, 21, 8, 19, 47), 'start_time': datetime.datetime(2011, 5, 12, 22, 35, 17), 'rate': 4, 'updated_at': datetime.datetime(2015, 8, 20, 21, 24, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0e8fde2a-e577-42ab-a45d-6a89f9fa0333', 'job_description': 'Phased leading edge info-mediaries', 'start_date': datetime.datetime(2014, 1, 16, 18, 45, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 10, 17, 56, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 25, 3, 32, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a0a3b62f-f648-4788-9cac-d74b6a0123c6', 'end_date': datetime.datetime(2014, 7, 9, 20, 41), 'start_time': datetime.datetime(2013, 1, 27, 18, 55, 43), 'rate': 4, 'updated_at': datetime.datetime(2012, 7, 7, 23, 9, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
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{'_id': '0e0e9273-4920-4049-acab-9ced17b1d7a7', 'job_description': 'Pre-emptive impactful workforce', 'start_date': datetime.datetime(2015, 7, 19, 10, 25, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 28, 11, 24, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 6, 2, 45, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e49e5590-7305-4ea9-898e-034a3d3ef62b', 'end_date': datetime.datetime(2015, 7, 1, 6, 47, 39), 'start_time': datetime.datetime(2017, 1, 2, 4, 0, 53), 'rate': 4, 'updated_at': datetime.datetime(2014, 1, 13, 8, 19, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '3203d4d6-0e79-4e6d-9681-8ad65345e90b', 'job_description': 'Proactive discrete benchmark', 'start_date': datetime.datetime(2015, 5, 24, 5, 19, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 19, 2, 32, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 24, 6, 15, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2ab656a6-7fdb-40e6-bbdd-fcd8d9282eff', 'end_date': datetime.datetime(2019, 2, 27, 22, 47, 50), 'start_time': datetime.datetime(2018, 2, 27, 5, 35, 2), 'rate': 2, 'updated_at': datetime.datetime(2015, 1, 28, 20, 29, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f391a470-1c91-4764-8854-167442819a7d', 'job_description': 'Object-based holistic collaboration', 'start_date': datetime.datetime(2018, 4, 15, 15, 18, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 1, 3, 43, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 14, 23, 43, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '89d5df46-3f17-4c67-a484-3dd0d06bd50e', 'end_date': datetime.datetime(2013, 6, 15, 7, 27, 8), 'start_time': datetime.datetime(2014, 11, 20, 18, 53, 17), 'rate': 3, 'updated_at': datetime.datetime(2011, 6, 8, 8, 20, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd38740aa-515d-4fdf-8b18-754336ca8ef7', 'job_description': 'Versatile even-keeled help-desk', 'start_date': datetime.datetime(2019, 6, 12, 22, 30, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 22, 0, 0, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 7, 5, 13, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '23494412-c1b8-4944-b489-34e89a192ffd', 'end_date': datetime.datetime(2010, 7, 10, 10, 13, 30), 'start_time': datetime.datetime(2019, 1, 21, 8, 11, 11), 'rate': 4, 'updated_at': datetime.datetime(2013, 12, 2, 3, 27, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cdad7d96-572e-478d-a393-c131f46cabb3', 'job_description': 'Compatible 24/7 adapter', 'start_date': datetime.datetime(2017, 8, 24, 8, 1, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 28, 12, 1, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 11, 5, 48, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f48759c6-6629-44ea-bec1-9617ed0fd3f9', 'end_date': datetime.datetime(2014, 4, 12, 2, 12), 'start_time': datetime.datetime(2018, 5, 6, 20, 13, 37), 'rate': 3, 'updated_at': datetime.datetime(2014, 7, 29, 2, 43, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9554b167-1c3c-48a9-b02c-7c8ce2d0bc81', 'job_description': 'Re-engineered interactive matrix', 'start_date': datetime.datetime(2012, 12, 17, 21, 17, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 4, 12, 24, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 24, 7, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1326c030-40b4-422b-82b6-f3754c870356', 'end_date': datetime.datetime(2016, 12, 28, 16, 18, 4), 'start_time': datetime.datetime(2012, 11, 11, 15, 39, 32), 'rate': 2, 'updated_at': datetime.datetime(2014, 12, 22, 2, 50, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '09df5fda-6903-4941-baa5-7592744587f5', 'job_description': 'Configurable assymetric open architecture', 'start_date': datetime.datetime(2012, 8, 6, 14, 19, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 29, 18, 55, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 25, 17, 50, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9af7a7c2-fe58-4111-acf5-1e1a9310911d', 'end_date': datetime.datetime(2010, 7, 2, 16, 19, 54), 'start_time': datetime.datetime(2011, 11, 3, 22, 57, 18), 'rate': 2, 'updated_at': datetime.datetime(2014, 11, 21, 10, 15, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Antarctica (the territory South of 60 deg S)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5cf5aef8-c32b-4e39-aa5a-70148e18a9d4', 'job_description': 'Advanced system-worthy firmware', 'start_date': datetime.datetime(2016, 7, 15, 10, 53, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 20, 4, 33, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 1, 9, 5, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b3f02447-fba7-4e72-8940-f32d7a42ebec', 'end_date': datetime.datetime(2013, 3, 26, 9, 11, 19), 'start_time': datetime.datetime(2013, 2, 28, 8, 56, 10), 'rate': 1, 'updated_at': datetime.datetime(2017, 1, 7, 8, 29, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '03b71202-2f61-4260-af9b-a648108eb971', 'job_description': 'Multi-tiered systematic data-warehouse', 'start_date': datetime.datetime(2018, 12, 5, 15, 20, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 30, 1, 22, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 26, 18, 47, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ca196ca-323f-4c62-88de-9343e2006b62', 'end_date': datetime.datetime(2016, 8, 12, 3, 39, 16), 'start_time': datetime.datetime(2012, 5, 15, 13, 32, 48), 'rate': 1, 'updated_at': datetime.datetime(2012, 5, 1, 21, 9, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '465d8039-c478-4354-bfa2-05182f2612e3', 'job_description': 'Synergistic foreground implementation', 'start_date': datetime.datetime(2010, 9, 9, 8, 52, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 9, 4, 54, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 11, 11, 25, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '52c60776-1907-4e55-baba-e624d999dbea', 'end_date': datetime.datetime(2014, 10, 29, 15, 41, 22), 'start_time': datetime.datetime(2010, 5, 14, 9, 14, 48), 'rate': 5, 'updated_at': datetime.datetime(2010, 12, 30, 3, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81863c18-07fe-44e0-b04a-a4a9dcafda31', 'job_description': 'Ergonomic reciprocal matrix', 'start_date': datetime.datetime(2017, 1, 24, 11, 14, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 19, 5, 25, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 5, 23, 13, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24856fe4-c9d3-4053-97d8-6a48df959ce5', 'end_date': datetime.datetime(2011, 8, 25, 8, 57, 27), 'start_time': datetime.datetime(2014, 7, 14, 6, 40, 22), 'rate': 5, 'updated_at': datetime.datetime(2019, 5, 2, 22, 56, 9), 'job_title': 'CoffeeMaker', 'service_id': 'South Africa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4c527eb4-04ef-4cce-b0f1-bec5e79c0cd7', 'job_description': 'Enterprise-wide responsive orchestration', 'start_date': datetime.datetime(2014, 7, 25, 12, 41, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 27, 15, 58, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 4, 5, 0, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af0c3cd4-2271-4a43-aaa7-b2b3fcba1125', 'end_date': datetime.datetime(2010, 11, 4, 6, 40, 41), 'start_time': datetime.datetime(2015, 5, 27, 22, 42, 14), 'rate': 1, 'updated_at': datetime.datetime(2010, 10, 23, 21, 35, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9676e9f7-67d4-4487-9930-6962bd293db4', 'job_description': 'Multi-layered context-sensitive policy', 'start_date': datetime.datetime(2018, 12, 29, 12, 37, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 29, 4, 52, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 4, 19, 37, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '11d5a84f-77d2-4a78-add3-4957dcda911c', 'end_date': datetime.datetime(2017, 11, 7, 17, 26, 26), 'start_time': datetime.datetime(2019, 2, 2, 0, 8, 31), 'rate': 5, 'updated_at': datetime.datetime(2012, 3, 11, 20, 25, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9d556fd6-f0db-4679-88c7-16133fb6c3b2', 'job_description': 'Managed object-oriented firmware', 'start_date': datetime.datetime(2015, 10, 4, 23, 14, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 27, 15, 40, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 6, 12, 5, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9209e152-76d6-4310-a2ef-dff272b2240e', 'end_date': datetime.datetime(2014, 3, 2, 3, 37, 23), 'start_time': datetime.datetime(2014, 4, 3, 8, 10, 48), 'rate': 2, 'updated_at': datetime.datetime(2012, 12, 7, 2, 34, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a5748e4f-98de-457b-b7bf-12110ab451a0', 'job_description': 'Focused mobile moratorium', 'start_date': datetime.datetime(2015, 2, 11, 21, 55, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 11, 1, 21, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 24, 2, 56, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '07e0c84d-4647-438e-9b2c-59692cb0128b', 'end_date': datetime.datetime(2010, 12, 4, 17, 33, 53), 'start_time': datetime.datetime(2017, 10, 16, 16, 41, 35), 'rate': 1, 'updated_at': datetime.datetime(2019, 2, 26, 15, 18, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a2113902-1692-458f-86a7-8016d3447941', 'job_description': 'User-centric multi-state open system', 'start_date': datetime.datetime(2010, 12, 18, 6, 57, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 8, 22, 25, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 24, 21, 31, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f77e2fc8-00a4-4856-8ca7-3bb32c9096d7', 'end_date': datetime.datetime(2011, 8, 16, 3, 50, 17), 'start_time': datetime.datetime(2017, 3, 5, 18, 5, 5), 'rate': 3, 'updated_at': datetime.datetime(2015, 7, 26, 3, 16, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0cdffe43-5683-404b-8654-187534488a88', 'job_description': 'Cloned interactive collaboration', 'start_date': datetime.datetime(2018, 7, 19, 20, 2, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 5, 5, 38, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 31, 22, 32, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '29c41d90-fc46-4970-9ca6-dd2f2cdbd3f4', 'end_date': datetime.datetime(2017, 9, 14, 15, 8, 37), 'start_time': datetime.datetime(2017, 7, 20, 23, 10, 43), 'rate': 5, 'updated_at': datetime.datetime(2014, 12, 10, 23, 24, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c6e84a3-7bf3-47d5-92ac-173b1a303dc5', 'job_description': 'Multi-lateral discrete knowledge base', 'start_date': datetime.datetime(2014, 6, 25, 11, 29, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 13, 0, 55, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 8, 3, 4, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '706c43c6-e74a-4ae2-9c3c-0362058d7cc5', 'end_date': datetime.datetime(2015, 2, 10, 6, 20), 'start_time': datetime.datetime(2016, 1, 22, 4, 28, 27), 'rate': 2, 'updated_at': datetime.datetime(2017, 9, 5, 2, 14, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '32574a8d-ff07-4763-ab96-4b49ddc677ac', 'job_description': 'Automated next generation moratorium', 'start_date': datetime.datetime(2015, 1, 15, 11, 38, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 26, 9, 28, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 2, 13, 58, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a6d517ca-d5a0-4ff0-9935-a0daadbc2d9b', 'end_date': datetime.datetime(2013, 1, 13, 2, 14, 12), 'start_time': datetime.datetime(2018, 2, 28, 22, 11, 32), 'rate': 1, 'updated_at': datetime.datetime(2014, 6, 12, 19, 5, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6609b5ea-6f4b-44f5-bea1-50b2c9d23e52', 'job_description': 'Devolved interactive policy', 'start_date': datetime.datetime(2011, 11, 30, 6, 22, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 30, 20, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 14, 19, 46, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8de53e02-ad02-4443-9a98-60b2ee84d83c', 'end_date': datetime.datetime(2019, 3, 20, 6, 11, 6), 'start_time': datetime.datetime(2019, 6, 10, 19, 0, 13), 'rate': 2, 'updated_at': datetime.datetime(2015, 4, 5, 20, 14, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8420ca12-fe62-4fea-bbba-2e17d431309c', 'job_description': 'Ameliorated bifurcated data-warehouse', 'start_date': datetime.datetime(2013, 5, 4, 4, 48, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 13, 11, 7, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 7, 11, 16, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0dfac64-0a7d-4ad6-a04b-7d0235633729', 'end_date': datetime.datetime(2015, 8, 22, 8, 10, 47), 'start_time': datetime.datetime(2016, 4, 26, 20, 45, 1), 'rate': 2, 'updated_at': datetime.datetime(2016, 5, 4, 10, 23, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '33ee4808-114b-4b0f-a67a-f5c41b177cca', 'job_description': 'Decentralized reciprocal matrix', 'start_date': datetime.datetime(2019, 4, 27, 12, 35, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 19, 2, 7, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 27, 6, 52, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2ee39534-34cf-4f32-af10-428f128144a7', 'end_date': datetime.datetime(2012, 2, 21, 16, 42, 29), 'start_time': datetime.datetime(2014, 4, 24, 13, 39, 57), 'rate': 4, 'updated_at': datetime.datetime(2014, 1, 17, 6, 34, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aa43166a-937a-4a38-b921-0d5df2015756', 'job_description': 'Digitized modular attitude', 'start_date': datetime.datetime(2010, 2, 20, 3, 17, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 13, 15, 51, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 7, 19, 53, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd8e7d535-4484-43cc-8309-aa23cb2d4d6f', 'end_date': datetime.datetime(2016, 11, 19, 1, 33, 56), 'start_time': datetime.datetime(2011, 1, 7, 8, 12, 28), 'rate': 3, 'updated_at': datetime.datetime(2018, 2, 13, 16, 41, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b223adf2-4a20-4968-9a09-34100c489c45', 'job_description': 'Proactive web-enabled pricing structure', 'start_date': datetime.datetime(2010, 12, 22, 19, 23, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 1, 5, 37, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 3, 10, 33, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a1a4ca9-5d60-40be-a962-b4b62f2de9e8', 'end_date': datetime.datetime(2015, 3, 25, 20, 2, 19), 'start_time': datetime.datetime(2015, 12, 2, 10, 4, 23), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 14, 13, 22, 8), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd1c57183-a5a2-4426-9463-9c6c1e189468', 'job_description': 'Business-focused tertiary superstructure', 'start_date': datetime.datetime(2017, 2, 16, 10, 52, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 16, 13, 22, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 22, 10, 7, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3d43e68a-2c88-413a-932b-1a1f9d363f35', 'end_date': datetime.datetime(2013, 4, 16, 5, 29, 19), 'start_time': datetime.datetime(2011, 10, 17, 10, 52, 43), 'rate': 4, 'updated_at': datetime.datetime(2017, 12, 10, 15, 51, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0003bdf0-f388-45d0-a254-595678ef0343', 'job_description': 'User-centric eco-centric local area network', 'start_date': datetime.datetime(2017, 5, 25, 18, 18, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 8, 18, 35, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 23, 19, 58, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '492ee648-a4db-46bb-833c-f7b6d846cfe4', 'end_date': datetime.datetime(2014, 3, 16, 15, 46, 46), 'start_time': datetime.datetime(2014, 5, 25, 7, 17, 11), 'rate': 5, 'updated_at': datetime.datetime(2015, 7, 27, 21, 26, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5602c0ee-eff1-4a2e-87f6-13177f6150f8', 'job_description': 'Re-engineered multi-state database', 'start_date': datetime.datetime(2013, 11, 2, 11, 16, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 3, 19, 2, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 5, 10, 57, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b29dc27e-b847-4416-9edb-a8e2c65974a4', 'end_date': datetime.datetime(2016, 10, 24, 11, 1, 8), 'start_time': datetime.datetime(2015, 11, 9, 13, 46, 51), 'rate': 1, 'updated_at': datetime.datetime(2016, 5, 9, 4, 15, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5a61c9af-92b4-42ef-be80-92a6f3894a79', 'job_description': 'Quality-focused scalable circuit', 'start_date': datetime.datetime(2018, 10, 25, 8, 13, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 7, 19, 18, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 20, 16, 15, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '87e4d1c0-6aee-4f5b-860a-0da2625e2a17', 'end_date': datetime.datetime(2019, 10, 20, 11, 15, 41), 'start_time': datetime.datetime(2010, 1, 10, 16, 45, 55), 'rate': 5, 'updated_at': datetime.datetime(2016, 5, 12, 4, 18, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a4525fec-2886-47b7-aac3-a98927e92346', 'job_description': 'Horizontal multi-tasking software', 'start_date': datetime.datetime(2018, 9, 15, 21, 15, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 12, 19, 34, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 25, 16, 46, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '582556fc-1bfc-4e76-b22a-33f30656792d', 'end_date': datetime.datetime(2015, 11, 14, 14, 53, 54), 'start_time': datetime.datetime(2010, 11, 22, 12, 36, 9), 'rate': 5, 'updated_at': datetime.datetime(2014, 6, 21, 14, 2, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Latvia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8b7a5ad6-32ea-455c-b3ec-0cecc3af34c6', 'job_description': 'Cross-platform holistic attitude', 'start_date': datetime.datetime(2019, 11, 3, 22, 5, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 14, 3, 37, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 11, 6, 8, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a9337dfb-a48a-4d7e-99a2-445999b3e9b2', 'end_date': datetime.datetime(2018, 10, 8, 4, 1, 44), 'start_time': datetime.datetime(2014, 5, 30, 14, 10, 30), 'rate': 5, 'updated_at': datetime.datetime(2015, 6, 11, 7, 0, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b2123386-1e68-402f-aca3-542303e9ad84', 'job_description': 'Robust neutral productivity', 'start_date': datetime.datetime(2012, 4, 12, 3, 37, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 26, 9, 35, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 8, 22, 55, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2125ce44-67c4-4e6a-8365-bfb6bcaab7bb', 'end_date': datetime.datetime(2013, 7, 14, 7, 9, 39), 'start_time': datetime.datetime(2011, 10, 22, 0, 42, 23), 'rate': 3, 'updated_at': datetime.datetime(2011, 12, 20, 10, 56, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '381fafcc-46f8-43b7-9507-aa6f72720ca9', 'job_description': 'Robust maximized extranet', 'start_date': datetime.datetime(2014, 9, 21, 8, 49, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 2, 8, 2, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 2, 14, 19, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d911384-576b-424b-90c2-398ab639daa9', 'end_date': datetime.datetime(2010, 6, 19, 13, 44, 35), 'start_time': datetime.datetime(2011, 5, 8, 13, 12, 22), 'rate': 2, 'updated_at': datetime.datetime(2016, 11, 8, 18, 29, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '784a95f7-ce8a-4029-a39a-a8da7c823b35', 'job_description': 'Future-proofed actuating methodology', 'start_date': datetime.datetime(2017, 10, 10, 19, 13, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 3, 1, 33, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 5, 17, 30, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'be3da8db-1d2b-4ab3-a500-23e603ed43a6', 'end_date': datetime.datetime(2012, 11, 7, 15, 41, 13), 'start_time': datetime.datetime(2012, 11, 29, 16, 34, 5), 'rate': 1, 'updated_at': datetime.datetime(2018, 5, 10, 9, 43, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8100f045-1c2e-45b7-8762-7e4e801610f2', 'job_description': 'Switchable scalable data-warehouse', 'start_date': datetime.datetime(2010, 11, 12, 14, 13, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 21, 1, 42, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 4, 1, 51, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2809ac35-743b-4242-af84-9633f4a74192', 'end_date': datetime.datetime(2011, 5, 22, 7, 0, 31), 'start_time': datetime.datetime(2014, 3, 10, 22, 49, 5), 'rate': 5, 'updated_at': datetime.datetime(2015, 11, 25, 10, 12, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Japan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8a62c2d2-a22e-460a-af23-8b374a187ffa', 'job_description': 'Polarised zero administration definition', 'start_date': datetime.datetime(2010, 7, 11, 6, 45, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 31, 5, 4, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 4, 23, 33, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e9968ab8-724a-44bf-8924-3299fefd0295', 'end_date': datetime.datetime(2010, 10, 18, 6, 9, 7), 'start_time': datetime.datetime(2017, 8, 19, 22, 53, 31), 'rate': 3, 'updated_at': datetime.datetime(2013, 4, 14, 17, 44, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0edd10c6-ec93-413d-89a2-26c5bde5c24f', 'job_description': 'Object-based heuristic superstructure', 'start_date': datetime.datetime(2012, 9, 11, 8, 38, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 22, 3, 9, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 14, 3, 58, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '89118e06-4dd6-4fa4-85cd-c4bf76cb63b6', 'end_date': datetime.datetime(2018, 10, 1, 10, 6, 43), 'start_time': datetime.datetime(2011, 7, 27, 12, 48, 33), 'rate': 4, 'updated_at': datetime.datetime(2016, 12, 7, 11, 50, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5c80e331-d7f2-4ea5-beac-fc6ad2b5979a', 'job_description': 'Multi-layered fault-tolerant benchmark', 'start_date': datetime.datetime(2010, 11, 9, 0, 59, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 20, 16, 48, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 20, 15, 2, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '414d2ffc-c31a-4f90-9af8-6eb8cce01295', 'end_date': datetime.datetime(2016, 2, 14, 10, 12, 6), 'start_time': datetime.datetime(2019, 6, 2, 3, 33, 10), 'rate': 2, 'updated_at': datetime.datetime(2016, 7, 26, 4, 0, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '796dbda0-7a36-4f7e-b77c-ebe418c51cea', 'job_description': 'Managed motivating solution', 'start_date': datetime.datetime(2017, 6, 17, 9, 36, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 5, 14, 16, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 15, 1, 17, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ce4dbe53-b22f-410a-bc54-5b8f1e41079a', 'end_date': datetime.datetime(2015, 7, 20, 8, 43, 8), 'start_time': datetime.datetime(2015, 9, 30, 22, 31, 25), 'rate': 1, 'updated_at': datetime.datetime(2019, 2, 8, 1, 30, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '52575c1d-ce83-46f7-9bce-1a52dbcabfce', 'job_description': 'Profound systematic internet solution', 'start_date': datetime.datetime(2013, 6, 27, 9, 50, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 10, 5, 17, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 11, 5, 11, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5696f69b-cafd-4d02-a1df-d502dd1b11de', 'end_date': datetime.datetime(2014, 12, 28, 3, 26, 27), 'start_time': datetime.datetime(2011, 2, 4, 16, 7, 32), 'rate': 5, 'updated_at': datetime.datetime(2015, 9, 12, 7, 59, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dd1b5b12-5b96-443d-b34f-b1f5508f463d', 'job_description': 'Integrated motivating forecast', 'start_date': datetime.datetime(2013, 5, 10, 16, 47, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 4, 11, 41, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 5, 15, 22, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8dace417-8283-4a78-a224-8970fe611205', 'end_date': datetime.datetime(2015, 1, 24, 5, 47, 28), 'start_time': datetime.datetime(2012, 9, 26, 19, 33, 59), 'rate': 4, 'updated_at': datetime.datetime(2018, 12, 18, 23, 58, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Indonesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '853747d7-1ac9-430a-b4f6-86f2bf19a382', 'job_description': 'Centralized bandwidth-monitored focus group', 'start_date': datetime.datetime(2016, 6, 22, 20, 44, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 13, 15, 44, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 19, 10, 37, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '52a5389f-6afa-42f8-b790-20a7830d2a65', 'end_date': datetime.datetime(2013, 6, 20, 6, 44, 14), 'start_time': datetime.datetime(2018, 12, 29, 0, 37, 2), 'rate': 2, 'updated_at': datetime.datetime(2011, 10, 25, 23, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Gambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '82caae30-c3bf-448b-9125-929feebd7a7b', 'job_description': 'Grass-roots actuating help-desk', 'start_date': datetime.datetime(2013, 11, 30, 11, 2, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 10, 0, 8, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 11, 13, 28, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5808a7f7-12d9-44a6-9cce-6840809fb395', 'end_date': datetime.datetime(2017, 6, 6, 17, 46, 11), 'start_time': datetime.datetime(2015, 11, 20, 20, 12, 38), 'rate': 4, 'updated_at': datetime.datetime(2017, 8, 13, 18, 49, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dd8bdbd5-8ff1-48da-a1b8-ce15a8c3c909', 'job_description': 'Self-enabling next generation groupware', 'start_date': datetime.datetime(2016, 10, 8, 14, 30, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 26, 16, 14, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 29, 2, 8, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '899826f8-7622-40a2-bd7e-4d8019085e2c', 'end_date': datetime.datetime(2012, 4, 24, 0, 15, 53), 'start_time': datetime.datetime(2013, 6, 5, 14, 3, 15), 'rate': 5, 'updated_at': datetime.datetime(2010, 9, 8, 0, 32, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '07d459d0-f720-4f51-b230-11cecc181a20', 'job_description': 'Synergistic intangible toolset', 'start_date': datetime.datetime(2014, 2, 18, 16, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 28, 1, 45, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 15, 15, 19, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '34c60350-7565-4f5b-b5de-e596b437e65a', 'end_date': datetime.datetime(2018, 7, 23, 10, 8, 16), 'start_time': datetime.datetime(2011, 7, 4, 12, 44, 56), 'rate': 4, 'updated_at': datetime.datetime(2015, 5, 14, 2, 43, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '09da38c9-44e2-4252-b0eb-f8a3aa316860', 'job_description': 'Phased 24/7 knowledge user', 'start_date': datetime.datetime(2010, 8, 19, 17, 29, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 6, 16, 55, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 5, 17, 29, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5319f42-ea4a-43fd-a83e-3e97e6717fab', 'end_date': datetime.datetime(2015, 1, 4, 15, 12, 51), 'start_time': datetime.datetime(2010, 10, 6, 10, 59, 21), 'rate': 2, 'updated_at': datetime.datetime(2016, 1, 8, 7, 21, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e0d7e834-f72a-43c8-a139-3bac766f5cf6', 'job_description': 'Synchronised motivating customer loyalty', 'start_date': datetime.datetime(2010, 2, 14, 3, 7, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 14, 0, 57, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 20, 7, 23, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c5b94908-85e5-424b-8d81-3d85b35c71f5', 'end_date': datetime.datetime(2016, 4, 1, 7, 13, 18), 'start_time': datetime.datetime(2014, 10, 3, 16, 30, 8), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 1, 19, 20, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0afb3795-b927-46b0-92b8-4fad309d7069', 'job_description': 'Optional client-server throughput', 'start_date': datetime.datetime(2018, 9, 1, 0, 58, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 30, 0, 39, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 24, 8, 50, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c3cd48a3-60f8-4f64-8c24-384045502d96', 'end_date': datetime.datetime(2014, 9, 27, 23, 41, 40), 'start_time': datetime.datetime(2010, 8, 10, 16, 13, 6), 'rate': 2, 'updated_at': datetime.datetime(2016, 1, 16, 17, 56, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9bfdc5a6-2859-4895-9271-b16717a48fef', 'job_description': 'Implemented executive application', 'start_date': datetime.datetime(2011, 3, 26, 9, 37, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 15, 23, 17, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 17, 13, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8c5be7a3-9635-40d3-bce5-2ad34777d59e', 'end_date': datetime.datetime(2019, 5, 24, 19, 38, 23), 'start_time': datetime.datetime(2014, 7, 12, 6, 6, 23), 'rate': 2, 'updated_at': datetime.datetime(2013, 11, 26, 23, 22, 34), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3505b605-156a-4eb3-a8f9-2c56d71bb71d', 'job_description': 'Open-architected well-modulated support', 'start_date': datetime.datetime(2017, 11, 16, 10, 49, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 5, 15, 25, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 28, 19, 42, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fa8824cf-3a3a-44d1-9953-8bd25902414a', 'end_date': datetime.datetime(2012, 11, 26, 23, 0, 27), 'start_time': datetime.datetime(2014, 5, 29, 0, 1, 34), 'rate': 3, 'updated_at': datetime.datetime(2018, 12, 28, 9, 56, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fce6cd9a-efed-472a-92f6-f75faf019ee5', 'job_description': 'Secured zero defect approach', 'start_date': datetime.datetime(2014, 6, 1, 13, 12, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 15, 12, 1, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 6, 3, 27, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dbd9d949-6516-4511-8cd2-0f48b262d40f', 'end_date': datetime.datetime(2016, 8, 23, 2, 40, 36), 'start_time': datetime.datetime(2011, 2, 18, 21, 13, 47), 'rate': 4, 'updated_at': datetime.datetime(2013, 12, 24, 23, 14, 18), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b2324233-0005-4b73-afac-dd39464f94c3', 'job_description': 'Synchronised bifurcated throughput', 'start_date': datetime.datetime(2010, 6, 29, 9, 15, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 6, 9, 13, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 15, 16, 44, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd15bc9b7-59ad-4fdf-b94a-a07037bc9061', 'end_date': datetime.datetime(2011, 2, 10, 16, 36, 22), 'start_time': datetime.datetime(2018, 11, 4, 3, 2, 42), 'rate': 5, 'updated_at': datetime.datetime(2011, 8, 14, 8, 6, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Andorra', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd71f2b53-2ce2-46b5-9e77-6bce9a820b19', 'job_description': 'Ergonomic explicit interface', 'start_date': datetime.datetime(2011, 8, 20, 13, 16, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 24, 20, 50, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 3, 12, 44, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4a4de5c6-b2ad-4d43-a81c-9c1b3a9ebea2', 'end_date': datetime.datetime(2017, 8, 6, 2, 43, 16), 'start_time': datetime.datetime(2014, 2, 10, 4, 16, 42), 'rate': 4, 'updated_at': datetime.datetime(2018, 1, 6, 21, 21, 34), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fe0a601b-5d87-4665-a050-2b3f323aaa21', 'job_description': 'Right-sized bi-directional customer loyalty', 'start_date': datetime.datetime(2017, 4, 28, 17, 17, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 21, 4, 2, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 11, 14, 2, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9dba8666-2c98-438c-aed2-e2b68bacfa13', 'end_date': datetime.datetime(2017, 1, 9, 8, 8, 7), 'start_time': datetime.datetime(2012, 3, 22, 10, 19, 54), 'rate': 5, 'updated_at': datetime.datetime(2017, 2, 17, 17, 43, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '091146ae-b601-4503-8760-05c48d6fd09a', 'job_description': 'Ergonomic non-volatile flexibility', 'start_date': datetime.datetime(2015, 7, 14, 3, 29, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 8, 0, 43, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 25, 9, 28, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8643576d-eed2-4687-928c-7b23e5dcee99', 'end_date': datetime.datetime(2015, 11, 14, 18, 28, 31), 'start_time': datetime.datetime(2016, 6, 1, 17, 37, 11), 'rate': 1, 'updated_at': datetime.datetime(2013, 3, 10, 0, 19, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bdd54680-8256-4434-bdf4-648fba12f658', 'job_description': 'Up-sized zero tolerance Graphic Interface', 'start_date': datetime.datetime(2019, 3, 16, 5, 0, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 18, 14, 26, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 28, 18, 21, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '172a0c06-713a-462c-a655-0e5061a04fa8', 'end_date': datetime.datetime(2014, 6, 26, 10, 53, 13), 'start_time': datetime.datetime(2017, 5, 28, 4, 40, 50), 'rate': 4, 'updated_at': datetime.datetime(2016, 6, 29, 23, 29, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b7f989e1-6d79-4316-865f-976583adf60d', 'job_description': 'Configurable 3rd generation policy', 'start_date': datetime.datetime(2011, 10, 17, 7, 2, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 7, 3, 8, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 27, 21, 39, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '81aed056-656c-44f9-ae74-187b8345627a', 'end_date': datetime.datetime(2014, 3, 31, 19, 26, 20), 'start_time': datetime.datetime(2017, 9, 24, 4, 14, 40), 'rate': 3, 'updated_at': datetime.datetime(2015, 10, 14, 6, 3, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Antigua and Barbuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0899b8ca-a635-454a-be12-30ca33121e1b', 'job_description': 'Sharable methodical info-mediaries', 'start_date': datetime.datetime(2016, 4, 26, 5, 12, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 5, 5, 50, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 7, 23, 10, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1edb0b26-582d-4da9-a2af-788e183d94d4', 'end_date': datetime.datetime(2010, 6, 6, 22, 49, 30), 'start_time': datetime.datetime(2018, 12, 13, 2, 11, 38), 'rate': 4, 'updated_at': datetime.datetime(2012, 7, 4, 0, 33, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '15919ffb-205c-4d69-a208-6bff1a77b9d4', 'job_description': 'Open-architected assymetric moratorium', 'start_date': datetime.datetime(2014, 2, 1, 4, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 7, 9, 37, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 16, 1, 33, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '537b6fa0-1e2c-4f8e-9ea8-855496a5d282', 'end_date': datetime.datetime(2015, 8, 18, 6, 10, 17), 'start_time': datetime.datetime(2015, 7, 4, 18, 22, 20), 'rate': 4, 'updated_at': datetime.datetime(2012, 7, 12, 6, 24, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
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{'_id': 'c1ed7b90-1aa9-45ac-81c3-6204b2286210', 'job_description': 'Right-sized composite benchmark', 'start_date': datetime.datetime(2018, 10, 10, 3, 21, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 27, 23, 41, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 25, 14, 5, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc7bc860-9ea2-4d2e-8ea7-ab3549f0e552', 'end_date': datetime.datetime(2017, 11, 26, 3, 21, 9), 'start_time': datetime.datetime(2018, 1, 3, 8, 48, 16), 'rate': 3, 'updated_at': datetime.datetime(2010, 5, 17, 10, 32, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f28b645a-9fd7-4451-a054-05b7a9097926', 'job_description': 'Cross-platform actuating attitude', 'start_date': datetime.datetime(2018, 7, 28, 17, 29, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 17, 2, 33, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 16, 5, 37, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'debf8f8d-6a05-4dff-9ff9-98707169653c', 'end_date': datetime.datetime(2014, 9, 17, 13, 17, 9), 'start_time': datetime.datetime(2015, 10, 24, 14, 44, 3), 'rate': 4, 'updated_at': datetime.datetime(2011, 5, 7, 12, 50, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
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{'_id': '090a01c3-fafc-453d-8eb4-2e87fba61faa', 'job_description': 'Horizontal hybrid architecture', 'start_date': datetime.datetime(2018, 3, 25, 6, 51, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 6, 18, 46, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 6, 13, 18, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '040a1cbc-6a26-4cc8-8ed7-31c27a3682b8', 'end_date': datetime.datetime(2016, 6, 19, 20, 31, 5), 'start_time': datetime.datetime(2019, 3, 9, 23, 38, 1), 'rate': 4, 'updated_at': datetime.datetime(2012, 3, 23, 4, 18, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
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{'_id': '4718589f-6f01-4940-9454-c991e4e2eb42', 'job_description': 'Optimized needs-based matrices', 'start_date': datetime.datetime(2012, 5, 26, 16, 14, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 8, 4, 0, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 1, 11, 8, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6322e550-d287-429b-a8f6-8c056a59c4df', 'end_date': datetime.datetime(2013, 10, 14, 0, 39, 39), 'start_time': datetime.datetime(2019, 9, 12, 1, 39, 32), 'rate': 3, 'updated_at': datetime.datetime(2016, 10, 10, 8, 32, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3bfb9c2b-88b7-45e0-96af-0ec8d09e1c8d', 'job_description': 'Decentralized logistical interface', 'start_date': datetime.datetime(2017, 4, 24, 7, 29, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 29, 9, 51, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 18, 20, 3, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '02ddbce8-2ada-4964-9eb7-5f9b75f47f7d', 'end_date': datetime.datetime(2012, 7, 30, 0, 32, 35), 'start_time': datetime.datetime(2012, 5, 6, 9, 59, 36), 'rate': 4, 'updated_at': datetime.datetime(2017, 2, 11, 21, 48, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Afghanistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b5bcb6f7-16d2-49b0-9ad5-b910f9d9a98b', 'job_description': 'Automated optimal encoding', 'start_date': datetime.datetime(2017, 10, 18, 1, 21, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 10, 5, 39, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 26, 1, 25, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd1d66e3f-cb05-45f5-b742-5f189cca0e0c', 'end_date': datetime.datetime(2018, 1, 10, 7, 58, 54), 'start_time': datetime.datetime(2013, 6, 15, 9, 54, 17), 'rate': 4, 'updated_at': datetime.datetime(2019, 8, 20, 15, 15, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
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{'_id': 'd4578d8c-a1e8-48d6-956d-c8ce20ea04c2', 'job_description': 'Monitored context-sensitive success', 'start_date': datetime.datetime(2010, 10, 9, 14, 5, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 8, 22, 3, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 16, 1, 39, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a1430e6a-0941-4491-ae30-b9967711501c', 'end_date': datetime.datetime(2014, 11, 22, 23, 15, 8), 'start_time': datetime.datetime(2010, 2, 6, 2, 24, 8), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 3, 22, 40, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Liberia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b3410ef2-aa9e-4477-8a0d-1d36d7ffded9', 'job_description': 'Balanced assymetric productivity', 'start_date': datetime.datetime(2012, 7, 26, 1, 25, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 25, 18, 49, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 7, 20, 14, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5ad64fff-2102-45fa-99b5-badd64b64cd2', 'end_date': datetime.datetime(2018, 9, 1, 6, 27, 17), 'start_time': datetime.datetime(2013, 11, 19, 1, 50, 49), 'rate': 1, 'updated_at': datetime.datetime(2015, 12, 15, 18, 15, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0f87252f-e059-49ee-aa43-ef020c8821bc', 'job_description': 'Networked optimal middleware', 'start_date': datetime.datetime(2015, 2, 6, 15, 25, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 28, 7, 22, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 20, 11, 28, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7d002169-c589-477e-8e1b-28df9bf2dd9f', 'end_date': datetime.datetime(2018, 10, 14, 8, 13, 2), 'start_time': datetime.datetime(2017, 11, 12, 22, 1, 6), 'rate': 5, 'updated_at': datetime.datetime(2011, 7, 1, 8, 20, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '079153eb-ac33-470d-b7d8-84e7acbe0199', 'job_description': 'Switchable solution-oriented methodology', 'start_date': datetime.datetime(2010, 1, 18, 2, 57, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 7, 14, 37, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 26, 9, 32, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3bde1172-e613-4245-8c60-89d717deaf4b', 'end_date': datetime.datetime(2017, 7, 1, 16, 53, 37), 'start_time': datetime.datetime(2016, 12, 29, 0, 1, 15), 'rate': 3, 'updated_at': datetime.datetime(2015, 11, 20, 15, 45, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '42fc6c2c-ce79-4bd9-801d-09511c4ec2b1', 'job_description': 'Universal fresh-thinking conglomeration', 'start_date': datetime.datetime(2018, 8, 16, 14, 18, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 12, 16, 28, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 20, 9, 32, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '55bde012-102f-42a8-8312-b18316aae9b7', 'end_date': datetime.datetime(2016, 5, 9, 17, 33, 25), 'start_time': datetime.datetime(2011, 1, 5, 23, 28, 55), 'rate': 2, 'updated_at': datetime.datetime(2011, 5, 20, 12, 7, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd81aa67e-150b-459e-a641-041df02d6f81', 'job_description': 'Enterprise-wide assymetric protocol', 'start_date': datetime.datetime(2012, 3, 31, 9, 10, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 11, 12, 27, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 4, 23, 8, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7236917e-4607-48e2-9882-f42bb06043c9', 'end_date': datetime.datetime(2016, 12, 11, 0, 14, 19), 'start_time': datetime.datetime(2019, 9, 21, 5, 40, 59), 'rate': 1, 'updated_at': datetime.datetime(2017, 3, 5, 16, 24, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '87de53cc-3ebe-4e49-b76e-3daa7cf607c4', 'job_description': 'Synergistic explicit matrix', 'start_date': datetime.datetime(2017, 7, 10, 21, 34, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 20, 5, 57, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 22, 15, 16, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fe5debb8-7bdf-4c54-af96-1f450e8e1408', 'end_date': datetime.datetime(2012, 7, 3, 5, 35, 40), 'start_time': datetime.datetime(2014, 1, 16, 10, 38, 37), 'rate': 1, 'updated_at': datetime.datetime(2014, 2, 24, 12, 21, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Mozambique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'facdc14e-a294-426c-9d63-82c82baae856', 'job_description': 'Digitized local forecast', 'start_date': datetime.datetime(2013, 12, 7, 5, 6, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 27, 16, 10, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 12, 12, 54, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2cf60d51-bb0c-422f-a1c2-b6109a2ab427', 'end_date': datetime.datetime(2011, 7, 18, 21, 6, 7), 'start_time': datetime.datetime(2017, 4, 3, 0, 14, 47), 'rate': 3, 'updated_at': datetime.datetime(2012, 3, 2, 9, 45, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '695fc753-c591-4e69-861d-f41a31d95374', 'job_description': 'Implemented empowering intranet', 'start_date': datetime.datetime(2015, 8, 18, 21, 25, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 23, 4, 22, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 28, 1, 23, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c0f0ea81-a071-401b-8cd9-0dfc59d05e38', 'end_date': datetime.datetime(2013, 9, 5, 16, 25, 37), 'start_time': datetime.datetime(2017, 10, 5, 20, 51, 36), 'rate': 4, 'updated_at': datetime.datetime(2016, 2, 4, 0, 8, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '03ffbd34-89f6-4150-bfa7-f8bcc4ce189a', 'job_description': 'Object-based systemic initiative', 'start_date': datetime.datetime(2015, 6, 4, 7, 2, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 11, 8, 57, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 16, 17, 16, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ac11c76-a0a7-426e-9a51-d03cb96a33d1', 'end_date': datetime.datetime(2017, 8, 3, 23, 48, 39), 'start_time': datetime.datetime(2011, 5, 29, 2, 30, 5), 'rate': 3, 'updated_at': datetime.datetime(2010, 10, 22, 23, 28, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'df34e6ee-34c4-4c31-b8ea-05ca741248ea', 'job_description': 'Sharable grid-enabled methodology', 'start_date': datetime.datetime(2016, 3, 6, 22, 52, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 22, 9, 29, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 12, 13, 51, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'df13de0e-5236-4661-ac44-04f073b67797', 'end_date': datetime.datetime(2017, 8, 31, 7, 55, 43), 'start_time': datetime.datetime(2016, 11, 7, 6, 28, 43), 'rate': 5, 'updated_at': datetime.datetime(2018, 9, 23, 14, 55, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '11f3b9c4-3212-4019-af83-367fcda57bed', 'job_description': 'Distributed system-worthy challenge', 'start_date': datetime.datetime(2016, 12, 29, 3, 42, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 14, 22, 58, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 12, 16, 14, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b2079b2c-1ed9-497c-a618-66df9744aaa9', 'end_date': datetime.datetime(2015, 9, 8, 8, 26, 13), 'start_time': datetime.datetime(2014, 6, 14, 18, 57, 37), 'rate': 4, 'updated_at': datetime.datetime(2015, 12, 17, 1, 49, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd4ef793a-37c4-4c27-b872-f824d3ea363f', 'job_description': 'Advanced reciprocal productivity', 'start_date': datetime.datetime(2016, 11, 8, 11, 23, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 3, 9, 43, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 25, 15, 30, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '499dab92-339a-4d8d-9e18-5614b4d9e667', 'end_date': datetime.datetime(2015, 5, 9, 2, 33), 'start_time': datetime.datetime(2014, 10, 30, 6, 18, 4), 'rate': 4, 'updated_at': datetime.datetime(2018, 6, 23, 21, 30, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '862300d9-5a4e-4047-8bac-438f64ec2c0d', 'job_description': 'Down-sized zero administration implementation', 'start_date': datetime.datetime(2017, 3, 21, 2, 3, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 3, 22, 24, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 12, 10, 3, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd1763537-bce4-463c-83da-8d7660027bb9', 'end_date': datetime.datetime(2018, 3, 13, 1, 31, 12), 'start_time': datetime.datetime(2019, 11, 23, 15, 1, 19), 'rate': 3, 'updated_at': datetime.datetime(2019, 3, 7, 16, 40, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2488e86a-3f56-49f8-93d8-4250ae9b78a3', 'job_description': 'Cross-platform stable conglomeration', 'start_date': datetime.datetime(2014, 10, 26, 0, 36, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 2, 17, 9, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 27, 6, 52, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ec9d55b-033b-47fb-a919-6b978f8da4b1', 'end_date': datetime.datetime(2017, 12, 10, 6, 49, 39), 'start_time': datetime.datetime(2013, 6, 18, 0, 25, 7), 'rate': 3, 'updated_at': datetime.datetime(2011, 7, 10, 8, 12, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dca1e89c-6b3d-42f4-851e-ff1531b4fe29', 'job_description': 'Cross-group zero tolerance throughput', 'start_date': datetime.datetime(2015, 9, 8, 15, 4, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 15, 6, 2, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 2, 4, 36, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '47c231d7-dc42-46ae-b207-e3df1386ec7e', 'end_date': datetime.datetime(2011, 3, 26, 23, 24, 3), 'start_time': datetime.datetime(2012, 12, 16, 6, 58, 5), 'rate': 5, 'updated_at': datetime.datetime(2019, 9, 14, 2, 13, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '124ab5d7-85c7-45d8-9cfe-8da0545c17e9', 'job_description': 'Sharable modular open architecture', 'start_date': datetime.datetime(2013, 7, 12, 17, 59, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 17, 16, 50, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 12, 14, 36, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1cbeadab-2437-477b-9135-52cb66e0eedc', 'end_date': datetime.datetime(2019, 9, 21, 5, 47, 26), 'start_time': datetime.datetime(2010, 12, 12, 11, 25, 15), 'rate': 4, 'updated_at': datetime.datetime(2017, 11, 11, 3, 15, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Bhutan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fc9ff4b5-9070-4437-afc5-035d3141fcce', 'job_description': 'Robust client-server emulation', 'start_date': datetime.datetime(2012, 1, 5, 11, 25, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 16, 11, 50, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 20, 17, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8ebac339-9556-4742-9421-cc79ce574238', 'end_date': datetime.datetime(2019, 6, 11, 2, 42, 18), 'start_time': datetime.datetime(2013, 12, 25, 23, 49), 'rate': 4, 'updated_at': datetime.datetime(2013, 4, 16, 23, 43, 47), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0ce1cb6e-2d7b-49db-a46b-f1572c1fa75d', 'job_description': 'Universal solution-oriented protocol', 'start_date': datetime.datetime(2018, 6, 12, 8, 47, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 16, 11, 43, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 8, 23, 5, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5ece760-525e-4b80-9668-4c2b8478b797', 'end_date': datetime.datetime(2011, 3, 13, 13, 1, 41), 'start_time': datetime.datetime(2013, 1, 4, 8, 1, 59), 'rate': 3, 'updated_at': datetime.datetime(2018, 5, 30, 18, 25, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8a873f3-1362-4b62-9356-686ad55da9c8', 'job_description': 'Realigned executive productivity', 'start_date': datetime.datetime(2017, 4, 5, 23, 45, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 17, 22, 42, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 7, 23, 25, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24262998-fc7a-403d-b1f2-98f503c8abb1', 'end_date': datetime.datetime(2012, 8, 17, 7, 46, 15), 'start_time': datetime.datetime(2019, 1, 25, 5, 44, 22), 'rate': 5, 'updated_at': datetime.datetime(2016, 6, 23, 4, 36, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
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{'_id': '24b64b7b-d32d-4fea-8ef8-77f6297b66c3', 'job_description': 'Team-oriented needs-based Graphic Interface', 'start_date': datetime.datetime(2013, 6, 13, 9, 30, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 15, 13, 42, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 30, 16, 21, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '88ac7b2a-9bf0-4de2-9617-0460a53945fa', 'end_date': datetime.datetime(2014, 9, 23, 20, 36, 8), 'start_time': datetime.datetime(2015, 3, 4, 10, 35, 6), 'rate': 4, 'updated_at': datetime.datetime(2011, 6, 24, 3, 50, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
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{'_id': 'bca55257-3d3a-4409-9ca1-cd217905aa42', 'job_description': 'Cross-platform asynchronous open system', 'start_date': datetime.datetime(2012, 10, 24, 18, 35, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 17, 21, 39, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 4, 20, 55, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a4c88a6-4814-46ed-97c4-0ad48bf766a0', 'end_date': datetime.datetime(2015, 4, 25, 14, 43, 50), 'start_time': datetime.datetime(2018, 5, 18, 5, 59, 33), 'rate': 1, 'updated_at': datetime.datetime(2018, 10, 31, 12, 57, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': 'a3fca02d-93de-46dd-8953-f976ab57a791', 'job_description': 'Business-focused bottom-line standardization', 'start_date': datetime.datetime(2017, 4, 19, 21, 55, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 6, 4, 16, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 10, 23, 6, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3aed5ac3-6455-4286-8f8b-21bcfb5b5636', 'end_date': datetime.datetime(2011, 10, 23, 17, 40, 24), 'start_time': datetime.datetime(2012, 9, 14, 10, 23, 24), 'rate': 1, 'updated_at': datetime.datetime(2017, 12, 19, 20, 31, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Jersey', 'special_note': 'thanks'}
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{'_id': '593224ca-7166-4c5a-9d59-b67c86853004', 'job_description': 'Monitored zero defect superstructure', 'start_date': datetime.datetime(2012, 9, 4, 2, 55, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 7, 1, 58, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 12, 13, 1, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '576ad719-16da-4697-8a25-27540df16a34', 'end_date': datetime.datetime(2019, 10, 7, 7, 27, 46), 'start_time': datetime.datetime(2018, 9, 30, 7, 52, 17), 'rate': 5, 'updated_at': datetime.datetime(2017, 10, 1, 10, 41, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Netherlands', 'special_note': 'thanks'}
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{'_id': 'bc237811-dc4c-400c-8fea-d8d62107fa4a', 'job_description': 'Focused optimal success', 'start_date': datetime.datetime(2011, 12, 25, 14, 10, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 27, 10, 19, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 16, 2, 27, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9ac057e-aa2e-46c0-bdf1-2fd73c319f63', 'end_date': datetime.datetime(2016, 4, 16, 13, 28, 16), 'start_time': datetime.datetime(2018, 12, 3, 11, 15, 3), 'rate': 1, 'updated_at': datetime.datetime(2014, 4, 5, 4, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
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{'_id': 'd77da4e9-8649-4ebd-8b0a-f8cd91a5bd91', 'job_description': 'Cross-group mission-critical standardization', 'start_date': datetime.datetime(2015, 6, 12, 11, 57, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 13, 3, 47, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 28, 5, 14, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '644ed62c-6284-426f-8b3f-89127f8a7244', 'end_date': datetime.datetime(2012, 4, 21, 5, 16, 31), 'start_time': datetime.datetime(2019, 8, 3, 16, 1, 35), 'rate': 5, 'updated_at': datetime.datetime(2011, 10, 13, 0, 30, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '0fb4d51a-6eaa-410b-a5c8-a29bf4e56efe', 'job_description': 'Secured interactive monitoring', 'start_date': datetime.datetime(2011, 11, 15, 5, 34, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 6, 7, 10, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 20, 12, 42, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3d243524-ca24-4916-8f3b-c1cc620b496a', 'end_date': datetime.datetime(2013, 4, 13, 18, 45, 2), 'start_time': datetime.datetime(2016, 5, 6, 15, 54, 15), 'rate': 4, 'updated_at': datetime.datetime(2019, 1, 7, 13, 15, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b4b33224-f38a-4c62-9612-61fee5cbe2d3', 'job_description': 'Universal 5th generation policy', 'start_date': datetime.datetime(2010, 5, 16, 20, 51, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 31, 16, 46, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 18, 9, 58, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24a29d95-1548-4fd6-8e52-5b615c777837', 'end_date': datetime.datetime(2014, 8, 14, 12, 48, 7), 'start_time': datetime.datetime(2012, 7, 7, 18, 39, 29), 'rate': 4, 'updated_at': datetime.datetime(2018, 5, 26, 10, 42, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ac30cdef-30f6-4879-97fd-1e81d1e26bf6', 'job_description': 'Synergized bottom-line monitoring', 'start_date': datetime.datetime(2016, 11, 13, 0, 34, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 14, 13, 22, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 19, 13, 4, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '391d2fb2-9547-4f8c-b05c-185f1a704b0f', 'end_date': datetime.datetime(2010, 12, 1, 0, 49, 17), 'start_time': datetime.datetime(2013, 3, 8, 16, 23, 58), 'rate': 3, 'updated_at': datetime.datetime(2014, 7, 23, 7, 37, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd1db9a93-aee2-407e-b1a8-702fc9f12c19', 'job_description': 'Innovative system-worthy challenge', 'start_date': datetime.datetime(2016, 6, 11, 14, 2, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 4, 5, 3, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 30, 9, 59, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '80d9de0a-69dc-40f5-a78e-21add435ff50', 'end_date': datetime.datetime(2014, 4, 21, 3, 26, 55), 'start_time': datetime.datetime(2018, 2, 22, 4, 41, 54), 'rate': 5, 'updated_at': datetime.datetime(2014, 4, 13, 0, 32, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd15333a6-141b-45f8-a744-95a79157cb7e', 'job_description': 'Proactive next generation array', 'start_date': datetime.datetime(2018, 11, 24, 20, 6, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 31, 20, 24, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 21, 3, 52, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a7b09be5-af14-4c16-aae0-ad3dc3ea5da3', 'end_date': datetime.datetime(2016, 6, 28, 9, 9, 40), 'start_time': datetime.datetime(2018, 8, 14, 3, 13, 32), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 15, 17, 49, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a699103f-47d4-4808-80a4-b7bb8705d4da', 'job_description': 'Reverse-engineered directional Graphic Interface', 'start_date': datetime.datetime(2013, 11, 6, 8, 28, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 8, 22, 14, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 16, 15, 33, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d009662-fa68-4b94-88ec-e75aa3020bfc', 'end_date': datetime.datetime(2015, 10, 10, 19, 56, 8), 'start_time': datetime.datetime(2015, 12, 3, 1, 53, 37), 'rate': 3, 'updated_at': datetime.datetime(2018, 6, 19, 16, 7, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35c4e401-6647-45e0-864c-bc27450182b3', 'job_description': 'Triple-buffered impactful leverage', 'start_date': datetime.datetime(2014, 8, 8, 8, 2, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 16, 16, 51, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 29, 3, 17, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '29b24122-5614-47c4-a8b1-e7e7c2e45207', 'end_date': datetime.datetime(2015, 3, 10, 12, 55, 43), 'start_time': datetime.datetime(2016, 3, 30, 12, 50, 17), 'rate': 4, 'updated_at': datetime.datetime(2014, 4, 22, 7, 41, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7cc8dbdd-5a52-4da5-9972-7341bbaea8b6', 'job_description': 'Customizable bifurcated approach', 'start_date': datetime.datetime(2019, 11, 21, 4, 45, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 3, 10, 4, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 26, 22, 44, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77d230bd-9e82-464a-8d4f-e9ade12e803b', 'end_date': datetime.datetime(2010, 4, 9, 23, 1, 15), 'start_time': datetime.datetime(2019, 1, 9, 15, 26, 20), 'rate': 1, 'updated_at': datetime.datetime(2017, 6, 16, 9, 35, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '187b44d6-7ddd-40ce-98f2-0eed91009fb8', 'job_description': 'Switchable bi-directional help-desk', 'start_date': datetime.datetime(2012, 11, 2, 19, 12, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 30, 22, 3, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 15, 16, 20, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ce7699bd-bc7e-4c2b-945b-51d62170b7ab', 'end_date': datetime.datetime(2014, 4, 18, 4, 34, 32), 'start_time': datetime.datetime(2012, 8, 3, 17, 30, 28), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 16, 23, 29, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10365fa0-e258-42ee-ba7e-6ffecaecf2f2', 'job_description': 'Face to face global firmware', 'start_date': datetime.datetime(2010, 2, 1, 1, 56, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 27, 22, 9, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 20, 17, 33, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8c1ff0e7-909c-42b5-841e-5ff4123376b4', 'end_date': datetime.datetime(2017, 1, 2, 18, 36, 49), 'start_time': datetime.datetime(2013, 7, 9, 8, 59, 43), 'rate': 2, 'updated_at': datetime.datetime(2013, 4, 2, 23, 53, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '41fa3d17-6cb8-4c48-91eb-0bc9f65b3bfb', 'job_description': 'Open-architected value-added focus group', 'start_date': datetime.datetime(2016, 12, 29, 8, 40, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 29, 0, 39, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 16, 1, 8, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7c253f6e-85c2-4fae-ac08-524e294649bf', 'end_date': datetime.datetime(2014, 6, 22, 11, 43, 29), 'start_time': datetime.datetime(2018, 6, 7, 0, 20, 26), 'rate': 5, 'updated_at': datetime.datetime(2016, 5, 10, 19, 8, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '714deb12-23a8-44eb-b8f5-d20a6cd0a5df', 'job_description': 'Synergistic global product', 'start_date': datetime.datetime(2019, 9, 14, 21, 51, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 6, 17, 50, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 5, 2, 0, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af5c69a3-97d0-45a4-a8f4-97430d703416', 'end_date': datetime.datetime(2015, 7, 20, 7, 9, 26), 'start_time': datetime.datetime(2015, 10, 31, 5, 34, 14), 'rate': 3, 'updated_at': datetime.datetime(2013, 1, 8, 6, 23, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '176e1379-a7d0-48bb-a022-3e2152c21d50', 'job_description': 'Persistent 4th generation challenge', 'start_date': datetime.datetime(2013, 5, 23, 14, 30, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 14, 2, 57, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 7, 9, 28, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'df0da4a9-2e69-4fa8-b952-083be92d8612', 'end_date': datetime.datetime(2013, 3, 11, 23, 19, 38), 'start_time': datetime.datetime(2010, 11, 1, 18, 18, 14), 'rate': 3, 'updated_at': datetime.datetime(2016, 11, 26, 1, 26, 7), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ef0b51e9-d4b0-48fb-8c74-d955a3ffc772', 'job_description': 'Re-contextualized well-modulated Graphical User Interface', 'start_date': datetime.datetime(2016, 7, 5, 3, 4, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 8, 23, 4, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 5, 6, 14, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83936e5c-6326-41dc-a966-39923484915c', 'end_date': datetime.datetime(2019, 8, 15, 17, 20, 27), 'start_time': datetime.datetime(2010, 12, 25, 21, 4, 31), 'rate': 5, 'updated_at': datetime.datetime(2017, 7, 14, 6, 24, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '49a8d4bc-cea5-4116-924d-f83cd9804297', 'job_description': 'Multi-channelled responsive open architecture', 'start_date': datetime.datetime(2014, 4, 9, 6, 57, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 26, 14, 32, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 10, 10, 19, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f38c149b-00a4-4f3c-be8e-f108ec8d291c', 'end_date': datetime.datetime(2018, 6, 16, 17, 19, 41), 'start_time': datetime.datetime(2017, 11, 21, 3, 17, 24), 'rate': 3, 'updated_at': datetime.datetime(2010, 5, 26, 18, 3, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3479dd19-48f6-4717-a3b2-75ffb1f0c122', 'job_description': 'Upgradable solution-oriented ability', 'start_date': datetime.datetime(2014, 4, 5, 1, 48, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 5, 20, 26, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 18, 5, 54, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cdabce39-5ed6-4c97-8aa9-b6eba70a1f26', 'end_date': datetime.datetime(2014, 4, 19, 8, 5, 30), 'start_time': datetime.datetime(2013, 9, 30, 15, 8, 38), 'rate': 3, 'updated_at': datetime.datetime(2011, 2, 9, 20, 25, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Grenada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3217302b-c147-44d5-a1c8-5ed93e63769b', 'job_description': 'Seamless encompassing matrices', 'start_date': datetime.datetime(2012, 4, 11, 23, 24, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 24, 9, 47, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 22, 17, 10, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '30322df6-df4d-4447-a904-f0d4b5d70abc', 'end_date': datetime.datetime(2015, 2, 13, 16, 28, 2), 'start_time': datetime.datetime(2018, 7, 14, 10, 52, 19), 'rate': 4, 'updated_at': datetime.datetime(2018, 3, 6, 2, 28, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '369228e7-bd66-42b9-b17d-a52e9af74a09', 'job_description': 'Focused context-sensitive attitude', 'start_date': datetime.datetime(2010, 9, 14, 15, 59, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 23, 15, 22, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 30, 22, 8, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5d62b7e-4383-4ae4-9c5c-873acf306a7e', 'end_date': datetime.datetime(2010, 11, 11, 23, 43, 5), 'start_time': datetime.datetime(2015, 2, 23, 18, 51, 29), 'rate': 4, 'updated_at': datetime.datetime(2014, 2, 28, 3, 38, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6096aa80-29a5-4f9f-9533-4b6239c36748', 'job_description': 'Universal regional firmware', 'start_date': datetime.datetime(2010, 6, 12, 10, 58, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 22, 6, 48, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 9, 12, 28, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a6f6efd5-fbc3-4dbf-bf36-41eac56eb6fe', 'end_date': datetime.datetime(2015, 12, 4, 15, 46, 20), 'start_time': datetime.datetime(2017, 8, 28, 6, 47, 59), 'rate': 4, 'updated_at': datetime.datetime(2013, 1, 6, 12, 36, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Bangladesh', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '08ead470-bc57-4463-9aaa-35a5968b7848', 'job_description': 'Expanded optimizing help-desk', 'start_date': datetime.datetime(2015, 11, 20, 23, 6, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 12, 20, 19, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 17, 0, 51, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb426e3e-00f2-49d3-8f67-6bb7beec41b5', 'end_date': datetime.datetime(2016, 12, 21, 19, 43, 49), 'start_time': datetime.datetime(2014, 1, 24, 6, 6, 13), 'rate': 3, 'updated_at': datetime.datetime(2014, 8, 13, 9, 35, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '19f1e090-3885-44cc-82d2-e8bdf303cff3', 'job_description': 'Down-sized assymetric matrices', 'start_date': datetime.datetime(2018, 5, 30, 11, 47, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 12, 16, 33, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 9, 8, 41, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '106a7219-cc9d-4bc4-ad84-c0af60935c7f', 'end_date': datetime.datetime(2018, 9, 4, 15, 23, 13), 'start_time': datetime.datetime(2012, 2, 18, 7, 18, 44), 'rate': 1, 'updated_at': datetime.datetime(2019, 8, 10, 10, 33, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9a17329b-d12c-4eca-93e7-077a920d0361', 'job_description': 'Cross-group intermediate application', 'start_date': datetime.datetime(2014, 2, 8, 17, 47, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 26, 1, 5, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 14, 18, 16, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e15a25aa-989f-41a5-ae5c-eb35d2e6b3b4', 'end_date': datetime.datetime(2010, 5, 26, 6, 57, 35), 'start_time': datetime.datetime(2017, 3, 8, 19, 56, 21), 'rate': 4, 'updated_at': datetime.datetime(2010, 3, 27, 18, 18, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9e8b85c5-92aa-4944-96c9-1075c3fd7da9', 'job_description': 'Optimized optimizing software', 'start_date': datetime.datetime(2011, 6, 6, 8, 33, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 25, 0, 35, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 29, 4, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7ef3ec22-6de9-4bbb-9417-f3f9a8b16938', 'end_date': datetime.datetime(2014, 2, 26, 23, 36, 1), 'start_time': datetime.datetime(2017, 7, 2, 11, 46, 31), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 15, 18, 47, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aad459d1-5044-4d91-ad4e-4c5d074c8615', 'job_description': 'Synergistic needs-based solution', 'start_date': datetime.datetime(2010, 7, 14, 4, 52, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 3, 15, 35, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 20, 1, 41, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9f026d7f-8eff-4c72-9e93-6bd1c8a609f6', 'end_date': datetime.datetime(2017, 8, 31, 0, 33, 31), 'start_time': datetime.datetime(2013, 5, 4, 9, 13, 33), 'rate': 3, 'updated_at': datetime.datetime(2012, 3, 23, 7, 35, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '13c2cf95-da8a-4f11-9416-824fb998138b', 'job_description': 'Front-line dedicated orchestration', 'start_date': datetime.datetime(2013, 4, 22, 4, 31, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 6, 11, 27, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 10, 8, 8, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1fe1d025-b65d-457c-a1c0-09b2cb3c92b6', 'end_date': datetime.datetime(2018, 5, 10, 1, 1, 33), 'start_time': datetime.datetime(2017, 6, 22, 9, 22), 'rate': 4, 'updated_at': datetime.datetime(2012, 12, 10, 13, 27, 1), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7789052b-2cdb-43fe-91d9-ccfd29acee7a', 'job_description': 'Multi-lateral 5th generation Graphical User Interface', 'start_date': datetime.datetime(2017, 1, 16, 4, 6, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 12, 3, 3, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 24, 4, 4, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8390bf57-4cda-4bfb-b30a-0d16eec060b8', 'end_date': datetime.datetime(2011, 7, 2, 22, 39, 24), 'start_time': datetime.datetime(2016, 1, 20, 12, 53, 44), 'rate': 4, 'updated_at': datetime.datetime(2017, 11, 1, 15, 50, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ed4069a8-d433-4cfe-98b6-f0b2ec82e7f0', 'job_description': 'Team-oriented impactful methodology', 'start_date': datetime.datetime(2016, 8, 17, 2, 9, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 17, 21, 56, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 6, 8, 15, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e3ad8a0c-ce7f-45a6-ad39-441a868b6255', 'end_date': datetime.datetime(2016, 6, 28, 7, 33, 36), 'start_time': datetime.datetime(2018, 3, 12, 8, 10, 2), 'rate': 3, 'updated_at': datetime.datetime(2013, 7, 11, 10, 32, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Anguilla', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '827205ba-7570-45ae-8ca0-6d05b62c244e', 'job_description': 'Mandatory bottom-line superstructure', 'start_date': datetime.datetime(2013, 3, 3, 21, 46, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 18, 22, 2, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 19, 5, 27, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dafbd7ae-015e-422f-beb1-a4b088d16571', 'end_date': datetime.datetime(2018, 1, 6, 6, 11, 46), 'start_time': datetime.datetime(2013, 7, 19, 14, 4, 31), 'rate': 1, 'updated_at': datetime.datetime(2019, 4, 24, 2, 2, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ad92a9cd-11a2-435e-b932-bcf36632f212', 'job_description': 'Function-based dedicated projection', 'start_date': datetime.datetime(2013, 5, 7, 12, 23, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 9, 22, 10, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 12, 2, 57, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6f7a3c30-21db-4046-9736-edcb518b2be7', 'end_date': datetime.datetime(2014, 1, 15, 5, 57, 18), 'start_time': datetime.datetime(2017, 12, 29, 22, 44, 26), 'rate': 2, 'updated_at': datetime.datetime(2010, 2, 1, 11, 40, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Kenya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5a6c19cf-c16c-4c4f-baf3-7e9afdc1d772', 'job_description': 'Up-sized object-oriented benchmark', 'start_date': datetime.datetime(2014, 6, 17, 9, 29, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 30, 15, 56, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 31, 7, 6, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb958928-d0b3-427a-872c-bbf3b5f995c3', 'end_date': datetime.datetime(2019, 5, 3, 5, 49, 49), 'start_time': datetime.datetime(2018, 7, 1, 22, 56, 12), 'rate': 5, 'updated_at': datetime.datetime(2019, 7, 19, 5, 49, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7cd240c0-1c3e-44ee-9bf6-b39b2ffb04ee', 'job_description': 'Persevering clear-thinking database', 'start_date': datetime.datetime(2018, 11, 15, 15, 34, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 21, 17, 25, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 22, 4, 30, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '483e0977-b86b-4e91-8db8-618624e05dc6', 'end_date': datetime.datetime(2019, 10, 27, 7, 37, 33), 'start_time': datetime.datetime(2014, 8, 8, 5, 11, 38), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 24, 18, 37, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': '78b35621-4f5d-4305-8aba-a8492f5c7de0', 'job_description': 'Total directional infrastructure', 'start_date': datetime.datetime(2016, 5, 14, 8, 53, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 11, 4, 51, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 21, 4, 41, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c60fee57-90be-4dad-b663-dac420f1b928', 'end_date': datetime.datetime(2017, 7, 28, 2, 17, 22), 'start_time': datetime.datetime(2013, 11, 2, 2, 17, 4), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 6, 15, 58, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7a4c2630-93a9-4176-ae17-bb9976bafa16', 'job_description': 'Proactive fault-tolerant core', 'start_date': datetime.datetime(2016, 12, 19, 3, 31, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 11, 15, 22, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 6, 21, 45, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '40e8380f-c249-4426-b85e-8b05823a9b70', 'end_date': datetime.datetime(2019, 10, 13, 8, 45, 15), 'start_time': datetime.datetime(2016, 9, 17, 9, 7, 54), 'rate': 1, 'updated_at': datetime.datetime(2012, 6, 15, 6, 41, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '89168f7e-4690-4448-a7f4-df846d28eaa4', 'job_description': 'Cross-group transitional standardization', 'start_date': datetime.datetime(2018, 11, 13, 2, 3, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 28, 8, 11, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 18, 0, 18, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7d0c4e9a-c929-4da4-8b28-1a591a64f9cd', 'end_date': datetime.datetime(2016, 7, 24, 14, 48, 43), 'start_time': datetime.datetime(2019, 6, 30, 8, 15, 19), 'rate': 4, 'updated_at': datetime.datetime(2015, 4, 28, 6, 29, 19), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ec1369bb-45bb-4091-8310-5082b0ab62dd', 'job_description': 'Balanced holistic system engine', 'start_date': datetime.datetime(2011, 3, 2, 1, 44, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 21, 19, 25, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 21, 7, 7, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f0a7d44-5ea3-4076-9196-fa6a4fb5064c', 'end_date': datetime.datetime(2010, 1, 15, 9, 27, 54), 'start_time': datetime.datetime(2015, 4, 27, 12, 30, 35), 'rate': 3, 'updated_at': datetime.datetime(2011, 4, 5, 2, 9, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Iraq', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6101ce6c-5457-44c4-a535-4661088ec084', 'job_description': 'Progressive local process improvement', 'start_date': datetime.datetime(2012, 4, 10, 0, 6, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 12, 1, 24, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 11, 4, 56, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '58534058-b8d2-4b3c-9ea1-530c95e91960', 'end_date': datetime.datetime(2015, 8, 4, 11, 24, 17), 'start_time': datetime.datetime(2014, 2, 24, 4, 58, 9), 'rate': 4, 'updated_at': datetime.datetime(2019, 5, 30, 19, 49, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2be373ae-1fc7-4e77-9a76-807d3ab968b1', 'job_description': 'Multi-lateral client-server project', 'start_date': datetime.datetime(2011, 8, 22, 3, 40, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 27, 2, 17, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 14, 1, 45, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c9f61870-e468-4671-9dcd-77a0b178810c', 'end_date': datetime.datetime(2012, 8, 15, 22, 34, 14), 'start_time': datetime.datetime(2013, 5, 15, 20, 29, 54), 'rate': 2, 'updated_at': datetime.datetime(2015, 3, 31, 16, 57, 44), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cb092299-58d9-4fd6-b6bb-2eb780db3644', 'job_description': 'Optimized systematic process improvement', 'start_date': datetime.datetime(2012, 11, 8, 13, 43, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 30, 13, 45, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 23, 1, 13, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7f1163d0-5c5b-4982-8212-05c1f1107e2c', 'end_date': datetime.datetime(2010, 11, 24, 14, 0, 54), 'start_time': datetime.datetime(2016, 9, 19, 1, 9, 56), 'rate': 1, 'updated_at': datetime.datetime(2010, 2, 22, 13, 36, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Finland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '399bbff9-d5c5-4770-bfbc-e1751693bba8', 'job_description': 'Organic local monitoring', 'start_date': datetime.datetime(2014, 1, 2, 7, 8, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 21, 21, 33, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 10, 11, 56, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57e0abf4-3911-4da3-9c77-7e740acc14d1', 'end_date': datetime.datetime(2015, 4, 17, 2, 26, 29), 'start_time': datetime.datetime(2014, 11, 13, 1, 50, 50), 'rate': 2, 'updated_at': datetime.datetime(2013, 6, 4, 8, 42, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a41367d9-ece1-48d6-bb88-19b5b62d6483', 'job_description': 'Implemented reciprocal methodology', 'start_date': datetime.datetime(2014, 5, 14, 12, 27, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 18, 9, 17, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 10, 22, 17, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '881d2a4f-d0f8-40aa-84e6-90e559c4210e', 'end_date': datetime.datetime(2011, 12, 4, 8, 47, 49), 'start_time': datetime.datetime(2019, 9, 13, 8, 52, 43), 'rate': 3, 'updated_at': datetime.datetime(2014, 3, 12, 23, 31, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f10f730f-f56e-4753-a9a2-8448c4784e06', 'job_description': 'Managed explicit website', 'start_date': datetime.datetime(2013, 8, 16, 17, 7, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 26, 22, 53, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 24, 21, 12, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '68394c0a-b2f2-458f-8408-2db0294f2e15', 'end_date': datetime.datetime(2011, 9, 16, 6, 39, 10), 'start_time': datetime.datetime(2017, 8, 4, 7, 59, 42), 'rate': 3, 'updated_at': datetime.datetime(2012, 12, 25, 15, 35, 27), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b5cbf334-61ea-4135-96ed-14ebece1d197', 'job_description': 'Virtual systemic utilisation', 'start_date': datetime.datetime(2013, 11, 2, 0, 20, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 3, 11, 12, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 11, 14, 1, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bff60525-b6d0-46a7-9b19-43b657cee7ef', 'end_date': datetime.datetime(2010, 4, 24, 17, 16, 26), 'start_time': datetime.datetime(2017, 1, 2, 5, 25, 16), 'rate': 5, 'updated_at': datetime.datetime(2016, 7, 31, 20, 14, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7e3680f3-7120-42c2-9127-8d403efbf4f0', 'job_description': 'Switchable mission-critical architecture', 'start_date': datetime.datetime(2015, 7, 4, 18, 36, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 16, 5, 17, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 23, 3, 47, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd9574de7-a75d-41b0-8d9d-2c17c35d46e7', 'end_date': datetime.datetime(2019, 2, 12, 7, 30, 59), 'start_time': datetime.datetime(2012, 10, 4, 2, 5, 6), 'rate': 4, 'updated_at': datetime.datetime(2010, 3, 9, 15, 12, 17), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '396c4803-8a4c-4381-954d-fa211f5948d5', 'job_description': 'Automated eco-centric secured line', 'start_date': datetime.datetime(2013, 4, 11, 20, 45, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 23, 10, 2, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 17, 2, 16, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'edc12290-7718-4ae9-b102-675ac2c7921b', 'end_date': datetime.datetime(2019, 2, 25, 22, 2), 'start_time': datetime.datetime(2012, 5, 23, 7, 1, 19), 'rate': 3, 'updated_at': datetime.datetime(2010, 2, 18, 5, 34, 51), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9d0c5cd8-880d-4469-897b-d577d0b9aac5', 'job_description': 'Open-source intermediate service-desk', 'start_date': datetime.datetime(2011, 9, 23, 6, 22, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 21, 23, 48, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 15, 18, 23, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '45ba7d95-8c91-46da-9626-6c6be55eccea', 'end_date': datetime.datetime(2013, 1, 5, 11, 54, 39), 'start_time': datetime.datetime(2010, 3, 23, 2, 32, 47), 'rate': 4, 'updated_at': datetime.datetime(2011, 9, 19, 9, 35, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '541ed863-4d1d-4276-9aa2-bcea1f9b0509', 'job_description': 'Polarised 4th generation functionalities', 'start_date': datetime.datetime(2013, 6, 12, 13, 55, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 22, 11, 9, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 9, 0, 50, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '23b60dd5-3145-49ce-b2d4-58018e08a5c1', 'end_date': datetime.datetime(2011, 2, 1, 8, 25, 53), 'start_time': datetime.datetime(2018, 12, 20, 16, 17, 23), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 24, 23, 21, 32), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cdf0a185-057b-4715-b1fe-0324e1cdbe48', 'job_description': 'Grass-roots local time-frame', 'start_date': datetime.datetime(2014, 10, 14, 10, 26, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 22, 3, 9, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 30, 17, 18, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a9d41f79-8098-4072-a0d5-dea99a4285da', 'end_date': datetime.datetime(2014, 6, 25, 9, 40, 22), 'start_time': datetime.datetime(2016, 9, 28, 3, 50, 41), 'rate': 3, 'updated_at': datetime.datetime(2012, 10, 6, 11, 30, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9832f173-efaf-42d6-8145-76b8c9c5d78e', 'job_description': 'Distributed contextually-based architecture', 'start_date': datetime.datetime(2013, 8, 26, 6, 1, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 27, 19, 40, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 10, 2, 35, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '12caac53-13ba-4c5a-958b-212dc4db9e33', 'end_date': datetime.datetime(2015, 8, 23, 22, 39, 23), 'start_time': datetime.datetime(2017, 7, 1, 3, 57, 39), 'rate': 3, 'updated_at': datetime.datetime(2016, 5, 26, 14, 32, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2a1e8f74-8eba-448d-ba0e-d2b5d5c2a1f9', 'job_description': 'Down-sized directional database', 'start_date': datetime.datetime(2019, 8, 11, 3, 20, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 29, 7, 21, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 7, 1, 19, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '34348ea8-5f67-4814-975e-0ae61655f96e', 'end_date': datetime.datetime(2014, 12, 8, 4, 0, 30), 'start_time': datetime.datetime(2015, 12, 6, 13, 32, 30), 'rate': 4, 'updated_at': datetime.datetime(2018, 8, 12, 16, 13, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Costa Rica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4c61cc53-f96a-4bd8-9c24-eff0cf165017', 'job_description': 'Synergistic optimizing intranet', 'start_date': datetime.datetime(2014, 3, 29, 2, 11, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 20, 0, 8, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 1, 15, 30, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '33603d8c-78e8-405c-86a4-a64ce8b07aaa', 'end_date': datetime.datetime(2017, 2, 16, 22, 41, 58), 'start_time': datetime.datetime(2011, 4, 21, 11, 17, 34), 'rate': 4, 'updated_at': datetime.datetime(2013, 11, 20, 1, 0, 39), 'job_title': 'CoffeeMaker', 'service_id': 'United States Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '179851d0-289c-4072-8239-f0202c6e8847', 'job_description': 'Seamless bandwidth-monitored function', 'start_date': datetime.datetime(2016, 6, 27, 7, 17, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 31, 1, 51, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 8, 0, 6, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f662b511-da37-499f-9027-a1bae4d6b32b', 'end_date': datetime.datetime(2012, 12, 22, 18, 31, 52), 'start_time': datetime.datetime(2016, 10, 14, 0, 34, 20), 'rate': 3, 'updated_at': datetime.datetime(2011, 3, 27, 14, 25, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f008f4dc-3aff-448e-a398-453197290220', 'job_description': 'Integrated 5th generation local area network', 'start_date': datetime.datetime(2018, 4, 24, 13, 10, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 28, 14, 30, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 28, 3, 41, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e18bd14a-aa67-4709-8c79-d72c8feef032', 'end_date': datetime.datetime(2013, 10, 18, 10, 29, 45), 'start_time': datetime.datetime(2016, 6, 12, 21, 28, 42), 'rate': 2, 'updated_at': datetime.datetime(2011, 11, 9, 11, 1, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78a2cc4a-fbf6-4d03-b6fd-4556ca7c7e79', 'job_description': 'Re-contextualized needs-based forecast', 'start_date': datetime.datetime(2014, 11, 3, 7, 3, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 14, 13, 6, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 24, 23, 32, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b8b4c806-6dac-4917-a81d-85cfcc1a8588', 'end_date': datetime.datetime(2017, 3, 27, 23, 41, 23), 'start_time': datetime.datetime(2017, 10, 27, 19, 12, 5), 'rate': 2, 'updated_at': datetime.datetime(2018, 4, 4, 11, 19, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8a1fe787-d7e8-4a8e-ac9a-46c8f487e29b', 'job_description': 'Monitored heuristic strategy', 'start_date': datetime.datetime(2019, 5, 18, 15, 5, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 2, 13, 29, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 22, 2, 59, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4b12e0e0-7b66-49fb-80cd-fb7cc5fb21aa', 'end_date': datetime.datetime(2014, 11, 23, 8, 4, 30), 'start_time': datetime.datetime(2015, 2, 27, 1, 1, 12), 'rate': 2, 'updated_at': datetime.datetime(2012, 7, 25, 13, 14, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '327ae8ee-d2c5-478f-9828-2312a888fa3a', 'job_description': 'Team-oriented tangible matrices', 'start_date': datetime.datetime(2018, 9, 14, 10, 13, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 19, 18, 45, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 25, 18, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cecd642f-7bdc-413c-aed2-3283bdb163b4', 'end_date': datetime.datetime(2017, 10, 18, 11, 6, 12), 'start_time': datetime.datetime(2015, 8, 1, 19, 15, 42), 'rate': 3, 'updated_at': datetime.datetime(2012, 5, 19, 23, 21, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Equatorial Guinea', 'special_note': 'thanks'}
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{'_id': '581ab2ad-e902-4b18-be10-eb7ea279b4a2', 'job_description': 'Reverse-engineered logistical knowledge base', 'start_date': datetime.datetime(2012, 5, 29, 20, 15, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 19, 19, 26, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 8, 8, 6, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a0a0582-2f22-4170-bb86-8d8a1c37a388', 'end_date': datetime.datetime(2010, 7, 19, 10, 25, 54), 'start_time': datetime.datetime(2017, 12, 19, 18, 36, 14), 'rate': 2, 'updated_at': datetime.datetime(2017, 12, 17, 5, 16, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
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{'_id': '02e6d116-be56-4c07-a05d-2ed1cd67e669', 'job_description': 'Stand-alone attitude-oriented flexibility', 'start_date': datetime.datetime(2014, 2, 23, 21, 18, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 14, 18, 34, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 13, 21, 26, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5123011f-a80b-4727-bcb6-3e2675142374', 'end_date': datetime.datetime(2017, 2, 22, 5, 43, 56), 'start_time': datetime.datetime(2017, 1, 2, 6, 54, 41), 'rate': 1, 'updated_at': datetime.datetime(2018, 6, 16, 11, 12, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
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{'_id': 'ec741f34-f2b5-4eb7-b53e-1a176ee94e86', 'job_description': 'Quality-focused non-volatile analyzer', 'start_date': datetime.datetime(2017, 8, 15, 2, 8, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 5, 16, 14, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 6, 10, 5, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0a1d26fb-2bdd-42a1-b8d5-f4d95f50b55d', 'end_date': datetime.datetime(2019, 7, 31, 21, 39, 16), 'start_time': datetime.datetime(2019, 6, 22, 21, 40, 22), 'rate': 2, 'updated_at': datetime.datetime(2011, 8, 2, 20, 20, 32), 'job_title': 'CoffeeMaker', 'service_id': 'French Polynesia', 'special_note': 'thanks'}
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{'_id': '873ebe13-fb32-4f15-a3a5-a3826c2cc7fd', 'job_description': 'Digitized motivating middleware', 'start_date': datetime.datetime(2011, 2, 11, 23, 47, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 17, 17, 6, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 27, 9, 48, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3df87329-de0c-4813-a79b-0e3f51500e04', 'end_date': datetime.datetime(2013, 11, 11, 20, 51, 22), 'start_time': datetime.datetime(2013, 5, 14, 14, 55, 55), 'rate': 5, 'updated_at': datetime.datetime(2017, 10, 14, 5, 2, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
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{'_id': '09a56d16-7454-4973-b2a4-9c097b4fc6b2', 'job_description': 'Synchronised 24 hour challenge', 'start_date': datetime.datetime(2017, 5, 3, 23, 43, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 11, 6, 56, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 18, 18, 24, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd06f740c-aa7b-471a-a552-27f971843f2a', 'end_date': datetime.datetime(2018, 3, 12, 17, 47, 51), 'start_time': datetime.datetime(2015, 4, 15, 4, 44, 27), 'rate': 1, 'updated_at': datetime.datetime(2011, 11, 23, 20, 16, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
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{'_id': '946300b7-b08e-4d1d-96dd-79f6939933c0', 'job_description': 'Programmable zero defect productivity', 'start_date': datetime.datetime(2014, 6, 22, 13, 47, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 29, 21, 7, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 12, 20, 58, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83695899-db7c-4e3d-bc8d-2a0d97f2c666', 'end_date': datetime.datetime(2019, 3, 31, 19, 1, 22), 'start_time': datetime.datetime(2010, 2, 10, 3, 17, 29), 'rate': 4, 'updated_at': datetime.datetime(2016, 11, 23, 16, 48, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
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{'_id': '5b2e6c5d-0347-4b61-9ab3-f88c5bfa38a6', 'job_description': 'Networked mobile data-warehouse', 'start_date': datetime.datetime(2011, 6, 30, 2, 33, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 25, 10, 53, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 17, 23, 9, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd31b58d1-70e7-4eb7-a1ae-23dbac779240', 'end_date': datetime.datetime(2012, 7, 16, 14, 54, 15), 'start_time': datetime.datetime(2016, 10, 1, 23, 18, 44), 'rate': 3, 'updated_at': datetime.datetime(2018, 2, 3, 15, 18, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Macedonia', 'special_note': 'thanks'}
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{'_id': '58c219c9-3c19-4f97-a5bb-215819fb152c', 'job_description': 'De-engineered encompassing parallelism', 'start_date': datetime.datetime(2018, 1, 16, 5, 55, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 31, 8, 5, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 11, 1, 31, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e46d80cf-7229-4b29-b154-f30eab3272d1', 'end_date': datetime.datetime(2017, 11, 24, 21, 49, 22), 'start_time': datetime.datetime(2013, 11, 17, 14, 18, 43), 'rate': 5, 'updated_at': datetime.datetime(2017, 5, 11, 12, 3, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
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{'_id': '036eeb25-9362-41e0-b035-a1aa2b5f805a', 'job_description': 'Integrated upward-trending protocol', 'start_date': datetime.datetime(2010, 10, 5, 12, 35, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 3, 18, 31, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 4, 15, 6, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '00bc7670-32dd-4f57-969a-148d1ee8debf', 'end_date': datetime.datetime(2013, 3, 26, 22, 49, 53), 'start_time': datetime.datetime(2017, 7, 26, 16, 15, 34), 'rate': 4, 'updated_at': datetime.datetime(2014, 2, 1, 6, 44, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
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{'_id': 'f62f9d97-9d29-4b42-8dc0-9e572d59fdac', 'job_description': 'Implemented foreground interface', 'start_date': datetime.datetime(2011, 9, 3, 11, 57, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 28, 0, 25, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 2, 9, 3, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5726d0e2-646e-4557-acae-cdd6dbced4f7', 'end_date': datetime.datetime(2017, 11, 23, 1, 44, 1), 'start_time': datetime.datetime(2010, 3, 4, 9, 8, 48), 'rate': 1, 'updated_at': datetime.datetime(2016, 1, 12, 21, 17, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': 'd5edf239-52a4-4f6b-bcf5-57aef4e12676', 'job_description': 'Expanded directional circuit', 'start_date': datetime.datetime(2012, 3, 15, 16, 3, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 27, 19, 51, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 6, 6, 50, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83a024b2-fff3-4c17-b678-2a1b360bf5e9', 'end_date': datetime.datetime(2015, 4, 28, 1, 22, 49), 'start_time': datetime.datetime(2018, 5, 15, 9, 26, 50), 'rate': 2, 'updated_at': datetime.datetime(2017, 11, 10, 22, 14, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
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{'_id': 'eb72e2f3-2b80-431f-a273-eaf0ebbb4cf2', 'job_description': 'Horizontal optimizing architecture', 'start_date': datetime.datetime(2012, 3, 26, 16, 11, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 6, 16, 33, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 17, 7, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '660c1f0e-a38f-4909-b60a-0b8a7f09a8a5', 'end_date': datetime.datetime(2010, 9, 12, 9, 56, 57), 'start_time': datetime.datetime(2011, 1, 13, 11, 3, 15), 'rate': 1, 'updated_at': datetime.datetime(2013, 4, 13, 4, 45, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
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{'_id': 'c86ede1b-a241-4b7d-a449-c4dcfb1959e4', 'job_description': 'Implemented regional capability', 'start_date': datetime.datetime(2012, 10, 13, 17, 31, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 5, 21, 59, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 29, 8, 30, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb77f34c-5765-48cc-986d-3836f62adc61', 'end_date': datetime.datetime(2010, 9, 16, 3, 25, 19), 'start_time': datetime.datetime(2013, 1, 3, 6, 6, 16), 'rate': 4, 'updated_at': datetime.datetime(2010, 10, 22, 21, 37, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
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{'_id': '4c51019a-5d65-421f-9895-1d8e1f3cb3e4', 'job_description': 'Switchable 6th generation synergy', 'start_date': datetime.datetime(2015, 6, 27, 9, 4, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 24, 20, 2, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 29, 3, 51, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '91f21c0c-faf9-4f6d-84f2-fc1d09c0b81e', 'end_date': datetime.datetime(2016, 10, 13, 17, 51, 59), 'start_time': datetime.datetime(2013, 10, 19, 4, 13, 43), 'rate': 3, 'updated_at': datetime.datetime(2014, 2, 28, 20, 17, 27), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
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{'_id': '40f99811-9269-4b96-96b8-826c0a2183da', 'job_description': 'Face to face homogeneous project', 'start_date': datetime.datetime(2013, 12, 28, 14, 15, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 22, 22, 57, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 24, 22, 2, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7e85a93a-85b5-4671-96fc-c0198a17dee6', 'end_date': datetime.datetime(2017, 8, 9, 18, 43, 49), 'start_time': datetime.datetime(2012, 4, 6, 14, 19, 22), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 24, 21, 20, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
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{'_id': '0fcbe7b0-a6e5-4915-88dd-fe1a3d8a69a9', 'job_description': 'Implemented intermediate array', 'start_date': datetime.datetime(2014, 10, 24, 4, 9, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 6, 12, 31, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 9, 21, 3, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e02db733-c7d7-46d5-98b2-54fbbfe401c5', 'end_date': datetime.datetime(2013, 4, 6, 22, 13, 57), 'start_time': datetime.datetime(2015, 7, 16, 3, 45, 14), 'rate': 3, 'updated_at': datetime.datetime(2012, 5, 15, 14, 57, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
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{'_id': '267577d5-4e4f-4f36-9c82-9c75ed8f4070', 'job_description': 'Synergistic tangible leverage', 'start_date': datetime.datetime(2016, 8, 21, 15, 20, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 24, 2, 15, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 24, 12, 53, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd6273327-deb3-4f86-8611-f82a9f1d0da8', 'end_date': datetime.datetime(2014, 8, 6, 4, 59), 'start_time': datetime.datetime(2014, 7, 28, 22, 47, 2), 'rate': 1, 'updated_at': datetime.datetime(2019, 4, 15, 9, 40, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Sri Lanka', 'special_note': 'thanks'}
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{'_id': 'b0dbafdf-1ff8-4577-a76d-72836226434a', 'job_description': 'Customer-focused global pricing structure', 'start_date': datetime.datetime(2018, 6, 15, 5, 41, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 9, 8, 53, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 3, 9, 42, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '057890a0-c6b6-44b2-b4b3-ab4ea106baaf', 'end_date': datetime.datetime(2013, 11, 22, 9, 9, 19), 'start_time': datetime.datetime(2018, 5, 22, 11, 19, 53), 'rate': 2, 'updated_at': datetime.datetime(2017, 4, 26, 10, 26, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
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{'_id': '3cf5d3dd-8608-43bf-8a35-01287743f2d3', 'job_description': 'Realigned bifurcated collaboration', 'start_date': datetime.datetime(2012, 8, 23, 15, 16, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 2, 15, 10, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 28, 5, 7, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '76af21b8-e295-4eff-9416-e62e48f91d24', 'end_date': datetime.datetime(2012, 5, 9, 4, 31, 31), 'start_time': datetime.datetime(2015, 2, 26, 15, 34, 19), 'rate': 1, 'updated_at': datetime.datetime(2019, 9, 11, 4, 2, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': '7d6d93fa-827c-433d-88d0-8e131c1eca37', 'job_description': 'Up-sized dynamic parallelism', 'start_date': datetime.datetime(2019, 6, 19, 14, 14, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 10, 0, 36, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 8, 18, 46, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '14705b45-8e4c-4e14-a18a-82964b20a3d0', 'end_date': datetime.datetime(2012, 5, 4, 16, 3, 39), 'start_time': datetime.datetime(2016, 7, 28, 16, 15, 47), 'rate': 4, 'updated_at': datetime.datetime(2016, 9, 28, 5, 1, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
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{'_id': '35ed4c47-81f5-4452-b75b-70c894b29910', 'job_description': 'Synergized even-keeled encoding', 'start_date': datetime.datetime(2018, 1, 2, 11, 6, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 28, 22, 19, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 28, 5, 29, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7d0a7017-871b-42a6-b16c-bc6ddaa455a7', 'end_date': datetime.datetime(2015, 7, 14, 1, 34, 13), 'start_time': datetime.datetime(2011, 6, 11, 5, 32, 42), 'rate': 4, 'updated_at': datetime.datetime(2012, 10, 2, 22, 51, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
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{'_id': '0c635054-5dd3-4366-91ac-e1fa764a0423', 'job_description': 'Multi-lateral static monitoring', 'start_date': datetime.datetime(2011, 3, 7, 22, 39, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 16, 9, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 31, 11, 11, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '509bd856-51df-451a-9280-4c568da59da3', 'end_date': datetime.datetime(2013, 4, 24, 11, 52, 35), 'start_time': datetime.datetime(2012, 11, 19, 23, 43, 13), 'rate': 4, 'updated_at': datetime.datetime(2012, 11, 9, 8, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
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{'_id': '0e805da7-a55b-4155-989f-02154deab10f', 'job_description': 'Stand-alone system-worthy algorithm', 'start_date': datetime.datetime(2017, 3, 17, 19, 52, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 6, 4, 42, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 4, 18, 9, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c328559d-633e-4ca2-82d3-325ec24eedb8', 'end_date': datetime.datetime(2012, 8, 19, 17, 6, 32), 'start_time': datetime.datetime(2015, 11, 11, 17, 46, 42), 'rate': 1, 'updated_at': datetime.datetime(2017, 9, 5, 17, 37, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
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{'_id': 'df46a05b-28b0-4a48-a988-0a16a6cf0a9c', 'job_description': 'Programmable multi-tasking open architecture', 'start_date': datetime.datetime(2015, 8, 9, 18, 42, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 7, 16, 59, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 12, 18, 44, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77e5d1fe-b43f-4cde-81db-b1249b4f5120', 'end_date': datetime.datetime(2013, 7, 27, 10, 20, 48), 'start_time': datetime.datetime(2018, 6, 21, 5, 11, 18), 'rate': 4, 'updated_at': datetime.datetime(2014, 10, 12, 1, 45, 5), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
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{'_id': '9818a16c-00f2-4b94-a408-01c17a38427d', 'job_description': 'Organic background strategy', 'start_date': datetime.datetime(2016, 3, 26, 7, 39, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 11, 11, 35, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 16, 6, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7d9528a6-3ecf-4f98-aa28-df1af9024586', 'end_date': datetime.datetime(2012, 5, 27, 5, 58, 25), 'start_time': datetime.datetime(2011, 10, 26, 23, 29, 24), 'rate': 3, 'updated_at': datetime.datetime(2013, 2, 24, 20, 30, 13), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
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{'_id': '7d4cfd03-6082-4f3f-a045-95b99c565ea2', 'job_description': 'User-friendly bottom-line toolset', 'start_date': datetime.datetime(2018, 10, 11, 3, 23, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 2, 3, 43, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 5, 7, 57, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'abb92b15-9614-4157-856f-f2913dd1deb1', 'end_date': datetime.datetime(2010, 9, 17, 4, 36, 13), 'start_time': datetime.datetime(2016, 2, 23, 18, 22, 5), 'rate': 2, 'updated_at': datetime.datetime(2011, 6, 16, 9, 48, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
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{'_id': '7861c07c-e49b-4269-aa5d-3e26e8da0e57', 'job_description': 'Profound disintermediate encoding', 'start_date': datetime.datetime(2017, 4, 16, 10, 21, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 23, 9, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 9, 0, 56, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '261a9e3d-338f-4d36-8648-55da491a15a4', 'end_date': datetime.datetime(2014, 7, 28, 3, 28, 52), 'start_time': datetime.datetime(2018, 5, 12, 2, 12, 22), 'rate': 4, 'updated_at': datetime.datetime(2014, 3, 19, 12, 21, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
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{'_id': 'ba454015-9b54-4013-8bff-7e224ad682c7', 'job_description': 'Inverse human-resource productivity', 'start_date': datetime.datetime(2012, 12, 5, 18, 3, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 23, 4, 36, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 23, 21, 48, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '023f47c3-f142-4e15-8c69-3968ab0aa35c', 'end_date': datetime.datetime(2017, 10, 29, 13, 47, 49), 'start_time': datetime.datetime(2018, 11, 25, 19, 55, 3), 'rate': 1, 'updated_at': datetime.datetime(2012, 9, 11, 14, 7, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '7d02e304-6c86-4f77-8e6b-5c712d8629b0', 'job_description': 'Multi-tiered mobile policy', 'start_date': datetime.datetime(2012, 8, 12, 9, 8, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 16, 23, 50, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 16, 17, 21, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '735abbfa-7ffb-495d-b8b0-4c9d6f4dfb7b', 'end_date': datetime.datetime(2013, 5, 10, 2, 44, 43), 'start_time': datetime.datetime(2011, 6, 25, 20, 10, 47), 'rate': 1, 'updated_at': datetime.datetime(2010, 1, 28, 14, 56, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
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{'_id': '1f970f73-f3d1-497b-89d7-a55405633d23', 'job_description': 'Customer-focused modular array', 'start_date': datetime.datetime(2017, 12, 31, 23, 48, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 15, 15, 24, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 29, 20, 40, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '674cc877-5b1b-46e8-b3c4-0654e39fd6b6', 'end_date': datetime.datetime(2014, 7, 4, 21, 45, 6), 'start_time': datetime.datetime(2019, 3, 4, 3, 38, 26), 'rate': 4, 'updated_at': datetime.datetime(2012, 6, 16, 6, 27, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
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{'_id': '12c4c757-b6da-448e-b226-c4487237fbe6', 'job_description': 'Digitized web-enabled solution', 'start_date': datetime.datetime(2012, 2, 22, 1, 8, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 29, 17, 27, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 9, 21, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2d4ccc98-b0ed-4051-a9db-327bb6e0b5fe', 'end_date': datetime.datetime(2011, 4, 5, 17, 17, 20), 'start_time': datetime.datetime(2012, 1, 30, 17, 19, 56), 'rate': 5, 'updated_at': datetime.datetime(2011, 3, 15, 0, 53, 58), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
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{'_id': 'ad30eb4c-dba0-4c97-8e47-4ad66554e873', 'job_description': 'Balanced tangible moderator', 'start_date': datetime.datetime(2014, 12, 10, 7, 6, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 26, 16, 6, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 7, 20, 16, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a7d2ac7-7300-4203-8bc5-3459d3fae7cd', 'end_date': datetime.datetime(2014, 6, 9, 18, 55, 28), 'start_time': datetime.datetime(2010, 9, 30, 12, 16, 18), 'rate': 2, 'updated_at': datetime.datetime(2019, 4, 14, 22, 9, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
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{'_id': 'cf95e345-e997-4862-b2bc-82730615f6ab', 'job_description': 'Grass-roots composite installation', 'start_date': datetime.datetime(2015, 6, 28, 9, 32, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 7, 8, 52, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 22, 17, 21, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '476c32db-b829-409a-a6f2-073170524236', 'end_date': datetime.datetime(2010, 8, 18, 9, 4, 26), 'start_time': datetime.datetime(2010, 5, 11, 3, 8, 18), 'rate': 1, 'updated_at': datetime.datetime(2015, 1, 13, 23, 48, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '59be5cdc-b6ac-4daa-86fc-4cfbe59a036d', 'job_description': 'Intuitive cohesive superstructure', 'start_date': datetime.datetime(2010, 10, 16, 10, 39, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 28, 20, 41, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 30, 14, 56, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c09f61c6-a7a7-4a27-beb1-0994f86894cf', 'end_date': datetime.datetime(2010, 9, 9, 16, 58, 51), 'start_time': datetime.datetime(2012, 6, 22, 15, 56, 42), 'rate': 2, 'updated_at': datetime.datetime(2013, 7, 26, 6, 58, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
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{'_id': '36811a0a-aff4-4b5d-aca9-6fc1cfffafcb', 'job_description': 'Synergistic clear-thinking neural-net', 'start_date': datetime.datetime(2014, 11, 21, 4, 23, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 9, 2, 0, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 14, 15, 50, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '01801b24-78ab-4c08-b34c-d8f562edc9e1', 'end_date': datetime.datetime(2013, 3, 3, 20, 2, 55), 'start_time': datetime.datetime(2016, 8, 25, 15, 41, 22), 'rate': 2, 'updated_at': datetime.datetime(2012, 6, 25, 7, 27, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
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{'_id': 'e065731b-42c7-46c9-83bd-33dac4f99838', 'job_description': 'Function-based web-enabled database', 'start_date': datetime.datetime(2019, 8, 27, 10, 19, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 21, 0, 56, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 16, 10, 7, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4c74dd25-e0e3-4117-92f3-ddfe67f36f1f', 'end_date': datetime.datetime(2010, 2, 2, 11, 59, 54), 'start_time': datetime.datetime(2016, 12, 12, 10, 23, 49), 'rate': 4, 'updated_at': datetime.datetime(2015, 4, 8, 3, 45, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Trinidad and Tobago', 'special_note': 'thanks'}
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{'_id': 'd0b3e8a8-51e2-4109-95b7-cee92c14e378', 'job_description': 'Streamlined full-range alliance', 'start_date': datetime.datetime(2015, 10, 31, 11, 18, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 25, 5, 16, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 7, 14, 20, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c350a2b-dfb8-40c6-a2c5-98d6d3a728a7', 'end_date': datetime.datetime(2011, 10, 16, 6, 16, 38), 'start_time': datetime.datetime(2012, 12, 15, 19, 51, 4), 'rate': 3, 'updated_at': datetime.datetime(2018, 9, 10, 14, 30, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
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{'_id': '3b863cce-6dfb-4406-8815-09f3ab2d9f01', 'job_description': 'Seamless tertiary definition', 'start_date': datetime.datetime(2015, 1, 17, 16, 36, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 28, 9, 16, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 6, 8, 11, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ef63351a-16d2-423c-86ba-580c0198c052', 'end_date': datetime.datetime(2015, 11, 14, 15, 21, 29), 'start_time': datetime.datetime(2017, 9, 2, 14, 10, 7), 'rate': 5, 'updated_at': datetime.datetime(2012, 2, 4, 9, 49, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
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{'_id': 'e764bcb0-0ffc-4e30-a979-16042139d93b', 'job_description': 'Robust fault-tolerant data-warehouse', 'start_date': datetime.datetime(2014, 2, 5, 4, 45, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 10, 0, 18, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 18, 17, 59, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1811f01b-fe7d-4ae3-893e-4a1d9937ea49', 'end_date': datetime.datetime(2014, 11, 17, 10, 55, 31), 'start_time': datetime.datetime(2014, 11, 29, 21, 51, 34), 'rate': 3, 'updated_at': datetime.datetime(2014, 8, 11, 21, 36, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Rwanda', 'special_note': 'thanks'}
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{'_id': 'fb10c851-9c10-4fab-a638-703727e0e73c', 'job_description': 'Extended systematic Graphic Interface', 'start_date': datetime.datetime(2018, 7, 8, 11, 42, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 19, 17, 1, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 8, 16, 6, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc08fdfd-4268-4b9f-ad96-da254994ba89', 'end_date': datetime.datetime(2012, 7, 7, 11, 33, 12), 'start_time': datetime.datetime(2011, 4, 12, 1, 39, 8), 'rate': 2, 'updated_at': datetime.datetime(2010, 4, 2, 7, 0, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
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{'_id': '055a74ed-59bc-4ed6-b5e5-d978ed44b2b7', 'job_description': 'Horizontal 24/7 help-desk', 'start_date': datetime.datetime(2012, 2, 8, 0, 28, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 24, 11, 43, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 25, 3, 0, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b9e4a420-d3c7-4c76-af3f-4d0bc6fc68b9', 'end_date': datetime.datetime(2019, 10, 2, 12, 39, 4), 'start_time': datetime.datetime(2010, 2, 6, 6, 31, 41), 'rate': 4, 'updated_at': datetime.datetime(2016, 3, 2, 4, 13, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': 'df7f2fd1-cce0-4f5d-a1e3-edadbdfaab99', 'job_description': 'Innovative optimal moratorium', 'start_date': datetime.datetime(2016, 9, 22, 21, 42, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 21, 22, 29, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 26, 15, 52, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '357d583e-cebc-4f2e-bd06-a061d883cd6f', 'end_date': datetime.datetime(2016, 4, 6, 15, 8, 36), 'start_time': datetime.datetime(2013, 2, 18, 3, 53, 26), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 16, 9, 39, 40), 'job_title': 'CoffeeMaker', 'service_id': 'United States Minor Outlying Islands', 'special_note': 'thanks'}
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{'_id': '80eecd92-638f-4bae-9ae8-ca2ef3e4d36d', 'job_description': 'Team-oriented holistic customer loyalty', 'start_date': datetime.datetime(2017, 5, 11, 9, 27, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 30, 15, 4, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 12, 12, 14, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77e075a4-47d7-4473-9913-211817fa7fb7', 'end_date': datetime.datetime(2014, 7, 20, 1, 1, 29), 'start_time': datetime.datetime(2014, 6, 29, 2, 42, 54), 'rate': 1, 'updated_at': datetime.datetime(2012, 11, 1, 12, 26, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Aruba', 'special_note': 'thanks'}
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{'_id': '75a27a9f-e388-4d92-b107-e209616f7d7e', 'job_description': 'Vision-oriented context-sensitive capability', 'start_date': datetime.datetime(2017, 5, 7, 9, 25, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 12, 15, 37, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 17, 2, 20, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c0b9abcf-de09-4b64-bb80-bbf258d4ffaf', 'end_date': datetime.datetime(2011, 11, 20, 6, 52, 45), 'start_time': datetime.datetime(2013, 7, 17, 2, 16, 23), 'rate': 2, 'updated_at': datetime.datetime(2013, 4, 14, 21, 28, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '488ee75a-a193-4d1e-81d4-e862768b9cd0', 'job_description': 'Seamless 3rd generation circuit', 'start_date': datetime.datetime(2015, 10, 23, 3, 21, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 15, 3, 24, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 10, 10, 4, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f29d80fd-e866-4342-a903-59feb1481465', 'end_date': datetime.datetime(2017, 1, 7, 5, 46, 49), 'start_time': datetime.datetime(2012, 8, 8, 15, 33, 31), 'rate': 5, 'updated_at': datetime.datetime(2016, 1, 26, 21, 20, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'be9c2eaf-63c2-4bf2-acef-02fbf4d7f4d2', 'job_description': 'Innovative explicit array', 'start_date': datetime.datetime(2013, 12, 6, 7, 39, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 21, 2, 15, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 26, 23, 11, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9b27d9d2-ad47-43d8-a333-66945404ad4f', 'end_date': datetime.datetime(2019, 7, 19, 14, 41, 4), 'start_time': datetime.datetime(2019, 10, 3, 0, 54, 2), 'rate': 1, 'updated_at': datetime.datetime(2014, 6, 12, 18, 35, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b5c85496-1179-445c-82c4-571405c625a4', 'job_description': 'Secured zero tolerance installation', 'start_date': datetime.datetime(2018, 6, 24, 2, 16, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 3, 22, 28, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 26, 8, 59, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc9aeae6-ad77-4720-b3e2-06714976c4e8', 'end_date': datetime.datetime(2012, 1, 27, 13, 55, 39), 'start_time': datetime.datetime(2014, 1, 27, 2, 45, 24), 'rate': 1, 'updated_at': datetime.datetime(2014, 10, 20, 1, 30, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '506e751e-8f85-45f4-b2c7-2b84f1811db2', 'job_description': 'Synergized maximized attitude', 'start_date': datetime.datetime(2013, 5, 8, 20, 57, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 17, 22, 37, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 13, 15, 18, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb2c11eb-4112-4dda-a4a0-bca61d2b17ea', 'end_date': datetime.datetime(2013, 2, 7, 20, 0, 26), 'start_time': datetime.datetime(2018, 4, 25, 2, 44, 4), 'rate': 3, 'updated_at': datetime.datetime(2016, 5, 9, 4, 58, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Ukraine', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd53bfce3-46d4-4694-92b7-fabc97c9cc06', 'job_description': 'Expanded intangible knowledge user', 'start_date': datetime.datetime(2016, 6, 20, 14, 15, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 11, 4, 53, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 8, 12, 0, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b0005d4d-e97f-4c67-a915-1af23aaaa4d6', 'end_date': datetime.datetime(2015, 2, 18, 19, 49, 56), 'start_time': datetime.datetime(2019, 11, 17, 3, 4, 2), 'rate': 1, 'updated_at': datetime.datetime(2011, 9, 2, 14, 23, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7d1187e5-c3c1-463e-a5af-80bad4be32a8', 'job_description': 'Adaptive grid-enabled moratorium', 'start_date': datetime.datetime(2012, 9, 2, 21, 19, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 15, 22, 52, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 3, 10, 11, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '52511c8d-8ddf-4138-b088-e2b096dadc28', 'end_date': datetime.datetime(2019, 7, 1, 14, 29, 24), 'start_time': datetime.datetime(2014, 12, 5, 22, 10, 17), 'rate': 2, 'updated_at': datetime.datetime(2015, 12, 20, 1, 10, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1803add0-7656-4e51-bf68-0518a0fb62a3', 'job_description': 'Integrated mobile interface', 'start_date': datetime.datetime(2018, 12, 29, 16, 2, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 11, 14, 11, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 23, 18, 25, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '85247ac8-e9a7-43ce-89cb-00a7d3c55f0d', 'end_date': datetime.datetime(2014, 2, 7, 2, 24, 10), 'start_time': datetime.datetime(2010, 3, 16, 13, 40, 26), 'rate': 3, 'updated_at': datetime.datetime(2011, 7, 10, 22, 19, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5a7251c-28f1-415b-bdd6-4f71b6d22703', 'job_description': 'Enterprise-wide 5th generation circuit', 'start_date': datetime.datetime(2012, 4, 9, 18, 20, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 13, 4, 3, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 28, 0, 12, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8b7f21d6-549b-4095-9d8d-8a726b8bcd7f', 'end_date': datetime.datetime(2010, 1, 27, 9, 35, 9), 'start_time': datetime.datetime(2019, 10, 6, 21, 53, 9), 'rate': 1, 'updated_at': datetime.datetime(2016, 10, 15, 17, 3, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0eff1211-dc23-45c1-ae14-1f4f2a13d202', 'job_description': 'Implemented full-range help-desk', 'start_date': datetime.datetime(2017, 2, 15, 11, 13, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 28, 11, 49, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 10, 15, 34, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4986331f-31ed-427a-80f7-1b328b6d52e2', 'end_date': datetime.datetime(2014, 3, 31, 15, 23, 45), 'start_time': datetime.datetime(2012, 7, 19, 17, 39, 33), 'rate': 2, 'updated_at': datetime.datetime(2014, 10, 31, 9, 27, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e5ff125d-a72c-4b34-bb14-8d62292819a8', 'job_description': 'Fundamental demand-driven secured line', 'start_date': datetime.datetime(2017, 3, 26, 3, 32, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 26, 17, 4, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 28, 6, 3, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a998f2e9-95b5-4d4a-8890-cab9bb88482a', 'end_date': datetime.datetime(2014, 5, 22, 22, 0, 10), 'start_time': datetime.datetime(2011, 12, 22, 4, 43, 34), 'rate': 3, 'updated_at': datetime.datetime(2015, 6, 29, 7, 44, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'be0ddab5-42e1-490a-9357-708aef2241da', 'job_description': 'Ameliorated solution-oriented budgetary management', 'start_date': datetime.datetime(2016, 4, 10, 1, 59, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 21, 5, 30, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 16, 16, 6, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dbfcdd1b-97ae-4330-a0b2-0ad04042ff25', 'end_date': datetime.datetime(2011, 7, 9, 23, 21, 7), 'start_time': datetime.datetime(2019, 4, 26, 18, 36, 40), 'rate': 2, 'updated_at': datetime.datetime(2013, 9, 7, 1, 55, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ec2c4e4-7800-491d-b0ac-ea1b64dbcde3', 'job_description': 'Switchable analyzing flexibility', 'start_date': datetime.datetime(2012, 7, 26, 5, 45, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 7, 6, 24, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 29, 16, 39, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7c34f643-ca7c-483b-97f4-818b65e358b1', 'end_date': datetime.datetime(2017, 3, 21, 20, 41, 43), 'start_time': datetime.datetime(2010, 1, 22, 13, 32, 37), 'rate': 2, 'updated_at': datetime.datetime(2012, 9, 1, 19, 46, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Cook Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cde5c62f-637f-401f-a45f-44371c370cb3', 'job_description': 'Networked disintermediate intranet', 'start_date': datetime.datetime(2015, 12, 21, 21, 0, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 6, 16, 0, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 8, 15, 13, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b3888c83-bbb6-4c90-b9d9-a6fcb5f2c090', 'end_date': datetime.datetime(2014, 1, 24, 6, 12, 10), 'start_time': datetime.datetime(2011, 3, 23, 5, 17, 26), 'rate': 5, 'updated_at': datetime.datetime(2012, 10, 29, 13, 55, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10040800-fd0c-427e-8842-e16791cfd3fb', 'job_description': 'Multi-lateral bi-directional installation', 'start_date': datetime.datetime(2014, 3, 20, 0, 7, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 2, 2, 24, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 12, 20, 28, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '39b1c6b7-fb39-4289-a919-7c7936095693', 'end_date': datetime.datetime(2013, 3, 12, 5, 0, 5), 'start_time': datetime.datetime(2012, 12, 10, 15, 3, 45), 'rate': 3, 'updated_at': datetime.datetime(2012, 6, 30, 13, 46, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c39c60c1-6099-44bd-a085-c478783c6efa', 'job_description': 'Front-line clear-thinking website', 'start_date': datetime.datetime(2014, 6, 27, 11, 52, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 26, 21, 16, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 5, 7, 19, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '27c2b0a2-5f74-49d5-b28f-ef5b5b630b7f', 'end_date': datetime.datetime(2011, 11, 25, 0, 19, 17), 'start_time': datetime.datetime(2011, 5, 19, 18, 58, 16), 'rate': 1, 'updated_at': datetime.datetime(2015, 7, 24, 5, 56, 36), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f790600d-b53c-457b-afdb-e5c1dbcb035a', 'job_description': 'Profit-focused interactive productivity', 'start_date': datetime.datetime(2010, 7, 25, 2, 12, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 7, 12, 20, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 27, 19, 40, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cb76f3c5-fd3c-44d8-8a29-9c1d4b148012', 'end_date': datetime.datetime(2010, 5, 13, 0, 20, 9), 'start_time': datetime.datetime(2017, 11, 15, 12, 23, 42), 'rate': 2, 'updated_at': datetime.datetime(2013, 6, 24, 15, 30, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de194eaa-9cec-4a53-b952-a53fed332198', 'job_description': 'Pre-emptive systemic frame', 'start_date': datetime.datetime(2010, 1, 26, 11, 51, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 13, 4, 9, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 29, 23, 19, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '04dd5ec2-d85a-4b32-acf9-9209fc038a1f', 'end_date': datetime.datetime(2019, 11, 4, 11, 24, 38), 'start_time': datetime.datetime(2018, 7, 7, 23, 33, 11), 'rate': 5, 'updated_at': datetime.datetime(2011, 6, 16, 18, 13, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a17521b8-2dad-4673-a801-b02a6a1251ab', 'job_description': 'Down-sized high-level moratorium', 'start_date': datetime.datetime(2015, 3, 5, 13, 51, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 7, 12, 9, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 27, 0, 13, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '62024fd8-d04c-4549-87ce-dd5a97c24bf0', 'end_date': datetime.datetime(2018, 3, 7, 1, 58, 9), 'start_time': datetime.datetime(2017, 4, 29, 13, 59, 31), 'rate': 4, 'updated_at': datetime.datetime(2017, 5, 31, 22, 45, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7b1b3f66-a75c-4490-a8d4-d95cdda4ced1', 'job_description': 'Reverse-engineered leading edge algorithm', 'start_date': datetime.datetime(2018, 5, 17, 23, 46, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 1, 8, 33, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 29, 9, 12, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4e896426-ef69-4ce3-8c79-447b173c40c1', 'end_date': datetime.datetime(2010, 4, 5, 11, 29, 37), 'start_time': datetime.datetime(2014, 12, 7, 6, 43, 12), 'rate': 4, 'updated_at': datetime.datetime(2013, 9, 30, 23, 37, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6a2b3431-83c1-481a-a24d-07edd139467d', 'job_description': 'Progressive multimedia challenge', 'start_date': datetime.datetime(2012, 2, 25, 21, 9, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 16, 3, 6, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 1, 3, 39, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '79b8b4fe-3d67-49e3-a255-1513484b33fc', 'end_date': datetime.datetime(2019, 9, 24, 9, 4, 18), 'start_time': datetime.datetime(2017, 7, 11, 17, 8, 38), 'rate': 1, 'updated_at': datetime.datetime(2015, 5, 5, 21, 23, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a991cf9f-5d87-4ea9-a625-a225d1f251d4', 'job_description': 'Innovative contextually-based model', 'start_date': datetime.datetime(2017, 2, 15, 19, 42, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 22, 2, 57, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 11, 6, 9, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f6bf272-dca0-4d13-8b4c-7cebaa6f249d', 'end_date': datetime.datetime(2011, 12, 15, 14, 18, 4), 'start_time': datetime.datetime(2017, 7, 2, 0, 40, 58), 'rate': 1, 'updated_at': datetime.datetime(2017, 5, 15, 10, 45, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f1545475-980e-46e8-8592-d5ba505c68b0', 'job_description': 'Self-enabling exuding Graphical User Interface', 'start_date': datetime.datetime(2014, 9, 6, 12, 20, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 12, 2, 26, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 19, 3, 0), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cd4ccfcb-e4dd-4b7c-ac1f-eed8ae8dde2c', 'end_date': datetime.datetime(2017, 1, 16, 11, 3, 3), 'start_time': datetime.datetime(2015, 2, 16, 15, 57, 52), 'rate': 3, 'updated_at': datetime.datetime(2013, 3, 29, 4, 54, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Bahamas', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '310592b4-a3dc-4b25-817a-124a55173338', 'job_description': 'Configurable optimizing process improvement', 'start_date': datetime.datetime(2019, 4, 27, 6, 16, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 13, 21, 46, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 22, 13, 19, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8daf3787-29da-485d-89f9-4e30908da79e', 'end_date': datetime.datetime(2010, 7, 29, 23, 59, 30), 'start_time': datetime.datetime(2016, 9, 29, 19, 25, 38), 'rate': 5, 'updated_at': datetime.datetime(2017, 1, 16, 3, 35, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Palestinian Territory', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '436602af-33c3-48af-865f-c4fccdb33cc8', 'job_description': 'Organic web-enabled function', 'start_date': datetime.datetime(2019, 5, 1, 23, 18, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 14, 3, 0, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 14, 14, 10, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bba8ac3c-ce0e-4e2c-8545-a864cc7c3453', 'end_date': datetime.datetime(2015, 11, 20, 10, 37, 40), 'start_time': datetime.datetime(2014, 10, 17, 13, 42, 6), 'rate': 5, 'updated_at': datetime.datetime(2019, 6, 23, 11, 24, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Cambodia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2c4ffd18-3521-4521-9225-10a37a89467b', 'job_description': 'Proactive leading edge workforce', 'start_date': datetime.datetime(2010, 3, 8, 12, 55, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 23, 18, 50, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 5, 13, 22, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '64125283-e06c-4748-800d-5ec420334f17', 'end_date': datetime.datetime(2014, 12, 13, 9, 5, 16), 'start_time': datetime.datetime(2013, 10, 11, 15, 34, 17), 'rate': 5, 'updated_at': datetime.datetime(2014, 7, 16, 16, 48, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Eritrea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '431f0801-f03e-4362-b436-23928b854097', 'job_description': 'Automated maximized paradigm', 'start_date': datetime.datetime(2013, 12, 16, 21, 32, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 5, 6, 48, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 26, 5, 59, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44be8020-1e08-46b7-bba9-f579ca685974', 'end_date': datetime.datetime(2017, 10, 16, 6, 8, 24), 'start_time': datetime.datetime(2012, 6, 14, 17, 3, 17), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 25, 19, 14, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Bosnia and Herzegovina', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '93a6b8ec-f4db-4907-8dd3-8d304cb51727', 'job_description': 'Enhanced assymetric structure', 'start_date': datetime.datetime(2016, 2, 13, 19, 16, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 8, 23, 31, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 8, 4, 36, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9f07d595-892c-4bbb-b2bc-911f441e9671', 'end_date': datetime.datetime(2016, 3, 15, 22, 43, 54), 'start_time': datetime.datetime(2011, 7, 5, 4, 41, 1), 'rate': 2, 'updated_at': datetime.datetime(2019, 8, 1, 8, 33, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f3b782c4-2412-418e-bba1-bde669e21b87', 'job_description': 'Upgradable analyzing concept', 'start_date': datetime.datetime(2016, 4, 7, 21, 37, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 31, 10, 50, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 13, 18, 57, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '08979349-8d7c-433d-b270-66d3f8bb5d31', 'end_date': datetime.datetime(2015, 10, 19, 1, 39, 22), 'start_time': datetime.datetime(2015, 12, 1, 6, 21, 9), 'rate': 1, 'updated_at': datetime.datetime(2017, 11, 10, 11, 2, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '75935cde-09e5-494e-ba08-9d8a049a26ef', 'job_description': 'Profound maximized focus group', 'start_date': datetime.datetime(2014, 6, 22, 7, 20, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 15, 16, 25, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 9, 0, 5, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8b95daf9-786b-4565-88ec-d41beeb66ad8', 'end_date': datetime.datetime(2018, 9, 15, 10, 1, 43), 'start_time': datetime.datetime(2018, 3, 2, 0, 46, 11), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 2, 16, 8, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '096689c0-0dfe-4379-a150-f0d811ff08c5', 'job_description': 'Organized fault-tolerant orchestration', 'start_date': datetime.datetime(2017, 12, 12, 19, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 3, 23, 4, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 27, 17, 12, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4e088b1c-7481-4f3e-a5ce-115ed8a0cc95', 'end_date': datetime.datetime(2011, 10, 4, 23, 48, 1), 'start_time': datetime.datetime(2018, 3, 9, 6, 41, 22), 'rate': 1, 'updated_at': datetime.datetime(2010, 1, 17, 4, 30, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eb1c07de-f334-4928-857b-89e68123806f', 'job_description': 'Phased regional migration', 'start_date': datetime.datetime(2015, 5, 8, 4, 12, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 25, 20, 55, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 3, 19, 29, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf64e5a5-1bcf-4cf9-8598-8da1614438a4', 'end_date': datetime.datetime(2010, 6, 8, 22, 1, 2), 'start_time': datetime.datetime(2012, 9, 29, 7, 39, 13), 'rate': 3, 'updated_at': datetime.datetime(2012, 10, 31, 20, 7, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '24abf021-bbf5-4eaa-b5a4-7f3c45853cea', 'job_description': 'Configurable secondary emulation', 'start_date': datetime.datetime(2015, 6, 18, 17, 58, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 30, 0, 11, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 22, 20, 44, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eeede35e-ee90-4765-8e5a-b7a0345c15b4', 'end_date': datetime.datetime(2017, 1, 30, 11, 33, 56), 'start_time': datetime.datetime(2019, 6, 24, 5, 17, 49), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 28, 16, 1, 10), 'job_title': 'CoffeeMaker', 'service_id': 'British Indian Ocean Territory (Chagos Archipelago)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a57f5dd1-b5e6-4447-8de3-d85c8b9b0f45', 'job_description': 'Total impactful installation', 'start_date': datetime.datetime(2013, 11, 13, 23, 59, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 26, 5, 7, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 7, 14, 56, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '97c9bba3-c2be-4e9a-9247-7078e89d623a', 'end_date': datetime.datetime(2015, 7, 20, 5, 11, 40), 'start_time': datetime.datetime(2018, 10, 8, 13, 19, 52), 'rate': 3, 'updated_at': datetime.datetime(2018, 11, 6, 1, 0), 'job_title': 'CoffeeMaker', 'service_id': 'Tokelau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '025f249b-0a1a-4213-96b5-b9bd6419a5db', 'job_description': 'Profit-focused local productivity', 'start_date': datetime.datetime(2010, 6, 17, 16, 49, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 9, 17, 42, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 9, 7, 19, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dcc3bcfd-73b4-4135-bdae-411b027041ca', 'end_date': datetime.datetime(2013, 11, 14, 10, 54, 27), 'start_time': datetime.datetime(2014, 10, 31, 13, 39, 23), 'rate': 3, 'updated_at': datetime.datetime(2015, 11, 24, 23, 11, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3a1ec26f-fe83-47ea-9dd1-ff72ab51e33a', 'job_description': 'Synergized upward-trending data-warehouse', 'start_date': datetime.datetime(2011, 6, 25, 13, 51, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 15, 1, 18, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 21, 8, 6, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3dac6ff3-6ccc-46cd-aa35-89cea2eee753', 'end_date': datetime.datetime(2011, 7, 21, 11, 5, 58), 'start_time': datetime.datetime(2019, 7, 31, 12, 42, 25), 'rate': 1, 'updated_at': datetime.datetime(2019, 11, 18, 8, 47, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '32ed847e-dd5b-4db6-ae05-9af81d3f4f4a', 'job_description': 'Seamless 5th generation circuit', 'start_date': datetime.datetime(2012, 7, 5, 19, 18, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 9, 4, 57, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 19, 22, 35, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4486c70d-8e0a-4102-9356-66a6a79e49e9', 'end_date': datetime.datetime(2010, 6, 20, 19, 11, 40), 'start_time': datetime.datetime(2018, 7, 26, 0, 33, 57), 'rate': 1, 'updated_at': datetime.datetime(2012, 10, 11, 22, 26, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '99dfb790-8c3d-4b5e-932e-41eaf96c6d9b', 'job_description': 'Face to face 5th generation knowledge user', 'start_date': datetime.datetime(2011, 6, 2, 21, 54, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 27, 10, 31, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 21, 1, 3, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '863f04ec-084a-4fe1-a122-ac4c67ccce95', 'end_date': datetime.datetime(2015, 3, 28, 13, 14, 4), 'start_time': datetime.datetime(2010, 9, 19, 11, 50, 5), 'rate': 2, 'updated_at': datetime.datetime(2018, 10, 11, 12, 54, 35), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3f1d982d-0be1-49b7-8fa0-d931e7339618', 'job_description': 'Progressive contextually-based hub', 'start_date': datetime.datetime(2013, 5, 27, 1, 38, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 28, 2, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 25, 1, 18, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2cbacb27-8e70-4b40-94e4-3579e72dbe1a', 'end_date': datetime.datetime(2018, 3, 24, 0, 40, 10), 'start_time': datetime.datetime(2014, 1, 8, 2, 32, 23), 'rate': 2, 'updated_at': datetime.datetime(2019, 10, 19, 9, 21, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '825446f1-e87f-44c2-b668-2163f1f77ecb', 'job_description': 'Visionary 6th generation intranet', 'start_date': datetime.datetime(2013, 12, 29, 20, 27, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 24, 4, 17, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 6, 19, 25, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5b66dff-ed7c-49bc-a383-a463bb80fcd5', 'end_date': datetime.datetime(2017, 10, 2, 6, 35, 31), 'start_time': datetime.datetime(2010, 10, 9, 22, 34, 2), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 1, 6, 42, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dfac8c4b-d69a-414a-9182-56b87e4bd1a4', 'job_description': 'Extended bifurcated service-desk', 'start_date': datetime.datetime(2017, 7, 28, 2, 5, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 22, 12, 39, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 22, 16, 57, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd1dea234-b760-4d00-b234-d4ef9cd50a95', 'end_date': datetime.datetime(2017, 6, 18, 21, 45, 45), 'start_time': datetime.datetime(2019, 4, 19, 16, 47, 7), 'rate': 5, 'updated_at': datetime.datetime(2019, 7, 22, 10, 54, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cf852ef6-8dbe-4215-99db-85ff86281df0', 'job_description': 'Multi-lateral systematic benchmark', 'start_date': datetime.datetime(2016, 7, 18, 7, 10, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 8, 6, 32, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 26, 22, 59, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2ba9c757-a5c2-40aa-88f5-2719cfd326e4', 'end_date': datetime.datetime(2016, 5, 18, 13, 54, 45), 'start_time': datetime.datetime(2013, 12, 11, 15, 56, 57), 'rate': 5, 'updated_at': datetime.datetime(2014, 10, 29, 2, 16, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '40f611e4-54bb-4033-b5a4-3a155acf1142', 'job_description': 'Innovative contextually-based solution', 'start_date': datetime.datetime(2013, 12, 8, 18, 44, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 9, 21, 47, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 11, 14, 38, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '42f4732b-d8c0-4a68-abe8-d8ff38ccc7a1', 'end_date': datetime.datetime(2011, 11, 23, 8, 55, 33), 'start_time': datetime.datetime(2011, 9, 12, 13, 18, 34), 'rate': 5, 'updated_at': datetime.datetime(2010, 3, 28, 16, 40, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd0046c8e-8e8f-4cb5-8df2-11b916f9a75a', 'job_description': 'Configurable 3rd generation architecture', 'start_date': datetime.datetime(2014, 5, 6, 10, 25, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 11, 8, 47, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 28, 20, 36, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '75e82a8f-9cef-4688-8943-d66fd631fa86', 'end_date': datetime.datetime(2014, 1, 14, 17, 46, 39), 'start_time': datetime.datetime(2017, 11, 10, 18, 33, 31), 'rate': 2, 'updated_at': datetime.datetime(2015, 7, 22, 1, 11, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f8d28d4e-10ff-4ed6-8d1f-92526b054d55', 'job_description': 'Persevering eco-centric knowledge user', 'start_date': datetime.datetime(2014, 6, 5, 11, 53, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 6, 0, 6, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 6, 7, 19, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b3d427c3-80e5-4f8b-bd7c-5bf893b5f4fc', 'end_date': datetime.datetime(2010, 6, 15, 1, 44, 3), 'start_time': datetime.datetime(2018, 11, 22, 2, 18, 22), 'rate': 4, 'updated_at': datetime.datetime(2015, 7, 12, 8, 24, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
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{'_id': 'd930d41d-d9f8-4415-8646-5696ac27674e', 'job_description': 'Synergized 24 hour archive', 'start_date': datetime.datetime(2018, 4, 13, 11, 15, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 23, 13, 31, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 14, 17, 19, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '72880cfd-b17c-4019-b201-3195f3cb552d', 'end_date': datetime.datetime(2016, 12, 11, 17, 32, 35), 'start_time': datetime.datetime(2015, 6, 24, 21, 4, 57), 'rate': 5, 'updated_at': datetime.datetime(2019, 6, 4, 14, 21, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Benin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10174c33-042d-448f-8e32-acfdb05362ac', 'job_description': 'Fundamental non-volatile Graphical User Interface', 'start_date': datetime.datetime(2016, 12, 6, 6, 57, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 26, 3, 45, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 5, 17, 51, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dfa5a6c0-5df9-4bc4-bab3-27b973b5b182', 'end_date': datetime.datetime(2014, 10, 3, 10, 5, 7), 'start_time': datetime.datetime(2018, 3, 8, 6, 19, 22), 'rate': 4, 'updated_at': datetime.datetime(2018, 7, 13, 11, 18, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b5e40bd1-c890-493e-a19c-1ca2a726856c', 'job_description': 'Sharable zero tolerance encryption', 'start_date': datetime.datetime(2017, 10, 11, 18, 3, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 18, 1, 17, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 28, 10, 29, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b82710b5-6a48-468c-b9b5-8f7c3871ac34', 'end_date': datetime.datetime(2015, 10, 6, 21, 28, 45), 'start_time': datetime.datetime(2010, 10, 9, 20, 46, 48), 'rate': 5, 'updated_at': datetime.datetime(2017, 7, 10, 17, 49, 7), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '294e5ad9-ea3a-4812-bf31-11eef7fceb27', 'job_description': 'Stand-alone tangible flexibility', 'start_date': datetime.datetime(2014, 4, 10, 9, 49, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 29, 20, 42, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 31, 19, 22, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1ca94b7a-a435-4ae6-8c52-a49b907e6b23', 'end_date': datetime.datetime(2013, 9, 23, 6, 6, 42), 'start_time': datetime.datetime(2017, 3, 23, 6, 59, 35), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 20, 10, 21, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78164b4f-609d-49f1-bfe5-070a6fbeb6c2', 'job_description': 'De-engineered client-server implementation', 'start_date': datetime.datetime(2010, 10, 27, 18, 2, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 25, 6, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 31, 1, 11, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af72362f-1778-46cc-85f3-9acfb44b488b', 'end_date': datetime.datetime(2014, 3, 23, 2, 2, 24), 'start_time': datetime.datetime(2015, 8, 12, 8, 5, 37), 'rate': 1, 'updated_at': datetime.datetime(2012, 11, 8, 14, 1, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f103655b-25c9-435c-ae1c-c6969611e70c', 'job_description': 'Reactive web-enabled portal', 'start_date': datetime.datetime(2012, 6, 13, 2, 45, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 14, 0, 32, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 23, 11, 54, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0eee9871-2320-4d8b-940f-76efa7f1a3c5', 'end_date': datetime.datetime(2010, 2, 20, 22, 24, 54), 'start_time': datetime.datetime(2016, 2, 1, 0, 31, 7), 'rate': 1, 'updated_at': datetime.datetime(2018, 3, 14, 13, 15, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f5fbfdb3-1c9e-4dff-86de-46832eababaf', 'job_description': 'Team-oriented radical firmware', 'start_date': datetime.datetime(2016, 9, 12, 3, 58, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 9, 8, 14, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 16, 16, 50, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '56a83ff2-4868-4679-9a08-a6c0d161dad8', 'end_date': datetime.datetime(2016, 9, 19, 21, 35, 55), 'start_time': datetime.datetime(2011, 1, 21, 2, 22, 8), 'rate': 3, 'updated_at': datetime.datetime(2013, 10, 27, 2, 26, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Pakistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '967934fa-838f-41fb-91a0-5dfc6ee1343e', 'job_description': 'Configurable maximized algorithm', 'start_date': datetime.datetime(2014, 8, 29, 0, 13, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 15, 11, 53, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 15, 0, 6, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0a56f49-d0d5-465b-b68a-bc685e9eadc5', 'end_date': datetime.datetime(2017, 10, 1, 3, 29, 22), 'start_time': datetime.datetime(2013, 2, 13, 5, 39, 59), 'rate': 4, 'updated_at': datetime.datetime(2013, 9, 18, 1, 2, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '02d010bc-82a6-40b4-8ee4-08bda56e6671', 'job_description': 'Multi-channelled user-facing data-warehouse', 'start_date': datetime.datetime(2017, 2, 17, 1, 3, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 2, 11, 46, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 11, 7, 45, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ce4c24e8-36e9-4315-86ad-6a6bf8921b4a', 'end_date': datetime.datetime(2014, 2, 14, 9, 9, 40), 'start_time': datetime.datetime(2019, 4, 8, 18, 0, 22), 'rate': 5, 'updated_at': datetime.datetime(2015, 9, 2, 16, 8, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '740ee150-af6b-4f9c-b0d2-a2e84b492fc5', 'job_description': 'Function-based bottom-line hub', 'start_date': datetime.datetime(2015, 5, 13, 10, 26, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 18, 3, 14, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 13, 17, 0, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '427d77cd-ef68-463c-a4ff-82ba03e5e9fe', 'end_date': datetime.datetime(2013, 10, 17, 9, 12, 3), 'start_time': datetime.datetime(2019, 9, 4, 1, 18, 47), 'rate': 3, 'updated_at': datetime.datetime(2012, 6, 7, 3, 5, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '13416493-8eab-4b4f-b64e-1cf9f0ede4c9', 'job_description': 'Decentralized user-facing function', 'start_date': datetime.datetime(2011, 11, 25, 16, 32, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 25, 16, 24, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 2, 21, 52, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f808ea1-0b6f-49a0-af7f-1c5e7aaf0190', 'end_date': datetime.datetime(2016, 4, 8, 22, 58, 17), 'start_time': datetime.datetime(2014, 4, 24, 19, 6, 1), 'rate': 5, 'updated_at': datetime.datetime(2011, 3, 21, 19, 7, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a845bda1-a115-4c82-b6c6-b6004fc9ccef', 'job_description': 'Re-engineered dedicated array', 'start_date': datetime.datetime(2015, 10, 11, 22, 5, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 12, 6, 16, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 16, 12, 29, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ad6d5a7f-5d5f-4aba-9088-607608235df1', 'end_date': datetime.datetime(2016, 10, 7, 22, 27), 'start_time': datetime.datetime(2011, 7, 5, 7, 39, 54), 'rate': 2, 'updated_at': datetime.datetime(2014, 6, 30, 9, 31, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e70ce5bf-2333-4ad6-9bc2-631384c1a286', 'job_description': 'Operative incremental approach', 'start_date': datetime.datetime(2018, 9, 6, 13, 47, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 5, 17, 36, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 27, 17, 16, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '645a5871-fd32-4b66-b004-87cee29bdc6b', 'end_date': datetime.datetime(2012, 10, 8, 23, 55, 19), 'start_time': datetime.datetime(2015, 6, 28, 8, 20, 3), 'rate': 1, 'updated_at': datetime.datetime(2011, 5, 31, 8, 50, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7b530777-538b-44f5-a110-c7024fbd0f83', 'job_description': 'Switchable bottom-line leverage', 'start_date': datetime.datetime(2015, 12, 22, 5, 39, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 24, 18, 5, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 18, 9, 5, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f47facf-122b-4c86-87c3-d4dc6ed2347b', 'end_date': datetime.datetime(2010, 11, 1, 3, 0, 56), 'start_time': datetime.datetime(2012, 2, 18, 10, 10), 'rate': 5, 'updated_at': datetime.datetime(2012, 11, 25, 0, 39, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Bulgaria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c0ee727e-b007-477f-8e34-905b6b543067', 'job_description': 'Total systemic leverage', 'start_date': datetime.datetime(2013, 7, 11, 5, 43, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 14, 17, 42, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 11, 1, 56, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd193f206-ab4b-4e33-8297-8f98bdf27c97', 'end_date': datetime.datetime(2012, 6, 25, 13, 5, 35), 'start_time': datetime.datetime(2012, 9, 10, 0, 42, 34), 'rate': 3, 'updated_at': datetime.datetime(2012, 2, 23, 2, 31, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '345eeb10-9dc1-4f55-823c-09696d3b7258', 'job_description': 'Total actuating service-desk', 'start_date': datetime.datetime(2011, 10, 23, 6, 34, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 23, 18, 21, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 6, 6, 44, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a28448c8-4d96-445c-b55d-3c71bae155ba', 'end_date': datetime.datetime(2017, 5, 28, 6, 23, 10), 'start_time': datetime.datetime(2016, 2, 1, 9, 25, 24), 'rate': 5, 'updated_at': datetime.datetime(2016, 6, 28, 18, 50, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '55d60119-58e3-4629-9278-a66835972a40', 'job_description': 'Customer-focused scalable concept', 'start_date': datetime.datetime(2014, 4, 17, 13, 17, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 1, 5, 40, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 19, 20, 36, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'be90c734-6f9b-471a-9cac-e91e2fd75e6e', 'end_date': datetime.datetime(2018, 12, 6, 23, 11, 31), 'start_time': datetime.datetime(2013, 8, 26, 13, 36, 35), 'rate': 3, 'updated_at': datetime.datetime(2011, 4, 21, 20, 0, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '167e3e65-cb85-4442-aeb2-7666752d8f57', 'job_description': 'Pre-emptive next generation time-frame', 'start_date': datetime.datetime(2014, 2, 5, 18, 47, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 23, 5, 33, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 21, 0, 56, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9ef65e7-6870-4af7-a83d-022bd798a9c0', 'end_date': datetime.datetime(2013, 2, 19, 5, 32, 22), 'start_time': datetime.datetime(2017, 1, 26, 17, 14, 37), 'rate': 4, 'updated_at': datetime.datetime(2014, 10, 11, 20, 3, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6ce45b72-1aaf-46cf-ba9a-32f395619068', 'job_description': 'Virtual methodical service-desk', 'start_date': datetime.datetime(2019, 4, 18, 9, 28, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 31, 8, 58, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 12, 4, 15, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c20db956-d52a-4b53-b819-20019e2973c8', 'end_date': datetime.datetime(2010, 3, 13, 20, 56, 16), 'start_time': datetime.datetime(2015, 11, 16, 20, 55, 44), 'rate': 1, 'updated_at': datetime.datetime(2016, 3, 18, 10, 28, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1a43b821-ac9e-4892-a4bd-0b73821fa6c8', 'job_description': 'Open-source scalable hierarchy', 'start_date': datetime.datetime(2011, 6, 15, 2, 59, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 12, 6, 16, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 27, 11, 44, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a1f43601-8cc8-43ea-8fd2-fe0a9b85c97e', 'end_date': datetime.datetime(2014, 11, 6, 21, 8, 42), 'start_time': datetime.datetime(2014, 1, 31, 1, 8, 25), 'rate': 1, 'updated_at': datetime.datetime(2011, 12, 6, 11, 44, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1f91bb31-ab89-404d-95ef-27b80addf80d', 'job_description': 'Right-sized web-enabled process improvement', 'start_date': datetime.datetime(2014, 6, 17, 11, 25, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 27, 14, 30, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 22, 5, 54, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '70ae5986-cbf5-4f61-aade-faca1b9a348c', 'end_date': datetime.datetime(2014, 9, 18, 9, 30, 40), 'start_time': datetime.datetime(2013, 1, 15, 17, 58, 41), 'rate': 5, 'updated_at': datetime.datetime(2011, 7, 11, 8, 13, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Egypt', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '21155e3b-3dc6-4259-a06f-78705b6669d1', 'job_description': 'Visionary bottom-line knowledge base', 'start_date': datetime.datetime(2019, 5, 15, 17, 44, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 16, 11, 54, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 4, 12, 19, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57640ff9-a2c1-474e-9c72-d06d760af5a7', 'end_date': datetime.datetime(2013, 4, 5, 19, 27, 57), 'start_time': datetime.datetime(2016, 12, 31, 0, 29, 53), 'rate': 5, 'updated_at': datetime.datetime(2018, 10, 21, 2, 23, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '51c1d969-7d08-4990-8801-e79b3aa0b87d', 'job_description': 'User-centric fresh-thinking concept', 'start_date': datetime.datetime(2011, 6, 18, 11, 59, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 26, 5, 36, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 13, 9, 1, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a1835c8d-4cec-48db-b583-16f2c239a030', 'end_date': datetime.datetime(2013, 3, 23, 18, 21, 27), 'start_time': datetime.datetime(2011, 3, 11, 2, 54, 59), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 22, 10, 2, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cbe3ff5a-6ca4-49b8-9e58-39e99e5a59eb', 'job_description': 'Reactive composite hardware', 'start_date': datetime.datetime(2017, 10, 15, 9, 34, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 23, 0, 0, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 11, 11, 3, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2ab1b357-5b2e-491b-a0e6-41a911197502', 'end_date': datetime.datetime(2014, 2, 13, 11, 37, 12), 'start_time': datetime.datetime(2011, 2, 22, 11, 35, 45), 'rate': 2, 'updated_at': datetime.datetime(2012, 10, 8, 8, 12, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aeed36b3-6497-46a7-af93-684be8266ee3', 'job_description': 'Optional empowering support', 'start_date': datetime.datetime(2019, 8, 22, 8, 10, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 20, 19, 45, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 2, 11, 58, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '646223d2-a8fc-43af-b658-8c309800c392', 'end_date': datetime.datetime(2015, 10, 5, 13, 14, 23), 'start_time': datetime.datetime(2010, 10, 26, 15, 35, 24), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 1, 15, 14, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c52c2c9c-3155-4fe8-a86c-1c4c8e318e4f', 'job_description': 'Front-line methodical conglomeration', 'start_date': datetime.datetime(2012, 7, 6, 22, 29, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 3, 9, 15, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 3, 13, 18, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5a74561d-6040-4b10-b392-a8dfe00162e8', 'end_date': datetime.datetime(2013, 9, 18, 23, 4, 48), 'start_time': datetime.datetime(2016, 9, 21, 19, 6, 17), 'rate': 2, 'updated_at': datetime.datetime(2018, 1, 16, 21, 27, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bc99bcce-ea9b-4fef-943b-7ad49edfe01a', 'job_description': 'Synergized optimizing encryption', 'start_date': datetime.datetime(2019, 2, 12, 4, 42, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 14, 11, 22, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 21, 18, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2fc93930-92db-4b8e-b9d4-d3312cf3feb3', 'end_date': datetime.datetime(2010, 7, 29, 2, 3, 50), 'start_time': datetime.datetime(2017, 7, 12, 20, 38, 58), 'rate': 5, 'updated_at': datetime.datetime(2019, 7, 1, 15, 33, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '66b1c6c7-2838-469d-9e92-800c802cfa1a', 'job_description': 'Extended maximized focus group', 'start_date': datetime.datetime(2019, 10, 8, 1, 30, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 7, 16, 55, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 5, 6, 17, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ac8fbc60-384c-448f-aebe-e56066b6d922', 'end_date': datetime.datetime(2016, 9, 29, 3, 33, 55), 'start_time': datetime.datetime(2011, 7, 3, 3, 44, 35), 'rate': 2, 'updated_at': datetime.datetime(2010, 7, 16, 7, 45, 37), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9c049f02-e8e0-4549-86eb-0b9eea408476', 'job_description': 'Synergized local local area network', 'start_date': datetime.datetime(2017, 9, 4, 3, 1, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 25, 16, 5, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 14, 18, 42, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd0b326ce-eaf1-45b1-8752-8e5bdc5a5b9f', 'end_date': datetime.datetime(2014, 10, 1, 14, 9, 48), 'start_time': datetime.datetime(2018, 7, 7, 3, 24, 17), 'rate': 2, 'updated_at': datetime.datetime(2015, 11, 5, 16, 41, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '171a9466-8cf8-4338-a643-12e40bc7cdbb', 'job_description': 'Function-based needs-based capacity', 'start_date': datetime.datetime(2016, 11, 7, 19, 40, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 19, 16, 16, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 27, 5, 29, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2fe83940-4450-4424-a1e7-5cef17e9390c', 'end_date': datetime.datetime(2017, 7, 7, 4, 35, 42), 'start_time': datetime.datetime(2017, 10, 16, 17, 17, 9), 'rate': 3, 'updated_at': datetime.datetime(2015, 5, 30, 17, 43, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '48512f74-7952-42fe-882b-8a6813e3cd7f', 'job_description': 'Fully-configurable background concept', 'start_date': datetime.datetime(2017, 10, 4, 14, 29, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 30, 11, 11, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 5, 2, 31, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '606b6371-61ac-44e7-b59c-61e5e2a34092', 'end_date': datetime.datetime(2012, 5, 25, 1, 33, 46), 'start_time': datetime.datetime(2017, 5, 10, 5, 17, 9), 'rate': 5, 'updated_at': datetime.datetime(2012, 3, 26, 15, 52, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8c88ace4-d56a-4198-a981-16e3c4146df4', 'job_description': 'Configurable solution-oriented moratorium', 'start_date': datetime.datetime(2016, 12, 24, 22, 49, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 24, 22, 42, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 13, 3, 34, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '40916615-b7e2-4fcb-9f92-c3a17e61217e', 'end_date': datetime.datetime(2014, 3, 7, 2, 23, 2), 'start_time': datetime.datetime(2012, 10, 8, 11, 40, 42), 'rate': 4, 'updated_at': datetime.datetime(2015, 4, 5, 10, 45, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '183886f1-5445-4906-b2ac-38e0e8745c80', 'job_description': 'Managed 24/7 intranet', 'start_date': datetime.datetime(2011, 9, 30, 15, 30, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 15, 15, 22, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 31, 1, 12, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '956829f3-75f6-4b5d-ad5f-9718255cd44e', 'end_date': datetime.datetime(2010, 11, 13, 20, 17, 44), 'start_time': datetime.datetime(2017, 9, 9, 12, 35, 51), 'rate': 4, 'updated_at': datetime.datetime(2019, 5, 10, 16, 20, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a680aa07-4527-44f5-8429-7f761f886601', 'job_description': 'Realigned intangible hierarchy', 'start_date': datetime.datetime(2012, 10, 6, 0, 4, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 13, 19, 10, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 23, 4, 36, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c7c71a1-2035-4e8b-888a-24d535d0e075', 'end_date': datetime.datetime(2014, 8, 8, 4, 9, 26), 'start_time': datetime.datetime(2019, 4, 11, 19, 28, 1), 'rate': 5, 'updated_at': datetime.datetime(2010, 1, 30, 15, 56, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f045bfb2-e473-4a2c-a5f0-89383ea29bc5', 'job_description': 'Business-focused actuating local area network', 'start_date': datetime.datetime(2017, 4, 8, 17, 19, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 1, 22, 7, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 22, 9, 41, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f238a865-9618-41f7-9ec3-3d72e119c632', 'end_date': datetime.datetime(2012, 4, 9, 5, 58, 32), 'start_time': datetime.datetime(2013, 9, 16, 18, 5, 14), 'rate': 4, 'updated_at': datetime.datetime(2010, 8, 10, 13, 34, 11), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '15692066-24af-4112-a99a-70ec2d610548', 'job_description': 'Business-focused methodical hierarchy', 'start_date': datetime.datetime(2017, 8, 25, 16, 19, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 16, 12, 31, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 6, 11, 40, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ccd43c8a-1257-4a4f-8a07-c56e4aa3e2b7', 'end_date': datetime.datetime(2018, 9, 2, 5, 8, 29), 'start_time': datetime.datetime(2016, 3, 14, 4, 56, 51), 'rate': 2, 'updated_at': datetime.datetime(2019, 2, 13, 2, 53, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd9385e45-0847-43b2-a8fc-232499a05baa', 'job_description': 'Up-sized solution-oriented methodology', 'start_date': datetime.datetime(2015, 9, 12, 6, 14, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 25, 9, 49, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 14, 9, 37, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '403937d0-c8fb-4282-ab6c-7bf9567aae8d', 'end_date': datetime.datetime(2019, 11, 26, 4, 51, 41), 'start_time': datetime.datetime(2014, 8, 25, 2, 39, 13), 'rate': 3, 'updated_at': datetime.datetime(2010, 4, 29, 12, 31, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '51e5d25e-66d0-41a8-8aa8-e566906ed565', 'job_description': 'Cloned methodical intranet', 'start_date': datetime.datetime(2018, 2, 19, 11, 14, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 26, 1, 24, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 31, 22, 22, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0e82f472-c08b-4487-9212-31117092c9d7', 'end_date': datetime.datetime(2014, 8, 9, 14, 4, 5), 'start_time': datetime.datetime(2018, 4, 28, 5, 43, 25), 'rate': 1, 'updated_at': datetime.datetime(2010, 4, 27, 0, 44, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '76639cf2-d5dd-421e-bdb6-cf17757ffd80', 'job_description': 'Progressive didactic knowledge user', 'start_date': datetime.datetime(2014, 8, 28, 15, 23, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 2, 5, 56, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 12, 17, 9, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a6c2b17c-fb92-47a0-ab4d-d8b37b0951fe', 'end_date': datetime.datetime(2017, 9, 12, 4, 57, 5), 'start_time': datetime.datetime(2013, 12, 5, 15, 0, 30), 'rate': 2, 'updated_at': datetime.datetime(2017, 4, 27, 6, 3, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ffaeb7d9-d132-4826-86e0-20655bb8ab28', 'job_description': 'Stand-alone intangible infrastructure', 'start_date': datetime.datetime(2017, 10, 17, 11, 31, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 14, 7, 56, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 16, 7, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '931c95c1-02ae-4acd-8dd9-c989213fdd88', 'end_date': datetime.datetime(2019, 11, 29, 14, 2, 14), 'start_time': datetime.datetime(2017, 12, 5, 10, 23, 16), 'rate': 5, 'updated_at': datetime.datetime(2017, 10, 11, 21, 38, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '55f3c50c-6b1b-4504-a88a-ad0073c2d675', 'job_description': 'Extended holistic website', 'start_date': datetime.datetime(2011, 5, 7, 0, 2, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 11, 5, 0, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 16, 2, 20, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6fa133f6-e4c8-482b-bf28-32baddfa9887', 'end_date': datetime.datetime(2018, 8, 21, 4, 48, 27), 'start_time': datetime.datetime(2011, 9, 15, 6, 20, 32), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 22, 3, 36, 16), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1e479bc0-0f30-4721-9865-bfb6630bb0c6', 'job_description': 'Object-based upward-trending policy', 'start_date': datetime.datetime(2012, 11, 24, 10, 31, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 29, 8, 32, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 25, 17, 37, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '15700b9a-bcb3-45e9-834f-73e8887851a9', 'end_date': datetime.datetime(2015, 9, 5, 20, 4, 34), 'start_time': datetime.datetime(2010, 2, 28, 7, 40, 18), 'rate': 2, 'updated_at': datetime.datetime(2014, 11, 2, 3, 22, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Nauru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '449d78f3-7f82-4e45-917f-5b11413d893a', 'job_description': 'Versatile executive middleware', 'start_date': datetime.datetime(2011, 12, 15, 23, 55, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 14, 15, 38, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 14, 17, 7, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '43b906b1-2948-4392-b8e1-275e304225e7', 'end_date': datetime.datetime(2017, 4, 14, 21, 38, 28), 'start_time': datetime.datetime(2012, 11, 18, 17, 48, 14), 'rate': 3, 'updated_at': datetime.datetime(2017, 5, 4, 18, 44, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3510a53b-6b42-401e-a300-4fcec6f8dfc1', 'job_description': 'Innovative value-added matrix', 'start_date': datetime.datetime(2019, 5, 25, 11, 22, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 12, 19, 26, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 3, 20, 5, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fdb297dc-35cb-4e4a-9df6-ea32601bd9e0', 'end_date': datetime.datetime(2011, 11, 4, 10, 13, 46), 'start_time': datetime.datetime(2018, 1, 13, 14, 36, 46), 'rate': 5, 'updated_at': datetime.datetime(2017, 4, 28, 15, 14, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '40655d86-fd0a-4c2e-8c73-687094c487a4', 'job_description': 'Down-sized dedicated standardization', 'start_date': datetime.datetime(2014, 5, 29, 14, 3, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 9, 13, 50, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 12, 13, 48, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d786c23-c9db-4b12-bec0-45cf15908473', 'end_date': datetime.datetime(2016, 7, 23, 15, 2, 34), 'start_time': datetime.datetime(2017, 5, 31, 18, 10, 31), 'rate': 1, 'updated_at': datetime.datetime(2016, 12, 4, 20, 21, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7cf2e382-e851-4c04-ad56-4a50c1693ce5', 'job_description': 'Self-enabling national software', 'start_date': datetime.datetime(2016, 4, 21, 19, 20, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 6, 4, 24, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 26, 19, 26, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '103beaf7-d069-4592-b28b-c183140f0bc1', 'end_date': datetime.datetime(2011, 11, 12, 9, 43, 18), 'start_time': datetime.datetime(2017, 1, 16, 2, 11, 45), 'rate': 2, 'updated_at': datetime.datetime(2018, 10, 26, 21, 44, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a2c1005a-8533-4363-9a28-840ec3cdf42b', 'job_description': 'Customer-focused mobile projection', 'start_date': datetime.datetime(2016, 9, 7, 7, 56, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 10, 10, 32, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 16, 23, 27, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '48e351b1-e095-4f9d-8e0b-aeda482c9553', 'end_date': datetime.datetime(2013, 4, 6, 1, 43, 8), 'start_time': datetime.datetime(2019, 4, 19, 22, 36, 29), 'rate': 5, 'updated_at': datetime.datetime(2011, 9, 1, 14, 43, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Oman', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7391dcbb-1e50-491a-80bd-e49277a69f27', 'job_description': 'Enterprise-wide client-server collaboration', 'start_date': datetime.datetime(2016, 4, 2, 13, 14, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 21, 20, 31, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 29, 12, 17, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '480701bb-b652-4bdc-b666-ef12ca11cf46', 'end_date': datetime.datetime(2019, 9, 8, 8, 48, 57), 'start_time': datetime.datetime(2013, 3, 20, 13, 15, 7), 'rate': 3, 'updated_at': datetime.datetime(2012, 7, 19, 15, 27, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f62ea108-e699-496e-9d03-b1c9e4ddf047', 'job_description': 'Inverse foreground adapter', 'start_date': datetime.datetime(2018, 9, 1, 15, 27, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 13, 15, 52, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 7, 12, 17, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc64e77c-fde4-4205-97e2-6129ba40ef36', 'end_date': datetime.datetime(2017, 11, 22, 14, 43, 32), 'start_time': datetime.datetime(2015, 5, 10, 13, 39, 41), 'rate': 2, 'updated_at': datetime.datetime(2019, 1, 3, 20, 59, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c748601f-9dff-43fb-bb4e-01da54d7dee1', 'job_description': 'Synchronised eco-centric approach', 'start_date': datetime.datetime(2015, 10, 17, 21, 13, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 5, 14, 11, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 29, 10, 50, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '54780994-2b85-45b6-8fa6-c2201013a2c3', 'end_date': datetime.datetime(2014, 5, 27, 17, 39, 45), 'start_time': datetime.datetime(2013, 6, 27, 9, 56, 7), 'rate': 2, 'updated_at': datetime.datetime(2014, 1, 8, 3, 1, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '41df70c3-28ee-438c-bb68-baa22c464ade', 'job_description': 'Function-based grid-enabled toolset', 'start_date': datetime.datetime(2013, 7, 11, 19, 35, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 14, 15, 23, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 17, 8, 10, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e1ac5cab-80ba-4c6f-992f-1c7bb3f855c8', 'end_date': datetime.datetime(2018, 9, 8, 11, 26, 17), 'start_time': datetime.datetime(2010, 2, 15, 4, 44, 13), 'rate': 2, 'updated_at': datetime.datetime(2014, 6, 30, 16, 10, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Angola', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e84310ea-03e8-48fe-af93-191e7e28d6bd', 'job_description': 'Total global customer loyalty', 'start_date': datetime.datetime(2015, 5, 13, 16, 32, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 16, 15, 36, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 24, 16, 6, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f58fe028-ba88-4947-a031-2bb53f78e9f3', 'end_date': datetime.datetime(2013, 9, 26, 22, 35, 16), 'start_time': datetime.datetime(2010, 11, 26, 8, 43, 8), 'rate': 3, 'updated_at': datetime.datetime(2012, 3, 13, 11, 20, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'da0485ca-923c-4c8d-9429-1ebc7a0e3d6c', 'job_description': 'Phased foreground framework', 'start_date': datetime.datetime(2013, 4, 17, 14, 32, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 29, 10, 43, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 11, 22, 37, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6674f58c-9cb6-4928-bc5c-d3eccf5cfce9', 'end_date': datetime.datetime(2016, 9, 17, 11, 54, 54), 'start_time': datetime.datetime(2013, 12, 26, 21, 56), 'rate': 2, 'updated_at': datetime.datetime(2011, 12, 31, 9, 4, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd79fc2b0-5d3f-4bd8-8b15-08a78f4f05e4', 'job_description': 'Robust transitional adapter', 'start_date': datetime.datetime(2013, 8, 20, 11, 56, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 15, 1, 3, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 15, 16, 9, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd7cf4092-21af-40ce-8e4d-2e9a897d7ed5', 'end_date': datetime.datetime(2019, 5, 12, 10, 8, 6), 'start_time': datetime.datetime(2014, 7, 2, 3, 37, 50), 'rate': 4, 'updated_at': datetime.datetime(2018, 3, 11, 22, 16, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Russian Federation', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '272c8498-f05c-4796-8bce-af9e914de516', 'job_description': 'Progressive content-based capability', 'start_date': datetime.datetime(2018, 6, 27, 1, 7, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 29, 20, 6, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 2, 23, 57, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '371ac191-67f6-469e-9164-d7232472c140', 'end_date': datetime.datetime(2012, 2, 17, 11, 23, 8), 'start_time': datetime.datetime(2015, 2, 5, 18, 43, 17), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 30, 22, 44, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6f142aa8-4e04-4c20-bfb9-f32237bfe260', 'job_description': 'Cloned local initiative', 'start_date': datetime.datetime(2019, 8, 28, 12, 33, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 26, 13, 34, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 29, 5, 14, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af6dd210-9862-467f-bc8f-cad1a61e80a2', 'end_date': datetime.datetime(2010, 6, 10, 20, 16, 28), 'start_time': datetime.datetime(2019, 7, 18, 14, 22, 12), 'rate': 2, 'updated_at': datetime.datetime(2018, 12, 10, 19, 30, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3ba13be1-6aa9-457e-b385-151e4fa95f9d', 'job_description': 'Public-key regional alliance', 'start_date': datetime.datetime(2014, 2, 2, 10, 5, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 8, 1, 11, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 10, 2, 12, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f8e73cdb-d887-40a7-9748-25a23bd51683', 'end_date': datetime.datetime(2015, 3, 22, 18, 49, 3), 'start_time': datetime.datetime(2019, 10, 3, 15, 56, 10), 'rate': 3, 'updated_at': datetime.datetime(2014, 10, 31, 18, 20, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a4a845e3-5a24-4400-bb14-304cb951d9f3', 'job_description': 'Assimilated assymetric Graphical User Interface', 'start_date': datetime.datetime(2016, 3, 1, 23, 43, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 1, 9, 15, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 10, 12, 25, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e7b15205-3607-470f-b3aa-15300e464a7e', 'end_date': datetime.datetime(2017, 10, 11, 13, 57, 17), 'start_time': datetime.datetime(2011, 3, 3, 0, 19, 26), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 26, 18, 17, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '60bd6a39-4dd3-4e34-b6c7-6cc7678e8fc8', 'job_description': 'Fundamental mission-critical capacity', 'start_date': datetime.datetime(2011, 6, 26, 13, 5, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 26, 22, 30, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 26, 21, 43, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1a38af20-d674-4e43-8c0e-116bf451ca98', 'end_date': datetime.datetime(2011, 11, 10, 8, 18, 40), 'start_time': datetime.datetime(2015, 12, 27, 2, 6, 31), 'rate': 2, 'updated_at': datetime.datetime(2011, 3, 20, 4, 23, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3d315d8b-a836-4e52-b942-7a2d5b92441f', 'job_description': 'Digitized clear-thinking array', 'start_date': datetime.datetime(2015, 12, 5, 9, 25, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 19, 5, 58, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 28, 3, 38, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '81282ed9-8cca-43d1-9b97-e479cfea75d5', 'end_date': datetime.datetime(2014, 4, 11, 15, 11, 22), 'start_time': datetime.datetime(2010, 6, 27, 15, 49, 44), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 27, 9, 27, 28), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '97cf6f95-d766-41ca-b996-cb1e382bac4b', 'job_description': 'Cloned coherent moderator', 'start_date': datetime.datetime(2016, 2, 15, 11, 27, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 20, 13, 9, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 3, 2, 1, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bf9f2a9e-10d7-4a12-ab1d-70c70f3f1f31', 'end_date': datetime.datetime(2013, 9, 18, 18, 49, 29), 'start_time': datetime.datetime(2014, 10, 6, 13, 45, 38), 'rate': 3, 'updated_at': datetime.datetime(2016, 1, 10, 9, 47, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd4d6dd91-45c9-42bb-94ef-87cefe538404', 'job_description': 'Ergonomic object-oriented productivity', 'start_date': datetime.datetime(2016, 1, 13, 7, 25, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 8, 21, 47, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 28, 5, 22, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3bf4d750-e92b-4d42-8d82-33a80b6fc692', 'end_date': datetime.datetime(2013, 7, 20, 12, 27, 7), 'start_time': datetime.datetime(2016, 5, 28, 16, 19, 55), 'rate': 2, 'updated_at': datetime.datetime(2012, 12, 29, 7, 37, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '34d134dc-99de-41a1-8dca-bde1de3382d5', 'job_description': 'Fundamental bifurcated orchestration', 'start_date': datetime.datetime(2010, 3, 17, 23, 4, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 7, 14, 31, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 25, 19, 25, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1c057660-85e4-430c-a673-887b3a55ad45', 'end_date': datetime.datetime(2012, 6, 10, 18, 37, 19), 'start_time': datetime.datetime(2014, 6, 15, 7, 23, 15), 'rate': 2, 'updated_at': datetime.datetime(2015, 1, 4, 5, 59, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd1c85d24-aab1-4137-bb22-4e94872a60b2', 'job_description': 'Grass-roots intangible concept', 'start_date': datetime.datetime(2018, 1, 22, 15, 48, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 26, 21, 52, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 16, 20, 29, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8ccfab52-29c6-46e5-8344-34e9a1c3c435', 'end_date': datetime.datetime(2018, 11, 11, 2, 59, 34), 'start_time': datetime.datetime(2019, 5, 22, 22, 27, 34), 'rate': 2, 'updated_at': datetime.datetime(2012, 11, 18, 4, 58, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1c330956-a134-4fb0-8fbc-f5a520c0fe4c', 'job_description': 'Devolved executive process improvement', 'start_date': datetime.datetime(2011, 3, 30, 3, 54, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 5, 7, 59, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 30, 5, 24, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8f3e261a-e48d-4ceb-ad89-2ca9d56dd6f9', 'end_date': datetime.datetime(2010, 4, 24, 16, 48), 'start_time': datetime.datetime(2019, 10, 25, 8, 27, 50), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 12, 21, 28, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '995b1ffc-cc31-419d-86c3-eef54e7e32f1', 'job_description': 'Proactive bifurcated open architecture', 'start_date': datetime.datetime(2011, 10, 27, 18, 51, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 23, 14, 23, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 29, 18, 38, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5bacea33-d72e-4fa3-8de3-4a2e56117b35', 'end_date': datetime.datetime(2017, 2, 8, 8, 11, 33), 'start_time': datetime.datetime(2013, 7, 5, 5, 15, 1), 'rate': 5, 'updated_at': datetime.datetime(2014, 11, 13, 16, 29, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '72d41b50-acc9-4f66-9d1b-5eb7a9e8449a', 'job_description': 'Digitized exuding budgetary management', 'start_date': datetime.datetime(2018, 8, 4, 9, 51, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 10, 6, 26, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 22, 2, 11, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '196896cd-0889-45e8-8db5-b3fc0e4e6e7c', 'end_date': datetime.datetime(2019, 10, 17, 2, 34, 15), 'start_time': datetime.datetime(2017, 2, 23, 22, 35, 20), 'rate': 3, 'updated_at': datetime.datetime(2018, 12, 19, 17, 46, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8e0d73f1-12c0-450f-9e01-32a99bf2aacb', 'job_description': 'Mandatory holistic structure', 'start_date': datetime.datetime(2010, 2, 27, 16, 15, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 8, 0, 18, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 18, 7, 29, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd12d4191-37be-42cb-9261-6f99c84ee5e1', 'end_date': datetime.datetime(2017, 9, 20, 7, 41, 31), 'start_time': datetime.datetime(2018, 9, 19, 11, 50, 59), 'rate': 2, 'updated_at': datetime.datetime(2015, 10, 20, 22, 59, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd0c1d85b-65b8-4f01-880d-358b8ac37170', 'job_description': 'Phased reciprocal synergy', 'start_date': datetime.datetime(2018, 9, 24, 3, 45, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 7, 15, 39, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 16, 18, 0, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b6aab762-14c0-4833-a133-4c57ba5c4058', 'end_date': datetime.datetime(2016, 11, 16, 17, 41, 37), 'start_time': datetime.datetime(2019, 8, 22, 1, 59, 57), 'rate': 4, 'updated_at': datetime.datetime(2011, 12, 12, 19, 3, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3cf72d81-e920-4323-a4be-14839d202355', 'job_description': 'Cloned optimizing moderator', 'start_date': datetime.datetime(2013, 8, 1, 11, 38, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 28, 19, 42, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 24, 14, 51, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e7a6c37e-c8ca-4bc5-b2ac-7191dcfcb9e1', 'end_date': datetime.datetime(2015, 10, 21, 16, 47, 48), 'start_time': datetime.datetime(2015, 3, 19, 2, 47, 7), 'rate': 1, 'updated_at': datetime.datetime(2019, 6, 17, 12, 7, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dc80e17f-5da8-45ec-8eac-c191b7b6b1e2', 'job_description': 'Streamlined content-based hierarchy', 'start_date': datetime.datetime(2015, 10, 28, 2, 51, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 17, 15, 51, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 15, 11, 28, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7e9b1f5e-65b3-4f28-a066-19f25f50543b', 'end_date': datetime.datetime(2010, 10, 14, 21, 25, 59), 'start_time': datetime.datetime(2013, 12, 4, 2, 25, 17), 'rate': 4, 'updated_at': datetime.datetime(2018, 2, 23, 9, 0, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c528b463-6d6e-4922-a7b0-8bc9e4fa4380', 'job_description': 'Realigned zero administration Graphic Interface', 'start_date': datetime.datetime(2013, 7, 26, 13, 58, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 9, 11, 4, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 21, 10, 15, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4f2c803a-776d-486a-aeb5-3b3551bead14', 'end_date': datetime.datetime(2016, 9, 1, 11, 37, 31), 'start_time': datetime.datetime(2017, 8, 14, 1, 43, 42), 'rate': 4, 'updated_at': datetime.datetime(2013, 5, 27, 3, 31, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fce0a377-6779-4168-a8ba-ec7f44fb992f', 'job_description': 'Reverse-engineered real-time workforce', 'start_date': datetime.datetime(2010, 9, 24, 10, 30, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 17, 16, 23, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 15, 14, 19, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e687bfd7-2cb8-4cf9-b29f-87c56f843aac', 'end_date': datetime.datetime(2013, 7, 8, 5, 0, 32), 'start_time': datetime.datetime(2014, 8, 13, 1, 11, 10), 'rate': 5, 'updated_at': datetime.datetime(2010, 1, 14, 15, 33, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Holy See (Vatican City State)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '25222a28-a030-414f-99d1-39542cf68ed7', 'job_description': 'Networked dedicated focus group', 'start_date': datetime.datetime(2011, 1, 3, 4, 25, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 22, 18, 47, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 13, 22, 48, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'debf4a57-6217-479b-9d1a-4f93857a6595', 'end_date': datetime.datetime(2018, 3, 1, 15, 3), 'start_time': datetime.datetime(2010, 6, 11, 21, 45, 7), 'rate': 4, 'updated_at': datetime.datetime(2014, 1, 12, 1, 19, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Germany', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3d8dd1b5-f826-4f36-8af9-1074cc753b4c', 'job_description': 'Customer-focused client-server conglomeration', 'start_date': datetime.datetime(2018, 1, 16, 22, 35, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 19, 0, 23, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 3, 10, 42, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e8cf51b6-78a1-473e-bdaa-1e632d9506c6', 'end_date': datetime.datetime(2011, 7, 21, 9, 3, 34), 'start_time': datetime.datetime(2016, 8, 18, 16, 17, 19), 'rate': 2, 'updated_at': datetime.datetime(2017, 7, 21, 22, 54, 54), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6f7c1f07-1cb2-42f8-9fec-43f490e31ab9', 'job_description': 'Seamless uniform definition', 'start_date': datetime.datetime(2011, 5, 25, 19, 26, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 2, 2, 18, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 25, 3, 10, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'de47e800-ea3e-4f96-85b2-b0edd9d66940', 'end_date': datetime.datetime(2012, 9, 9, 17, 19, 11), 'start_time': datetime.datetime(2013, 6, 16, 3, 33, 59), 'rate': 1, 'updated_at': datetime.datetime(2013, 10, 12, 7, 53, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '712e9a0f-1649-4819-a328-c2c7375f8920', 'job_description': 'Exclusive global architecture', 'start_date': datetime.datetime(2011, 12, 23, 22, 21, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 26, 9, 24, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 1, 11, 52, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7af96847-1662-462d-bc17-be8c160469bf', 'end_date': datetime.datetime(2012, 4, 16, 0, 54, 49), 'start_time': datetime.datetime(2017, 6, 15, 20, 29, 1), 'rate': 2, 'updated_at': datetime.datetime(2018, 1, 30, 20, 35, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9fce69bc-569b-402d-a632-9345c86015c5', 'job_description': 'Multi-channelled 3rd generation architecture', 'start_date': datetime.datetime(2019, 7, 24, 19, 39, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 1, 14, 24, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 10, 0, 3, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '01851dce-8cb9-456d-8347-2b9820e0829c', 'end_date': datetime.datetime(2013, 6, 19, 17, 44, 43), 'start_time': datetime.datetime(2016, 12, 15, 9, 10, 46), 'rate': 3, 'updated_at': datetime.datetime(2016, 5, 29, 4, 55, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '52a782c6-2db2-41aa-a1c5-0d658ef3fbf7', 'job_description': 'Polarised static task-force', 'start_date': datetime.datetime(2010, 11, 7, 20, 12, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 30, 6, 26, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 27, 10, 0, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7c138d87-988e-4b48-af35-6d441ad1ec6a', 'end_date': datetime.datetime(2018, 3, 8, 7, 41, 21), 'start_time': datetime.datetime(2012, 4, 7, 10, 53, 58), 'rate': 2, 'updated_at': datetime.datetime(2012, 4, 21, 10, 42, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Serbia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '196b882c-f4de-4290-b48f-c7376991b13d', 'job_description': 'Public-key leading edge hub', 'start_date': datetime.datetime(2012, 8, 15, 2, 58, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 15, 4, 16, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 5, 20, 0, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '27374643-4f2d-4300-9ec6-36b0a64e1a77', 'end_date': datetime.datetime(2016, 9, 16, 15, 14, 20), 'start_time': datetime.datetime(2010, 4, 21, 18, 25, 18), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 10, 3, 44, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd80c0620-faa4-47e0-85d2-8fa474f81ea2', 'job_description': 'Versatile coherent toolset', 'start_date': datetime.datetime(2018, 5, 4, 6, 28, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 28, 6, 24, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 22, 15, 15, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ffffcfee-8255-405a-872e-a605d983fa2f', 'end_date': datetime.datetime(2013, 8, 20, 14, 8), 'start_time': datetime.datetime(2017, 6, 14, 14, 46, 57), 'rate': 1, 'updated_at': datetime.datetime(2014, 8, 24, 1, 28, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Czech Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bad82c8d-4c8a-4edf-80ce-fbfc5baab80e', 'job_description': 'Multi-channelled client-server projection', 'start_date': datetime.datetime(2017, 12, 8, 19, 34, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 17, 8, 51, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 15, 12, 7, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '808e02f3-0247-4928-b4ec-71c682c122de', 'end_date': datetime.datetime(2013, 10, 28, 17, 16, 26), 'start_time': datetime.datetime(2010, 8, 30, 16, 51, 21), 'rate': 1, 'updated_at': datetime.datetime(2014, 1, 12, 3, 45, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fb96d0ce-bc42-4604-9665-b7e65f12ea91', 'job_description': 'Open-source radical service-desk', 'start_date': datetime.datetime(2013, 1, 7, 9, 1, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 17, 23, 59, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 4, 21, 51, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '677b6801-901a-4b39-93c9-20da5d78898f', 'end_date': datetime.datetime(2018, 4, 12, 8, 37, 53), 'start_time': datetime.datetime(2011, 3, 29, 4, 43, 5), 'rate': 3, 'updated_at': datetime.datetime(2011, 10, 21, 5, 49, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '83ea9cfa-7301-4ada-9b95-d585a0d353c0', 'job_description': 'Adaptive well-modulated data-warehouse', 'start_date': datetime.datetime(2015, 4, 8, 6, 45, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 17, 16, 7, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 1, 23, 42, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e499a3a-6bbb-4c21-91fc-1c5f2b796a7a', 'end_date': datetime.datetime(2018, 8, 14, 4, 57, 33), 'start_time': datetime.datetime(2019, 10, 9, 0, 42, 29), 'rate': 3, 'updated_at': datetime.datetime(2017, 7, 2, 5, 22, 48), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0e6636b7-5ca4-458d-b1db-026553282b8f', 'job_description': 'Reactive uniform website', 'start_date': datetime.datetime(2012, 11, 24, 22, 43, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 29, 15, 10, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 30, 23, 6, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'df26caa7-f5a0-4347-bbcc-8a9c3eaa7c24', 'end_date': datetime.datetime(2016, 3, 22, 18, 14, 27), 'start_time': datetime.datetime(2016, 8, 26, 4, 16, 18), 'rate': 1, 'updated_at': datetime.datetime(2016, 1, 8, 7, 57, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Botswana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '09486b1f-9174-4998-ae52-b068ffe858ea', 'job_description': 'Centralized upward-trending strategy', 'start_date': datetime.datetime(2019, 6, 5, 19, 17, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 7, 8, 48, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 24, 18, 6, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b525719d-c41d-495f-a1b7-52c69b1431cf', 'end_date': datetime.datetime(2015, 12, 3, 23, 13, 47), 'start_time': datetime.datetime(2013, 11, 8, 6, 40, 38), 'rate': 4, 'updated_at': datetime.datetime(2018, 2, 9, 8, 57, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1e7a1944-f1fb-4850-ad97-e5dc69145a4d', 'job_description': 'Sharable reciprocal support', 'start_date': datetime.datetime(2011, 5, 14, 15, 6, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 28, 4, 58, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 30, 9, 32, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '160bcf13-804f-4270-9c84-7c0e2dce2226', 'end_date': datetime.datetime(2012, 7, 1, 12, 24, 40), 'start_time': datetime.datetime(2013, 5, 21, 5, 37, 27), 'rate': 3, 'updated_at': datetime.datetime(2015, 6, 23, 0, 25, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '936126fe-f63f-4114-b5c4-12d3da20084d', 'job_description': 'Seamless fault-tolerant secured line', 'start_date': datetime.datetime(2018, 1, 1, 11, 20, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 23, 11, 10, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 12, 23, 16, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8282407c-c1a1-4440-82a2-79488ceb19af', 'end_date': datetime.datetime(2010, 9, 3, 2, 27, 16), 'start_time': datetime.datetime(2015, 12, 6, 0, 10, 24), 'rate': 1, 'updated_at': datetime.datetime(2019, 11, 5, 6, 22, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '29974357-9bf8-46c8-961a-56ef27b053b4', 'job_description': 'Focused high-level policy', 'start_date': datetime.datetime(2015, 11, 4, 23, 33, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 16, 19, 0, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 11, 1, 37, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c378b1b8-b9df-4002-8f55-f82f9d962a4e', 'end_date': datetime.datetime(2014, 6, 20, 18, 49, 31), 'start_time': datetime.datetime(2011, 11, 30, 11, 24, 14), 'rate': 1, 'updated_at': datetime.datetime(2016, 4, 30, 14, 51, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '67113809-5ace-4c74-9067-1db93167c352', 'job_description': 'Multi-layered asynchronous extranet', 'start_date': datetime.datetime(2012, 6, 23, 19, 40, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 7, 7, 59, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 16, 11, 28, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'acf3ef92-4e91-4282-939c-3d51fc118796', 'end_date': datetime.datetime(2014, 10, 29, 8, 52, 55), 'start_time': datetime.datetime(2015, 4, 8, 19, 24, 40), 'rate': 4, 'updated_at': datetime.datetime(2014, 5, 24, 1, 1, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0a094fb0-06f3-4e64-b2de-ac08e1136925', 'job_description': 'Stand-alone clear-thinking software', 'start_date': datetime.datetime(2010, 12, 29, 15, 48, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 26, 5, 5, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 30, 3, 16, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b3f42be4-41fa-4110-be0a-be278648e404', 'end_date': datetime.datetime(2011, 1, 19, 23, 27, 41), 'start_time': datetime.datetime(2010, 11, 11, 10, 17, 16), 'rate': 1, 'updated_at': datetime.datetime(2017, 1, 26, 5, 25, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '60846b43-2d2c-4c5f-9875-16c6ddbcd96d', 'job_description': 'Persevering scalable success', 'start_date': datetime.datetime(2015, 5, 16, 0, 32, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 17, 18, 26, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 9, 11, 40, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5b5aa4c4-8fa8-427a-911c-499a35c147a8', 'end_date': datetime.datetime(2012, 8, 18, 17, 32, 3), 'start_time': datetime.datetime(2014, 8, 29, 13, 0, 56), 'rate': 2, 'updated_at': datetime.datetime(2014, 2, 6, 18, 49, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '09981b22-737e-4a10-ad16-5fa2fce12f12', 'job_description': 'Focused multi-tasking time-frame', 'start_date': datetime.datetime(2014, 5, 10, 20, 54, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 18, 4, 8, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 11, 15, 24, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '995103ac-9e1e-49e0-a8d6-cf2465d966ae', 'end_date': datetime.datetime(2014, 10, 4, 7, 42, 44), 'start_time': datetime.datetime(2018, 8, 14, 4, 38, 15), 'rate': 2, 'updated_at': datetime.datetime(2010, 11, 18, 7, 39, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81c9fa03-0547-4c92-a9f6-c8a272222632', 'job_description': 'Stand-alone system-worthy paradigm', 'start_date': datetime.datetime(2019, 5, 24, 12, 19, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 1, 23, 1, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 10, 20, 5, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e3c989aa-f6a7-475a-9f56-17eebfcd290c', 'end_date': datetime.datetime(2012, 5, 13, 17, 33, 19), 'start_time': datetime.datetime(2017, 9, 25, 22, 13, 30), 'rate': 2, 'updated_at': datetime.datetime(2019, 5, 13, 11, 12, 4), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b518c556-51e1-4b69-a6a8-c98b3406dcf7', 'job_description': 'Fully-configurable secondary implementation', 'start_date': datetime.datetime(2015, 12, 2, 15, 14, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 8, 19, 55, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 17, 9, 8, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1b0cc305-3d5e-40c6-ab37-5759716f0978', 'end_date': datetime.datetime(2013, 10, 11, 5, 53, 54), 'start_time': datetime.datetime(2015, 7, 23, 20, 29, 35), 'rate': 5, 'updated_at': datetime.datetime(2010, 11, 23, 5, 59, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f8a0e10c-f099-49f5-bcd8-4e44d399901d', 'job_description': 'Open-architected bi-directional knowledge base', 'start_date': datetime.datetime(2019, 9, 9, 13, 28, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 27, 8, 10, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 16, 20, 44, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '33e11d61-10ac-4217-a4c5-76204e992d5a', 'end_date': datetime.datetime(2012, 8, 6, 19, 23, 27), 'start_time': datetime.datetime(2019, 2, 5, 19, 42, 51), 'rate': 3, 'updated_at': datetime.datetime(2014, 12, 26, 7, 25, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6381e958-4c39-4624-a380-2d03449610a9', 'job_description': 'Devolved multi-state functionalities', 'start_date': datetime.datetime(2018, 1, 9, 13, 4, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 10, 5, 52, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 27, 14, 46, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f8421ada-1cfd-4b55-8aef-dfb2a05d67cc', 'end_date': datetime.datetime(2015, 6, 28, 21, 54, 30), 'start_time': datetime.datetime(2010, 1, 14, 15, 14, 36), 'rate': 2, 'updated_at': datetime.datetime(2017, 2, 2, 6, 42, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '224b0dd6-a4d2-48b3-9f5d-7a1712e1d02e', 'job_description': 'Up-sized directional archive', 'start_date': datetime.datetime(2013, 8, 22, 7, 55, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 1, 1, 17, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 14, 0, 18, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '38ec211a-2110-4369-af9f-7a0643795902', 'end_date': datetime.datetime(2010, 12, 22, 17, 20, 58), 'start_time': datetime.datetime(2011, 6, 6, 9, 49, 44), 'rate': 1, 'updated_at': datetime.datetime(2018, 8, 4, 18, 44, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9058bda0-cb93-4654-b74d-3f1867b84642', 'job_description': 'Face to face bandwidth-monitored implementation', 'start_date': datetime.datetime(2010, 2, 25, 2, 32, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 22, 8, 33, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 15, 4, 13, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24527002-c395-4edb-b3d5-10ea6feaafd2', 'end_date': datetime.datetime(2011, 8, 8, 16, 6, 42), 'start_time': datetime.datetime(2011, 7, 26, 0, 51, 52), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 28, 12, 14, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '70d2abd2-ef56-45ec-abf3-9921f54a2b75', 'job_description': 'Right-sized asynchronous standardization', 'start_date': datetime.datetime(2017, 11, 24, 22, 12, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 8, 22, 49, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 11, 5, 44, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'afce29b6-ea23-473b-882c-e045d6c5468b', 'end_date': datetime.datetime(2019, 9, 19, 1, 50, 40), 'start_time': datetime.datetime(2014, 1, 18, 8, 46, 59), 'rate': 4, 'updated_at': datetime.datetime(2013, 7, 30, 4, 22, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '74f5ae7b-9706-4db2-89ce-bee3689b8fe8', 'job_description': 'Down-sized interactive firmware', 'start_date': datetime.datetime(2011, 10, 19, 9, 30, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 5, 4, 18, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 2, 17, 55, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '11231a90-a0d9-464d-8c89-5eb0e1bc7a1f', 'end_date': datetime.datetime(2018, 8, 3, 17, 10, 53), 'start_time': datetime.datetime(2010, 1, 15, 18, 27, 43), 'rate': 1, 'updated_at': datetime.datetime(2018, 4, 7, 13, 17, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '57b3a2c6-6aba-427d-82bd-a90f6280df75', 'job_description': 'Cloned needs-based utilisation', 'start_date': datetime.datetime(2010, 4, 22, 4, 27, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 3, 14, 9, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 11, 1, 57, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8eb841f5-0c63-46cf-8137-4f3431402d76', 'end_date': datetime.datetime(2019, 8, 6, 14, 14, 43), 'start_time': datetime.datetime(2013, 12, 30, 6, 0, 54), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 8, 14, 8, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e02f1567-a00f-42cc-9ee6-b80828db015c', 'job_description': 'Adaptive system-worthy system engine', 'start_date': datetime.datetime(2018, 4, 17, 8, 10, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 7, 17, 54, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 13, 18, 55, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bf208fb5-6fa3-4974-8dfb-00dada519b53', 'end_date': datetime.datetime(2012, 7, 29, 9, 32, 17), 'start_time': datetime.datetime(2013, 10, 7, 6, 3, 27), 'rate': 2, 'updated_at': datetime.datetime(2017, 5, 19, 0, 4, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Bermuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '01e8a5d7-225f-4c5a-8565-926bd51f97f8', 'job_description': 'Self-enabling motivating capacity', 'start_date': datetime.datetime(2011, 7, 9, 18, 33, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 3, 8, 14, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 10, 6, 55, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '38a39b6a-396d-4fe4-9610-0343dbf66d82', 'end_date': datetime.datetime(2012, 10, 28, 13, 45, 17), 'start_time': datetime.datetime(2018, 11, 12, 7, 2, 29), 'rate': 1, 'updated_at': datetime.datetime(2019, 9, 26, 6, 36, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Heard Island and McDonald Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7f90bea1-26df-45be-87e5-5a52702dcbd6', 'job_description': 'Proactive dynamic database', 'start_date': datetime.datetime(2010, 12, 30, 20, 53, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 20, 15, 34, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 11, 7, 14, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '20f1ef83-5338-41ce-b03e-acdb16e666d1', 'end_date': datetime.datetime(2013, 4, 8, 0, 9), 'start_time': datetime.datetime(2016, 12, 12, 16, 14, 31), 'rate': 4, 'updated_at': datetime.datetime(2015, 2, 21, 3, 55, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Martinique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7ff8e659-d16c-4d7e-b8f8-7927f074f5e8', 'job_description': 'Vision-oriented stable time-frame', 'start_date': datetime.datetime(2010, 1, 11, 14, 6, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 16, 11, 45, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 20, 19, 22, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '23f74b2e-de83-4239-bba8-2de270656c23', 'end_date': datetime.datetime(2010, 1, 27, 17, 50, 20), 'start_time': datetime.datetime(2012, 12, 23, 0, 3, 40), 'rate': 1, 'updated_at': datetime.datetime(2013, 5, 26, 5, 54, 12), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c5887b84-18a7-4bf2-83cc-78eb06c8758d', 'job_description': 'Profound zero defect portal', 'start_date': datetime.datetime(2019, 6, 6, 21, 15, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 12, 2, 49, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 6, 14, 24, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '02335208-9304-4de6-b8e8-6436c926149e', 'end_date': datetime.datetime(2013, 7, 5, 2, 3, 40), 'start_time': datetime.datetime(2010, 2, 9, 4, 24, 25), 'rate': 4, 'updated_at': datetime.datetime(2010, 10, 7, 1, 54, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2e4551f4-dadf-4f1a-aafb-35876a8e4e57', 'job_description': 'Robust radical strategy', 'start_date': datetime.datetime(2019, 6, 5, 21, 57, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 18, 13, 34, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 21, 21, 53, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5c949e86-edf9-43b4-be0e-e1bc0f441c74', 'end_date': datetime.datetime(2019, 7, 25, 22, 13, 32), 'start_time': datetime.datetime(2014, 7, 14, 14, 46, 50), 'rate': 4, 'updated_at': datetime.datetime(2016, 6, 28, 4, 30, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Belgium', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '484c4098-5487-4d6f-9b40-419ce6f76b20', 'job_description': 'Optimized heuristic service-desk', 'start_date': datetime.datetime(2011, 1, 24, 5, 4, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 2, 6, 9, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 17, 0, 55, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c7385024-99da-4c84-a163-866abb181352', 'end_date': datetime.datetime(2012, 1, 4, 11, 38, 23), 'start_time': datetime.datetime(2018, 7, 3, 0, 16, 30), 'rate': 2, 'updated_at': datetime.datetime(2012, 6, 16, 9, 10, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '70137534-28da-4265-b862-99b50b7b4330', 'job_description': 'Integrated bandwidth-monitored superstructure', 'start_date': datetime.datetime(2017, 2, 2, 20, 57, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 24, 8, 25, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 6, 8, 56, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '67a25797-2a2f-4b90-9087-f98c73967584', 'end_date': datetime.datetime(2010, 3, 5, 13, 20, 13), 'start_time': datetime.datetime(2010, 9, 19, 7, 22, 29), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 13, 3, 23, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fdeaf428-68f6-43cd-a211-bde0ba7b9b34', 'job_description': 'Synchronised well-modulated focus group', 'start_date': datetime.datetime(2016, 10, 28, 20, 27, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 30, 10, 55, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 10, 1, 1, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '587a1de3-fb1d-44b6-af8d-30ca73ac8a2f', 'end_date': datetime.datetime(2012, 3, 15, 8, 40, 11), 'start_time': datetime.datetime(2011, 8, 30, 17, 0, 58), 'rate': 5, 'updated_at': datetime.datetime(2015, 1, 12, 1, 29, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4f081e46-bc02-4fe0-8739-0a7a72e23442', 'job_description': 'Cloned foreground focus group', 'start_date': datetime.datetime(2019, 2, 13, 2, 40, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 10, 9, 27, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 9, 0, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3fbe5d1b-6cd8-4fca-9340-ee324ddaeadd', 'end_date': datetime.datetime(2013, 12, 31, 4, 33, 47), 'start_time': datetime.datetime(2019, 7, 26, 2, 33, 38), 'rate': 5, 'updated_at': datetime.datetime(2016, 2, 6, 5, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aebbd000-be14-491f-b7a8-423067f55902', 'job_description': 'Public-key user-facing architecture', 'start_date': datetime.datetime(2013, 9, 14, 9, 20, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 3, 2, 59, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 3, 5, 48, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b9e4f31-5867-4bde-ba1a-2f5167a960ec', 'end_date': datetime.datetime(2011, 1, 16, 11, 48, 10), 'start_time': datetime.datetime(2010, 5, 21, 1, 47, 33), 'rate': 4, 'updated_at': datetime.datetime(2013, 10, 29, 21, 3, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '77d1698a-6ff5-4f16-87b0-82a25b248393', 'job_description': 'Up-sized holistic task-force', 'start_date': datetime.datetime(2018, 7, 31, 5, 14, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 13, 10, 19, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 12, 13, 19, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '811b5b79-fefd-41c7-b896-b0a79f849857', 'end_date': datetime.datetime(2019, 1, 8, 16, 17, 16), 'start_time': datetime.datetime(2010, 2, 26, 8, 59, 27), 'rate': 1, 'updated_at': datetime.datetime(2014, 6, 13, 4, 28, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aad5e225-ddcf-42c7-851d-2b0bb389097a', 'job_description': 'Advanced value-added monitoring', 'start_date': datetime.datetime(2018, 9, 23, 15, 24, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 16, 18, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 30, 18, 58, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6dcd8578-420f-4b54-bd89-97cc6f8ed727', 'end_date': datetime.datetime(2010, 7, 16, 4, 22, 23), 'start_time': datetime.datetime(2015, 12, 16, 0, 35, 15), 'rate': 5, 'updated_at': datetime.datetime(2013, 10, 24, 14, 39, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '96c5eb24-9f7d-48b6-814d-b542b4a086ed', 'job_description': 'Extended human-resource benchmark', 'start_date': datetime.datetime(2017, 11, 21, 15, 24, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 17, 19, 29, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 20, 12, 28, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ade9397f-8c72-4f11-8ee7-924d3fcd0295', 'end_date': datetime.datetime(2016, 9, 24, 2, 27, 53), 'start_time': datetime.datetime(2017, 8, 12, 17, 37, 3), 'rate': 1, 'updated_at': datetime.datetime(2012, 8, 13, 23, 46, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Peru', 'special_note': 'thanks'}
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{'_id': '285eb45e-0ed3-4546-b0a9-04c5ea4b3887', 'job_description': 'Automated bi-directional methodology', 'start_date': datetime.datetime(2017, 10, 28, 2, 50, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 16, 18, 37, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 25, 11, 26, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '51c0d714-4927-4e30-a9ce-f02942a99ab3', 'end_date': datetime.datetime(2010, 5, 31, 15, 14, 47), 'start_time': datetime.datetime(2018, 2, 5, 0, 5, 54), 'rate': 3, 'updated_at': datetime.datetime(2014, 4, 8, 4, 1, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': 'be5a9b87-b900-4895-9234-77f8aa647bff', 'job_description': 'Ameliorated 3rd generation paradigm', 'start_date': datetime.datetime(2015, 8, 13, 15, 25, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 8, 19, 35, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 11, 0, 20, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aadd6414-b9fb-46c6-a0ce-fa6a41891ac5', 'end_date': datetime.datetime(2011, 3, 29, 0, 56, 2), 'start_time': datetime.datetime(2013, 10, 23, 3, 51, 24), 'rate': 2, 'updated_at': datetime.datetime(2019, 1, 19, 14, 38, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': '29eeb75e-d1d9-4392-99e0-bcf8c0ec7bd7', 'job_description': 'Operative motivating success', 'start_date': datetime.datetime(2019, 11, 7, 13, 50, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 13, 3, 28, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 3, 21, 0, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0e285930-cc8d-4977-a98c-01f18c2780be', 'end_date': datetime.datetime(2015, 8, 17, 0, 2, 33), 'start_time': datetime.datetime(2013, 8, 23, 3, 36, 42), 'rate': 2, 'updated_at': datetime.datetime(2019, 11, 8, 0, 12, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Isle of Man', 'special_note': 'thanks'}
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{'_id': 'e774ef72-4928-4560-bc53-04207998e2f5', 'job_description': 'Implemented optimizing contingency', 'start_date': datetime.datetime(2015, 7, 20, 12, 35, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 14, 15, 36, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 20, 2, 32, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3f7b0cb0-8485-42f5-9159-e7835c24b085', 'end_date': datetime.datetime(2018, 4, 21, 0, 18, 45), 'start_time': datetime.datetime(2014, 6, 22, 9, 16, 42), 'rate': 5, 'updated_at': datetime.datetime(2011, 4, 18, 20, 42, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Tuvalu', 'special_note': 'thanks'}
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{'_id': '0b54dafa-5417-45b5-b20a-0581fd8cc692', 'job_description': 'Public-key secondary knowledge user', 'start_date': datetime.datetime(2017, 8, 8, 13, 49, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 24, 16, 36, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 3, 18, 53, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5cbb66e7-52b6-4c9d-8816-db5d009de2ef', 'end_date': datetime.datetime(2013, 1, 26, 1, 14, 37), 'start_time': datetime.datetime(2016, 3, 8, 4, 27, 53), 'rate': 5, 'updated_at': datetime.datetime(2015, 4, 21, 22, 12, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '88d38fe9-907b-434d-8a96-56f0ec6a6fab', 'job_description': 'Mandatory local superstructure', 'start_date': datetime.datetime(2018, 11, 23, 1, 38, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 24, 12, 28, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 28, 22, 55, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dabaa7e7-a11a-40f2-bd62-eb13bdd42eb4', 'end_date': datetime.datetime(2014, 1, 24, 11, 0, 53), 'start_time': datetime.datetime(2012, 5, 9, 7, 27, 50), 'rate': 5, 'updated_at': datetime.datetime(2014, 11, 5, 16, 51, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': 'e6b051e9-f76b-42fc-9a46-7204907f45c8', 'job_description': 'Self-enabling bi-directional open system', 'start_date': datetime.datetime(2014, 7, 11, 18, 38, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 23, 15, 41, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 19, 10, 14, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1a444027-aaeb-4940-ada3-eddccd9e379d', 'end_date': datetime.datetime(2010, 9, 2, 9, 17, 33), 'start_time': datetime.datetime(2017, 10, 17, 19, 1, 41), 'rate': 1, 'updated_at': datetime.datetime(2019, 8, 17, 6, 0, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': '6b471d02-dbf0-40de-bc47-ee1de923f398', 'job_description': 'Reduced methodical conglomeration', 'start_date': datetime.datetime(2013, 1, 30, 23, 28, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 21, 1, 8, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 9, 4, 6, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0e4ad902-3700-4ed0-bc5d-03b77d95406e', 'end_date': datetime.datetime(2018, 1, 27, 19, 58, 12), 'start_time': datetime.datetime(2017, 2, 25, 14, 32, 47), 'rate': 2, 'updated_at': datetime.datetime(2014, 3, 9, 13, 23, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '66007a8e-9fb7-48d9-85f9-c633b7b9016e', 'job_description': 'Realigned exuding artificial intelligence', 'start_date': datetime.datetime(2019, 8, 13, 2, 1, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 23, 3, 59, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 25, 11, 44, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2cadc107-0abe-4856-9a9a-f2c2b849a7bf', 'end_date': datetime.datetime(2019, 2, 5, 0, 27, 40), 'start_time': datetime.datetime(2017, 1, 28, 14, 41, 32), 'rate': 5, 'updated_at': datetime.datetime(2013, 11, 7, 20, 17, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': 'fa12bd4f-f220-43f9-8381-d66a32648cd3', 'job_description': 'Robust non-volatile productivity', 'start_date': datetime.datetime(2013, 9, 19, 20, 17, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 26, 7, 8, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 7, 13, 57, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1c641598-312a-4d8b-931f-2666dfc47790', 'end_date': datetime.datetime(2012, 12, 8, 15, 31, 9), 'start_time': datetime.datetime(2016, 11, 5, 18, 8, 8), 'rate': 5, 'updated_at': datetime.datetime(2019, 11, 7, 14, 16, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '592a218b-5d11-4fa2-a47a-58214e14d549', 'job_description': 'Re-contextualized multi-state parallelism', 'start_date': datetime.datetime(2018, 2, 24, 9, 5, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 15, 22, 21, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 30, 16, 56, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '39b0c70e-145d-47d5-9225-7cd5a061744b', 'end_date': datetime.datetime(2019, 10, 24, 2, 27, 23), 'start_time': datetime.datetime(2014, 10, 21, 8, 39, 51), 'rate': 4, 'updated_at': datetime.datetime(2011, 1, 21, 13, 14, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Montserrat', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f337a2b2-52b2-4c2d-9e51-cc0183e9bc8b', 'job_description': 'Polarised logistical moratorium', 'start_date': datetime.datetime(2018, 3, 20, 19, 50, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 25, 2, 27, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 22, 7, 11, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '941bfbce-2e5f-4599-870d-cc1fe49b75b4', 'end_date': datetime.datetime(2017, 4, 27, 6, 2, 44), 'start_time': datetime.datetime(2017, 7, 25, 9, 59, 24), 'rate': 3, 'updated_at': datetime.datetime(2018, 2, 16, 9, 10, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd75f3512-8f68-4591-9f76-d88b12b06b0d', 'job_description': 'Cross-platform fresh-thinking archive', 'start_date': datetime.datetime(2014, 8, 7, 14, 8, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 10, 7, 52, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 6, 9, 43, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b5e2c7a7-c7a0-4c0f-8e45-50f11739fca6', 'end_date': datetime.datetime(2017, 5, 28, 17, 41, 19), 'start_time': datetime.datetime(2016, 6, 25, 5, 15, 37), 'rate': 5, 'updated_at': datetime.datetime(2016, 7, 16, 0, 51, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1eebcdf8-6452-4cff-9b31-9c8c5101ad1c', 'job_description': 'Implemented bandwidth-monitored info-mediaries', 'start_date': datetime.datetime(2010, 7, 21, 11, 25, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 8, 22, 39, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 25, 16, 8, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '47177080-a6e4-4796-8599-2b7eec0ca19f', 'end_date': datetime.datetime(2014, 1, 25, 16, 7, 25), 'start_time': datetime.datetime(2019, 1, 9, 21, 45, 33), 'rate': 4, 'updated_at': datetime.datetime(2019, 11, 25, 2, 42, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '82b38339-3e22-4703-9bcf-feacb8798dcb', 'job_description': 'Progressive motivating Graphic Interface', 'start_date': datetime.datetime(2012, 10, 22, 22, 5, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 5, 22, 49, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 22, 18, 47, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c5aa8292-4008-43d2-9ea8-4e353d71e876', 'end_date': datetime.datetime(2019, 10, 9, 13, 20, 26), 'start_time': datetime.datetime(2016, 6, 2, 22, 43, 8), 'rate': 1, 'updated_at': datetime.datetime(2012, 5, 31, 0, 7, 8), 'job_title': 'CoffeeMaker', 'service_id': 'New Caledonia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c9a6f22-d5d7-476b-91b6-36f42d518760', 'job_description': 'Implemented client-driven application', 'start_date': datetime.datetime(2013, 11, 17, 9, 55, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 11, 4, 28, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 6, 10, 4, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5b7f2e1e-78b7-4b1f-b6cd-5fd9b99df143', 'end_date': datetime.datetime(2016, 6, 26, 7, 59, 53), 'start_time': datetime.datetime(2017, 8, 13, 10, 3, 1), 'rate': 4, 'updated_at': datetime.datetime(2010, 3, 27, 13, 51, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '02b392e3-3532-4925-99c1-36746033a40a', 'job_description': 'Fundamental dynamic strategy', 'start_date': datetime.datetime(2016, 1, 4, 18, 23, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 16, 8, 21, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 8, 13, 20, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '40bf6d96-b50a-4736-a9e1-2495f23def58', 'end_date': datetime.datetime(2014, 8, 4, 20, 50, 9), 'start_time': datetime.datetime(2018, 7, 27, 9, 33, 14), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 22, 14, 58, 36), 'job_title': 'CoffeeMaker', 'service_id': 'India', 'special_note': 'thanks'}
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{'_id': '3b1963d6-c231-4ad1-810f-31cfa772defa', 'job_description': 'Secured maximized help-desk', 'start_date': datetime.datetime(2019, 9, 4, 14, 56, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 21, 9, 38, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 3, 1, 6, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f7999bff-3ca9-433c-a4c4-1fa0c59703cc', 'end_date': datetime.datetime(2011, 11, 12, 20, 59, 13), 'start_time': datetime.datetime(2017, 12, 29, 12, 43, 37), 'rate': 3, 'updated_at': datetime.datetime(2018, 7, 12, 23, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bca53479-0c6d-4cba-9995-42aecbf58ebb', 'job_description': 'Compatible directional toolset', 'start_date': datetime.datetime(2018, 4, 3, 22, 11, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 7, 6, 40, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 12, 20, 21, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8601859e-248f-49f1-857f-b350d88dd5e7', 'end_date': datetime.datetime(2019, 3, 25, 14, 10, 15), 'start_time': datetime.datetime(2017, 9, 16, 15, 20, 18), 'rate': 5, 'updated_at': datetime.datetime(2018, 6, 7, 2, 45, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Puerto Rico', 'special_note': 'thanks'}
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{'_id': 'f8a5f711-f00f-40fe-8a23-4809aa687384', 'job_description': 'Open-source high-level installation', 'start_date': datetime.datetime(2017, 2, 9, 4, 22, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 13, 8, 24, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 11, 7, 11, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2bdb88b4-8824-4597-8570-e1ad7d72933e', 'end_date': datetime.datetime(2015, 3, 5, 18, 2, 37), 'start_time': datetime.datetime(2015, 3, 26, 22, 50, 45), 'rate': 2, 'updated_at': datetime.datetime(2011, 8, 25, 14, 34, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '29cf7970-28f7-4e17-95e8-2b3bbdbacfee', 'job_description': 'Future-proofed tangible knowledge user', 'start_date': datetime.datetime(2014, 6, 30, 20, 41, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 13, 8, 32, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 14, 8, 25, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '49718c9f-feda-4ec1-bf82-f238d7ead14d', 'end_date': datetime.datetime(2010, 5, 23, 1, 13, 8), 'start_time': datetime.datetime(2018, 4, 1, 11, 42, 28), 'rate': 3, 'updated_at': datetime.datetime(2018, 4, 17, 12, 37, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '80a6ea0d-7fea-4216-b390-856e3fc8c0ba', 'job_description': 'Operative heuristic synergy', 'start_date': datetime.datetime(2015, 7, 2, 20, 59, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 8, 21, 41, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 4, 19, 30, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2aee4572-f3c7-4f29-ae55-f578a1bd22a0', 'end_date': datetime.datetime(2016, 4, 9, 18, 25, 57), 'start_time': datetime.datetime(2010, 8, 17, 13, 10, 19), 'rate': 1, 'updated_at': datetime.datetime(2014, 2, 15, 5, 12, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd1a2e72b-307d-426c-960d-8a1a3201c8b6', 'job_description': 'Vision-oriented impactful leverage', 'start_date': datetime.datetime(2019, 11, 17, 5, 36, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 4, 9, 40, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 17, 10, 7, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5eb46233-45f0-46a4-a1c4-426566854ab5', 'end_date': datetime.datetime(2016, 10, 26, 16, 48, 46), 'start_time': datetime.datetime(2018, 4, 10, 14, 18, 37), 'rate': 5, 'updated_at': datetime.datetime(2013, 3, 26, 11, 11, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5f910a5d-b5c1-46a6-a42b-b46166b3a31c', 'job_description': 'Phased leading edge info-mediaries', 'start_date': datetime.datetime(2013, 5, 18, 13, 48, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 30, 15, 27, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 23, 18, 57, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '383c40cb-dd78-4c54-8b3e-1a1f15ec9306', 'end_date': datetime.datetime(2019, 7, 18, 1, 39, 20), 'start_time': datetime.datetime(2012, 3, 1, 18, 59, 5), 'rate': 1, 'updated_at': datetime.datetime(2014, 7, 14, 23, 21, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '589d0041-26e8-4e41-ba08-c3574711e13f', 'job_description': 'Pre-emptive impactful workforce', 'start_date': datetime.datetime(2018, 3, 4, 18, 6, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 17, 22, 30, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 10, 11, 26, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3287556d-73c7-4000-8b9d-92844da24ecd', 'end_date': datetime.datetime(2017, 12, 29, 18, 18, 49), 'start_time': datetime.datetime(2012, 3, 23, 20, 8, 55), 'rate': 5, 'updated_at': datetime.datetime(2017, 5, 23, 21, 10, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7beab941-5404-4d80-baa5-b6f081ba3250', 'job_description': 'Proactive discrete benchmark', 'start_date': datetime.datetime(2010, 10, 5, 8, 9, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 15, 4, 41, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 1, 0, 7, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '277e08f1-4c57-4176-bc82-4362674f658b', 'end_date': datetime.datetime(2019, 3, 27, 19, 23, 17), 'start_time': datetime.datetime(2018, 7, 9, 1, 30, 8), 'rate': 1, 'updated_at': datetime.datetime(2012, 6, 5, 8, 28, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8468adc-35da-41f5-95d5-17afa977d7df', 'job_description': 'Object-based holistic collaboration', 'start_date': datetime.datetime(2014, 8, 11, 12, 24, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 9, 18, 59, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 9, 17, 47, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3bcf5323-249e-4fab-b334-8385bf5bd0ae', 'end_date': datetime.datetime(2011, 8, 6, 19, 11, 32), 'start_time': datetime.datetime(2012, 5, 23, 9, 2, 57), 'rate': 5, 'updated_at': datetime.datetime(2015, 11, 13, 3, 10, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a39f4d11-7e0a-4fe4-8b2a-c9137d1f4647', 'job_description': 'Versatile even-keeled help-desk', 'start_date': datetime.datetime(2010, 10, 15, 10, 56, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 16, 4, 16, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 11, 2, 34, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '00297f0f-1218-4c0f-8ab3-4dd461857ad7', 'end_date': datetime.datetime(2011, 10, 10, 15, 53, 2), 'start_time': datetime.datetime(2010, 8, 29, 11, 25, 8), 'rate': 3, 'updated_at': datetime.datetime(2016, 11, 21, 15, 58, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8a46efd5-b9a6-4457-bd52-fbd257bf04f2', 'job_description': 'Compatible 24/7 adapter', 'start_date': datetime.datetime(2018, 3, 18, 23, 23, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 23, 4, 26, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 29, 22, 31, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ac6ce160-a110-4c9b-a2e2-4397a9a9d90c', 'end_date': datetime.datetime(2011, 1, 30, 20, 38, 55), 'start_time': datetime.datetime(2016, 11, 16, 22, 22, 13), 'rate': 1, 'updated_at': datetime.datetime(2015, 8, 26, 8, 28, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8d1acd4c-2605-4497-a36f-63a1994ff016', 'job_description': 'Re-engineered interactive matrix', 'start_date': datetime.datetime(2010, 2, 4, 8, 39, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 13, 8, 32, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 14, 0, 18, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5f10a539-5b48-43dc-a6b2-261f56d4e1db', 'end_date': datetime.datetime(2012, 12, 5, 15, 4, 51), 'start_time': datetime.datetime(2016, 10, 5, 20, 36, 1), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 4, 9, 55, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aad15d0e-e312-44da-a9dd-92b31152b21b', 'job_description': 'Configurable assymetric open architecture', 'start_date': datetime.datetime(2018, 1, 5, 21, 11, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 23, 19, 38, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 19, 13, 16, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1cce9d4b-60f3-4a78-840d-5aa1a681c56b', 'end_date': datetime.datetime(2013, 10, 16, 10, 52, 6), 'start_time': datetime.datetime(2017, 5, 28, 3, 7, 15), 'rate': 1, 'updated_at': datetime.datetime(2016, 12, 21, 22, 33, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Antarctica (the territory South of 60 deg S)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c395922-3a31-4481-97ce-e883a5331ca4', 'job_description': 'Advanced system-worthy firmware', 'start_date': datetime.datetime(2014, 2, 22, 5, 12, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 30, 0, 30, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 2, 5, 44, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '728d4406-c989-4f89-a95e-5e5d53ab867c', 'end_date': datetime.datetime(2019, 8, 10, 4, 8, 16), 'start_time': datetime.datetime(2017, 10, 29, 13, 23, 10), 'rate': 4, 'updated_at': datetime.datetime(2011, 6, 16, 6, 54, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a29a445f-b817-4639-a256-c784fa55f1d6', 'job_description': 'Multi-tiered systematic data-warehouse', 'start_date': datetime.datetime(2016, 1, 25, 19, 48, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 15, 3, 51, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 30, 5, 0, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '36d9a408-8a08-4d22-80a2-5862dcba70b2', 'end_date': datetime.datetime(2019, 1, 16, 1, 11, 59), 'start_time': datetime.datetime(2015, 4, 2, 3, 16, 6), 'rate': 2, 'updated_at': datetime.datetime(2012, 7, 23, 10, 33, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b6c7b3c9-9d3f-4bf0-8dc2-3caa8b02ed32', 'job_description': 'Synergistic foreground implementation', 'start_date': datetime.datetime(2018, 1, 14, 23, 46, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 24, 2, 59, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 19, 19, 55, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83d5d1fb-1699-4cea-a6a4-fb2e0efc347e', 'end_date': datetime.datetime(2015, 5, 7, 18, 1, 21), 'start_time': datetime.datetime(2012, 9, 21, 18, 8, 35), 'rate': 1, 'updated_at': datetime.datetime(2014, 3, 7, 4, 40, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '89a96b71-85eb-4d70-b514-377e0c565248', 'job_description': 'Ergonomic reciprocal matrix', 'start_date': datetime.datetime(2013, 9, 5, 13, 49, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 4, 7, 10, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 23, 4, 58, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77ba439a-853d-4e56-b3e4-fd4ebd900305', 'end_date': datetime.datetime(2011, 8, 28, 14, 9, 52), 'start_time': datetime.datetime(2015, 1, 16, 10, 20, 52), 'rate': 5, 'updated_at': datetime.datetime(2013, 1, 11, 9, 31, 17), 'job_title': 'CoffeeMaker', 'service_id': 'South Africa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '590db5d3-a8ce-41da-bdab-c3eaa75867e5', 'job_description': 'Enterprise-wide responsive orchestration', 'start_date': datetime.datetime(2011, 12, 8, 3, 9, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 23, 17, 9, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 24, 17, 11, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d2e50db-4dcf-4532-8675-922b89299062', 'end_date': datetime.datetime(2019, 1, 16, 15, 18, 38), 'start_time': datetime.datetime(2014, 2, 28, 21, 11, 58), 'rate': 1, 'updated_at': datetime.datetime(2013, 2, 2, 0, 10, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0aea68cb-2fd5-4b84-b356-7ccbee703d79', 'job_description': 'Multi-layered context-sensitive policy', 'start_date': datetime.datetime(2015, 11, 11, 23, 55, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 25, 22, 23, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 29, 6, 16, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '55fe4739-8fea-4a83-b3a7-5da9f8c9653c', 'end_date': datetime.datetime(2019, 10, 26, 3, 7, 4), 'start_time': datetime.datetime(2015, 5, 6, 18, 50, 20), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 29, 17, 0, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1d4bd535-c18a-4224-8737-fbb25ce305a0', 'job_description': 'Managed object-oriented firmware', 'start_date': datetime.datetime(2018, 11, 23, 10, 19, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 19, 1, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 22, 8, 30, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6f0a2bc5-3e33-4108-b77f-3f2a2566f791', 'end_date': datetime.datetime(2015, 11, 26, 14, 39, 57), 'start_time': datetime.datetime(2011, 8, 18, 23, 46, 57), 'rate': 3, 'updated_at': datetime.datetime(2016, 5, 15, 19, 7, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3bf8f1c9-869d-4a0f-ac79-781326888f00', 'job_description': 'Focused mobile moratorium', 'start_date': datetime.datetime(2014, 12, 1, 15, 4, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 3, 22, 40, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 19, 7, 57, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '201736ae-7d3c-4d7c-8e31-87ab1163fcb6', 'end_date': datetime.datetime(2013, 3, 4, 4, 55, 29), 'start_time': datetime.datetime(2014, 12, 17, 7, 31, 9), 'rate': 2, 'updated_at': datetime.datetime(2013, 6, 29, 15, 56, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ebe803b0-c160-40cd-972c-525f9a0d7885', 'job_description': 'User-centric multi-state open system', 'start_date': datetime.datetime(2016, 1, 4, 9, 45, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 5, 5, 41, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 12, 14, 40, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fbd350bf-2ba1-4d26-ac47-f7eb1b670d69', 'end_date': datetime.datetime(2012, 7, 6, 0, 13, 45), 'start_time': datetime.datetime(2010, 12, 18, 12, 5), 'rate': 2, 'updated_at': datetime.datetime(2010, 3, 6, 7, 53, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e13dab1-9c67-42ce-a876-496ed50c281b', 'job_description': 'Cloned interactive collaboration', 'start_date': datetime.datetime(2017, 9, 10, 8, 34, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 20, 7, 13, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 24, 20, 16, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e758c757-c084-413a-8ec2-1c8276028024', 'end_date': datetime.datetime(2010, 5, 5, 2, 4, 3), 'start_time': datetime.datetime(2013, 4, 15, 1, 10, 14), 'rate': 5, 'updated_at': datetime.datetime(2017, 12, 4, 8, 45, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3821f4f2-3dd6-4265-b8d1-60474751f9c0', 'job_description': 'Multi-lateral discrete knowledge base', 'start_date': datetime.datetime(2012, 8, 7, 14, 21, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 8, 2, 51, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 4, 13, 54, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '73b6c5c1-3fee-4833-a615-40dec3b70aae', 'end_date': datetime.datetime(2012, 12, 23, 22, 57, 13), 'start_time': datetime.datetime(2018, 3, 8, 3, 50, 33), 'rate': 1, 'updated_at': datetime.datetime(2013, 10, 20, 20, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'da905c84-2a5b-46d5-a583-e67ff9094597', 'job_description': 'Automated next generation moratorium', 'start_date': datetime.datetime(2013, 9, 26, 2, 46, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 16, 2, 0, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 9, 17, 8, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '479c191b-9432-4f26-8b69-68d0494c73e7', 'end_date': datetime.datetime(2014, 12, 20, 1, 55, 41), 'start_time': datetime.datetime(2018, 6, 22, 7, 56, 26), 'rate': 3, 'updated_at': datetime.datetime(2019, 7, 6, 21, 18, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1d8675d0-038b-4b17-86d6-9902b87b0e45', 'job_description': 'Devolved interactive policy', 'start_date': datetime.datetime(2018, 10, 9, 9, 37, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 11, 10, 41, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 6, 15, 11, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '20202f52-81e5-4240-89da-3c3b45d64163', 'end_date': datetime.datetime(2012, 7, 12, 16, 53, 29), 'start_time': datetime.datetime(2014, 8, 1, 22, 26, 28), 'rate': 5, 'updated_at': datetime.datetime(2017, 2, 21, 11, 38, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '371409a1-de0d-4af0-ad9c-7b4a5df746df', 'job_description': 'Ameliorated bifurcated data-warehouse', 'start_date': datetime.datetime(2015, 2, 24, 23, 0, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 19, 7, 0, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 2, 14, 30, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f99c7521-4214-468f-bf86-d3f6dcaf917f', 'end_date': datetime.datetime(2019, 8, 6, 23, 44, 8), 'start_time': datetime.datetime(2011, 5, 6, 2, 44, 30), 'rate': 5, 'updated_at': datetime.datetime(2010, 6, 12, 2, 10, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '05ceb219-e3bd-4644-9070-35e2fceddeb0', 'job_description': 'Decentralized reciprocal matrix', 'start_date': datetime.datetime(2015, 2, 28, 17, 33, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 17, 5, 14, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 1, 7, 12, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '89a0b152-c618-46cb-856c-af2ee71a530e', 'end_date': datetime.datetime(2012, 12, 14, 23, 22, 50), 'start_time': datetime.datetime(2015, 6, 24, 16, 51, 29), 'rate': 4, 'updated_at': datetime.datetime(2014, 12, 15, 18, 18, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e4a3fef9-4b36-440e-8074-1d71400ed597', 'job_description': 'Digitized modular attitude', 'start_date': datetime.datetime(2010, 10, 2, 8, 12, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 8, 9, 57, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 16, 16, 32, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5c205b72-70c7-4f98-a8c3-dc34b06a5a5b', 'end_date': datetime.datetime(2016, 6, 23, 10, 21, 36), 'start_time': datetime.datetime(2016, 4, 5, 1, 45, 18), 'rate': 3, 'updated_at': datetime.datetime(2018, 12, 13, 1, 25, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e7811fbd-3c5f-41e3-bd10-0306f9945a77', 'job_description': 'Proactive web-enabled pricing structure', 'start_date': datetime.datetime(2015, 6, 1, 3, 15, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 24, 3, 38, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 3, 19, 17, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8c8c16ba-b3e3-4681-8b08-088f081b9f73', 'end_date': datetime.datetime(2018, 10, 28, 8, 37, 48), 'start_time': datetime.datetime(2013, 1, 31, 14, 38, 16), 'rate': 1, 'updated_at': datetime.datetime(2017, 9, 21, 13, 2, 29), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f829c553-58c6-4630-94bb-f539185f2ed6', 'job_description': 'Business-focused tertiary superstructure', 'start_date': datetime.datetime(2011, 1, 28, 2, 14, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 9, 7, 1, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 6, 20, 4, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0a69a0a-38d0-4859-b9b8-e4066d4b0650', 'end_date': datetime.datetime(2013, 7, 16, 16, 18, 7), 'start_time': datetime.datetime(2014, 4, 2, 12, 48, 58), 'rate': 2, 'updated_at': datetime.datetime(2016, 1, 18, 5, 22, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '91eeff06-3ab0-486a-8789-573b6d787d80', 'job_description': 'User-centric eco-centric local area network', 'start_date': datetime.datetime(2018, 6, 23, 23, 19, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 24, 10, 22, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 26, 23, 3, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '58eb5916-4f6e-4150-9ec5-2c24bfb316ac', 'end_date': datetime.datetime(2013, 10, 5, 15, 27, 27), 'start_time': datetime.datetime(2018, 1, 21, 0, 38, 17), 'rate': 3, 'updated_at': datetime.datetime(2016, 10, 9, 11, 28, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '359db291-2737-47ac-b24c-81fc1bf72d96', 'job_description': 'Re-engineered multi-state database', 'start_date': datetime.datetime(2010, 2, 25, 6, 27, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 20, 23, 41, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 28, 14, 54, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a8dce849-6b0a-4e08-a147-11926a5303e6', 'end_date': datetime.datetime(2015, 4, 30, 13, 31, 59), 'start_time': datetime.datetime(2017, 9, 29, 12, 10, 22), 'rate': 4, 'updated_at': datetime.datetime(2014, 2, 17, 8, 11, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8263c0d8-21a1-4196-8a31-e12d006c51f6', 'job_description': 'Quality-focused scalable circuit', 'start_date': datetime.datetime(2018, 11, 2, 11, 7, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 1, 14, 29, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 19, 16, 35, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '40aafbf1-cfe8-47f3-89a4-d993f786a06b', 'end_date': datetime.datetime(2015, 11, 18, 11, 42, 49), 'start_time': datetime.datetime(2018, 8, 21, 4, 29, 19), 'rate': 4, 'updated_at': datetime.datetime(2014, 1, 2, 14, 48, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ed229d33-c379-4ac3-9741-3fc83476d1c5', 'job_description': 'Horizontal multi-tasking software', 'start_date': datetime.datetime(2012, 2, 24, 23, 13, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 9, 12, 6, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 31, 11, 49, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0dbf4870-58fb-4d48-b1e1-ba733eb2745d', 'end_date': datetime.datetime(2017, 10, 17, 18, 41, 3), 'start_time': datetime.datetime(2014, 5, 23, 18, 49, 11), 'rate': 2, 'updated_at': datetime.datetime(2013, 4, 22, 21, 24, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Latvia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b3ecfac-1050-499f-a032-f2fb1e6dfb73', 'job_description': 'Cross-platform holistic attitude', 'start_date': datetime.datetime(2010, 8, 16, 17, 0, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 2, 19, 14, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 7, 11, 8, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b1f1e71c-f416-4b90-8260-d0cc2f9359b8', 'end_date': datetime.datetime(2010, 11, 9, 10, 22, 5), 'start_time': datetime.datetime(2012, 1, 1, 8, 37, 57), 'rate': 1, 'updated_at': datetime.datetime(2016, 9, 28, 23, 42, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '285471df-b28a-426b-a490-e4fa57b08c39', 'job_description': 'Robust neutral productivity', 'start_date': datetime.datetime(2011, 8, 27, 18, 38, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 30, 17, 0, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 20, 9, 7, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '76f516a7-c5cf-4546-b56e-dec801aab5c6', 'end_date': datetime.datetime(2015, 10, 19, 0, 0), 'start_time': datetime.datetime(2010, 12, 28, 5, 39, 27), 'rate': 3, 'updated_at': datetime.datetime(2014, 3, 31, 11, 40, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8113a474-c431-4c61-b0ab-bd18457b8679', 'job_description': 'Robust maximized extranet', 'start_date': datetime.datetime(2012, 8, 8, 10, 8, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 29, 18, 2, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 3, 9, 3, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '243057de-c1d0-4b4b-8b48-500ae32eba24', 'end_date': datetime.datetime(2017, 5, 26, 3, 43, 30), 'start_time': datetime.datetime(2015, 8, 14, 18, 0, 22), 'rate': 3, 'updated_at': datetime.datetime(2018, 12, 25, 6, 2, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '59ca0338-1991-4cf6-8bf6-0d984743f209', 'job_description': 'Future-proofed actuating methodology', 'start_date': datetime.datetime(2018, 3, 18, 7, 58, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 13, 8, 43, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 19, 10, 22, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '12143318-262d-4316-817e-159521fd389a', 'end_date': datetime.datetime(2019, 7, 18, 10, 56, 2), 'start_time': datetime.datetime(2017, 5, 12, 0, 8, 56), 'rate': 2, 'updated_at': datetime.datetime(2011, 2, 19, 10, 4, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '89049efd-37c8-4693-88a1-9d7992a032c1', 'job_description': 'Switchable scalable data-warehouse', 'start_date': datetime.datetime(2016, 3, 26, 14, 55, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 6, 19, 34, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 3, 22, 35, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '58ed49ca-3974-4f09-9a27-5a5192ff98a9', 'end_date': datetime.datetime(2018, 10, 14, 22, 23, 44), 'start_time': datetime.datetime(2015, 6, 26, 22, 48, 33), 'rate': 5, 'updated_at': datetime.datetime(2015, 12, 17, 16, 38, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Japan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9c355163-d692-4654-bc6e-8e013ad7a2af', 'job_description': 'Polarised zero administration definition', 'start_date': datetime.datetime(2016, 5, 27, 3, 1, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 6, 5, 23, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 20, 18, 2, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '02bc697c-8835-433c-bd64-f867bab34fd2', 'end_date': datetime.datetime(2015, 12, 18, 13, 22, 59), 'start_time': datetime.datetime(2011, 3, 11, 22, 41, 21), 'rate': 5, 'updated_at': datetime.datetime(2017, 9, 18, 16, 22, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '53c1998a-1b67-4953-8644-a5e3180d3e4c', 'job_description': 'Object-based heuristic superstructure', 'start_date': datetime.datetime(2014, 8, 19, 7, 10, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 28, 21, 8, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 18, 11, 11, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f25380b8-84a1-4996-b324-b7c5efbf1d8a', 'end_date': datetime.datetime(2013, 10, 17, 2, 24, 27), 'start_time': datetime.datetime(2011, 9, 25, 11, 17, 9), 'rate': 1, 'updated_at': datetime.datetime(2018, 5, 2, 2, 43, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bc996394-85d8-4978-94ef-fe5f9901310f', 'job_description': 'Multi-layered fault-tolerant benchmark', 'start_date': datetime.datetime(2018, 3, 20, 19, 59, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 14, 14, 0, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 13, 14, 50, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d1ff309-1de6-4e8f-91d7-14ec21b3c113', 'end_date': datetime.datetime(2010, 8, 20, 19, 52, 51), 'start_time': datetime.datetime(2011, 9, 12, 6, 4), 'rate': 4, 'updated_at': datetime.datetime(2016, 2, 1, 11, 50, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': 'a2dc9e04-0250-4539-829e-7d7f983ca792', 'job_description': 'Managed motivating solution', 'start_date': datetime.datetime(2015, 3, 13, 13, 49, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 1, 22, 47, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 10, 20, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f10862df-8edb-402f-91bb-8f12c1427583', 'end_date': datetime.datetime(2018, 2, 12, 8, 35, 39), 'start_time': datetime.datetime(2017, 4, 21, 1, 17, 30), 'rate': 2, 'updated_at': datetime.datetime(2015, 8, 19, 12, 44, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c69d1503-317e-4d3b-a629-3cf03c6e663c', 'job_description': 'Profound systematic internet solution', 'start_date': datetime.datetime(2014, 1, 8, 13, 54, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 9, 21, 27, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 10, 19, 9, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '649c6abd-e07f-4a0d-87ff-639857587988', 'end_date': datetime.datetime(2016, 8, 11, 19, 8, 24), 'start_time': datetime.datetime(2014, 4, 15, 14, 0, 44), 'rate': 5, 'updated_at': datetime.datetime(2015, 11, 19, 15, 41, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '31c686fb-9f23-4208-b0a2-ef779f0c6302', 'job_description': 'Integrated motivating forecast', 'start_date': datetime.datetime(2013, 2, 7, 17, 52, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 11, 9, 57, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 12, 18, 16, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7fb5a9c2-574c-4271-8583-e77b10411adc', 'end_date': datetime.datetime(2010, 10, 27, 8, 16, 25), 'start_time': datetime.datetime(2011, 5, 11, 8, 14, 25), 'rate': 4, 'updated_at': datetime.datetime(2018, 4, 8, 6, 4, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Indonesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ce9c00e7-2b14-4e91-b3a1-4dc7f934edbd', 'job_description': 'Centralized bandwidth-monitored focus group', 'start_date': datetime.datetime(2010, 2, 7, 13, 21, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 21, 13, 54, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 25, 9, 36, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a8ad706a-4de1-45a1-90b3-2e9731ed8dc1', 'end_date': datetime.datetime(2018, 4, 8, 14, 36, 59), 'start_time': datetime.datetime(2010, 3, 1, 10, 25), 'rate': 2, 'updated_at': datetime.datetime(2010, 4, 25, 16, 1, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Gambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1443940c-d9a1-41f8-aef2-b25cb2229a88', 'job_description': 'Grass-roots actuating help-desk', 'start_date': datetime.datetime(2016, 8, 13, 16, 21, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 7, 12, 26, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 31, 21, 25, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e30aba10-166d-477c-a7e9-7165a3f2e893', 'end_date': datetime.datetime(2016, 3, 13, 19, 56, 39), 'start_time': datetime.datetime(2016, 10, 30, 18, 24, 20), 'rate': 5, 'updated_at': datetime.datetime(2013, 4, 21, 14, 16, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '86c164ee-012a-42f4-91e7-02c4fccbda01', 'job_description': 'Self-enabling next generation groupware', 'start_date': datetime.datetime(2012, 7, 24, 10, 45, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 21, 17, 45, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 3, 16, 4, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '96adcfe6-baf2-48ce-8825-ea0a1a8cbaa5', 'end_date': datetime.datetime(2011, 12, 1, 17, 15, 17), 'start_time': datetime.datetime(2010, 10, 1, 15, 31, 45), 'rate': 1, 'updated_at': datetime.datetime(2012, 6, 28, 3, 9, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10494ab7-766d-4206-a027-98b0a6678952', 'job_description': 'Synergistic intangible toolset', 'start_date': datetime.datetime(2011, 10, 30, 1, 38, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 26, 11, 36, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 22, 17, 2, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1cdd6706-dc6f-4f9e-a3c5-66e42402709c', 'end_date': datetime.datetime(2011, 1, 31, 19, 36, 49), 'start_time': datetime.datetime(2016, 12, 3, 12, 13, 22), 'rate': 2, 'updated_at': datetime.datetime(2013, 5, 9, 6, 51, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3e8cb91d-b415-4807-9791-966cbf0679c0', 'job_description': 'Phased 24/7 knowledge user', 'start_date': datetime.datetime(2010, 11, 20, 12, 52, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 4, 18, 2, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 18, 17, 41, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5eeabf34-6a75-4ee3-816e-2c1fea697ee8', 'end_date': datetime.datetime(2013, 3, 5, 20, 22, 36), 'start_time': datetime.datetime(2018, 10, 25, 14, 29, 30), 'rate': 4, 'updated_at': datetime.datetime(2015, 10, 26, 16, 28, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5fff10dc-c606-4741-9278-e22216e85bd9', 'job_description': 'Synchronised motivating customer loyalty', 'start_date': datetime.datetime(2017, 5, 25, 13, 11, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 25, 13, 33, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 28, 15, 20, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '146fc90f-263e-4885-b8f4-0c1366bd1771', 'end_date': datetime.datetime(2015, 3, 7, 18, 12, 33), 'start_time': datetime.datetime(2014, 1, 24, 2, 34, 52), 'rate': 1, 'updated_at': datetime.datetime(2018, 11, 21, 4, 18, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '83a0ef16-4b66-4a3c-940a-66ae4f452cf8', 'job_description': 'Optional client-server throughput', 'start_date': datetime.datetime(2016, 2, 24, 16, 40, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 15, 0, 24, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 11, 14, 49, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9c9fda46-36e1-4b23-98f1-930ad480da1c', 'end_date': datetime.datetime(2012, 5, 22, 11, 26, 50), 'start_time': datetime.datetime(2010, 3, 26, 15, 51, 1), 'rate': 3, 'updated_at': datetime.datetime(2018, 5, 28, 2, 38, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '812e1d08-4b74-408e-9e28-8377e19cdd31', 'job_description': 'Implemented executive application', 'start_date': datetime.datetime(2016, 6, 18, 13, 44, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 28, 19, 32, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 28, 22, 11, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e8c36116-7e5f-4f2a-8856-b8e313f4b943', 'end_date': datetime.datetime(2011, 11, 17, 10, 14), 'start_time': datetime.datetime(2014, 8, 13, 9, 55, 3), 'rate': 4, 'updated_at': datetime.datetime(2017, 9, 9, 9, 53, 13), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '670d05ca-963a-48d7-97a4-e314bfaa011d', 'job_description': 'Open-architected well-modulated support', 'start_date': datetime.datetime(2014, 5, 5, 4, 51, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 16, 22, 15, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 27, 0, 34, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '551d10f5-96f1-4c6a-bb30-0f7da5746ccb', 'end_date': datetime.datetime(2012, 7, 22, 0, 21, 17), 'start_time': datetime.datetime(2016, 10, 10, 5, 50), 'rate': 4, 'updated_at': datetime.datetime(2015, 4, 30, 10, 4, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd895fa10-c6da-45cb-8eb9-cc5a54b0b94c', 'job_description': 'Secured zero defect approach', 'start_date': datetime.datetime(2015, 11, 30, 9, 44, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 23, 1, 46, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 1, 20, 9, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1ba7fc5e-b124-45a6-b36e-bdc23125b4cd', 'end_date': datetime.datetime(2012, 9, 10, 13, 39, 20), 'start_time': datetime.datetime(2015, 8, 20, 2, 1, 2), 'rate': 5, 'updated_at': datetime.datetime(2010, 4, 30, 13, 7, 22), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1b26b80c-2e50-441a-93c6-47a17355e135', 'job_description': 'Synchronised bifurcated throughput', 'start_date': datetime.datetime(2014, 11, 8, 18, 15, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 14, 22, 11, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 3, 21, 39, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cbeea5dc-713c-44bd-892f-30706e788112', 'end_date': datetime.datetime(2011, 9, 20, 14, 51, 36), 'start_time': datetime.datetime(2014, 12, 7, 8, 0, 29), 'rate': 4, 'updated_at': datetime.datetime(2019, 2, 11, 7, 17, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Andorra', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '66da1708-0f05-4248-9730-88b5ed0db62b', 'job_description': 'Ergonomic explicit interface', 'start_date': datetime.datetime(2014, 4, 21, 0, 35, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 30, 8, 4, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 7, 3, 15, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fefab2ec-596f-4c20-9c15-90a137b1fc44', 'end_date': datetime.datetime(2011, 4, 14, 17, 58, 16), 'start_time': datetime.datetime(2011, 10, 18, 4, 36, 14), 'rate': 3, 'updated_at': datetime.datetime(2016, 12, 10, 11, 14, 26), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '199d4696-0324-4d57-b946-16975dc2505a', 'job_description': 'Right-sized bi-directional customer loyalty', 'start_date': datetime.datetime(2014, 11, 8, 1, 46, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 22, 12, 13, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 24, 11, 55, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '45694b8e-fb6f-4a2a-bb82-754486afd059', 'end_date': datetime.datetime(2012, 11, 16, 23, 6, 5), 'start_time': datetime.datetime(2012, 8, 23, 0, 18), 'rate': 5, 'updated_at': datetime.datetime(2011, 9, 30, 22, 47, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bddf4a49-9ed4-4ba7-9d39-f90d2e4a8554', 'job_description': 'Ergonomic non-volatile flexibility', 'start_date': datetime.datetime(2011, 8, 25, 14, 55, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 9, 20, 2, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 27, 14, 21, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb1b7b1f-37b9-4749-96b8-ebfc55840341', 'end_date': datetime.datetime(2017, 1, 16, 18, 37, 47), 'start_time': datetime.datetime(2017, 4, 27, 9, 31, 58), 'rate': 1, 'updated_at': datetime.datetime(2013, 10, 9, 0, 46, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5bfa508a-3edd-453a-91dc-07bfaadeb1dc', 'job_description': 'Up-sized zero tolerance Graphic Interface', 'start_date': datetime.datetime(2015, 8, 18, 4, 0, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 15, 0, 58, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 31, 7, 31, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '84191394-a958-46a6-81d6-43cee0816cda', 'end_date': datetime.datetime(2017, 11, 29, 4, 15, 32), 'start_time': datetime.datetime(2011, 7, 13, 4, 5, 14), 'rate': 5, 'updated_at': datetime.datetime(2014, 6, 24, 18, 45, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4b734c51-88cb-4e04-9d8d-edbcb68ce75f', 'job_description': 'Configurable 3rd generation policy', 'start_date': datetime.datetime(2014, 7, 13, 14, 35, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 3, 22, 40, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 16, 0, 59, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f3bf7b4-b1d8-47e3-b444-3b1644a24773', 'end_date': datetime.datetime(2015, 1, 25, 12, 52, 25), 'start_time': datetime.datetime(2011, 2, 6, 21, 31, 42), 'rate': 5, 'updated_at': datetime.datetime(2015, 4, 26, 6, 15, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Antigua and Barbuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3aded9fb-b702-4b88-9e14-aa5a5593b9d6', 'job_description': 'Sharable methodical info-mediaries', 'start_date': datetime.datetime(2017, 10, 14, 1, 43, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 8, 20, 55, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 8, 0, 8, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb628f17-86de-4fe2-8961-28598804404c', 'end_date': datetime.datetime(2014, 3, 2, 20, 4, 2), 'start_time': datetime.datetime(2019, 8, 23, 9, 56, 48), 'rate': 3, 'updated_at': datetime.datetime(2014, 10, 26, 6, 10, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ed5d3f2b-fede-4912-8e9c-1223a5de5283', 'job_description': 'Open-architected assymetric moratorium', 'start_date': datetime.datetime(2010, 10, 20, 14, 4, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 10, 17, 58, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 9, 14, 9, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1107f5d5-2f3d-49f1-aa82-0634e8c0b3f2', 'end_date': datetime.datetime(2018, 9, 10, 15, 29, 53), 'start_time': datetime.datetime(2012, 6, 3, 18, 51, 10), 'rate': 2, 'updated_at': datetime.datetime(2014, 5, 22, 10, 54, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '07ec1b21-5928-4d69-8353-ab253543bf22', 'job_description': 'Right-sized composite benchmark', 'start_date': datetime.datetime(2018, 10, 28, 9, 43, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 18, 0, 52, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 27, 8, 12, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8a4676f8-2b86-4b62-bb4b-7956caa4e2d6', 'end_date': datetime.datetime(2017, 3, 7, 13, 16, 35), 'start_time': datetime.datetime(2019, 11, 15, 15, 59, 32), 'rate': 2, 'updated_at': datetime.datetime(2010, 5, 19, 16, 42, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fc2f8229-b907-4705-814d-b0eca7bf684a', 'job_description': 'Cross-platform actuating attitude', 'start_date': datetime.datetime(2011, 10, 29, 1, 36, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 31, 23, 53, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 23, 1, 29, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ce4d354f-ba24-43f8-859e-0a36c2bd2817', 'end_date': datetime.datetime(2018, 9, 26, 13, 28, 46), 'start_time': datetime.datetime(2010, 12, 4, 5, 47, 27), 'rate': 5, 'updated_at': datetime.datetime(2010, 1, 19, 5, 59, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9e0b0603-e3a1-47c2-a867-602b594908eb', 'job_description': 'Horizontal hybrid architecture', 'start_date': datetime.datetime(2014, 1, 10, 20, 31, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 21, 3, 16, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 29, 12, 39, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d87dcf7-a4de-4ab1-91f8-529f15fb3a91', 'end_date': datetime.datetime(2014, 2, 2, 0, 29, 48), 'start_time': datetime.datetime(2017, 8, 9, 5, 17, 18), 'rate': 4, 'updated_at': datetime.datetime(2015, 10, 8, 7, 39, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '19e2d0a1-6c36-4361-b7c0-8f1f4cbeb4e7', 'job_description': 'Optimized needs-based matrices', 'start_date': datetime.datetime(2014, 10, 9, 6, 30, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 10, 10, 47, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 21, 12, 20, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c131934d-3ea0-45cd-bde9-fd5af0461e06', 'end_date': datetime.datetime(2011, 3, 16, 1, 39, 28), 'start_time': datetime.datetime(2017, 10, 31, 13, 17, 53), 'rate': 2, 'updated_at': datetime.datetime(2017, 11, 5, 11, 23, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '55f83bdd-676d-424e-9e1e-e98e158e6771', 'job_description': 'Decentralized logistical interface', 'start_date': datetime.datetime(2018, 5, 3, 8, 1, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 3, 8, 46, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 17, 11, 6, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '583137d2-1685-4438-a594-44ffb20a1610', 'end_date': datetime.datetime(2010, 4, 18, 13, 8, 35), 'start_time': datetime.datetime(2019, 3, 14, 11, 38, 11), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 18, 13, 3, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Afghanistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b988a047-b192-4c50-a7f9-d33e6de9e363', 'job_description': 'Automated optimal encoding', 'start_date': datetime.datetime(2018, 10, 4, 19, 35, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 13, 10, 1, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 11, 14, 46, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '484ddff6-a3c8-4862-8c35-86861c1069aa', 'end_date': datetime.datetime(2017, 8, 4, 12, 8, 31), 'start_time': datetime.datetime(2016, 10, 14, 11, 56, 4), 'rate': 4, 'updated_at': datetime.datetime(2015, 9, 21, 17, 14, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
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{'_id': 'bf1a78cd-414c-477f-bf74-06be7f605d10', 'job_description': 'Monitored context-sensitive success', 'start_date': datetime.datetime(2015, 9, 2, 11, 16, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 20, 18, 7, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 6, 5, 33, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '32f75762-2123-40c2-82fb-d177d5c09b4c', 'end_date': datetime.datetime(2012, 12, 11, 18, 43, 41), 'start_time': datetime.datetime(2010, 7, 9, 14, 53, 27), 'rate': 1, 'updated_at': datetime.datetime(2015, 5, 10, 2, 17, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Liberia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3cba6662-e865-4ccb-8131-fc15e7c37f18', 'job_description': 'Balanced assymetric productivity', 'start_date': datetime.datetime(2018, 6, 17, 0, 1, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 9, 6, 0), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 5, 15, 49, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '32462cd5-512a-4c4b-bfa3-e43c332f9d74', 'end_date': datetime.datetime(2010, 8, 27, 4, 38, 24), 'start_time': datetime.datetime(2011, 2, 18, 13, 46, 3), 'rate': 2, 'updated_at': datetime.datetime(2011, 11, 26, 11, 30, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7ababf27-60b6-41a1-88ae-ccb669580e6c', 'job_description': 'Networked optimal middleware', 'start_date': datetime.datetime(2015, 5, 20, 20, 42, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 8, 11, 38, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 7, 22, 43, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '87459651-945e-4327-96e9-e81cc7cd2e8f', 'end_date': datetime.datetime(2016, 10, 23, 3, 43, 20), 'start_time': datetime.datetime(2016, 8, 24, 18, 26, 9), 'rate': 4, 'updated_at': datetime.datetime(2013, 9, 11, 2, 3, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f4fabbac-3a4f-493f-887b-3d1c5d86f730', 'job_description': 'Switchable solution-oriented methodology', 'start_date': datetime.datetime(2014, 1, 27, 20, 40, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 16, 6, 41, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 4, 14, 39, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ae0cc970-43cd-49a7-8c42-f4ed7eae8117', 'end_date': datetime.datetime(2017, 12, 10, 21, 8, 11), 'start_time': datetime.datetime(2012, 10, 16, 6, 34, 3), 'rate': 4, 'updated_at': datetime.datetime(2010, 3, 20, 20, 59, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '692bb8a7-f389-4fbc-b8e7-8ab829896331', 'job_description': 'Universal fresh-thinking conglomeration', 'start_date': datetime.datetime(2014, 11, 26, 8, 37, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 20, 3, 21, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 14, 11, 48, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd86e8cfb-7db9-4702-8593-5332f230c138', 'end_date': datetime.datetime(2012, 6, 13, 5, 20, 29), 'start_time': datetime.datetime(2013, 11, 5, 0, 1, 36), 'rate': 4, 'updated_at': datetime.datetime(2011, 5, 6, 14, 50, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8caa36af-1f88-4c17-bb02-5fe11ad56f2f', 'job_description': 'Enterprise-wide assymetric protocol', 'start_date': datetime.datetime(2017, 1, 24, 11, 9, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 18, 22, 42, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 2, 9, 8, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '719b3e14-bb64-4c5b-9788-632f8fd45435', 'end_date': datetime.datetime(2013, 5, 29, 9, 23, 17), 'start_time': datetime.datetime(2011, 7, 25, 3, 25, 40), 'rate': 4, 'updated_at': datetime.datetime(2010, 10, 1, 4, 22, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6cfb7ac5-eee8-4af3-acf7-f90a1358a9ac', 'job_description': 'Synergistic explicit matrix', 'start_date': datetime.datetime(2013, 9, 26, 0, 38, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 15, 3, 22, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 16, 14, 30, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '187c13e4-6cf9-4a04-80eb-85f086067768', 'end_date': datetime.datetime(2016, 11, 3, 5, 49, 18), 'start_time': datetime.datetime(2019, 11, 13, 7, 55, 9), 'rate': 3, 'updated_at': datetime.datetime(2018, 12, 28, 13, 26, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Mozambique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5e52e830-81ad-402f-978f-7f228ee3a720', 'job_description': 'Digitized local forecast', 'start_date': datetime.datetime(2015, 3, 11, 11, 11, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 17, 17, 47, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 25, 23, 7, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ad40d46d-9603-4be2-b558-db7db4cc3ec6', 'end_date': datetime.datetime(2010, 12, 9, 15, 8, 8), 'start_time': datetime.datetime(2015, 7, 7, 2, 9, 24), 'rate': 1, 'updated_at': datetime.datetime(2012, 8, 6, 19, 7, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f9662700-922f-47de-a58a-d1d9b9fce5ce', 'job_description': 'Implemented empowering intranet', 'start_date': datetime.datetime(2011, 10, 19, 0, 58, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 29, 9, 57, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 30, 15, 41, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b0bed558-0f10-4a52-8a6b-fb5d0d5b6dea', 'end_date': datetime.datetime(2011, 10, 19, 3, 51, 45), 'start_time': datetime.datetime(2014, 1, 26, 20, 7, 48), 'rate': 4, 'updated_at': datetime.datetime(2017, 2, 15, 1, 0, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f4519be1-f5bc-46ed-99bb-01a1c2dba76f', 'job_description': 'Object-based systemic initiative', 'start_date': datetime.datetime(2014, 11, 9, 10, 30, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 26, 8, 49, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 17, 11, 8, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '78c71d21-3d03-476e-a7fa-4b10a7155bf0', 'end_date': datetime.datetime(2016, 6, 1, 22, 52, 58), 'start_time': datetime.datetime(2014, 7, 6, 17, 53, 10), 'rate': 1, 'updated_at': datetime.datetime(2013, 6, 27, 4, 54, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b6e904d1-aa1e-43fd-8a9d-0ce4567672f0', 'job_description': 'Sharable grid-enabled methodology', 'start_date': datetime.datetime(2015, 11, 21, 23, 14, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 31, 17, 40, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 16, 13, 37, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b3531661-569c-4209-a48f-f33812391d32', 'end_date': datetime.datetime(2011, 7, 28, 3, 2, 18), 'start_time': datetime.datetime(2010, 8, 21, 23, 34, 52), 'rate': 2, 'updated_at': datetime.datetime(2016, 6, 9, 14, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '40401f3b-658d-49cb-ac61-303a1f4204a8', 'job_description': 'Distributed system-worthy challenge', 'start_date': datetime.datetime(2011, 5, 5, 14, 43, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 10, 16, 10, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 30, 22, 47, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f4d22be3-e922-432f-9396-6a118e1f8f13', 'end_date': datetime.datetime(2015, 2, 2, 13, 2, 48), 'start_time': datetime.datetime(2019, 2, 25, 8, 41, 27), 'rate': 5, 'updated_at': datetime.datetime(2011, 1, 19, 0, 59, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5362663f-16e1-4c04-8515-bcf510294ba6', 'job_description': 'Advanced reciprocal productivity', 'start_date': datetime.datetime(2014, 3, 26, 14, 38, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 8, 6, 35, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 21, 18, 28, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aef5cfb3-e22e-4879-980e-a69c3081cd7c', 'end_date': datetime.datetime(2018, 1, 26, 20, 18, 14), 'start_time': datetime.datetime(2016, 2, 21, 3, 38, 54), 'rate': 5, 'updated_at': datetime.datetime(2013, 9, 2, 7, 50, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fb528167-9b1f-4b17-b3e7-e7bc5ed76ae6', 'job_description': 'Down-sized zero administration implementation', 'start_date': datetime.datetime(2010, 1, 31, 4, 23, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 20, 0, 25, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 15, 10, 18, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6e268a49-406f-49ed-8490-362e471cd159', 'end_date': datetime.datetime(2012, 11, 9, 10, 4, 13), 'start_time': datetime.datetime(2010, 10, 2, 11, 13, 40), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 17, 14, 59, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd2c9e18b-f1f4-4381-a2c7-7d20a605810f', 'job_description': 'Cross-platform stable conglomeration', 'start_date': datetime.datetime(2016, 10, 12, 7, 51, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 9, 4, 52, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 9, 22, 13, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '27809117-de89-44a9-8a50-99ba77f75e5e', 'end_date': datetime.datetime(2018, 3, 28, 19, 28, 58), 'start_time': datetime.datetime(2012, 6, 13, 1, 19, 43), 'rate': 3, 'updated_at': datetime.datetime(2015, 9, 11, 0, 53, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '70ffe8e9-9d17-4cf9-a546-2cc5d6da92d6', 'job_description': 'Cross-group zero tolerance throughput', 'start_date': datetime.datetime(2018, 5, 7, 17, 31, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 21, 13, 50, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 8, 18, 35, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dd028fca-9876-4be6-8296-135b58fa61f5', 'end_date': datetime.datetime(2018, 10, 10, 4, 41, 15), 'start_time': datetime.datetime(2015, 7, 29, 5, 13, 27), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 20, 8, 1, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '47a1fdb6-c025-4db0-8847-61a036a15a26', 'job_description': 'Sharable modular open architecture', 'start_date': datetime.datetime(2017, 11, 9, 5, 14, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 16, 22, 48, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 24, 4, 52, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc9c74da-2828-4753-a1c7-93d21f539e35', 'end_date': datetime.datetime(2016, 6, 17, 17, 39, 9), 'start_time': datetime.datetime(2012, 8, 19, 17, 37, 53), 'rate': 4, 'updated_at': datetime.datetime(2012, 9, 18, 5, 45, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Bhutan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f59c598d-33e0-4283-b709-21bc51b87af7', 'job_description': 'Robust client-server emulation', 'start_date': datetime.datetime(2019, 6, 7, 16, 50, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 22, 20, 6, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 12, 1, 21, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '26d242da-46fb-4ee9-8544-84d991a79659', 'end_date': datetime.datetime(2013, 9, 28, 10, 47, 45), 'start_time': datetime.datetime(2013, 8, 12, 8, 27, 51), 'rate': 1, 'updated_at': datetime.datetime(2013, 8, 12, 8, 38, 29), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cb3dcd8d-0ade-40bd-aa30-431e744a2473', 'job_description': 'Universal solution-oriented protocol', 'start_date': datetime.datetime(2011, 2, 23, 16, 42, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 5, 15, 55, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 20, 16, 59, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ca854650-e7bc-4e11-a299-b8f3cfd7f101', 'end_date': datetime.datetime(2015, 10, 31, 18, 41, 15), 'start_time': datetime.datetime(2011, 12, 18, 10, 3, 37), 'rate': 3, 'updated_at': datetime.datetime(2016, 3, 25, 14, 27, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c11d44b6-49d7-4949-bd20-fd45b2844436', 'job_description': 'Realigned executive productivity', 'start_date': datetime.datetime(2019, 7, 11, 22, 5, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 9, 11, 16, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 10, 15, 32, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '99d9b9e4-eb0a-4c61-9688-162e7b72da44', 'end_date': datetime.datetime(2010, 9, 29, 4, 7, 49), 'start_time': datetime.datetime(2017, 9, 4, 11, 16, 38), 'rate': 3, 'updated_at': datetime.datetime(2014, 2, 2, 0, 14, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
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{'_id': '493daadb-0e3e-4046-85ec-3e8b633b50ce', 'job_description': 'Robust non-volatile implementation', 'start_date': datetime.datetime(2010, 9, 21, 0, 25, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 4, 18, 38, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 29, 10, 29, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3a819aad-7361-415b-9a96-f5c78e97e71c', 'end_date': datetime.datetime(2017, 3, 17, 9, 25, 38), 'start_time': datetime.datetime(2018, 11, 25, 4, 41, 20), 'rate': 4, 'updated_at': datetime.datetime(2014, 10, 11, 6, 7, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
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{'_id': 'dd8b8853-f3e3-4f32-859d-26f05b989747', 'job_description': 'Team-oriented needs-based Graphic Interface', 'start_date': datetime.datetime(2011, 11, 18, 9, 37, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 5, 22, 22, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 3, 8, 46, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '409c7569-55c6-4d2f-9fb8-ad2ff8e9002d', 'end_date': datetime.datetime(2016, 9, 28, 9, 37, 54), 'start_time': datetime.datetime(2015, 11, 27, 9, 59, 7), 'rate': 2, 'updated_at': datetime.datetime(2019, 1, 6, 15, 11, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
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{'_id': '5988e8ba-5ae0-4b21-9219-486dab3c61aa', 'job_description': 'Cross-platform asynchronous open system', 'start_date': datetime.datetime(2019, 3, 18, 4, 14, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 10, 10, 34, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 4, 12, 48, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '74c08a4e-cbbb-4e25-9a18-7e246b0e3ff2', 'end_date': datetime.datetime(2014, 12, 23, 18, 10, 13), 'start_time': datetime.datetime(2015, 8, 20, 20, 24, 8), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 21, 9, 48, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': '004b2613-475a-475b-b8a4-a99eb21e2d8f', 'job_description': 'Right-sized multi-state customer loyalty', 'start_date': datetime.datetime(2011, 10, 5, 10, 38, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 5, 11, 55, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 22, 8, 10, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9d84cb07-ffd2-4379-9e10-1080761a1ab6', 'end_date': datetime.datetime(2010, 6, 16, 23, 43, 14), 'start_time': datetime.datetime(2011, 11, 26, 10, 19, 15), 'rate': 5, 'updated_at': datetime.datetime(2013, 8, 18, 0, 17, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': '1db48077-e65a-43f1-a609-030cf631db22', 'job_description': 'Business-focused bottom-line standardization', 'start_date': datetime.datetime(2016, 2, 23, 19, 16, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 30, 10, 24, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 11, 3, 42, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dbb4f47b-2c50-4550-86ce-73559498bc54', 'end_date': datetime.datetime(2013, 11, 2, 7, 5, 32), 'start_time': datetime.datetime(2019, 1, 11, 18, 14, 17), 'rate': 5, 'updated_at': datetime.datetime(2010, 8, 29, 22, 5, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Jersey', 'special_note': 'thanks'}
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{'_id': 'cef86c8f-95f0-4a47-9c7b-144e95817b3d', 'job_description': 'Monitored zero defect superstructure', 'start_date': datetime.datetime(2012, 9, 15, 15, 9, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 1, 5, 38, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 15, 3, 15, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '70389b31-fe7f-4fcc-ab86-429c0be3a4b4', 'end_date': datetime.datetime(2013, 9, 29, 9, 41, 9), 'start_time': datetime.datetime(2013, 3, 1, 14, 48, 29), 'rate': 5, 'updated_at': datetime.datetime(2011, 5, 10, 4, 26, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Netherlands', 'special_note': 'thanks'}
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{'_id': '89b6d9bd-d1e5-4f68-8a87-a4cbea63330e', 'job_description': 'Focused optimal success', 'start_date': datetime.datetime(2012, 7, 25, 19, 0, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 20, 8, 45, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 28, 22, 43, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1867bdd9-a21a-4759-9182-5cf2168daedf', 'end_date': datetime.datetime(2019, 1, 20, 13, 29, 35), 'start_time': datetime.datetime(2018, 6, 1, 16, 2, 45), 'rate': 2, 'updated_at': datetime.datetime(2010, 8, 22, 20, 10, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
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{'_id': 'c9341cd7-789d-407f-8cbf-fa635755eedf', 'job_description': 'Cross-group mission-critical standardization', 'start_date': datetime.datetime(2016, 12, 24, 22, 34, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 1, 0, 25, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 4, 21, 47, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e4b43a6-91eb-429b-b197-752710e636e2', 'end_date': datetime.datetime(2012, 10, 25, 16, 16, 22), 'start_time': datetime.datetime(2010, 3, 28, 5, 14), 'rate': 2, 'updated_at': datetime.datetime(2012, 2, 25, 10, 13, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '965b40c6-e469-4381-8272-b95ab93ee364', 'job_description': 'Re-contextualized methodical collaboration', 'start_date': datetime.datetime(2017, 5, 6, 21, 23, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 24, 3, 32, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 22, 11, 15, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7bb3a518-c704-407e-af97-2e47fd06f349', 'end_date': datetime.datetime(2017, 6, 26, 22, 19, 23), 'start_time': datetime.datetime(2017, 12, 4, 0, 59, 9), 'rate': 1, 'updated_at': datetime.datetime(2011, 5, 2, 12, 31, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': '958bc2ad-9910-42bc-80e8-bbb193c561b0', 'job_description': 'Advanced tangible benchmark', 'start_date': datetime.datetime(2016, 7, 18, 2, 46, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 6, 19, 3, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 28, 0, 45, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f385db6f-166a-47a6-a003-efdbc875795c', 'end_date': datetime.datetime(2019, 5, 19, 23, 48, 47), 'start_time': datetime.datetime(2010, 7, 4, 20, 2, 58), 'rate': 4, 'updated_at': datetime.datetime(2012, 3, 19, 14, 4, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Argentina', 'special_note': 'thanks'}
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{'_id': '423f9da4-bdf0-46ef-a097-61bc7b490d30', 'job_description': 'Balanced client-driven workforce', 'start_date': datetime.datetime(2018, 7, 22, 23, 25, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 9, 6, 40, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 27, 10, 33, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf9dc0c0-fac5-4c85-881a-042e1060fd26', 'end_date': datetime.datetime(2011, 9, 18, 1, 48, 47), 'start_time': datetime.datetime(2012, 8, 3, 1, 36, 50), 'rate': 1, 'updated_at': datetime.datetime(2018, 12, 26, 8, 19, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
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{'_id': '82f55a4f-6994-47da-a377-62cfc6263b5a', 'job_description': 'Virtual reciprocal firmware', 'start_date': datetime.datetime(2011, 12, 11, 13, 30, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 19, 21, 54, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 8, 16, 40, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '52e57749-f3f2-4eec-ae5f-8f6a88b2c810', 'end_date': datetime.datetime(2017, 11, 2, 16, 28, 28), 'start_time': datetime.datetime(2014, 3, 26, 18, 4, 10), 'rate': 5, 'updated_at': datetime.datetime(2016, 11, 15, 10, 17, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
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{'_id': '2d47b640-7ebf-4c17-bf94-d351b65ea1c2', 'job_description': 'Future-proofed 6th generation success', 'start_date': datetime.datetime(2014, 4, 8, 22, 55, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 13, 23, 29, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 30, 7, 51, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3c4b3196-2287-450c-bb2a-7cdae5d7caaf', 'end_date': datetime.datetime(2013, 3, 13, 21, 10, 4), 'start_time': datetime.datetime(2018, 6, 29, 2, 38, 20), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 29, 12, 37, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
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{'_id': 'd0d63fa6-86e2-442d-be9e-8ca95152f40b', 'job_description': 'Horizontal solution-oriented installation', 'start_date': datetime.datetime(2017, 8, 16, 9, 25, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 6, 18, 6, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 7, 15, 59, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6db10827-ce0e-4fda-8b0d-f4d8def71c40', 'end_date': datetime.datetime(2013, 12, 16, 0, 32, 31), 'start_time': datetime.datetime(2014, 9, 25, 8, 6, 45), 'rate': 1, 'updated_at': datetime.datetime(2013, 4, 30, 11, 50, 46), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
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{'_id': '65e5bc4d-2285-488f-bea0-538c742c1dd5', 'job_description': 'Fully-configurable cohesive definition', 'start_date': datetime.datetime(2018, 5, 6, 23, 28, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 8, 15, 42, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 19, 9, 14, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'abfaf563-fbad-4614-8412-15037c2f18d3', 'end_date': datetime.datetime(2016, 5, 29, 3, 58, 30), 'start_time': datetime.datetime(2017, 1, 21, 21, 16, 14), 'rate': 2, 'updated_at': datetime.datetime(2014, 1, 20, 21, 15, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
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{'_id': 'b9c31152-2681-490a-b1e9-9e0abe3c5b18', 'job_description': 'Business-focused real-time local area network', 'start_date': datetime.datetime(2011, 9, 24, 18, 28, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 1, 4, 49, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 27, 23, 28, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f24d5522-fb6e-4746-b4ea-94330ccc1278', 'end_date': datetime.datetime(2019, 6, 8, 2, 29, 47), 'start_time': datetime.datetime(2017, 8, 2, 13, 43, 19), 'rate': 2, 'updated_at': datetime.datetime(2018, 7, 15, 9, 26, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '72f7bc0e-2c5b-47c7-bcf3-259b809cb800', 'job_description': 'Fundamental grid-enabled internet solution', 'start_date': datetime.datetime(2019, 10, 4, 7, 54, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 9, 14, 41, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 22, 23, 5, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e2234834-67ae-4c47-b535-fff7eb553777', 'end_date': datetime.datetime(2013, 8, 30, 5, 50, 59), 'start_time': datetime.datetime(2010, 6, 18, 4, 44, 44), 'rate': 3, 'updated_at': datetime.datetime(2019, 1, 11, 15, 33, 34), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
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{'_id': 'c083404b-8a1c-4e7c-baf0-b0f164412107', 'job_description': 'Down-sized 3rd generation artificial intelligence', 'start_date': datetime.datetime(2013, 8, 10, 16, 0, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 8, 4, 28, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 22, 11, 36, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '819587db-7b3f-4c47-8c51-dc92a1a1e52b', 'end_date': datetime.datetime(2012, 8, 29, 5, 31, 32), 'start_time': datetime.datetime(2013, 2, 18, 6, 41, 34), 'rate': 4, 'updated_at': datetime.datetime(2013, 9, 22, 4, 5, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Cyprus', 'special_note': 'thanks'}
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{'_id': '95f63be5-56a8-4be1-85b4-518602500091', 'job_description': 'Multi-layered clear-thinking array', 'start_date': datetime.datetime(2013, 8, 10, 18, 56, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 20, 11, 16, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 21, 7, 34, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '11ea58ed-2dee-43af-b3f0-87fd209b3c14', 'end_date': datetime.datetime(2011, 7, 5, 15, 1, 20), 'start_time': datetime.datetime(2018, 4, 6, 8, 24, 10), 'rate': 5, 'updated_at': datetime.datetime(2013, 6, 29, 3, 49, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': '05e82659-608f-4273-8126-9fc30d132e4b', 'job_description': 'Virtual tangible alliance', 'start_date': datetime.datetime(2017, 6, 16, 2, 22, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 26, 16, 52, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 25, 14, 34, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '66419dab-858f-4feb-85ef-16a7e4c4529a', 'end_date': datetime.datetime(2017, 6, 2, 13, 50, 25), 'start_time': datetime.datetime(2015, 4, 3, 13, 55, 7), 'rate': 4, 'updated_at': datetime.datetime(2010, 2, 13, 13, 0, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
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{'_id': '55832fbe-14d0-42a5-b678-2c94c44543fb', 'job_description': 'Digitized multi-tasking functionalities', 'start_date': datetime.datetime(2017, 2, 7, 6, 49, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 18, 9, 37, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 27, 13, 3, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '86f11ee2-9488-4998-a32f-9472e763d2fc', 'end_date': datetime.datetime(2012, 2, 20, 21, 34, 1), 'start_time': datetime.datetime(2013, 1, 11, 15, 48, 36), 'rate': 3, 'updated_at': datetime.datetime(2017, 10, 29, 12, 30, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
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{'_id': '12b31caa-75b2-4fed-b09d-bb4d8ee57802', 'job_description': 'Ameliorated executive capacity', 'start_date': datetime.datetime(2012, 4, 13, 14, 23, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 5, 13, 48, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 20, 3, 49, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '171e6219-d90e-4926-98e5-c641a0ea163b', 'end_date': datetime.datetime(2015, 7, 23, 11, 10, 54), 'start_time': datetime.datetime(2011, 1, 17, 21, 22, 31), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 5, 4, 23, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
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{'_id': '02716476-14dc-45c7-9920-1b8386976219', 'job_description': 'Secured interactive monitoring', 'start_date': datetime.datetime(2015, 12, 7, 9, 8, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 4, 0, 12, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 18, 19, 5, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '43bed920-9ef4-4005-a434-063fc7c81474', 'end_date': datetime.datetime(2016, 7, 3, 18, 21, 57), 'start_time': datetime.datetime(2014, 1, 5, 14, 47, 16), 'rate': 2, 'updated_at': datetime.datetime(2012, 10, 19, 12, 53, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '74297acd-9bc7-412c-9338-146a3903f2c5', 'job_description': 'Universal 5th generation policy', 'start_date': datetime.datetime(2019, 6, 27, 13, 1, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 10, 19, 32, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 13, 12, 27, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5665457a-fa63-47f4-9163-c5ac142725ee', 'end_date': datetime.datetime(2019, 9, 28, 3, 19, 21), 'start_time': datetime.datetime(2014, 3, 18, 13, 10, 34), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 30, 13, 38, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1c2a473c-fd35-4f36-837d-2de61a2fa8c0', 'job_description': 'Synergized bottom-line monitoring', 'start_date': datetime.datetime(2019, 10, 7, 10, 33, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 18, 22, 14, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 24, 5, 16, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '18255aed-9673-4bf5-b050-38820b15e85f', 'end_date': datetime.datetime(2017, 11, 10, 20, 36, 21), 'start_time': datetime.datetime(2019, 2, 10, 0, 47, 59), 'rate': 4, 'updated_at': datetime.datetime(2013, 8, 6, 10, 58, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b196a0a8-ea67-434b-8893-0a5812c7f33a', 'job_description': 'Innovative system-worthy challenge', 'start_date': datetime.datetime(2019, 10, 23, 20, 44, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 18, 21, 52, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 24, 19, 6, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '75d1ff2c-252e-4f68-9459-b4e87d860df3', 'end_date': datetime.datetime(2019, 4, 20, 20, 7, 25), 'start_time': datetime.datetime(2019, 2, 17, 12, 28, 3), 'rate': 5, 'updated_at': datetime.datetime(2018, 12, 30, 10, 46, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4cef4fc4-7e9a-41a8-9763-656672af09e0', 'job_description': 'Proactive next generation array', 'start_date': datetime.datetime(2010, 6, 15, 14, 42, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 18, 22, 4, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 2, 2, 55, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b918d7af-7cd6-41cb-a7ee-2f91bca7791d', 'end_date': datetime.datetime(2019, 7, 13, 7, 9, 3), 'start_time': datetime.datetime(2014, 4, 12, 3, 6, 1), 'rate': 1, 'updated_at': datetime.datetime(2014, 12, 8, 9, 58, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '42687fa4-e970-42b1-b3d9-f7278cd5ac5a', 'job_description': 'Reverse-engineered directional Graphic Interface', 'start_date': datetime.datetime(2016, 2, 10, 15, 21, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 27, 3, 25, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 14, 18, 59, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1502af87-4aa0-484e-9bbe-962350636ea8', 'end_date': datetime.datetime(2014, 5, 23, 17, 12, 7), 'start_time': datetime.datetime(2010, 7, 6, 10, 1, 58), 'rate': 3, 'updated_at': datetime.datetime(2010, 7, 18, 10, 39, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'db482982-e78a-416c-82e8-5cd42353930f', 'job_description': 'Triple-buffered impactful leverage', 'start_date': datetime.datetime(2016, 6, 5, 4, 58, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 30, 12, 17, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 30, 19, 29, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8b6008e5-18ae-4717-858f-020c282652a8', 'end_date': datetime.datetime(2017, 1, 13, 4, 23, 38), 'start_time': datetime.datetime(2013, 4, 24, 10, 38, 41), 'rate': 4, 'updated_at': datetime.datetime(2015, 4, 13, 12, 14, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd09fec52-6ad0-40e4-8cfc-79a3e630b481', 'job_description': 'Customizable bifurcated approach', 'start_date': datetime.datetime(2018, 5, 1, 22, 41, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 25, 15, 11, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 18, 13, 53, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5f8e718e-bfe9-47b6-ae93-10260de4688e', 'end_date': datetime.datetime(2016, 4, 12, 6, 4, 15), 'start_time': datetime.datetime(2016, 2, 14, 9, 27, 50), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 23, 8, 43, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78bc190e-ca4a-4790-8150-1790589a62bc', 'job_description': 'Switchable bi-directional help-desk', 'start_date': datetime.datetime(2018, 1, 17, 15, 59, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 8, 21, 33, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 20, 20, 3, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57ab60a8-9837-4c82-9399-8edefc7d909e', 'end_date': datetime.datetime(2016, 10, 22, 13, 2, 38), 'start_time': datetime.datetime(2013, 3, 11, 22, 59, 2), 'rate': 3, 'updated_at': datetime.datetime(2011, 4, 13, 18, 17, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd8c75d1b-1253-4c74-a3d3-acfdb4428380', 'job_description': 'Face to face global firmware', 'start_date': datetime.datetime(2019, 6, 4, 20, 52, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 1, 19, 28, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 29, 16, 9, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9e72c685-27ba-4a01-ba68-2bdaf98da7ba', 'end_date': datetime.datetime(2019, 9, 23, 21, 47, 55), 'start_time': datetime.datetime(2010, 7, 4, 19, 42, 21), 'rate': 4, 'updated_at': datetime.datetime(2016, 7, 20, 7, 40, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ff1c79c4-567e-4eb3-a988-b59b9bf853bf', 'job_description': 'Open-architected value-added focus group', 'start_date': datetime.datetime(2015, 1, 21, 6, 28, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 12, 14, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 25, 15, 56, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c659fa0d-5f30-4ffe-af5d-f210b699dd1b', 'end_date': datetime.datetime(2012, 5, 21, 10, 29, 11), 'start_time': datetime.datetime(2011, 2, 25, 20, 25, 42), 'rate': 1, 'updated_at': datetime.datetime(2013, 2, 4, 9, 31, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7f82e8eb-5077-4bf0-ad9f-76825fe4b7f5', 'job_description': 'Synergistic global product', 'start_date': datetime.datetime(2019, 2, 1, 3, 3, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 16, 19, 49, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 5, 16, 36, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd4d3c30d-0fbb-416b-9a76-adfea1db9b0d', 'end_date': datetime.datetime(2017, 4, 17, 23, 42, 12), 'start_time': datetime.datetime(2018, 1, 7, 2, 10, 20), 'rate': 1, 'updated_at': datetime.datetime(2018, 3, 21, 6, 4, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fef8de64-25bc-49bb-9d89-7dbb87493ae3', 'job_description': 'Persistent 4th generation challenge', 'start_date': datetime.datetime(2018, 11, 11, 3, 57, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 22, 15, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 13, 3, 36, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a84daed7-61c5-44ff-88ff-703bfc72ff9b', 'end_date': datetime.datetime(2018, 5, 22, 15, 18, 6), 'start_time': datetime.datetime(2013, 9, 16, 12, 33, 27), 'rate': 1, 'updated_at': datetime.datetime(2019, 6, 4, 3, 51, 53), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5e43b404-d0e1-408b-ba6d-8152d97012b7', 'job_description': 'Re-contextualized well-modulated Graphical User Interface', 'start_date': datetime.datetime(2018, 7, 23, 13, 54, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 15, 0, 3, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 12, 17, 28, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5fd7ff31-4e3d-492c-8656-544a64bc8435', 'end_date': datetime.datetime(2019, 7, 17, 21, 50, 34), 'start_time': datetime.datetime(2019, 9, 1, 21, 50, 3), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 10, 12, 7, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e349fc0-b06e-43fb-8ebb-9f06e4bc1e80', 'job_description': 'Multi-channelled responsive open architecture', 'start_date': datetime.datetime(2013, 1, 17, 1, 34, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 23, 4, 12, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 16, 19, 11, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8c2e46c5-3af5-4cbc-ada5-9a77122a251a', 'end_date': datetime.datetime(2011, 5, 19, 21, 0, 49), 'start_time': datetime.datetime(2019, 1, 13, 14, 45, 31), 'rate': 5, 'updated_at': datetime.datetime(2014, 10, 19, 17, 46, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a4957449-3002-47b6-b8f6-e75276178c59', 'job_description': 'Upgradable solution-oriented ability', 'start_date': datetime.datetime(2013, 11, 16, 12, 0, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 26, 12, 3, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 4, 5, 40, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '009aefea-294e-43fa-9244-c0ed28bf0769', 'end_date': datetime.datetime(2014, 9, 26, 7, 40, 8), 'start_time': datetime.datetime(2013, 1, 6, 14, 49, 22), 'rate': 5, 'updated_at': datetime.datetime(2011, 1, 2, 3, 52, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Grenada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a44c80ad-bfb9-4592-8b8f-aaa1468bc419', 'job_description': 'Seamless encompassing matrices', 'start_date': datetime.datetime(2017, 2, 8, 8, 24, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 30, 4, 33, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 19, 4, 5, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ad891e2c-acd6-4c1c-a5ab-4a437e8ed254', 'end_date': datetime.datetime(2013, 12, 15, 7, 15, 47), 'start_time': datetime.datetime(2015, 9, 23, 7, 19, 2), 'rate': 2, 'updated_at': datetime.datetime(2012, 9, 25, 18, 46, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0c43c0e9-dadd-4eaa-8242-fbe09c0b47ca', 'job_description': 'Focused context-sensitive attitude', 'start_date': datetime.datetime(2011, 2, 12, 17, 40, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 9, 9, 3, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 1, 10, 14, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '64ecff43-d244-419b-8ae6-cee399fefbad', 'end_date': datetime.datetime(2014, 4, 4, 5, 5, 47), 'start_time': datetime.datetime(2014, 10, 9, 17, 26, 24), 'rate': 5, 'updated_at': datetime.datetime(2015, 2, 9, 6, 34, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7e6abc46-d436-42c4-af3f-b07c39a65f55', 'job_description': 'Universal regional firmware', 'start_date': datetime.datetime(2015, 8, 23, 14, 58, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 22, 1, 13, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 4, 11, 15, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e42b8ed7-5ea2-4d7a-8804-61dbbf81b0af', 'end_date': datetime.datetime(2015, 10, 19, 22, 18, 11), 'start_time': datetime.datetime(2016, 1, 31, 13, 24, 42), 'rate': 5, 'updated_at': datetime.datetime(2014, 6, 24, 2, 11, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Bangladesh', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '42b4adab-75d5-4dfd-8705-00be933305ed', 'job_description': 'Expanded optimizing help-desk', 'start_date': datetime.datetime(2019, 4, 12, 3, 8, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 3, 23, 0, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 27, 21, 52, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1ab976e9-2907-455b-944b-e2bb6e649bc7', 'end_date': datetime.datetime(2019, 1, 14, 19, 18, 40), 'start_time': datetime.datetime(2012, 9, 24, 19, 43, 25), 'rate': 2, 'updated_at': datetime.datetime(2016, 5, 10, 4, 44, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '45c90192-bee9-43f3-a8f2-23ddbc2c8a87', 'job_description': 'Down-sized assymetric matrices', 'start_date': datetime.datetime(2011, 9, 21, 8, 43, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 23, 1, 54, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 26, 16, 14, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '607f7889-53d2-4d3c-a77a-71170b8448ac', 'end_date': datetime.datetime(2012, 3, 6, 2, 52, 13), 'start_time': datetime.datetime(2013, 9, 25, 3, 52, 27), 'rate': 3, 'updated_at': datetime.datetime(2011, 10, 23, 0, 59, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '418f7e90-18be-43d2-be17-28b3e63cd47c', 'job_description': 'Cross-group intermediate application', 'start_date': datetime.datetime(2011, 1, 16, 19, 53, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 1, 23, 44, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 23, 7, 8, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a093de63-ebf8-438a-ab49-7100c0a0d0e2', 'end_date': datetime.datetime(2011, 4, 8, 8, 38, 34), 'start_time': datetime.datetime(2012, 11, 26, 5, 49, 9), 'rate': 4, 'updated_at': datetime.datetime(2019, 10, 14, 18, 38, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a6b8d218-ad5d-4d76-9246-656a752beafe', 'job_description': 'Optimized optimizing software', 'start_date': datetime.datetime(2010, 4, 29, 10, 7, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 3, 0, 4, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 17, 5, 49, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '040d74a3-2e63-4b50-9e2e-4b59f43181fb', 'end_date': datetime.datetime(2015, 12, 2, 14, 16, 9), 'start_time': datetime.datetime(2014, 2, 17, 18, 10, 52), 'rate': 3, 'updated_at': datetime.datetime(2010, 12, 10, 13, 17, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cefe66dd-e1a2-4434-a35c-9b2016efe993', 'job_description': 'Synergistic needs-based solution', 'start_date': datetime.datetime(2017, 3, 8, 21, 2, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 2, 7, 20, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 27, 1, 29, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d8cf312-726a-400e-ab93-24c08c97eb71', 'end_date': datetime.datetime(2017, 10, 1, 22, 33, 33), 'start_time': datetime.datetime(2010, 10, 26, 11, 37, 49), 'rate': 2, 'updated_at': datetime.datetime(2015, 1, 3, 2, 39, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5ff7e0a-dce3-4ae9-ae49-f64438dfe4df', 'job_description': 'Front-line dedicated orchestration', 'start_date': datetime.datetime(2012, 1, 20, 0, 45, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 29, 5, 37, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 3, 14, 33, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '956ea333-d290-4590-86ca-49cd4e1af7f9', 'end_date': datetime.datetime(2015, 3, 5, 17, 45, 35), 'start_time': datetime.datetime(2012, 10, 12, 5, 22, 36), 'rate': 1, 'updated_at': datetime.datetime(2015, 4, 16, 3, 6, 50), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de8df6da-fb6c-4b03-bb74-4537b8d2e533', 'job_description': 'Multi-lateral 5th generation Graphical User Interface', 'start_date': datetime.datetime(2014, 7, 3, 3, 14, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 21, 8, 14, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 19, 5, 18, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1ebd27aa-ed06-4f23-b184-374603c770a3', 'end_date': datetime.datetime(2017, 12, 11, 13, 50, 3), 'start_time': datetime.datetime(2018, 10, 15, 0, 59, 45), 'rate': 2, 'updated_at': datetime.datetime(2011, 8, 31, 16, 21, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f49dd615-4852-430f-bd08-8d60bf26314a', 'job_description': 'Team-oriented impactful methodology', 'start_date': datetime.datetime(2018, 10, 11, 7, 28, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 24, 10, 46, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 16, 1, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8850b9fa-0eea-41b9-b7dd-0c0f751a6f98', 'end_date': datetime.datetime(2012, 1, 15, 12, 5, 6), 'start_time': datetime.datetime(2012, 1, 17, 3, 49, 44), 'rate': 5, 'updated_at': datetime.datetime(2017, 1, 11, 3, 28, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Anguilla', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a47bbe56-3000-4730-9714-5466dfcacf9e', 'job_description': 'Mandatory bottom-line superstructure', 'start_date': datetime.datetime(2014, 9, 2, 22, 5, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 17, 7, 29, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 21, 22, 57, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c822851-c105-46f0-a93a-dfe04028dbc8', 'end_date': datetime.datetime(2013, 10, 2, 14, 52, 50), 'start_time': datetime.datetime(2017, 7, 8, 6, 1, 17), 'rate': 2, 'updated_at': datetime.datetime(2016, 5, 29, 5, 5, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '20556e84-d6fe-4d08-a54d-6bbb59f1d82d', 'job_description': 'Function-based dedicated projection', 'start_date': datetime.datetime(2017, 3, 19, 3, 57, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 3, 20, 1, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 13, 6, 34, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f253a18-8a51-46cb-be8d-6181e676983d', 'end_date': datetime.datetime(2012, 1, 19, 3, 7, 26), 'start_time': datetime.datetime(2013, 5, 22, 21, 8, 8), 'rate': 2, 'updated_at': datetime.datetime(2015, 11, 28, 6, 6, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Kenya', 'special_note': 'thanks'}
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{'_id': '9116aabf-6b5a-401a-ab4b-ae73a71a7626', 'job_description': 'Up-sized object-oriented benchmark', 'start_date': datetime.datetime(2012, 12, 17, 22, 26, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 9, 12, 26, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 10, 3, 5, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83f27176-da28-4f06-acb1-aeca42dff4f3', 'end_date': datetime.datetime(2012, 8, 11, 9, 4, 41), 'start_time': datetime.datetime(2012, 2, 17, 3, 46, 47), 'rate': 1, 'updated_at': datetime.datetime(2013, 2, 16, 22, 44, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
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{'_id': 'face677f-667d-4ad9-96d8-5393cb045756', 'job_description': 'Persevering clear-thinking database', 'start_date': datetime.datetime(2012, 3, 28, 18, 9, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 1, 21, 48, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 17, 8, 14, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bd28322f-55c2-412c-ae44-03cebfa797d0', 'end_date': datetime.datetime(2018, 9, 28, 23, 50, 47), 'start_time': datetime.datetime(2011, 12, 16, 3, 5, 4), 'rate': 2, 'updated_at': datetime.datetime(2014, 2, 10, 15, 3, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': 'cef78505-f7b6-43e1-8d78-fb6bd2cd5a11', 'job_description': 'Total directional infrastructure', 'start_date': datetime.datetime(2013, 7, 9, 11, 39, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 4, 18, 19, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 2, 15, 29, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5571a86b-21a7-4397-82ca-986b37e50677', 'end_date': datetime.datetime(2012, 5, 31, 12, 12, 43), 'start_time': datetime.datetime(2011, 10, 28, 6, 25, 54), 'rate': 2, 'updated_at': datetime.datetime(2016, 12, 16, 21, 56, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f224903b-e3d7-412d-87d9-644789439fd8', 'job_description': 'Proactive fault-tolerant core', 'start_date': datetime.datetime(2019, 5, 19, 7, 16, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 2, 6, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 26, 9, 44, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '509d53b8-c60a-4231-890a-874136d7043a', 'end_date': datetime.datetime(2013, 12, 26, 4, 15, 29), 'start_time': datetime.datetime(2013, 3, 27, 17, 17, 25), 'rate': 1, 'updated_at': datetime.datetime(2018, 4, 21, 23, 39, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': '61a7c53f-fbba-440d-8ee2-10efac58cc02', 'job_description': 'Cross-group transitional standardization', 'start_date': datetime.datetime(2016, 3, 19, 6, 53, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 12, 23, 48, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 19, 15, 30, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'be638f05-d8ea-41e1-b261-7fe26925b84c', 'end_date': datetime.datetime(2017, 3, 4, 1, 23, 42), 'start_time': datetime.datetime(2013, 11, 16, 6, 46, 2), 'rate': 4, 'updated_at': datetime.datetime(2016, 6, 9, 16, 17, 40), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
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{'_id': '40d71ca9-78cb-46de-b794-6f7f33d5170b', 'job_description': 'Balanced holistic system engine', 'start_date': datetime.datetime(2018, 6, 23, 21, 4, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 9, 17, 17, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 28, 0, 2, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4387a8f7-a5d2-4870-bcff-94734e52b1b3', 'end_date': datetime.datetime(2013, 1, 17, 11, 26, 12), 'start_time': datetime.datetime(2017, 7, 9, 22, 16, 19), 'rate': 5, 'updated_at': datetime.datetime(2015, 10, 1, 16, 9, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Iraq', 'special_note': 'thanks'}
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{'_id': '251b12dc-7b3c-4ce1-b628-9afda75a2f05', 'job_description': 'Progressive local process improvement', 'start_date': datetime.datetime(2018, 2, 13, 0, 16, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 23, 23, 51, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 24, 22, 8, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a68f485f-a33f-4d94-b02b-75ab54b08631', 'end_date': datetime.datetime(2014, 1, 15, 15, 5, 32), 'start_time': datetime.datetime(2017, 4, 23, 12, 19, 2), 'rate': 1, 'updated_at': datetime.datetime(2016, 3, 6, 12, 46, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
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{'_id': 'c5b67c0b-5ab8-4d78-be4f-e58cb220086a', 'job_description': 'Multi-lateral client-server project', 'start_date': datetime.datetime(2016, 6, 3, 19, 15, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 10, 19, 29, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 5, 3, 9, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57f2369d-b72d-4c6d-b872-e65841cdca9a', 'end_date': datetime.datetime(2019, 5, 14, 11, 41, 30), 'start_time': datetime.datetime(2011, 2, 15, 4, 52, 32), 'rate': 2, 'updated_at': datetime.datetime(2018, 8, 23, 3, 46, 54), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bf7d3bde-14a8-495e-abdc-e09982114165', 'job_description': 'Optimized systematic process improvement', 'start_date': datetime.datetime(2017, 10, 21, 4, 49, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 30, 13, 38, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 18, 15, 10, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a6e5a412-7096-4e81-986a-fff081a7cc44', 'end_date': datetime.datetime(2011, 12, 26, 14, 28, 19), 'start_time': datetime.datetime(2018, 4, 5, 5, 37, 22), 'rate': 2, 'updated_at': datetime.datetime(2018, 4, 1, 0, 2, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Finland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35b58953-88ba-4956-80cf-b83b4af7b33d', 'job_description': 'Organic local monitoring', 'start_date': datetime.datetime(2017, 5, 30, 3, 42, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 31, 11, 44, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 22, 16, 24, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '50b8755b-f834-421d-b7ea-eaaafd3bb6e2', 'end_date': datetime.datetime(2018, 11, 27, 19, 10, 36), 'start_time': datetime.datetime(2013, 8, 24, 5, 10, 39), 'rate': 3, 'updated_at': datetime.datetime(2016, 7, 10, 8, 32, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd47ad0b4-f776-4b93-aa28-204696287698', 'job_description': 'Implemented reciprocal methodology', 'start_date': datetime.datetime(2016, 8, 26, 15, 32, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 1, 1, 18, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 24, 2, 25, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '467b1206-6773-4bee-8b41-5b35c9f79979', 'end_date': datetime.datetime(2010, 5, 17, 10, 41, 55), 'start_time': datetime.datetime(2010, 1, 31, 5, 44, 22), 'rate': 4, 'updated_at': datetime.datetime(2010, 10, 22, 4, 19, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1e6e86b1-b8cc-4bcd-80bd-47c3ecaafb3d', 'job_description': 'Managed explicit website', 'start_date': datetime.datetime(2015, 2, 25, 9, 40, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 12, 16, 13, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 24, 12, 32, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f8041962-18b1-43ef-9b63-a2dda621d0a5', 'end_date': datetime.datetime(2015, 10, 23, 19, 57, 58), 'start_time': datetime.datetime(2018, 3, 8, 12, 23, 11), 'rate': 4, 'updated_at': datetime.datetime(2012, 8, 19, 18, 19, 30), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '681eb7ae-be29-48c3-bbca-f8736f2da36c', 'job_description': 'Virtual systemic utilisation', 'start_date': datetime.datetime(2017, 2, 28, 23, 55, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 12, 6, 14, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 18, 13, 31, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dd64155e-003b-4054-9c5a-8f7525a47286', 'end_date': datetime.datetime(2016, 5, 21, 11, 48, 48), 'start_time': datetime.datetime(2017, 10, 13, 0, 35, 32), 'rate': 2, 'updated_at': datetime.datetime(2017, 4, 14, 7, 18, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd682a085-562e-402a-9d27-22c33fd4e995', 'job_description': 'Switchable mission-critical architecture', 'start_date': datetime.datetime(2012, 4, 10, 20, 26, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 9, 0, 38, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 21, 11, 58, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '21b58bbd-85ec-4c13-816c-e28de2da7bb4', 'end_date': datetime.datetime(2019, 5, 15, 8, 3, 43), 'start_time': datetime.datetime(2010, 12, 4, 13, 28, 23), 'rate': 5, 'updated_at': datetime.datetime(2017, 8, 15, 17, 35, 43), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c258e84-2216-4dbc-a555-73ec695a8e31', 'job_description': 'Automated eco-centric secured line', 'start_date': datetime.datetime(2013, 2, 4, 9, 2, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 25, 12, 34, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 19, 2, 31, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bf3ed333-7009-4e2c-8ec6-a78b6a76d36e', 'end_date': datetime.datetime(2018, 10, 27, 7, 41, 54), 'start_time': datetime.datetime(2018, 6, 25, 5, 29, 14), 'rate': 5, 'updated_at': datetime.datetime(2015, 10, 10, 17, 4, 41), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7e3b9ca6-6d14-41be-a951-f3892baac6d0', 'job_description': 'Open-source intermediate service-desk', 'start_date': datetime.datetime(2010, 1, 27, 1, 18, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 9, 11, 45, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 26, 9, 16, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b91c910d-fa6c-4a90-85b6-2912c7317098', 'end_date': datetime.datetime(2017, 11, 25, 20, 47, 33), 'start_time': datetime.datetime(2012, 1, 5, 13, 40, 39), 'rate': 1, 'updated_at': datetime.datetime(2015, 9, 18, 9, 9, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b37b53e4-8dc5-4c9e-bdb6-2cbc690b5bdb', 'job_description': 'Polarised 4th generation functionalities', 'start_date': datetime.datetime(2019, 1, 1, 2, 45, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 13, 1, 6, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 18, 14, 19, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e4e4fd51-a513-414d-a671-488695c6333c', 'end_date': datetime.datetime(2018, 11, 28, 14, 51, 11), 'start_time': datetime.datetime(2018, 7, 25, 1, 41, 22), 'rate': 1, 'updated_at': datetime.datetime(2010, 9, 2, 23, 32, 54), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5041ffc8-106d-4da5-b362-99195e3f6880', 'job_description': 'Grass-roots local time-frame', 'start_date': datetime.datetime(2014, 10, 27, 10, 0, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 6, 8, 23, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 21, 14, 7, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '19070279-74d1-4022-a527-33276e41f727', 'end_date': datetime.datetime(2014, 7, 29, 10, 1, 49), 'start_time': datetime.datetime(2013, 3, 25, 17, 36, 32), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 5, 9, 35, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a9325123-6e8d-4063-977d-28baf419d637', 'job_description': 'Distributed contextually-based architecture', 'start_date': datetime.datetime(2017, 2, 6, 10, 12, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 23, 5, 47, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 9, 8, 48, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3918fa8b-ef1e-46ff-adb0-4fbd484acfc6', 'end_date': datetime.datetime(2014, 8, 11, 15, 19, 35), 'start_time': datetime.datetime(2019, 11, 15, 1, 37, 3), 'rate': 2, 'updated_at': datetime.datetime(2019, 3, 13, 15, 3, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2b9c5196-03a8-45b5-88a5-275a78b25bda', 'job_description': 'Down-sized directional database', 'start_date': datetime.datetime(2015, 8, 25, 14, 11, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 30, 19, 32, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 14, 13, 26, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dac374c5-477b-4044-96f3-0c9743db668e', 'end_date': datetime.datetime(2011, 12, 19, 4, 50, 50), 'start_time': datetime.datetime(2016, 7, 22, 21, 28, 32), 'rate': 3, 'updated_at': datetime.datetime(2018, 9, 16, 1, 25, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Costa Rica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ddeaeaa2-b864-45ed-b163-e2b522980168', 'job_description': 'Synergistic optimizing intranet', 'start_date': datetime.datetime(2010, 11, 25, 14, 53, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 23, 5, 55, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 8, 14, 46, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '80f3b066-e53d-445d-9092-658e087ccdb9', 'end_date': datetime.datetime(2017, 9, 18, 9, 22, 34), 'start_time': datetime.datetime(2013, 2, 11, 12, 57, 5), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 22, 23, 14, 12), 'job_title': 'CoffeeMaker', 'service_id': 'United States Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8ff546b2-ab49-448d-ac92-26144585fb04', 'job_description': 'Seamless bandwidth-monitored function', 'start_date': datetime.datetime(2015, 3, 28, 23, 12, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 30, 9, 25, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 2, 23, 19, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '15f17ee7-e1ea-4665-87b9-3666aa819a27', 'end_date': datetime.datetime(2011, 1, 27, 3, 18, 42), 'start_time': datetime.datetime(2014, 3, 1, 4, 27, 1), 'rate': 3, 'updated_at': datetime.datetime(2015, 5, 3, 22, 45, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f31c81f6-bdb0-4f35-848d-5749f720d330', 'job_description': 'Integrated 5th generation local area network', 'start_date': datetime.datetime(2011, 4, 14, 0, 1, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 17, 22, 9, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 6, 8, 16, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e65e3ebb-9006-46f8-8d18-8670b741e199', 'end_date': datetime.datetime(2018, 2, 14, 20, 6, 33), 'start_time': datetime.datetime(2014, 12, 14, 19, 54, 26), 'rate': 2, 'updated_at': datetime.datetime(2019, 7, 9, 0, 6, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cb2d6d77-5c2c-4944-bc90-3ad3517d3953', 'job_description': 'Re-contextualized needs-based forecast', 'start_date': datetime.datetime(2018, 12, 2, 23, 54, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 31, 2, 16, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 13, 11, 32, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd4061bee-dc15-4ba5-88ae-c9d6b3f86279', 'end_date': datetime.datetime(2013, 1, 25, 14, 46, 22), 'start_time': datetime.datetime(2019, 4, 16, 22, 2, 29), 'rate': 5, 'updated_at': datetime.datetime(2011, 9, 25, 23, 15, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0fe32dc1-0be6-4bb1-bd1d-3a880a481b05', 'job_description': 'Monitored heuristic strategy', 'start_date': datetime.datetime(2019, 10, 13, 12, 25, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 22, 9, 14, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 16, 15, 36, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fd97aa3d-955f-4798-bb20-0ab17624ffc9', 'end_date': datetime.datetime(2011, 6, 18, 17, 45, 22), 'start_time': datetime.datetime(2012, 8, 23, 13, 44, 54), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 21, 14, 40, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5c8da6f6-38c7-4578-b43a-a24297375aa1', 'job_description': 'Team-oriented tangible matrices', 'start_date': datetime.datetime(2015, 2, 15, 22, 39, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 24, 9, 4, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 28, 2, 56, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5d91110f-c070-4d3f-97a6-f6e164da1a9b', 'end_date': datetime.datetime(2010, 8, 11, 20, 0, 1), 'start_time': datetime.datetime(2015, 6, 19, 18, 32, 24), 'rate': 4, 'updated_at': datetime.datetime(2018, 9, 24, 16, 20, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Equatorial Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a56e1ba4-3cf0-4bbd-8e17-5f512e7caea2', 'job_description': 'Reverse-engineered logistical knowledge base', 'start_date': datetime.datetime(2016, 8, 25, 11, 4, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 4, 6, 54, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 10, 12, 15, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '934e8cff-6fce-4e5b-b2d8-390c7d077ac7', 'end_date': datetime.datetime(2018, 8, 1, 4, 59, 39), 'start_time': datetime.datetime(2015, 1, 13, 1, 15), 'rate': 5, 'updated_at': datetime.datetime(2015, 6, 12, 19, 50, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ae20bdab-f469-484c-ae54-454e770a175d', 'job_description': 'Stand-alone attitude-oriented flexibility', 'start_date': datetime.datetime(2018, 11, 23, 1, 57, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 7, 2, 1, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 16, 16, 43, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6cd95bbf-4dc8-47e2-8566-77f05ef816f2', 'end_date': datetime.datetime(2010, 2, 7, 18, 27, 29), 'start_time': datetime.datetime(2019, 5, 20, 9, 36, 1), 'rate': 1, 'updated_at': datetime.datetime(2017, 12, 13, 19, 12, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '73b878f0-b119-4141-b17b-1918034ce054', 'job_description': 'Quality-focused non-volatile analyzer', 'start_date': datetime.datetime(2013, 12, 24, 19, 51, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 28, 6, 0, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 28, 13, 13, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b9119547-c0a6-49d0-a19f-132fc857affc', 'end_date': datetime.datetime(2018, 11, 18, 21, 10, 51), 'start_time': datetime.datetime(2017, 6, 4, 5, 48, 30), 'rate': 5, 'updated_at': datetime.datetime(2012, 4, 28, 20, 30, 29), 'job_title': 'CoffeeMaker', 'service_id': 'French Polynesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '48fab30d-8118-47fc-9ba0-05abb6fccc37', 'job_description': 'Digitized motivating middleware', 'start_date': datetime.datetime(2017, 11, 23, 22, 51, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 27, 14, 20, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 1, 16, 48, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '58d8df12-5b68-48bc-982a-75de0ba74f3f', 'end_date': datetime.datetime(2018, 7, 9, 13, 21, 29), 'start_time': datetime.datetime(2015, 1, 10, 4, 51, 50), 'rate': 2, 'updated_at': datetime.datetime(2017, 1, 7, 8, 43, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0dc1baae-6a5e-4b6f-aa49-52c39ab5a200', 'job_description': 'Synchronised 24 hour challenge', 'start_date': datetime.datetime(2016, 6, 3, 1, 49, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 16, 7, 23, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 28, 8, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '29ef279e-0df1-4cb8-b461-e84456626382', 'end_date': datetime.datetime(2011, 3, 31, 17, 17, 14), 'start_time': datetime.datetime(2014, 5, 23, 15, 17, 48), 'rate': 3, 'updated_at': datetime.datetime(2015, 2, 9, 0, 36, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '452255a0-ee37-4435-bc02-319209b47003', 'job_description': 'Programmable zero defect productivity', 'start_date': datetime.datetime(2018, 10, 5, 12, 14, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 20, 8, 14, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 9, 19, 14, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dadef48c-4b68-4bb9-8313-0c781cc07301', 'end_date': datetime.datetime(2012, 9, 4, 13, 7), 'start_time': datetime.datetime(2011, 7, 28, 12, 7, 50), 'rate': 5, 'updated_at': datetime.datetime(2017, 9, 19, 23, 0, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '68d86193-231d-4c02-ace2-5db3d3650259', 'job_description': 'Networked mobile data-warehouse', 'start_date': datetime.datetime(2011, 3, 17, 9, 23, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 15, 2, 24, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 30, 8, 42, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0a65e0b0-9d90-4d1b-bd27-c084ed4ead5b', 'end_date': datetime.datetime(2017, 8, 3, 18, 45, 2), 'start_time': datetime.datetime(2013, 4, 30, 9, 3, 25), 'rate': 2, 'updated_at': datetime.datetime(2017, 1, 12, 11, 2, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Macedonia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dbfd7593-c16c-491e-975a-30254570b0ea', 'job_description': 'De-engineered encompassing parallelism', 'start_date': datetime.datetime(2012, 12, 2, 9, 48, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 24, 5, 26, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 14, 23, 22, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c512a461-a08e-446f-b236-9b75c0a74393', 'end_date': datetime.datetime(2013, 2, 6, 16, 41, 59), 'start_time': datetime.datetime(2014, 5, 11, 19, 53, 56), 'rate': 3, 'updated_at': datetime.datetime(2016, 8, 29, 19, 34, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '05351766-0aa8-4869-b983-bea76e640530', 'job_description': 'Integrated upward-trending protocol', 'start_date': datetime.datetime(2010, 2, 13, 23, 10, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 12, 19, 40, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 13, 15, 29, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5a19cd94-d6ec-472f-8219-9c1686d81ae6', 'end_date': datetime.datetime(2019, 6, 27, 3, 10, 12), 'start_time': datetime.datetime(2015, 2, 6, 22, 5, 22), 'rate': 2, 'updated_at': datetime.datetime(2016, 11, 10, 15, 31, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c9a6ef92-dded-465d-82d5-607b893daa8e', 'job_description': 'Implemented foreground interface', 'start_date': datetime.datetime(2017, 7, 29, 16, 41, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 9, 10, 58, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 18, 1, 41, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e882cec-3abb-4403-b216-1018b20e9125', 'end_date': datetime.datetime(2019, 7, 4, 3, 55, 42), 'start_time': datetime.datetime(2012, 1, 10, 0, 29, 56), 'rate': 2, 'updated_at': datetime.datetime(2015, 4, 8, 19, 27, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e405934f-8237-4e20-84d1-78b61c53c8c9', 'job_description': 'Expanded directional circuit', 'start_date': datetime.datetime(2011, 1, 6, 5, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 6, 5, 45, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 10, 12, 23, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ead02a62-d54d-4e24-9df3-97da0f7a7ef0', 'end_date': datetime.datetime(2013, 11, 24, 15, 6, 23), 'start_time': datetime.datetime(2017, 7, 20, 13, 15, 15), 'rate': 4, 'updated_at': datetime.datetime(2010, 7, 16, 10, 49, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd31f1a30-b9ae-422f-86c5-bc1e82506db0', 'job_description': 'Horizontal optimizing architecture', 'start_date': datetime.datetime(2019, 8, 8, 0, 47, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 23, 1, 11, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 18, 1, 55, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3de09d65-d970-47b8-8fb2-d7be2d072176', 'end_date': datetime.datetime(2015, 1, 6, 5, 36, 6), 'start_time': datetime.datetime(2013, 7, 14, 7, 57, 56), 'rate': 2, 'updated_at': datetime.datetime(2011, 12, 13, 7, 13, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '18b47639-38f3-40bc-a3c8-812a7b1daedf', 'job_description': 'Implemented regional capability', 'start_date': datetime.datetime(2017, 10, 1, 23, 57, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 6, 16, 42, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 5, 11, 34, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'acaf1dc8-c619-48b0-b89c-64af09d675e0', 'end_date': datetime.datetime(2015, 7, 12, 23, 57, 46), 'start_time': datetime.datetime(2018, 1, 16, 5, 39, 24), 'rate': 5, 'updated_at': datetime.datetime(2015, 8, 7, 1, 9, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '440ed6c2-e419-4f2d-90bf-06fcb185550a', 'job_description': 'Switchable 6th generation synergy', 'start_date': datetime.datetime(2015, 8, 8, 9, 13, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 19, 7, 11, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 5, 17, 21, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '68cda6bb-9fcc-4d16-ba08-01e9600f9643', 'end_date': datetime.datetime(2010, 4, 20, 16, 31, 16), 'start_time': datetime.datetime(2014, 5, 13, 5, 46, 25), 'rate': 3, 'updated_at': datetime.datetime(2013, 5, 27, 16, 23, 19), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '45565823-abfc-46af-97be-5edfb8faad98', 'job_description': 'Face to face homogeneous project', 'start_date': datetime.datetime(2013, 3, 17, 19, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 23, 3, 24, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 1, 10, 27, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1ceb2466-6646-45e9-ae2f-32b99bb8951b', 'end_date': datetime.datetime(2018, 11, 11, 15, 20, 44), 'start_time': datetime.datetime(2014, 11, 2, 10, 50, 8), 'rate': 5, 'updated_at': datetime.datetime(2010, 2, 12, 16, 11, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3b97544d-6048-46d1-9829-d13b11a80133', 'job_description': 'Implemented intermediate array', 'start_date': datetime.datetime(2014, 11, 26, 15, 39, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 18, 13, 43, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 17, 0, 4, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '259fce2b-2b14-49db-aa9f-8c4baaa1e0ca', 'end_date': datetime.datetime(2015, 10, 2, 13, 18, 50), 'start_time': datetime.datetime(2013, 2, 18, 16, 43, 37), 'rate': 5, 'updated_at': datetime.datetime(2016, 11, 8, 13, 2, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a7cc9de5-ccbd-4d22-83ef-55e23ecc0181', 'job_description': 'Synergistic tangible leverage', 'start_date': datetime.datetime(2016, 5, 4, 10, 44, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 28, 4, 16, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 8, 8, 29, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9e9f10d0-7cc7-437a-b872-7770971a8ecd', 'end_date': datetime.datetime(2013, 6, 8, 0, 0, 37), 'start_time': datetime.datetime(2019, 4, 19, 7, 59, 41), 'rate': 1, 'updated_at': datetime.datetime(2013, 2, 11, 20, 21, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Sri Lanka', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a100c8e4-8e3d-4cbe-9823-e0ac6e4ef8fa', 'job_description': 'Customer-focused global pricing structure', 'start_date': datetime.datetime(2016, 11, 22, 10, 6, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 2, 22, 57, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 18, 3, 3, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9a821639-2bd9-48ea-9ef7-9d8d0ff422c4', 'end_date': datetime.datetime(2014, 6, 8, 18, 30, 24), 'start_time': datetime.datetime(2015, 5, 5, 12, 7, 41), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 6, 10, 58, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6461a76a-d2b6-4232-b014-7f742b6250eb', 'job_description': 'Realigned bifurcated collaboration', 'start_date': datetime.datetime(2014, 3, 25, 15, 50, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 23, 7, 54, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 12, 16, 1, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3fbee57f-7e17-4314-a548-f4900317848d', 'end_date': datetime.datetime(2017, 2, 2, 8, 36, 23), 'start_time': datetime.datetime(2018, 1, 10, 3, 20, 6), 'rate': 1, 'updated_at': datetime.datetime(2019, 8, 10, 17, 28, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '519e607d-ff76-445b-a796-c6b26a9d3389', 'job_description': 'Up-sized dynamic parallelism', 'start_date': datetime.datetime(2017, 4, 21, 15, 22, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 18, 21, 4, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 20, 2, 56, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dcd234b8-810d-45b3-8094-57e3bd31204f', 'end_date': datetime.datetime(2017, 4, 14, 8, 20, 53), 'start_time': datetime.datetime(2015, 11, 26, 6, 44, 12), 'rate': 3, 'updated_at': datetime.datetime(2012, 7, 28, 9, 0, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6dbd01e4-887f-4308-b8ad-508e049c08bd', 'job_description': 'Synergized even-keeled encoding', 'start_date': datetime.datetime(2018, 6, 29, 13, 51, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 28, 2, 40, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 19, 21, 46, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b97940dc-8230-4675-aec5-355a81ce45ba', 'end_date': datetime.datetime(2010, 1, 16, 0, 25, 58), 'start_time': datetime.datetime(2018, 1, 25, 16, 32, 58), 'rate': 3, 'updated_at': datetime.datetime(2017, 8, 20, 12, 32, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5a82d7a-7235-4551-8bac-0c6aba00fc77', 'job_description': 'Multi-lateral static monitoring', 'start_date': datetime.datetime(2013, 4, 27, 5, 58, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 21, 7, 51, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 11, 21, 32, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '66dcc98b-704b-48ae-bbe0-f0a4316df075', 'end_date': datetime.datetime(2010, 10, 30, 12, 19, 57), 'start_time': datetime.datetime(2019, 9, 10, 9, 59, 42), 'rate': 3, 'updated_at': datetime.datetime(2013, 2, 23, 12, 29, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dcffc811-cf4e-492f-ba3e-47dfeab0ee26', 'job_description': 'Stand-alone system-worthy algorithm', 'start_date': datetime.datetime(2013, 1, 18, 17, 44, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 18, 8, 34, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 15, 12, 59, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '752b7a36-76b1-4173-aa06-63fc5faba4cb', 'end_date': datetime.datetime(2018, 4, 4, 20, 42, 23), 'start_time': datetime.datetime(2017, 3, 2, 10, 23, 42), 'rate': 1, 'updated_at': datetime.datetime(2012, 11, 2, 18, 1, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7d911d41-759e-43af-ae2b-cc3feff24ecf', 'job_description': 'Programmable multi-tasking open architecture', 'start_date': datetime.datetime(2011, 11, 8, 1, 12, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 14, 14, 21, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 23, 17, 8, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '60be8134-8913-45a9-9aa2-8c953f13f17d', 'end_date': datetime.datetime(2016, 10, 1, 21, 7, 55), 'start_time': datetime.datetime(2016, 3, 13, 13, 54, 47), 'rate': 2, 'updated_at': datetime.datetime(2011, 2, 18, 20, 32, 41), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ea3e31cc-c202-495a-a40c-abd26c163e14', 'job_description': 'Organic background strategy', 'start_date': datetime.datetime(2015, 3, 14, 14, 0, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 12, 8, 25, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 19, 8, 22, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eef7053c-11fe-494f-b606-070210bf9e71', 'end_date': datetime.datetime(2010, 4, 23, 20, 19, 35), 'start_time': datetime.datetime(2018, 5, 4, 3, 49, 43), 'rate': 2, 'updated_at': datetime.datetime(2014, 9, 24, 17, 27, 39), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'df36ad61-3a82-4469-a053-26f93a7e4564', 'job_description': 'User-friendly bottom-line toolset', 'start_date': datetime.datetime(2011, 2, 4, 9, 50, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 8, 19, 44, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 5, 0, 20, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c2c87cb-3356-43b0-b265-262698cc9c48', 'end_date': datetime.datetime(2016, 6, 11, 23, 22, 18), 'start_time': datetime.datetime(2010, 2, 21, 8, 34, 10), 'rate': 3, 'updated_at': datetime.datetime(2011, 8, 2, 12, 25, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '93b902c8-6910-4f3b-9cba-67341d7826ab', 'job_description': 'Profound disintermediate encoding', 'start_date': datetime.datetime(2010, 7, 10, 22, 3, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 5, 18, 29, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 27, 5, 23, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ae113dbf-4e10-46a1-bacd-80cab59e6e76', 'end_date': datetime.datetime(2016, 6, 25, 5, 31, 40), 'start_time': datetime.datetime(2018, 7, 14, 13, 30, 2), 'rate': 2, 'updated_at': datetime.datetime(2018, 8, 25, 16, 36, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '77c1851f-ad7c-4f42-975a-a43c913c705f', 'job_description': 'Inverse human-resource productivity', 'start_date': datetime.datetime(2011, 11, 12, 13, 36, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 3, 15, 23, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 29, 13, 16, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8001d119-3f51-4ea1-bde3-1bad2c506907', 'end_date': datetime.datetime(2010, 8, 19, 6, 24, 17), 'start_time': datetime.datetime(2014, 7, 6, 17, 10, 56), 'rate': 2, 'updated_at': datetime.datetime(2016, 3, 21, 2, 19, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '9ec7fe90-cf75-478a-8ebd-e0f871851daa', 'job_description': 'Multi-tiered mobile policy', 'start_date': datetime.datetime(2012, 2, 18, 2, 51, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 23, 1, 24, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 19, 14, 40, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83c90ae6-8dd4-4da9-9fa4-049719140e27', 'end_date': datetime.datetime(2013, 10, 14, 18, 16, 28), 'start_time': datetime.datetime(2019, 4, 20, 13, 11, 53), 'rate': 5, 'updated_at': datetime.datetime(2010, 1, 23, 7, 3, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
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{'_id': 'efa327f1-5da4-4575-9bc8-fc00ca1d81ad', 'job_description': 'Customer-focused modular array', 'start_date': datetime.datetime(2015, 7, 21, 17, 53, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 16, 22, 6, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 31, 18, 13, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3fb40e56-b9b1-4985-91f7-72a24a350edf', 'end_date': datetime.datetime(2013, 4, 1, 1, 28, 24), 'start_time': datetime.datetime(2014, 1, 3, 22, 22, 36), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 5, 3, 39, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
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{'_id': '818b25d8-12b0-4c0a-b6bd-4bd4a9430acb', 'job_description': 'Digitized web-enabled solution', 'start_date': datetime.datetime(2013, 9, 10, 21, 56, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 15, 13, 34, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 13, 9, 1, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c50f39cb-3623-42e5-af9f-44c6ff2b337b', 'end_date': datetime.datetime(2016, 5, 23, 4, 32, 30), 'start_time': datetime.datetime(2017, 8, 25, 15, 19, 3), 'rate': 5, 'updated_at': datetime.datetime(2014, 10, 2, 15, 13, 9), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
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{'_id': '9d65fabd-b4e3-418d-bca5-8e3349c47484', 'job_description': 'Balanced tangible moderator', 'start_date': datetime.datetime(2011, 7, 24, 22, 45, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 6, 11, 20, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 14, 10, 40, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3fbf75c6-e80f-41c5-bb78-2fba4af059e9', 'end_date': datetime.datetime(2012, 1, 9, 15, 52, 42), 'start_time': datetime.datetime(2019, 6, 7, 3, 12, 21), 'rate': 5, 'updated_at': datetime.datetime(2010, 4, 21, 10, 39, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
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{'_id': '3ce1e019-5ff5-42d3-abe2-eb981035d74d', 'job_description': 'Grass-roots composite installation', 'start_date': datetime.datetime(2014, 11, 12, 1, 30, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 23, 10, 36, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 20, 7, 24, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f82ffc31-2d5e-4f6f-9ff3-807510840336', 'end_date': datetime.datetime(2017, 9, 5, 11, 54, 57), 'start_time': datetime.datetime(2015, 9, 24, 19, 8, 46), 'rate': 3, 'updated_at': datetime.datetime(2011, 7, 10, 12, 12, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '2386323d-44cd-4cd1-89af-33316c0e756f', 'job_description': 'Intuitive cohesive superstructure', 'start_date': datetime.datetime(2018, 3, 7, 8, 29, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 24, 5, 40, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 13, 19, 30, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9063e78a-71d1-4938-813e-d90c826b7e9d', 'end_date': datetime.datetime(2014, 10, 1, 14, 5, 44), 'start_time': datetime.datetime(2018, 7, 8, 7, 31, 10), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 17, 7, 24, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
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{'_id': 'e8f63744-a683-4ae7-b908-27826f0259b8', 'job_description': 'Synergistic clear-thinking neural-net', 'start_date': datetime.datetime(2015, 7, 14, 10, 48, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 29, 4, 0, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 30, 9, 46, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b3e0ac4-da47-4c98-adff-969fa2d59853', 'end_date': datetime.datetime(2010, 10, 25, 22, 28, 29), 'start_time': datetime.datetime(2010, 3, 30, 17, 3, 14), 'rate': 4, 'updated_at': datetime.datetime(2017, 4, 30, 2, 30, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
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{'_id': '17cdd908-41a0-47a6-8330-bf3a6b2e9447', 'job_description': 'Function-based web-enabled database', 'start_date': datetime.datetime(2011, 10, 18, 2, 50, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 15, 10, 19, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 27, 0, 21, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '63564b0b-91ab-4722-9d75-16c08dede944', 'end_date': datetime.datetime(2014, 8, 30, 23, 31, 48), 'start_time': datetime.datetime(2014, 8, 8, 13, 8, 45), 'rate': 2, 'updated_at': datetime.datetime(2010, 2, 28, 12, 24, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Trinidad and Tobago', 'special_note': 'thanks'}
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{'_id': '4cfa4628-aaba-4a53-aecd-25655202ba2b', 'job_description': 'Streamlined full-range alliance', 'start_date': datetime.datetime(2016, 3, 25, 21, 44, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 6, 0, 57, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 29, 2, 43, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a001ad73-d6cb-4f25-adfc-66c92bf2e1c0', 'end_date': datetime.datetime(2016, 7, 25, 23, 28, 43), 'start_time': datetime.datetime(2016, 8, 5, 23, 52, 30), 'rate': 2, 'updated_at': datetime.datetime(2018, 11, 30, 1, 30, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
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{'_id': 'afe90571-8104-412e-b1b8-444240f8f9f1', 'job_description': 'Seamless tertiary definition', 'start_date': datetime.datetime(2016, 5, 1, 21, 54, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 20, 18, 36, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 23, 15, 45, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd130af3e-f060-444c-b04c-d200c69eb909', 'end_date': datetime.datetime(2015, 5, 12, 1, 54, 57), 'start_time': datetime.datetime(2019, 3, 30, 10, 12, 34), 'rate': 5, 'updated_at': datetime.datetime(2018, 1, 28, 10, 43, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
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{'_id': '5de2f78e-51f1-42d2-8079-72a3e97d6121', 'job_description': 'Robust fault-tolerant data-warehouse', 'start_date': datetime.datetime(2014, 1, 25, 22, 38, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 11, 10, 32, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 8, 4, 2, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6f3ea6ed-5d38-4549-b0a3-13d1b434dc73', 'end_date': datetime.datetime(2013, 6, 17, 11, 26, 49), 'start_time': datetime.datetime(2018, 10, 7, 19, 37, 54), 'rate': 4, 'updated_at': datetime.datetime(2015, 11, 28, 5, 51, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Rwanda', 'special_note': 'thanks'}
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{'_id': 'aa8ac35a-1c40-4109-b1b3-114b123d5581', 'job_description': 'Object-based actuating info-mediaries', 'start_date': datetime.datetime(2014, 11, 3, 13, 44, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 27, 6, 55, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 15, 4, 42, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8f488a4a-0313-4b82-8e52-ca8986f3a4d1', 'end_date': datetime.datetime(2014, 1, 24, 16, 21, 19), 'start_time': datetime.datetime(2016, 3, 6, 21, 4, 18), 'rate': 4, 'updated_at': datetime.datetime(2016, 4, 5, 23, 55, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5f921de-d74b-407e-bd7f-59519b947955', 'job_description': 'Extended systematic Graphic Interface', 'start_date': datetime.datetime(2013, 11, 26, 16, 55, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 3, 11, 0, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 14, 11, 27, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4f4aa051-36d9-45f7-a081-78adaec5b6ce', 'end_date': datetime.datetime(2013, 9, 26, 18, 56, 58), 'start_time': datetime.datetime(2015, 3, 15, 13, 1, 55), 'rate': 1, 'updated_at': datetime.datetime(2017, 7, 19, 13, 27, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
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{'_id': 'fbf493c6-a8e4-472a-a486-580af5708936', 'job_description': 'Reactive background hardware', 'start_date': datetime.datetime(2015, 9, 22, 19, 24, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 9, 22, 18, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 25, 12, 47, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '13bff01c-e0ea-46c1-a3ef-f03004ed2e8f', 'end_date': datetime.datetime(2015, 5, 1, 15, 14, 58), 'start_time': datetime.datetime(2019, 8, 15, 0, 22, 24), 'rate': 5, 'updated_at': datetime.datetime(2013, 10, 21, 4, 2, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
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{'_id': '99d34667-304b-4879-b57f-1df89e8d389c', 'job_description': 'Fully-configurable transitional capacity', 'start_date': datetime.datetime(2015, 11, 17, 13, 21, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 7, 4, 27, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 11, 23, 32, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4a873e94-dca0-4289-96f1-27880723efca', 'end_date': datetime.datetime(2015, 7, 31, 23, 26, 32), 'start_time': datetime.datetime(2015, 8, 22, 20, 41, 18), 'rate': 2, 'updated_at': datetime.datetime(2017, 9, 23, 18, 52, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
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{'_id': 'f72184ea-65da-4125-877f-779cacb76438', 'job_description': 'Grass-roots systematic protocol', 'start_date': datetime.datetime(2018, 4, 10, 15, 23, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 8, 12, 27, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 4, 3, 19, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e0280506-23d6-40eb-839a-ff0c9463ebf2', 'end_date': datetime.datetime(2014, 1, 28, 1, 46, 22), 'start_time': datetime.datetime(2012, 4, 28, 15, 10, 54), 'rate': 2, 'updated_at': datetime.datetime(2013, 6, 9, 17, 11, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': '37e3d93d-a0ac-4887-9a5b-e2a2bd6770bb', 'job_description': 'Multi-layered stable circuit', 'start_date': datetime.datetime(2015, 2, 2, 9, 2, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 15, 11, 7, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 20, 10, 14, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '36e93528-f57a-41a8-82dd-330a5749bee0', 'end_date': datetime.datetime(2012, 1, 14, 0, 19, 16), 'start_time': datetime.datetime(2013, 7, 26, 17, 15, 11), 'rate': 1, 'updated_at': datetime.datetime(2014, 8, 21, 5, 43, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
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{'_id': '67fece92-4b6a-4430-a06c-3d0ee8c1a222', 'job_description': 'Horizontal 24/7 help-desk', 'start_date': datetime.datetime(2010, 2, 24, 6, 25, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 31, 22, 9, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 6, 2, 49, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b862a63d-dcf9-4871-b17f-0f2f2355dc3e', 'end_date': datetime.datetime(2016, 8, 16, 2, 37), 'start_time': datetime.datetime(2015, 6, 5, 12, 38, 18), 'rate': 4, 'updated_at': datetime.datetime(2014, 12, 17, 5, 32, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': '7a3e0cd1-037c-4054-897d-1b87366c6ab9', 'job_description': 'Innovative optimal moratorium', 'start_date': datetime.datetime(2018, 1, 12, 23, 35, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 9, 6, 54, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 19, 22, 46, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c6144c6-cf61-42bd-bad4-c8bec4a722b3', 'end_date': datetime.datetime(2011, 11, 5, 18, 20, 20), 'start_time': datetime.datetime(2016, 10, 15, 0, 36, 31), 'rate': 3, 'updated_at': datetime.datetime(2017, 12, 20, 4, 45, 18), 'job_title': 'CoffeeMaker', 'service_id': 'United States Minor Outlying Islands', 'special_note': 'thanks'}
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{'_id': 'aeb7b699-5705-49fe-a352-b287d6fffcf3', 'job_description': 'Universal multi-tasking database', 'start_date': datetime.datetime(2016, 11, 26, 4, 25, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 10, 3, 22, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 22, 21, 1, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e7c74ff6-70a1-43cf-af76-0876e02992ca', 'end_date': datetime.datetime(2016, 5, 28, 2, 22, 55), 'start_time': datetime.datetime(2018, 3, 13, 5, 35, 57), 'rate': 4, 'updated_at': datetime.datetime(2014, 6, 27, 21, 29, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b1754e5c-21ae-411e-9253-787e62853bc3', 'job_description': 'Team-oriented holistic customer loyalty', 'start_date': datetime.datetime(2017, 9, 29, 8, 46, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 9, 1, 3, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 24, 7, 38, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c9ac510c-355e-4059-93bc-c937ef7cde62', 'end_date': datetime.datetime(2014, 3, 26, 9, 27, 55), 'start_time': datetime.datetime(2010, 10, 16, 18, 46, 18), 'rate': 4, 'updated_at': datetime.datetime(2011, 8, 13, 20, 49, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Aruba', 'special_note': 'thanks'}
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{'_id': 'dddaa4cf-5ba4-4022-9cbf-2d65da4dcedc', 'job_description': 'Reactive real-time complexity', 'start_date': datetime.datetime(2019, 2, 27, 6, 16, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 22, 18, 11, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 26, 18, 15, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f7efedd-4512-49c3-8c21-b387f80ae3e6', 'end_date': datetime.datetime(2016, 11, 9, 1, 5, 43), 'start_time': datetime.datetime(2014, 9, 24, 0, 39, 22), 'rate': 1, 'updated_at': datetime.datetime(2013, 9, 19, 20, 34, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
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{'_id': 'aadc55c9-81fc-4149-b00b-759bd4d28a66', 'job_description': 'Centralized fault-tolerant hub', 'start_date': datetime.datetime(2012, 1, 21, 6, 30, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 13, 14, 58, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 4, 17, 36, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2348f798-db71-4983-91d8-8549aef92786', 'end_date': datetime.datetime(2013, 9, 1, 18, 28, 41), 'start_time': datetime.datetime(2018, 5, 19, 14, 9, 20), 'rate': 2, 'updated_at': datetime.datetime(2018, 1, 22, 19, 21, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
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{'_id': 'fa97208f-a807-4173-969b-1188b3238a89', 'job_description': 'Vision-oriented context-sensitive capability', 'start_date': datetime.datetime(2018, 12, 18, 13, 0, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 9, 8, 16, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 9, 15, 56, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bbcf74f8-b1e9-4e3a-b565-02f818142641', 'end_date': datetime.datetime(2012, 4, 30, 1, 44, 48), 'start_time': datetime.datetime(2018, 3, 8, 8, 20, 26), 'rate': 2, 'updated_at': datetime.datetime(2010, 12, 6, 3, 12, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '621fdd28-91e4-4778-9f13-2c73be15a060', 'job_description': 'Seamless 3rd generation circuit', 'start_date': datetime.datetime(2017, 6, 25, 10, 48, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 15, 8, 43, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 12, 12, 12, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f7486149-7e50-41ec-b05f-c6ffb91c70cc', 'end_date': datetime.datetime(2018, 2, 3, 8, 40, 13), 'start_time': datetime.datetime(2011, 2, 2, 17, 30, 46), 'rate': 3, 'updated_at': datetime.datetime(2014, 2, 18, 22, 49, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3b2e1b7f-3da0-40d8-a8d3-08997280cd64', 'job_description': 'Innovative explicit array', 'start_date': datetime.datetime(2011, 5, 30, 15, 28, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 9, 11, 15, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 28, 6, 13, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e4921ebd-5dcf-4d77-8c58-c6b89bff687d', 'end_date': datetime.datetime(2011, 2, 7, 19, 27, 35), 'start_time': datetime.datetime(2012, 8, 11, 10, 0, 47), 'rate': 5, 'updated_at': datetime.datetime(2014, 4, 3, 14, 59, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '004e4262-0eb3-4c3c-9276-c78d41ac7a8e', 'job_description': 'Secured zero tolerance installation', 'start_date': datetime.datetime(2018, 5, 28, 12, 1, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 26, 22, 50, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 4, 9, 21, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b51a4605-98e6-4313-b8ce-5fd1fd2dcd43', 'end_date': datetime.datetime(2013, 7, 4, 6, 44, 6), 'start_time': datetime.datetime(2016, 7, 11, 12, 42, 46), 'rate': 3, 'updated_at': datetime.datetime(2013, 6, 8, 0, 18, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': 'f8d6ed6e-2782-455b-a9b7-79f7c41ebb31', 'job_description': 'Synergized maximized attitude', 'start_date': datetime.datetime(2014, 12, 24, 16, 57, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 16, 21, 52, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 7, 20, 49, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf2629ec-67c9-4f61-8609-ad2526676687', 'end_date': datetime.datetime(2010, 11, 21, 10, 28, 34), 'start_time': datetime.datetime(2013, 6, 5, 17, 50, 2), 'rate': 2, 'updated_at': datetime.datetime(2010, 8, 29, 12, 29, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Ukraine', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1f57161d-3faf-45b5-84b3-909a272ff5cc', 'job_description': 'Expanded intangible knowledge user', 'start_date': datetime.datetime(2011, 10, 14, 18, 47, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 5, 19, 22, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 25, 13, 14, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c6b51ba0-52b9-48c8-9440-7fdd852a7125', 'end_date': datetime.datetime(2010, 5, 5, 2, 2, 41), 'start_time': datetime.datetime(2019, 5, 30, 2, 5, 52), 'rate': 3, 'updated_at': datetime.datetime(2016, 11, 23, 21, 59, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10322ed8-72f3-47f7-9f63-da811dd275ce', 'job_description': 'Adaptive grid-enabled moratorium', 'start_date': datetime.datetime(2013, 6, 15, 17, 7, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 9, 2, 15, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 19, 7, 32, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5a0eb584-859a-42d2-8a09-dd2516ea4e19', 'end_date': datetime.datetime(2013, 6, 30, 5, 14, 22), 'start_time': datetime.datetime(2019, 7, 13, 17, 53, 47), 'rate': 4, 'updated_at': datetime.datetime(2018, 9, 15, 15, 18, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7578a8f1-a0f5-4163-9e9e-02b9a67d6752', 'job_description': 'Integrated mobile interface', 'start_date': datetime.datetime(2016, 2, 20, 0, 51, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 29, 20, 51, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 4, 18, 36, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e434a82-1d9b-47c2-9647-65e2ad01a0ed', 'end_date': datetime.datetime(2013, 7, 22, 21, 57, 36), 'start_time': datetime.datetime(2013, 3, 22, 15, 11, 59), 'rate': 4, 'updated_at': datetime.datetime(2019, 10, 2, 18, 55, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd970e3e6-f617-487c-9fe2-6a6af9b4fc82', 'job_description': 'Enterprise-wide 5th generation circuit', 'start_date': datetime.datetime(2014, 10, 15, 11, 39, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 7, 15, 29, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 10, 21, 57, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5493e0c0-7666-4e1b-99d5-af614893cfbd', 'end_date': datetime.datetime(2012, 5, 1, 9, 27, 7), 'start_time': datetime.datetime(2012, 8, 2, 7, 6, 16), 'rate': 5, 'updated_at': datetime.datetime(2012, 2, 22, 18, 7, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9471e506-ee70-49c6-93c4-3917dec2b88d', 'job_description': 'Implemented full-range help-desk', 'start_date': datetime.datetime(2010, 3, 7, 3, 15, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 17, 15, 29, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 27, 22, 20, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '298024d4-1ec8-4b3d-bf6b-c956915928ac', 'end_date': datetime.datetime(2013, 7, 3, 14, 36, 7), 'start_time': datetime.datetime(2011, 4, 3, 12, 1, 7), 'rate': 1, 'updated_at': datetime.datetime(2010, 8, 12, 10, 54, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a8c77c4e-ef3e-4a2c-bc88-0c5968c91c00', 'job_description': 'Fundamental demand-driven secured line', 'start_date': datetime.datetime(2011, 9, 19, 13, 16, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 17, 9, 19, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 1, 12, 2, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ae2d34fc-52dd-4916-b820-9f2bb8484c06', 'end_date': datetime.datetime(2018, 3, 1, 19, 10, 43), 'start_time': datetime.datetime(2010, 12, 21, 14, 39, 13), 'rate': 1, 'updated_at': datetime.datetime(2013, 4, 17, 15, 30, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f3722e93-b378-4de8-a7f6-c2dc8d42c0a8', 'job_description': 'Ameliorated solution-oriented budgetary management', 'start_date': datetime.datetime(2012, 10, 12, 8, 20, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 14, 5, 57, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 8, 1, 24, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ac47e2e1-845f-4cf1-8f11-be06770074fc', 'end_date': datetime.datetime(2010, 11, 27, 1, 32, 57), 'start_time': datetime.datetime(2015, 11, 3, 11, 7, 57), 'rate': 5, 'updated_at': datetime.datetime(2017, 3, 15, 21, 14, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cf3da78c-bd3e-4b7e-b116-6dbf288f0e7d', 'job_description': 'Switchable analyzing flexibility', 'start_date': datetime.datetime(2018, 12, 4, 5, 17, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 6, 11, 58, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 10, 14, 49, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '953f2565-8874-40f7-862d-5f58d1ab5df8', 'end_date': datetime.datetime(2015, 9, 27, 9, 46, 17), 'start_time': datetime.datetime(2016, 11, 21, 3, 23, 28), 'rate': 1, 'updated_at': datetime.datetime(2017, 12, 5, 14, 5, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Cook Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ac4f645-417a-4875-bf3c-4359b1d4f078', 'job_description': 'Networked disintermediate intranet', 'start_date': datetime.datetime(2012, 3, 21, 2, 40, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 5, 18, 50, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 16, 16, 56, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bea21c56-e772-4159-81a0-9a87ca6aabf1', 'end_date': datetime.datetime(2010, 3, 22, 15, 20, 36), 'start_time': datetime.datetime(2015, 6, 25, 23, 10, 48), 'rate': 1, 'updated_at': datetime.datetime(2014, 11, 22, 19, 8, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6ed9d467-21a8-46c2-ad5d-245e0ad3b0db', 'job_description': 'Multi-lateral bi-directional installation', 'start_date': datetime.datetime(2010, 3, 23, 18, 44, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 25, 1, 5, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 26, 18, 2, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e97af675-932b-4f25-968d-e02c744a380d', 'end_date': datetime.datetime(2017, 8, 21, 14, 41, 41), 'start_time': datetime.datetime(2013, 3, 30, 7, 50, 38), 'rate': 5, 'updated_at': datetime.datetime(2010, 2, 15, 19, 31, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2c680168-57e1-4663-af48-eca09aaab59e', 'job_description': 'Front-line clear-thinking website', 'start_date': datetime.datetime(2012, 9, 26, 16, 40, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 16, 3, 59, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 4, 3, 2, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cecd55a7-8d1f-4492-841b-7eee11cd15cc', 'end_date': datetime.datetime(2010, 6, 3, 1, 29, 9), 'start_time': datetime.datetime(2015, 12, 20, 3, 14, 55), 'rate': 4, 'updated_at': datetime.datetime(2010, 11, 12, 17, 35, 37), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd1cb3c0d-f816-4ae4-a210-a3066dffe4b6', 'job_description': 'Profit-focused interactive productivity', 'start_date': datetime.datetime(2011, 2, 11, 5, 14, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 5, 0, 13, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 9, 21, 41, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1822095d-4208-4948-8c44-d276fbce19b5', 'end_date': datetime.datetime(2016, 4, 2, 12, 20, 16), 'start_time': datetime.datetime(2018, 4, 27, 18, 46, 22), 'rate': 3, 'updated_at': datetime.datetime(2010, 8, 22, 17, 51, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ee8a5924-0cb9-4080-844c-f8da1da5680a', 'job_description': 'Pre-emptive systemic frame', 'start_date': datetime.datetime(2017, 2, 5, 20, 12, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 17, 23, 35, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 30, 19, 9, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8925b102-0801-4687-90d1-7bfd6d027d9a', 'end_date': datetime.datetime(2011, 9, 16, 11, 26, 31), 'start_time': datetime.datetime(2012, 6, 3, 10, 19, 17), 'rate': 2, 'updated_at': datetime.datetime(2017, 2, 5, 21, 21, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1e87e73d-fef5-4afc-a178-9079e04700f2', 'job_description': 'Down-sized high-level moratorium', 'start_date': datetime.datetime(2013, 1, 8, 20, 29, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 29, 18, 37, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 19, 5, 36, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ec9065e5-125d-4fc8-b363-65024baa305b', 'end_date': datetime.datetime(2018, 2, 6, 15, 13, 43), 'start_time': datetime.datetime(2013, 10, 26, 1, 53, 22), 'rate': 4, 'updated_at': datetime.datetime(2012, 8, 14, 6, 1, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '96b9d6ed-d29d-42f2-9dd1-ea5d69925b75', 'job_description': 'Reverse-engineered leading edge algorithm', 'start_date': datetime.datetime(2012, 3, 23, 19, 6, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 19, 10, 21, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 7, 9, 27, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '94386eb5-c7c1-40d1-a228-f30cbe2ae45b', 'end_date': datetime.datetime(2010, 11, 15, 7, 31, 6), 'start_time': datetime.datetime(2019, 8, 23, 7, 46, 56), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 9, 19, 21, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '635a666a-4606-40b3-95b8-a6381d5b6242', 'job_description': 'Progressive multimedia challenge', 'start_date': datetime.datetime(2017, 12, 16, 20, 21, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 14, 8, 15, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 20, 0, 4, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eebadfb7-a20e-496f-9554-284ea6fe7b8c', 'end_date': datetime.datetime(2015, 12, 23, 0, 39), 'start_time': datetime.datetime(2017, 8, 6, 6, 29, 40), 'rate': 3, 'updated_at': datetime.datetime(2010, 2, 27, 13, 59, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
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{'_id': 'a75702c1-02c3-4798-b770-772963604f6c', 'job_description': 'Innovative contextually-based model', 'start_date': datetime.datetime(2017, 11, 3, 14, 58, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 12, 21, 49, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 30, 6, 29, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e64437b8-862e-4c36-a7fe-a877eb2a161b', 'end_date': datetime.datetime(2017, 7, 15, 18, 5, 48), 'start_time': datetime.datetime(2016, 10, 12, 4, 38, 30), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 19, 11, 47, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5a169729-1771-45df-89d3-44849364fe04', 'job_description': 'Self-enabling exuding Graphical User Interface', 'start_date': datetime.datetime(2018, 5, 9, 6, 59, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 3, 13, 17, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 5, 7, 9, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '61b2d59f-6766-455e-8663-755412238126', 'end_date': datetime.datetime(2011, 2, 19, 23, 11, 10), 'start_time': datetime.datetime(2016, 2, 1, 7, 50, 27), 'rate': 2, 'updated_at': datetime.datetime(2019, 3, 27, 16, 4, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Bahamas', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '21672fe0-a35b-47e0-900d-9eb01ef739ad', 'job_description': 'Configurable optimizing process improvement', 'start_date': datetime.datetime(2016, 3, 20, 23, 8, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 12, 19, 20, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 4, 2, 45, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3a4ad705-9f2f-4293-9024-48f40693f509', 'end_date': datetime.datetime(2011, 8, 30, 1, 56, 6), 'start_time': datetime.datetime(2012, 8, 24, 23, 23, 51), 'rate': 5, 'updated_at': datetime.datetime(2017, 3, 2, 12, 49, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Palestinian Territory', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9818a3ee-f407-48ff-b6ff-d81e2d59d98e', 'job_description': 'Organic web-enabled function', 'start_date': datetime.datetime(2018, 10, 14, 5, 49, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 4, 18, 18, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 24, 8, 29, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd18291dc-b82e-46c9-8e70-1c84d343466f', 'end_date': datetime.datetime(2017, 11, 9, 15, 15, 33), 'start_time': datetime.datetime(2011, 5, 23, 4, 26, 23), 'rate': 3, 'updated_at': datetime.datetime(2015, 9, 15, 14, 24, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Cambodia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '31e2a0d0-2f80-4048-9ad6-4e237f2d83ca', 'job_description': 'Proactive leading edge workforce', 'start_date': datetime.datetime(2019, 2, 13, 7, 31, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 17, 16, 54, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 19, 0, 2, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '20b21bd0-1c90-4f68-bafd-c562742af3a0', 'end_date': datetime.datetime(2011, 8, 27, 0, 0, 59), 'start_time': datetime.datetime(2019, 3, 1, 0, 18, 42), 'rate': 1, 'updated_at': datetime.datetime(2011, 2, 23, 1, 0, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Eritrea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cb3ce273-c4a4-46c2-bf7c-2e87ee6a6dc5', 'job_description': 'Automated maximized paradigm', 'start_date': datetime.datetime(2013, 12, 1, 10, 47, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 18, 1, 43, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 30, 15, 24, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ba7547c-8c5b-41e7-889f-71cd3b79be2a', 'end_date': datetime.datetime(2014, 8, 12, 3, 11, 6), 'start_time': datetime.datetime(2017, 6, 28, 6, 2, 13), 'rate': 5, 'updated_at': datetime.datetime(2011, 3, 22, 14, 3, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Bosnia and Herzegovina', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '05b313f8-f2d7-484d-8417-84638af92196', 'job_description': 'Enhanced assymetric structure', 'start_date': datetime.datetime(2016, 5, 21, 0, 38, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 19, 15, 35, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 14, 6, 15, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '72847482-559b-4e9d-b6a8-6a6d0c575ce0', 'end_date': datetime.datetime(2014, 12, 31, 19, 15, 16), 'start_time': datetime.datetime(2012, 9, 15, 10, 28, 12), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 21, 16, 44, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9af3c271-e6e7-4688-a602-ddd45ff55c73', 'job_description': 'Upgradable analyzing concept', 'start_date': datetime.datetime(2017, 6, 26, 23, 58, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 18, 1, 4, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 16, 16, 47, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '49c0572b-4b40-4131-b639-4d749aaec384', 'end_date': datetime.datetime(2017, 4, 27, 7, 17, 53), 'start_time': datetime.datetime(2015, 5, 4, 21, 5, 44), 'rate': 2, 'updated_at': datetime.datetime(2016, 3, 25, 20, 51, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8a0d899d-a98b-4f16-87b6-271c2cd4873d', 'job_description': 'Profound maximized focus group', 'start_date': datetime.datetime(2010, 6, 21, 16, 42, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 11, 5, 18, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 6, 5, 45, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '50bbdc9e-814d-46c8-b30b-3b74a6d5cd97', 'end_date': datetime.datetime(2012, 7, 7, 16, 58, 36), 'start_time': datetime.datetime(2018, 6, 8, 18, 6, 24), 'rate': 1, 'updated_at': datetime.datetime(2015, 10, 31, 11, 51, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b9ea860a-6a39-44b7-861d-6e60ed3c5195', 'job_description': 'Organized fault-tolerant orchestration', 'start_date': datetime.datetime(2014, 1, 7, 1, 38, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 24, 5, 6, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 21, 2, 13, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8819789e-97c6-4a38-bd65-2d5588c90db6', 'end_date': datetime.datetime(2018, 7, 29, 13, 47, 25), 'start_time': datetime.datetime(2014, 6, 7, 6, 39, 26), 'rate': 2, 'updated_at': datetime.datetime(2014, 12, 27, 15, 56, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7faf925e-7131-453a-9446-774c5bcac27b', 'job_description': 'Phased regional migration', 'start_date': datetime.datetime(2014, 5, 14, 21, 56, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 14, 14, 45, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 3, 20, 16, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '173e7970-3f0d-4a80-b6e0-3e204e901531', 'end_date': datetime.datetime(2012, 6, 30, 6, 49, 17), 'start_time': datetime.datetime(2016, 11, 15, 9, 31, 41), 'rate': 4, 'updated_at': datetime.datetime(2010, 2, 5, 9, 59, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '640a4ef6-49cf-48cd-a0de-9227dfc378ce', 'job_description': 'Configurable secondary emulation', 'start_date': datetime.datetime(2013, 3, 20, 22, 49, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 15, 19, 20, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 3, 7, 30, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '11586673-45e2-4a81-8d0c-28c625ea2ca9', 'end_date': datetime.datetime(2014, 3, 18, 20, 57, 27), 'start_time': datetime.datetime(2018, 12, 18, 9, 23, 54), 'rate': 2, 'updated_at': datetime.datetime(2015, 6, 13, 6, 8, 51), 'job_title': 'CoffeeMaker', 'service_id': 'British Indian Ocean Territory (Chagos Archipelago)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ca5a932d-0612-4d3b-bbab-b6dc3e9a8384', 'job_description': 'Total impactful installation', 'start_date': datetime.datetime(2017, 2, 6, 14, 34, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 11, 7, 3, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 30, 5, 32, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'edaaf678-5351-4a36-9637-f0a8a6b97af4', 'end_date': datetime.datetime(2014, 5, 14, 0, 22, 22), 'start_time': datetime.datetime(2014, 11, 24, 8, 25, 23), 'rate': 2, 'updated_at': datetime.datetime(2017, 3, 3, 20, 1, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Tokelau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1bf98565-3daf-4cf5-b334-d6f638016c16', 'job_description': 'Profit-focused local productivity', 'start_date': datetime.datetime(2014, 5, 27, 22, 11, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 16, 22, 53, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 7, 15, 36, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e141a346-8fbf-4ae8-8a34-bf56a1ad7ebc', 'end_date': datetime.datetime(2010, 7, 30, 1, 51, 23), 'start_time': datetime.datetime(2019, 6, 25, 3, 4, 1), 'rate': 1, 'updated_at': datetime.datetime(2012, 12, 23, 3, 56, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7f68d642-24ef-469c-8bb3-3ed07cb39b42', 'job_description': 'Synergized upward-trending data-warehouse', 'start_date': datetime.datetime(2018, 9, 28, 7, 49, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 5, 18, 3, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 12, 0, 40, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6706a9e7-8d1a-4baa-ae31-0310c836a985', 'end_date': datetime.datetime(2012, 12, 9, 0, 55, 23), 'start_time': datetime.datetime(2016, 6, 17, 11, 36, 23), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 12, 12, 35, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1377bdb2-dbc2-49d5-962b-7122a961927a', 'job_description': 'Seamless 5th generation circuit', 'start_date': datetime.datetime(2010, 9, 22, 23, 13, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 22, 16, 32, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 19, 10, 46, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7bb579ef-492c-477e-8fe5-05c9b066e1dc', 'end_date': datetime.datetime(2018, 10, 11, 14, 36, 16), 'start_time': datetime.datetime(2019, 4, 2, 16, 8, 14), 'rate': 3, 'updated_at': datetime.datetime(2011, 10, 2, 1, 52, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '046518e3-d50f-4990-b65a-3b306f947c45', 'job_description': 'Face to face 5th generation knowledge user', 'start_date': datetime.datetime(2019, 8, 25, 11, 45, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 8, 22, 22, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 11, 2, 31, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f694d9d9-d720-4629-9019-f19467694566', 'end_date': datetime.datetime(2016, 11, 3, 3, 12, 20), 'start_time': datetime.datetime(2019, 10, 17, 12, 3, 13), 'rate': 2, 'updated_at': datetime.datetime(2012, 9, 17, 4, 14, 10), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c4a44d6d-35f8-47b4-b967-4f21fcdaf49d', 'job_description': 'Progressive contextually-based hub', 'start_date': datetime.datetime(2017, 5, 29, 6, 33, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 10, 8, 17, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 7, 15, 53, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3deb7941-b964-4d62-a3c1-77d307a0f610', 'end_date': datetime.datetime(2015, 10, 15, 4, 24, 38), 'start_time': datetime.datetime(2012, 11, 25, 13, 12, 59), 'rate': 1, 'updated_at': datetime.datetime(2014, 4, 16, 6, 28, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a19e191a-787b-4874-ac44-deda2f095522', 'job_description': 'Visionary 6th generation intranet', 'start_date': datetime.datetime(2010, 9, 28, 17, 27, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 9, 5, 52, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 1, 13, 2, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ca8a01de-abe8-41fd-a5d4-94573c31803f', 'end_date': datetime.datetime(2012, 9, 14, 5, 14, 51), 'start_time': datetime.datetime(2012, 11, 30, 7, 16, 8), 'rate': 4, 'updated_at': datetime.datetime(2014, 7, 22, 19, 8, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '43a6dc9d-c1d3-465c-a968-bf2a7e66f1c7', 'job_description': 'Extended bifurcated service-desk', 'start_date': datetime.datetime(2010, 11, 16, 15, 57, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 31, 7, 24, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 21, 9, 21, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '50798302-b264-4365-8afd-5cb26295fac6', 'end_date': datetime.datetime(2010, 8, 7, 7, 43, 24), 'start_time': datetime.datetime(2015, 4, 5, 21, 19, 10), 'rate': 3, 'updated_at': datetime.datetime(2019, 9, 13, 22, 12, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '44bfa1f9-d55f-419d-a7f7-3b75776ce047', 'job_description': 'Multi-lateral systematic benchmark', 'start_date': datetime.datetime(2017, 7, 27, 14, 53, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 20, 22, 11, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 27, 6, 56, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '892f381c-5554-4868-b483-9b71d3b49a7a', 'end_date': datetime.datetime(2014, 5, 1, 18, 58, 22), 'start_time': datetime.datetime(2010, 8, 3, 5, 14, 59), 'rate': 1, 'updated_at': datetime.datetime(2011, 6, 9, 17, 40, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c8029cf0-2647-4ea6-a31f-497c3a2bd490', 'job_description': 'Innovative contextually-based solution', 'start_date': datetime.datetime(2018, 6, 14, 9, 23, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 10, 17, 24, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 15, 21, 29, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9c387a7d-6098-41f7-bd2e-caf411478dff', 'end_date': datetime.datetime(2010, 12, 7, 1, 37, 59), 'start_time': datetime.datetime(2018, 4, 23, 18, 3, 56), 'rate': 1, 'updated_at': datetime.datetime(2017, 1, 8, 17, 5, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '486259c3-4e5a-41b4-9399-00070e600ccb', 'job_description': 'Configurable 3rd generation architecture', 'start_date': datetime.datetime(2011, 4, 21, 23, 5, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 6, 6, 45, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 15, 7, 58, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '027e3e59-6460-4d5f-a0e0-c02a452d778d', 'end_date': datetime.datetime(2013, 6, 4, 14, 50, 2), 'start_time': datetime.datetime(2013, 11, 3, 21, 25, 44), 'rate': 1, 'updated_at': datetime.datetime(2018, 10, 15, 6, 34, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ca462a09-462e-4b95-9c36-21ad2a79c2d6', 'job_description': 'Persevering eco-centric knowledge user', 'start_date': datetime.datetime(2018, 10, 27, 0, 38, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 4, 16, 48, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 12, 23, 39, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d9f200b-3b5a-4acd-a527-95f6a5cd8bbd', 'end_date': datetime.datetime(2013, 7, 9, 1, 54, 47), 'start_time': datetime.datetime(2012, 2, 6, 12, 48, 41), 'rate': 5, 'updated_at': datetime.datetime(2017, 7, 12, 19, 58, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '53dfb233-a72a-4acf-9923-ffa906e4b2ab', 'job_description': 'Synergized 24 hour archive', 'start_date': datetime.datetime(2013, 11, 23, 15, 55, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 15, 12, 25, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 1, 22, 58, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c68ecb4a-af14-4fd0-a34b-be7a2537e228', 'end_date': datetime.datetime(2010, 6, 4, 11, 55, 30), 'start_time': datetime.datetime(2018, 6, 18, 0, 33, 22), 'rate': 3, 'updated_at': datetime.datetime(2014, 7, 18, 2, 6, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Benin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ab28702-9d69-46ca-98f7-34a6e642ec1e', 'job_description': 'Fundamental non-volatile Graphical User Interface', 'start_date': datetime.datetime(2010, 4, 29, 9, 40, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 10, 20, 21, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 23, 17, 45, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e096092e-5f50-4f47-929d-98c07ff9a842', 'end_date': datetime.datetime(2017, 12, 30, 2, 0, 24), 'start_time': datetime.datetime(2016, 2, 28, 20, 4, 53), 'rate': 3, 'updated_at': datetime.datetime(2017, 11, 23, 18, 32, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9ce11f17-e4d5-4ca5-8733-8c049ab02275', 'job_description': 'Sharable zero tolerance encryption', 'start_date': datetime.datetime(2019, 10, 29, 20, 8, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 21, 1, 23, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 17, 7, 24, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '824e945d-d099-4058-b53a-153ee864766f', 'end_date': datetime.datetime(2018, 12, 10, 5, 45, 58), 'start_time': datetime.datetime(2014, 5, 28, 19, 33, 17), 'rate': 5, 'updated_at': datetime.datetime(2019, 2, 19, 5, 49, 31), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f5051c3a-18e9-4693-97b4-30b7bd09a99f', 'job_description': 'Stand-alone tangible flexibility', 'start_date': datetime.datetime(2013, 1, 16, 13, 45, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 4, 16, 4, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 24, 7, 56, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '646c00fd-fceb-45bc-b0d7-268e5a604318', 'end_date': datetime.datetime(2016, 10, 4, 2, 53, 38), 'start_time': datetime.datetime(2016, 9, 6, 2, 59, 48), 'rate': 1, 'updated_at': datetime.datetime(2010, 4, 23, 10, 3, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e29bb082-9e89-409b-9e3a-6bf35c5a8981', 'job_description': 'De-engineered client-server implementation', 'start_date': datetime.datetime(2012, 7, 18, 19, 56, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 17, 21, 28, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 7, 12, 26, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1366701f-08d0-4fc6-bca0-6012b48b3baf', 'end_date': datetime.datetime(2010, 11, 3, 19, 26, 15), 'start_time': datetime.datetime(2015, 1, 6, 2, 34, 25), 'rate': 1, 'updated_at': datetime.datetime(2018, 7, 3, 3, 28, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7b890dc1-ca94-453a-9976-9b2b2997c3d7', 'job_description': 'Reactive web-enabled portal', 'start_date': datetime.datetime(2013, 6, 27, 8, 52, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 30, 21, 11, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 9, 21, 17, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '66602796-400a-44a5-8520-486e5e6751e4', 'end_date': datetime.datetime(2010, 8, 21, 21, 26, 57), 'start_time': datetime.datetime(2019, 3, 8, 7, 33, 18), 'rate': 5, 'updated_at': datetime.datetime(2014, 3, 7, 1, 21, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1f71a2b6-b9fb-4033-862a-4af2c3a06833', 'job_description': 'Team-oriented radical firmware', 'start_date': datetime.datetime(2016, 5, 27, 23, 8, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 14, 21, 54, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 18, 18, 59, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3aa71837-ed89-4bbd-8671-308df0aeb5b7', 'end_date': datetime.datetime(2014, 1, 20, 1, 38, 53), 'start_time': datetime.datetime(2010, 10, 25, 9, 10, 45), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 8, 13, 46, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Pakistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'abb27982-74de-427f-88b7-6d128315c0e2', 'job_description': 'Configurable maximized algorithm', 'start_date': datetime.datetime(2013, 1, 25, 19, 57, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 26, 3, 49, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 30, 14, 30, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6baaea5f-3510-40e9-9859-fdf8dd187b04', 'end_date': datetime.datetime(2018, 1, 27, 0, 15, 44), 'start_time': datetime.datetime(2017, 4, 20, 14, 8, 27), 'rate': 4, 'updated_at': datetime.datetime(2016, 6, 19, 18, 37, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '25dad8fe-5eba-449e-866a-cb89b00da95a', 'job_description': 'Multi-channelled user-facing data-warehouse', 'start_date': datetime.datetime(2012, 5, 28, 7, 52, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 17, 14, 28, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 15, 9, 19, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0676de3b-9e2e-4548-bffb-04bca97ddf45', 'end_date': datetime.datetime(2016, 7, 24, 1, 53, 22), 'start_time': datetime.datetime(2014, 10, 30, 20, 15, 49), 'rate': 1, 'updated_at': datetime.datetime(2016, 9, 2, 15, 4, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'df4fb469-b0db-4dc8-8569-251ee3717c72', 'job_description': 'Function-based bottom-line hub', 'start_date': datetime.datetime(2013, 4, 9, 17, 9, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 19, 5, 37, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 4, 11, 31, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2d3f10df-0bc8-4520-9862-90bc60d65b6a', 'end_date': datetime.datetime(2013, 5, 29, 10, 0, 25), 'start_time': datetime.datetime(2011, 7, 26, 13, 0, 17), 'rate': 5, 'updated_at': datetime.datetime(2018, 9, 19, 4, 57, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6860c732-caea-4860-95ff-4b8ee14eb391', 'job_description': 'Decentralized user-facing function', 'start_date': datetime.datetime(2012, 7, 7, 8, 43, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 25, 17, 9, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 25, 14, 18, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4a4790e0-a249-44d6-a79b-6ad2742b8f73', 'end_date': datetime.datetime(2015, 6, 1, 19, 27, 57), 'start_time': datetime.datetime(2017, 1, 4, 21, 33, 44), 'rate': 3, 'updated_at': datetime.datetime(2011, 5, 27, 23, 44, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a7e59d87-ff21-46f3-9da3-26e73af57087', 'job_description': 'Re-engineered dedicated array', 'start_date': datetime.datetime(2017, 10, 17, 8, 51, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 5, 2, 52, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 10, 21, 31, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f3c30dc-5ad5-4d25-b35e-da1e496cda6e', 'end_date': datetime.datetime(2011, 11, 22, 2, 56, 52), 'start_time': datetime.datetime(2018, 12, 26, 17, 44, 11), 'rate': 5, 'updated_at': datetime.datetime(2019, 3, 2, 18, 40, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a123980b-5297-48de-b20e-7a735a6f32a9', 'job_description': 'Operative incremental approach', 'start_date': datetime.datetime(2015, 10, 15, 16, 45, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 30, 19, 59, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 16, 23, 17, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '280fe7a5-8594-4e7a-915e-91ed54afecdc', 'end_date': datetime.datetime(2015, 5, 19, 12, 15, 51), 'start_time': datetime.datetime(2019, 1, 30, 5, 7, 40), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 22, 2, 49, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0895e96f-4248-4152-9f43-012fd9dc7a91', 'job_description': 'Switchable bottom-line leverage', 'start_date': datetime.datetime(2016, 7, 2, 11, 20, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 18, 1, 12, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 27, 9, 12, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c8fa8799-5ae0-4a34-aae6-a54f25e871bc', 'end_date': datetime.datetime(2011, 2, 20, 7, 56, 39), 'start_time': datetime.datetime(2010, 9, 13, 11, 3, 43), 'rate': 4, 'updated_at': datetime.datetime(2014, 3, 30, 2, 7, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Bulgaria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4e8e8753-2ad0-4384-ac6c-1971084b6f4c', 'job_description': 'Total systemic leverage', 'start_date': datetime.datetime(2010, 11, 10, 13, 41, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 7, 18, 43, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 21, 17, 52, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9b2c7e06-b2d0-4acc-833e-9b6035d8de24', 'end_date': datetime.datetime(2011, 3, 26, 22, 3, 14), 'start_time': datetime.datetime(2011, 6, 10, 22, 54, 39), 'rate': 5, 'updated_at': datetime.datetime(2015, 9, 2, 0, 42, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9fc3baf7-ec27-4698-8433-95ec6283c859', 'job_description': 'Total actuating service-desk', 'start_date': datetime.datetime(2014, 2, 4, 15, 58, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 10, 2, 34, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 23, 0, 59, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1c4ff9de-416d-4d65-9fc2-efb3ae04bae4', 'end_date': datetime.datetime(2018, 7, 20, 3, 44, 41), 'start_time': datetime.datetime(2016, 11, 9, 17, 9, 23), 'rate': 3, 'updated_at': datetime.datetime(2019, 3, 7, 11, 1, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd38b3ae1-4d18-471a-870b-da12a99c5287', 'job_description': 'Customer-focused scalable concept', 'start_date': datetime.datetime(2015, 3, 10, 9, 49, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 30, 18, 26, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 27, 16, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dec2f1f9-8b1a-4c46-865e-cfdd3f9ce0b8', 'end_date': datetime.datetime(2013, 10, 7, 0, 27, 27), 'start_time': datetime.datetime(2015, 12, 14, 23, 20, 12), 'rate': 5, 'updated_at': datetime.datetime(2017, 12, 31, 6, 31, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3cc65707-4fd4-429a-acf1-e79e0dd92c13', 'job_description': 'Pre-emptive next generation time-frame', 'start_date': datetime.datetime(2016, 3, 10, 23, 30, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 6, 4, 24, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 24, 13, 44, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1881c2d6-c799-40cc-836c-739e4872f8ce', 'end_date': datetime.datetime(2010, 4, 30, 6, 1, 23), 'start_time': datetime.datetime(2011, 7, 28, 22, 43, 7), 'rate': 3, 'updated_at': datetime.datetime(2012, 1, 13, 0, 20, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '072e7835-958e-43a7-bab6-0a816acd05b2', 'job_description': 'Virtual methodical service-desk', 'start_date': datetime.datetime(2019, 7, 8, 12, 50, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 1, 12, 17, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 25, 23, 10, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '73481913-8149-459b-a330-7043b0570bd6', 'end_date': datetime.datetime(2014, 8, 2, 18, 4, 19), 'start_time': datetime.datetime(2014, 11, 29, 7, 34, 51), 'rate': 1, 'updated_at': datetime.datetime(2018, 6, 14, 22, 38, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4facc74b-a93a-4692-9021-d03e034dbf8c', 'job_description': 'Open-source scalable hierarchy', 'start_date': datetime.datetime(2012, 2, 5, 7, 44, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 3, 15, 58, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 28, 16, 57, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a9034ba-c1f4-411c-998a-5608fe903a40', 'end_date': datetime.datetime(2015, 12, 17, 0, 16, 24), 'start_time': datetime.datetime(2015, 10, 18, 16, 34, 48), 'rate': 3, 'updated_at': datetime.datetime(2012, 1, 27, 1, 56, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8632e5ee-bb27-45d6-85a2-d6d048774929', 'job_description': 'Right-sized web-enabled process improvement', 'start_date': datetime.datetime(2019, 8, 20, 0, 34, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 20, 14, 54, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 30, 3, 18, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '39a43f96-c6cf-4285-bad7-1ed8edd5bf7a', 'end_date': datetime.datetime(2012, 12, 24, 3, 56, 11), 'start_time': datetime.datetime(2019, 10, 26, 14, 5, 3), 'rate': 2, 'updated_at': datetime.datetime(2017, 4, 10, 12, 6, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Egypt', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ebe5ab5b-87aa-4a00-b3b6-67e9d6031134', 'job_description': 'Visionary bottom-line knowledge base', 'start_date': datetime.datetime(2013, 1, 24, 17, 40, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 8, 21, 23, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 9, 18, 44, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '21c94eae-d620-426f-a4f3-63f22f5a065a', 'end_date': datetime.datetime(2017, 3, 24, 7, 18, 20), 'start_time': datetime.datetime(2019, 8, 18, 10, 13, 11), 'rate': 4, 'updated_at': datetime.datetime(2014, 2, 13, 18, 12, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'da73b65c-09b4-49c3-b756-ed39d060513d', 'job_description': 'User-centric fresh-thinking concept', 'start_date': datetime.datetime(2017, 12, 11, 13, 51, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 3, 3, 17, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 4, 12, 51, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0156b302-7a73-44eb-98e5-b5d9eaafe9c9', 'end_date': datetime.datetime(2018, 1, 24, 7, 52, 8), 'start_time': datetime.datetime(2016, 8, 12, 13, 12, 3), 'rate': 4, 'updated_at': datetime.datetime(2014, 5, 11, 22, 54, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3e40c169-17ae-4447-9196-2c1a46a0be03', 'job_description': 'Reactive composite hardware', 'start_date': datetime.datetime(2011, 6, 2, 20, 23, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 1, 21, 56, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 17, 13, 56, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ae3bd2dc-17ce-4cef-b21e-58540688ed54', 'end_date': datetime.datetime(2015, 11, 7, 21, 5, 12), 'start_time': datetime.datetime(2014, 11, 17, 23, 28, 14), 'rate': 5, 'updated_at': datetime.datetime(2019, 9, 28, 2, 56, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'be1e9f04-057b-43d7-b2bc-8a6f75dba797', 'job_description': 'Optional empowering support', 'start_date': datetime.datetime(2013, 8, 28, 19, 24, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 18, 21, 58, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 6, 17, 47, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d5a0b2f-49f6-4efc-a2d8-ca43b8d80a85', 'end_date': datetime.datetime(2011, 5, 27, 16, 4, 9), 'start_time': datetime.datetime(2015, 3, 9, 4, 21, 11), 'rate': 3, 'updated_at': datetime.datetime(2018, 8, 31, 4, 32, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e5632e74-e48b-42b9-af40-31ad17a11515', 'job_description': 'Front-line methodical conglomeration', 'start_date': datetime.datetime(2012, 3, 12, 16, 23, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 1, 21, 38, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 2, 6, 48, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '61df4d2f-8601-4374-814b-e39abb17a634', 'end_date': datetime.datetime(2014, 11, 16, 11, 25, 26), 'start_time': datetime.datetime(2018, 1, 20, 2, 8, 29), 'rate': 2, 'updated_at': datetime.datetime(2016, 10, 7, 12, 43, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8c14cc39-c3ae-4f93-9507-8c61a6716e04', 'job_description': 'Synergized optimizing encryption', 'start_date': datetime.datetime(2019, 11, 25, 21, 32, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 19, 23, 13, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 26, 14, 34, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3810ac63-b470-47c7-98af-67c9f162ec2f', 'end_date': datetime.datetime(2016, 10, 10, 21, 45, 33), 'start_time': datetime.datetime(2013, 6, 22, 18, 31, 6), 'rate': 4, 'updated_at': datetime.datetime(2019, 9, 25, 8, 59, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f7c3ca3e-e70c-4daf-b524-ecd30a92e36c', 'job_description': 'Extended maximized focus group', 'start_date': datetime.datetime(2014, 7, 4, 8, 19, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 25, 7, 9, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 2, 20, 38, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '62ab152c-56f3-4c41-a3f3-02145536de6a', 'end_date': datetime.datetime(2012, 8, 1, 20, 9, 48), 'start_time': datetime.datetime(2011, 3, 7, 16, 10, 52), 'rate': 4, 'updated_at': datetime.datetime(2012, 6, 27, 4, 31, 40), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8d9b1d3d-93b4-4048-93f2-bde1e0262cc9', 'job_description': 'Synergized local local area network', 'start_date': datetime.datetime(2017, 7, 7, 10, 42, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 26, 6, 53, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 15, 9, 31, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e1ef1f23-e531-4043-9cd2-7e59f4b2a972', 'end_date': datetime.datetime(2017, 2, 25, 2, 58, 9), 'start_time': datetime.datetime(2011, 3, 1, 18, 51, 27), 'rate': 2, 'updated_at': datetime.datetime(2018, 11, 1, 22, 49, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a999ebb3-7a96-4dcc-b9b6-47fbb4c31dd3', 'job_description': 'Function-based needs-based capacity', 'start_date': datetime.datetime(2013, 6, 17, 12, 9, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 1, 18, 23, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 22, 19, 2, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c62780b9-bfae-4965-9f47-f85e9ce2635f', 'end_date': datetime.datetime(2010, 4, 30, 3, 51, 41), 'start_time': datetime.datetime(2011, 8, 22, 0, 0, 20), 'rate': 2, 'updated_at': datetime.datetime(2018, 9, 4, 6, 34, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9be94d3c-a4a9-4bf6-9c8a-eec6e7b95509', 'job_description': 'Fully-configurable background concept', 'start_date': datetime.datetime(2014, 1, 14, 15, 19, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 10, 15, 33, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 20, 2, 3, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd416f79e-9602-4764-b51c-bb2487d216cc', 'end_date': datetime.datetime(2018, 1, 11, 5, 58, 4), 'start_time': datetime.datetime(2014, 1, 18, 15, 49, 28), 'rate': 5, 'updated_at': datetime.datetime(2015, 9, 4, 2, 24, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2eae195b-8875-4b31-9804-4b7001135b41', 'job_description': 'Configurable solution-oriented moratorium', 'start_date': datetime.datetime(2018, 2, 10, 2, 22, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 27, 4, 6, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 25, 21, 16, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '832574b0-18c6-464f-ae29-d506b795ae7e', 'end_date': datetime.datetime(2016, 12, 13, 3, 19, 2), 'start_time': datetime.datetime(2011, 5, 9, 7, 55, 15), 'rate': 3, 'updated_at': datetime.datetime(2011, 9, 10, 13, 0, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c5b39207-fe52-476f-8833-52b332a4bbc3', 'job_description': 'Managed 24/7 intranet', 'start_date': datetime.datetime(2017, 11, 5, 13, 15, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 22, 6, 20, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 9, 0, 37, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b9a741b2-0599-43df-af52-91dec30fb7c1', 'end_date': datetime.datetime(2010, 4, 30, 22, 33, 21), 'start_time': datetime.datetime(2015, 2, 25, 19, 42, 16), 'rate': 2, 'updated_at': datetime.datetime(2010, 10, 3, 5, 41, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '00dc416e-d50c-45d6-9764-c4c449ad9ebf', 'job_description': 'Realigned intangible hierarchy', 'start_date': datetime.datetime(2011, 7, 3, 23, 25, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 19, 16, 44, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 19, 21, 53, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e40248d-fa4c-4798-addb-6e27a4101bb3', 'end_date': datetime.datetime(2019, 8, 24, 5, 48, 52), 'start_time': datetime.datetime(2019, 4, 10, 8, 27, 1), 'rate': 4, 'updated_at': datetime.datetime(2018, 10, 11, 3, 37, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1d05a894-e914-443e-8a45-aaf609e5c9f4', 'job_description': 'Business-focused actuating local area network', 'start_date': datetime.datetime(2016, 1, 18, 0, 28, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 5, 20, 43, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 3, 12, 29, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3717d7ef-3b05-4ae3-9ced-c6e7c1c34b36', 'end_date': datetime.datetime(2015, 8, 9, 0, 2, 5), 'start_time': datetime.datetime(2019, 8, 29, 6, 36, 36), 'rate': 2, 'updated_at': datetime.datetime(2013, 4, 3, 22, 5, 15), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '777427d5-494f-427a-9f6a-5e826670d548', 'job_description': 'Business-focused methodical hierarchy', 'start_date': datetime.datetime(2015, 7, 7, 11, 33, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 11, 3, 43, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 29, 1, 1, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '756fc72c-b95b-43c0-a68b-c072fdfe447b', 'end_date': datetime.datetime(2011, 1, 1, 17, 55, 17), 'start_time': datetime.datetime(2016, 1, 18, 9, 11, 33), 'rate': 3, 'updated_at': datetime.datetime(2016, 12, 30, 11, 19, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8d383fe1-ed9e-4cfb-a28e-b8e3ef018ec0', 'job_description': 'Up-sized solution-oriented methodology', 'start_date': datetime.datetime(2013, 9, 4, 21, 1, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 15, 9, 14, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 15, 5, 15, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd89397d5-1d9a-45cb-a79f-34867f2dd3e9', 'end_date': datetime.datetime(2012, 9, 14, 4, 22, 9), 'start_time': datetime.datetime(2017, 10, 4, 5, 52, 45), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 9, 3, 56, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b5f3cf1c-f68b-4257-9e90-5f8e928b7bae', 'job_description': 'Cloned methodical intranet', 'start_date': datetime.datetime(2018, 11, 17, 10, 10, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 24, 23, 58, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 2, 17, 9, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd6e9d825-3e08-41b5-b94b-f1d1a884ffc4', 'end_date': datetime.datetime(2015, 1, 2, 11, 37, 1), 'start_time': datetime.datetime(2017, 4, 21, 22, 11, 41), 'rate': 4, 'updated_at': datetime.datetime(2018, 5, 8, 0, 15, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6d53a62e-81e5-4f04-85b7-0acf45e15ffb', 'job_description': 'Progressive didactic knowledge user', 'start_date': datetime.datetime(2012, 12, 14, 6, 38, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 5, 8, 39, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 7, 11, 41, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7057d771-da2b-4411-80e6-85ed628791ec', 'end_date': datetime.datetime(2011, 10, 11, 3, 54, 47), 'start_time': datetime.datetime(2014, 9, 10, 0, 37, 22), 'rate': 1, 'updated_at': datetime.datetime(2014, 12, 3, 3, 37, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd1c54007-e8f3-4e91-b82d-6df8331a4c76', 'job_description': 'Stand-alone intangible infrastructure', 'start_date': datetime.datetime(2011, 11, 12, 2, 6, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 25, 0, 5, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 29, 23, 40, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c8757e0e-6d5a-453a-bc77-3b08f5c71d01', 'end_date': datetime.datetime(2019, 10, 23, 8, 15, 11), 'start_time': datetime.datetime(2015, 11, 9, 23, 48, 4), 'rate': 4, 'updated_at': datetime.datetime(2013, 7, 8, 0, 26, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5bb4757-ae20-4c44-87db-36c64d1d5fe9', 'job_description': 'Extended holistic website', 'start_date': datetime.datetime(2013, 1, 12, 4, 16, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 21, 14, 7, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 12, 6, 17, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '083e9f5b-72ff-44e2-ab1b-d463d6246def', 'end_date': datetime.datetime(2016, 7, 26, 13, 44, 5), 'start_time': datetime.datetime(2010, 5, 26, 14, 53, 54), 'rate': 1, 'updated_at': datetime.datetime(2018, 9, 8, 10, 21, 2), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4cb7cb28-8b69-4a16-8782-835b3254e263', 'job_description': 'Object-based upward-trending policy', 'start_date': datetime.datetime(2015, 5, 25, 13, 22, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 13, 16, 20, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 7, 14, 10, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83f54cbe-b611-4aee-ac77-fa9c9dfe335b', 'end_date': datetime.datetime(2013, 7, 6, 22, 23, 59), 'start_time': datetime.datetime(2011, 2, 12, 9, 27, 34), 'rate': 3, 'updated_at': datetime.datetime(2011, 10, 21, 3, 50, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Nauru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f2241508-439f-4096-8ca9-43a659de9a13', 'job_description': 'Versatile executive middleware', 'start_date': datetime.datetime(2014, 5, 28, 22, 44, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 20, 11, 6, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 20, 3, 2, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '814a0be2-69b0-493f-a3f9-aea49938fa01', 'end_date': datetime.datetime(2015, 7, 21, 20, 43, 34), 'start_time': datetime.datetime(2013, 2, 25, 3, 45, 12), 'rate': 3, 'updated_at': datetime.datetime(2010, 12, 7, 6, 17, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8eb17450-1178-44df-8c60-91242a385007', 'job_description': 'Innovative value-added matrix', 'start_date': datetime.datetime(2012, 6, 19, 5, 37, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 22, 8, 16, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 27, 22, 50, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e581c2f2-634f-4abf-bdda-26bbcf332519', 'end_date': datetime.datetime(2011, 6, 13, 9, 50, 5), 'start_time': datetime.datetime(2015, 12, 21, 21, 8), 'rate': 4, 'updated_at': datetime.datetime(2017, 3, 11, 3, 19, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2deeb78f-becf-47ca-8ac0-f026065e9b6f', 'job_description': 'Down-sized dedicated standardization', 'start_date': datetime.datetime(2013, 7, 16, 12, 54, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 4, 4, 55, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 26, 12, 59, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '16f94173-48ca-4c5d-8bda-f9706e8f7d83', 'end_date': datetime.datetime(2011, 4, 17, 17, 43, 55), 'start_time': datetime.datetime(2013, 3, 4, 21, 31, 14), 'rate': 1, 'updated_at': datetime.datetime(2016, 8, 9, 16, 40, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '05fa1f81-3257-4e26-8e8e-7f3ebf2d252d', 'job_description': 'Self-enabling national software', 'start_date': datetime.datetime(2018, 2, 20, 8, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 3, 14, 34, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 31, 17, 15, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '956ef932-06d6-4f4b-9f2b-c900a333219b', 'end_date': datetime.datetime(2014, 10, 30, 2, 2, 9), 'start_time': datetime.datetime(2013, 3, 9, 21, 20, 46), 'rate': 2, 'updated_at': datetime.datetime(2016, 3, 27, 0, 32, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c2e0e55e-3ff0-42a9-a1ac-4720686c2031', 'job_description': 'Customer-focused mobile projection', 'start_date': datetime.datetime(2018, 4, 3, 22, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 8, 4, 32, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 8, 8, 21, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ac43b2f4-a04d-4a63-96ce-2b2f60ff3055', 'end_date': datetime.datetime(2018, 8, 3, 22, 14, 59), 'start_time': datetime.datetime(2013, 11, 18, 19, 57, 35), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 12, 11, 50, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Oman', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '97421438-f089-43eb-8583-f9ed742f0b20', 'job_description': 'Enterprise-wide client-server collaboration', 'start_date': datetime.datetime(2013, 4, 3, 7, 35, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 22, 8, 55, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 2, 10, 49, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9cb97871-d087-4ab3-a396-bc4d1e2429b6', 'end_date': datetime.datetime(2013, 3, 19, 11, 29, 8), 'start_time': datetime.datetime(2012, 1, 25, 0, 53, 12), 'rate': 5, 'updated_at': datetime.datetime(2014, 3, 9, 12, 26, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '723617c9-a421-4a03-85f3-af29d79eaa9c', 'job_description': 'Inverse foreground adapter', 'start_date': datetime.datetime(2011, 10, 7, 10, 46, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 3, 2, 8, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 20, 0, 53, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '161ed1a9-8e7e-43c4-b757-bb689133c217', 'end_date': datetime.datetime(2016, 9, 11, 4, 19, 31), 'start_time': datetime.datetime(2014, 9, 27, 23, 23, 50), 'rate': 2, 'updated_at': datetime.datetime(2018, 11, 10, 3, 26, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c0894fd8-739b-4387-8718-71d99ae0c8d4', 'job_description': 'Synchronised eco-centric approach', 'start_date': datetime.datetime(2015, 2, 16, 19, 49, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 7, 10, 44, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 17, 15, 12, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3fb0e177-c3b0-4af1-86c0-55fc528e1e5a', 'end_date': datetime.datetime(2017, 9, 24, 2, 23, 41), 'start_time': datetime.datetime(2013, 2, 22, 19, 52, 13), 'rate': 2, 'updated_at': datetime.datetime(2014, 12, 11, 14, 23, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ee94b429-5d88-47eb-9832-2b9e0efe0c72', 'job_description': 'Function-based grid-enabled toolset', 'start_date': datetime.datetime(2017, 8, 11, 3, 41, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 1, 12, 14, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 13, 19, 59, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '677aa8a9-c214-41f7-902c-0a80cc947d39', 'end_date': datetime.datetime(2016, 10, 21, 1, 29, 22), 'start_time': datetime.datetime(2018, 12, 17, 13, 35, 37), 'rate': 1, 'updated_at': datetime.datetime(2018, 12, 12, 2, 13, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Angola', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '778049b6-8b74-41f9-9dba-b690ea566e6e', 'job_description': 'Total global customer loyalty', 'start_date': datetime.datetime(2017, 11, 16, 21, 58, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 7, 23, 24, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 16, 18, 17, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd19488cf-05dd-43f6-a580-8a49aa07cb6c', 'end_date': datetime.datetime(2014, 7, 29, 12, 24, 18), 'start_time': datetime.datetime(2016, 3, 13, 6, 49, 19), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 22, 10, 54, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fbf6a5e1-d741-462d-bf4f-04c2c7ea23c6', 'job_description': 'Phased foreground framework', 'start_date': datetime.datetime(2013, 7, 5, 23, 11, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 17, 7, 44, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 1, 23, 4, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '480f9326-b7b3-4175-a4fd-6b0e3eb8608e', 'end_date': datetime.datetime(2013, 11, 17, 20, 21, 41), 'start_time': datetime.datetime(2014, 5, 13, 5, 48, 59), 'rate': 3, 'updated_at': datetime.datetime(2018, 2, 7, 21, 52, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b6f9b8a-65c0-4ba6-94ec-f0ab0f1c46f4', 'job_description': 'Robust transitional adapter', 'start_date': datetime.datetime(2017, 3, 10, 17, 44, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 15, 3, 30, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 14, 8, 52, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '13b6e6ff-bce4-4106-9b6a-99ebb76c9a9a', 'end_date': datetime.datetime(2016, 9, 1, 10, 17, 28), 'start_time': datetime.datetime(2014, 11, 4, 15, 20, 41), 'rate': 1, 'updated_at': datetime.datetime(2015, 8, 9, 14, 33, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Russian Federation', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4381c303-0820-4e49-8d7d-c0041400ab51', 'job_description': 'Progressive content-based capability', 'start_date': datetime.datetime(2016, 1, 25, 9, 55, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 8, 16, 31, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 13, 10, 27, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ba9b8c2c-9d8b-4734-8abd-8bbddd3f38fe', 'end_date': datetime.datetime(2018, 4, 9, 23, 6, 47), 'start_time': datetime.datetime(2018, 12, 16, 14, 44, 5), 'rate': 3, 'updated_at': datetime.datetime(2018, 11, 5, 6, 1, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f6facefb-f1e8-4821-823c-7c2b0d21e24e', 'job_description': 'Cloned local initiative', 'start_date': datetime.datetime(2016, 2, 10, 12, 43, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 11, 15, 19, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 28, 7, 17, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5dc2ebf3-8ac4-4c1a-bf76-85f48201a45a', 'end_date': datetime.datetime(2014, 3, 26, 17, 28), 'start_time': datetime.datetime(2016, 8, 4, 11, 56, 46), 'rate': 5, 'updated_at': datetime.datetime(2014, 5, 3, 5, 44, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e48a542d-e167-4406-a2d2-d73709729e3f', 'job_description': 'Public-key regional alliance', 'start_date': datetime.datetime(2011, 8, 24, 16, 54, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 26, 10, 43, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 23, 16, 56, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb6b4d87-e34e-44f0-9ef7-2f9f6bbc1ef0', 'end_date': datetime.datetime(2012, 10, 11, 15, 30, 6), 'start_time': datetime.datetime(2019, 1, 5, 21, 22, 18), 'rate': 5, 'updated_at': datetime.datetime(2010, 2, 3, 12, 24, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b31ad54-fdf6-4f11-a9d1-dc047c57b5d5', 'job_description': 'Assimilated assymetric Graphical User Interface', 'start_date': datetime.datetime(2010, 7, 8, 4, 56, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 28, 17, 27, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 12, 15, 23, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '287f29d1-69ca-41c4-a8fd-61fa4e82ca5b', 'end_date': datetime.datetime(2010, 4, 8, 2, 32, 43), 'start_time': datetime.datetime(2017, 3, 22, 21, 5, 19), 'rate': 4, 'updated_at': datetime.datetime(2018, 9, 26, 14, 34, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '58cae226-2d67-44e1-9e91-9b022892d486', 'job_description': 'Fundamental mission-critical capacity', 'start_date': datetime.datetime(2010, 3, 31, 14, 1, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 27, 2, 13, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 28, 13, 0, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0112066a-2e4f-4c8e-ad85-b220ef76a5aa', 'end_date': datetime.datetime(2019, 7, 28, 4, 56, 37), 'start_time': datetime.datetime(2011, 9, 14, 20, 8, 45), 'rate': 2, 'updated_at': datetime.datetime(2016, 10, 9, 14, 0, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3f2c4f15-62ed-4667-8ad7-9f688955950a', 'job_description': 'Digitized clear-thinking array', 'start_date': datetime.datetime(2012, 5, 3, 20, 39, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 17, 5, 35, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 24, 16, 53, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0dbdead7-87d9-4ccb-b9e1-cd8507ee9f52', 'end_date': datetime.datetime(2015, 2, 27, 1, 16, 51), 'start_time': datetime.datetime(2017, 12, 11, 2, 35, 4), 'rate': 4, 'updated_at': datetime.datetime(2011, 7, 21, 22, 14, 17), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '07841219-b133-4d3c-b917-ca64c810170b', 'job_description': 'Cloned coherent moderator', 'start_date': datetime.datetime(2015, 5, 11, 10, 44, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 5, 2, 7, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 2, 9, 19, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '766f5528-3a0f-4f53-b6dd-fa62ef4f0503', 'end_date': datetime.datetime(2015, 4, 30, 9, 39, 56), 'start_time': datetime.datetime(2010, 12, 19, 4, 35, 18), 'rate': 3, 'updated_at': datetime.datetime(2017, 11, 22, 1, 45, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '89f9df67-df40-47bc-9bc3-df65f2e2f0b3', 'job_description': 'Ergonomic object-oriented productivity', 'start_date': datetime.datetime(2015, 5, 31, 20, 57, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 22, 2, 22, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 9, 4, 44, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '43da8265-f3ec-47be-a2ad-d108850bd5af', 'end_date': datetime.datetime(2011, 3, 21, 2, 48, 27), 'start_time': datetime.datetime(2013, 10, 12, 2, 38, 14), 'rate': 2, 'updated_at': datetime.datetime(2012, 1, 9, 23, 50, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '648bd529-7e74-4f01-9183-a4eee2c92bdc', 'job_description': 'Fundamental bifurcated orchestration', 'start_date': datetime.datetime(2015, 5, 14, 19, 50, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 30, 5, 31, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 27, 2, 41, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8b307cda-0c0a-4d61-8aa7-8c417202d03c', 'end_date': datetime.datetime(2013, 8, 6, 5, 50, 31), 'start_time': datetime.datetime(2014, 5, 29, 9, 57, 7), 'rate': 2, 'updated_at': datetime.datetime(2013, 7, 26, 17, 53, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2373ffdf-2bb3-4bf2-b0df-e0d24de75eae', 'job_description': 'Grass-roots intangible concept', 'start_date': datetime.datetime(2018, 8, 20, 6, 27, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 25, 21, 20, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 14, 4, 9, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bb190bd8-b99e-479e-bfc2-0d3ff5596d84', 'end_date': datetime.datetime(2018, 7, 20, 3, 7, 36), 'start_time': datetime.datetime(2013, 3, 22, 11, 7, 50), 'rate': 5, 'updated_at': datetime.datetime(2010, 5, 24, 9, 33, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c755960-d336-4943-be22-e209e8850591', 'job_description': 'Devolved executive process improvement', 'start_date': datetime.datetime(2010, 10, 26, 19, 56, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 10, 14, 42, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 8, 5, 56, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a34d03c-d3be-4bad-9b0f-474d475520ff', 'end_date': datetime.datetime(2011, 1, 10, 4, 9, 43), 'start_time': datetime.datetime(2015, 1, 31, 3, 33, 40), 'rate': 5, 'updated_at': datetime.datetime(2016, 9, 21, 13, 19, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b3b0897a-ea4f-4595-b8aa-00f0b4a29b96', 'job_description': 'Proactive bifurcated open architecture', 'start_date': datetime.datetime(2012, 10, 14, 10, 36, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 18, 21, 6, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 27, 6, 9, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6084c4d9-1282-4bf8-babe-8417eecfb61b', 'end_date': datetime.datetime(2012, 1, 21, 4, 44, 3), 'start_time': datetime.datetime(2012, 11, 3, 23, 9, 9), 'rate': 2, 'updated_at': datetime.datetime(2014, 1, 27, 7, 55, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6825d661-d286-428d-be47-eee25f57cf41', 'job_description': 'Digitized exuding budgetary management', 'start_date': datetime.datetime(2013, 4, 26, 18, 49, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 14, 21, 40, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 2, 9, 55, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5754b05f-8039-4ac0-8727-f5954c20d0b9', 'end_date': datetime.datetime(2015, 10, 7, 6, 40, 33), 'start_time': datetime.datetime(2018, 12, 3, 12, 7, 58), 'rate': 3, 'updated_at': datetime.datetime(2016, 11, 12, 23, 33, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fc38d33f-4cb6-4d36-93de-6b1c27703d46', 'job_description': 'Mandatory holistic structure', 'start_date': datetime.datetime(2018, 3, 25, 5, 57, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 9, 9, 24, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 31, 15, 34, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2f96e3d0-296b-4b3a-a976-bf7aca464884', 'end_date': datetime.datetime(2016, 7, 11, 16, 41, 24), 'start_time': datetime.datetime(2018, 11, 10, 18, 37, 5), 'rate': 3, 'updated_at': datetime.datetime(2012, 6, 29, 20, 4, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78ad930c-643b-4161-bdf3-621715d1eab3', 'job_description': 'Phased reciprocal synergy', 'start_date': datetime.datetime(2014, 1, 11, 11, 52, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 15, 0, 33, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 6, 13, 4, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b0d669e9-d78c-4090-ae6b-d46e083dc609', 'end_date': datetime.datetime(2017, 10, 5, 15, 48, 50), 'start_time': datetime.datetime(2018, 2, 16, 11, 41, 43), 'rate': 3, 'updated_at': datetime.datetime(2018, 8, 7, 3, 12, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3dd02d0f-2a58-4382-99a0-f4e95370dd0b', 'job_description': 'Cloned optimizing moderator', 'start_date': datetime.datetime(2014, 1, 16, 6, 58, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 31, 9, 51, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 6, 5, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '521e1726-4639-4e5f-802d-afd8f0dcbb50', 'end_date': datetime.datetime(2011, 6, 28, 23, 27, 24), 'start_time': datetime.datetime(2010, 11, 29, 17, 1, 52), 'rate': 3, 'updated_at': datetime.datetime(2011, 9, 9, 7, 26, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '068761f6-e43e-401f-91e8-91b35cceafd1', 'job_description': 'Streamlined content-based hierarchy', 'start_date': datetime.datetime(2018, 5, 11, 10, 18, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 4, 18, 23, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 29, 17, 2, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c6d62a10-7616-4ded-bee7-7dead8d51250', 'end_date': datetime.datetime(2019, 6, 30, 1, 17, 49), 'start_time': datetime.datetime(2017, 2, 8, 9, 58, 24), 'rate': 2, 'updated_at': datetime.datetime(2013, 1, 6, 18, 12, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8e2ae4e-c8cd-4573-abdc-ea0b8c409dc2', 'job_description': 'Realigned zero administration Graphic Interface', 'start_date': datetime.datetime(2016, 9, 11, 8, 28, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 28, 15, 10, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 18, 11, 1, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '35dd45e2-ff44-4108-87a4-8c357b71e95b', 'end_date': datetime.datetime(2010, 3, 17, 4, 57, 30), 'start_time': datetime.datetime(2015, 2, 28, 5, 50, 53), 'rate': 1, 'updated_at': datetime.datetime(2015, 12, 11, 0, 53, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '11780eb2-2bc6-4cb2-9f1b-4e86cfd534bf', 'job_description': 'Reverse-engineered real-time workforce', 'start_date': datetime.datetime(2019, 2, 6, 17, 3, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 7, 23, 38, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 7, 8, 56, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c270feac-1544-4740-8f0f-77f60383daed', 'end_date': datetime.datetime(2018, 12, 1, 16, 15, 37), 'start_time': datetime.datetime(2013, 9, 23, 23, 46, 52), 'rate': 3, 'updated_at': datetime.datetime(2012, 1, 10, 18, 43, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Holy See (Vatican City State)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2280992f-69dc-46a3-84dc-6ffe85c3facd', 'job_description': 'Networked dedicated focus group', 'start_date': datetime.datetime(2010, 12, 27, 21, 12, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 12, 17, 56, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 20, 17, 45, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a37a70fd-b2c8-4973-a49f-68c14a0dd376', 'end_date': datetime.datetime(2015, 2, 12, 13, 4, 10), 'start_time': datetime.datetime(2019, 1, 3, 7, 31, 3), 'rate': 4, 'updated_at': datetime.datetime(2017, 7, 14, 3, 41, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Germany', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dd0a7b86-4797-4b98-98ed-0793c6a49c04', 'job_description': 'Customer-focused client-server conglomeration', 'start_date': datetime.datetime(2011, 5, 26, 18, 37, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 25, 22, 17, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 12, 2, 24, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'efe753d3-793f-45f3-9c2b-f9eff3324c0d', 'end_date': datetime.datetime(2019, 1, 17, 14, 57, 48), 'start_time': datetime.datetime(2016, 12, 31, 13, 25, 44), 'rate': 4, 'updated_at': datetime.datetime(2014, 3, 10, 17, 9, 6), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f30b2623-6bb6-49ca-bb05-2a775a1776f9', 'job_description': 'Seamless uniform definition', 'start_date': datetime.datetime(2014, 10, 7, 18, 52, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 17, 8, 4, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 1, 14, 51, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f3cb2a6-06f7-4c2e-90b3-570dad685a89', 'end_date': datetime.datetime(2012, 4, 6, 7, 54, 43), 'start_time': datetime.datetime(2016, 3, 3, 3, 29, 10), 'rate': 5, 'updated_at': datetime.datetime(2017, 6, 3, 6, 46, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd68583f5-c75d-42ff-99d6-fdf7491a4401', 'job_description': 'Exclusive global architecture', 'start_date': datetime.datetime(2011, 9, 23, 8, 19, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 15, 9, 29, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 26, 8, 28, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0189a08c-7252-4237-8e1e-12d89fa50821', 'end_date': datetime.datetime(2012, 4, 3, 11, 29, 30), 'start_time': datetime.datetime(2018, 8, 1, 12, 45, 49), 'rate': 4, 'updated_at': datetime.datetime(2013, 1, 18, 19, 19, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bae2066c-a83f-45ee-a5c0-b5b90d38566a', 'job_description': 'Multi-channelled 3rd generation architecture', 'start_date': datetime.datetime(2012, 11, 28, 7, 1, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 3, 5, 9, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 18, 2, 2, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b8fd6367-9790-4050-82cf-07c8851fa610', 'end_date': datetime.datetime(2018, 5, 26, 7, 10, 19), 'start_time': datetime.datetime(2010, 11, 1, 20, 34, 24), 'rate': 3, 'updated_at': datetime.datetime(2015, 5, 20, 20, 44, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd52edf12-ded8-43e2-a3e4-6921ce3a956f', 'job_description': 'Polarised static task-force', 'start_date': datetime.datetime(2011, 8, 30, 2, 47, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 11, 13, 2, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 18, 18, 14, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4dfd9c6b-452d-4228-8fad-4b9b25540452', 'end_date': datetime.datetime(2012, 7, 12, 16, 5, 16), 'start_time': datetime.datetime(2018, 12, 1, 20, 7, 8), 'rate': 1, 'updated_at': datetime.datetime(2013, 6, 13, 22, 7, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Serbia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8989a43c-c028-4a38-9970-a33c31a1ae4e', 'job_description': 'Public-key leading edge hub', 'start_date': datetime.datetime(2015, 11, 1, 5, 23, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 5, 2, 38, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 9, 0, 53, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '13ee3bb5-73fa-4391-aace-1125ed7dc979', 'end_date': datetime.datetime(2013, 9, 5, 2, 34, 48), 'start_time': datetime.datetime(2015, 4, 28, 0, 39, 27), 'rate': 2, 'updated_at': datetime.datetime(2011, 11, 28, 21, 10, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '16c84527-b909-47f1-88da-3145195d7f37', 'job_description': 'Versatile coherent toolset', 'start_date': datetime.datetime(2017, 4, 3, 11, 48, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 15, 13, 24, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 23, 14, 52, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '475016f3-de84-49ee-a659-79af26e62110', 'end_date': datetime.datetime(2015, 4, 16, 6, 3, 50), 'start_time': datetime.datetime(2014, 7, 2, 20, 8, 32), 'rate': 1, 'updated_at': datetime.datetime(2012, 1, 2, 12, 34, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Czech Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '598a6584-0d5a-42bc-99b4-5936923f89d6', 'job_description': 'Multi-channelled client-server projection', 'start_date': datetime.datetime(2016, 10, 20, 16, 35, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 8, 19, 41, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 7, 16, 2, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '48b265fa-2dc9-45e2-b5bf-6620494bd69b', 'end_date': datetime.datetime(2014, 9, 27, 8, 28, 46), 'start_time': datetime.datetime(2013, 4, 27, 9, 10, 19), 'rate': 4, 'updated_at': datetime.datetime(2011, 11, 5, 9, 47, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd548a1c7-6d43-4db6-ae29-428657584726', 'job_description': 'Open-source radical service-desk', 'start_date': datetime.datetime(2017, 2, 6, 8, 2, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 20, 16, 44, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 28, 20, 12, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2d697e34-be28-454c-96ad-46d5cc9f5a31', 'end_date': datetime.datetime(2019, 7, 1, 1, 53, 45), 'start_time': datetime.datetime(2012, 1, 6, 20, 53, 7), 'rate': 5, 'updated_at': datetime.datetime(2013, 6, 21, 21, 49, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f48c8331-eea6-4fc1-b826-eb5022facbd3', 'job_description': 'Adaptive well-modulated data-warehouse', 'start_date': datetime.datetime(2012, 6, 20, 15, 18, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 31, 17, 3, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 15, 22, 30, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f4ef0ef0-131e-43aa-bd29-2400342200be', 'end_date': datetime.datetime(2018, 12, 2, 19, 15, 30), 'start_time': datetime.datetime(2013, 7, 16, 12, 30, 9), 'rate': 5, 'updated_at': datetime.datetime(2018, 1, 9, 20, 1, 41), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8af4995a-74f1-4f6a-b9ef-1f6fda1cd525', 'job_description': 'Reactive uniform website', 'start_date': datetime.datetime(2013, 7, 17, 19, 26, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 27, 3, 56, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 21, 16, 25, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4cae7a78-ebef-4db8-828d-f522f86e6554', 'end_date': datetime.datetime(2014, 9, 8, 13, 58, 6), 'start_time': datetime.datetime(2010, 11, 15, 20, 31, 42), 'rate': 3, 'updated_at': datetime.datetime(2015, 7, 8, 22, 50, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Botswana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '619b30bd-1019-4bed-8f5b-c8e9c6ffeec4', 'job_description': 'Centralized upward-trending strategy', 'start_date': datetime.datetime(2013, 6, 22, 0, 21, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 12, 18, 28, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 15, 23, 34, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '55cf79db-0253-4587-b91f-9f138531840b', 'end_date': datetime.datetime(2018, 4, 17, 0, 28, 46), 'start_time': datetime.datetime(2018, 10, 3, 23, 37, 33), 'rate': 4, 'updated_at': datetime.datetime(2010, 6, 13, 3, 29, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bb168bff-fba6-471c-9bfa-d217b7ab6f2c', 'job_description': 'Sharable reciprocal support', 'start_date': datetime.datetime(2016, 3, 29, 22, 18, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 24, 15, 34, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 10, 22, 2, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cbde5829-15d5-449d-b16e-a5f3f7170837', 'end_date': datetime.datetime(2017, 3, 29, 7, 39, 19), 'start_time': datetime.datetime(2011, 2, 1, 12, 37, 52), 'rate': 4, 'updated_at': datetime.datetime(2016, 10, 27, 2, 8, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '575b93f6-00c6-42cd-9d1d-044cf31dc072', 'job_description': 'Seamless fault-tolerant secured line', 'start_date': datetime.datetime(2017, 2, 18, 17, 55, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 11, 15, 50, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 17, 8, 5, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '083a7644-c1b4-422b-b586-7c518671cca9', 'end_date': datetime.datetime(2016, 8, 6, 10, 0, 56), 'start_time': datetime.datetime(2018, 10, 13, 10, 52, 21), 'rate': 3, 'updated_at': datetime.datetime(2019, 6, 21, 6, 19, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c63e952-139f-4304-8b12-9230561d49b6', 'job_description': 'Focused high-level policy', 'start_date': datetime.datetime(2018, 7, 9, 6, 20, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 17, 1, 25, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 25, 15, 41, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dec55864-908d-48d1-a57b-7a6d4fdc3e74', 'end_date': datetime.datetime(2011, 3, 23, 11, 31, 45), 'start_time': datetime.datetime(2010, 7, 9, 20, 36, 13), 'rate': 5, 'updated_at': datetime.datetime(2015, 6, 19, 14, 32, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eaa5cbe0-2c83-4891-b733-185abdb2f2d5', 'job_description': 'Multi-layered asynchronous extranet', 'start_date': datetime.datetime(2018, 11, 20, 7, 10, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 26, 19, 57, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 26, 12, 54, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b8c4b088-9b65-4994-b957-b4007a8b3b39', 'end_date': datetime.datetime(2013, 3, 23, 23, 3, 42), 'start_time': datetime.datetime(2015, 12, 14, 12, 45, 38), 'rate': 3, 'updated_at': datetime.datetime(2015, 6, 19, 6, 44, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c5f8b81f-0055-449f-a733-dad0cdd9b211', 'job_description': 'Stand-alone clear-thinking software', 'start_date': datetime.datetime(2016, 8, 19, 13, 13, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 20, 4, 8, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 25, 0, 9, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '92744c26-744c-4f0a-aa6b-042ef0532810', 'end_date': datetime.datetime(2015, 8, 1, 13, 38, 47), 'start_time': datetime.datetime(2019, 4, 14, 3, 12, 28), 'rate': 5, 'updated_at': datetime.datetime(2019, 4, 26, 23, 43, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c47bd895-2208-4b79-add8-c3016f13f9e3', 'job_description': 'Persevering scalable success', 'start_date': datetime.datetime(2012, 4, 27, 7, 40, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 15, 10, 56, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 8, 8, 34, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf9161be-c174-47ad-9a33-e29dee0e8a3b', 'end_date': datetime.datetime(2015, 7, 12, 10, 6, 57), 'start_time': datetime.datetime(2019, 7, 5, 12, 54, 29), 'rate': 1, 'updated_at': datetime.datetime(2013, 9, 3, 6, 59, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cf2ed073-3138-4514-8210-57bccd67df16', 'job_description': 'Focused multi-tasking time-frame', 'start_date': datetime.datetime(2018, 10, 19, 18, 56, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 10, 9, 35, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 27, 9, 45, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aee82405-574e-470f-b140-0677d8f98350', 'end_date': datetime.datetime(2018, 3, 11, 7, 38, 6), 'start_time': datetime.datetime(2015, 6, 2, 3, 46, 12), 'rate': 5, 'updated_at': datetime.datetime(2010, 1, 28, 3, 30, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f0641ef0-4cf8-4ea0-8d2c-9b19a5ee2bec', 'job_description': 'Stand-alone system-worthy paradigm', 'start_date': datetime.datetime(2010, 10, 5, 10, 10, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 7, 4, 15, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 18, 16, 17, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7d6fc4a9-ac2e-470c-aa85-89ab96486fae', 'end_date': datetime.datetime(2012, 4, 2, 16, 59, 25), 'start_time': datetime.datetime(2019, 3, 10, 16, 4, 6), 'rate': 5, 'updated_at': datetime.datetime(2010, 6, 30, 17, 11, 57), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '885df73b-49da-4707-a5a2-cfa5ea53aa61', 'job_description': 'Fully-configurable secondary implementation', 'start_date': datetime.datetime(2014, 11, 30, 13, 35, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 29, 1, 53, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 29, 13, 39, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '342ba544-7441-4373-b998-f52502449be3', 'end_date': datetime.datetime(2012, 4, 7, 9, 39, 28), 'start_time': datetime.datetime(2016, 11, 17, 6, 47, 9), 'rate': 3, 'updated_at': datetime.datetime(2018, 7, 6, 14, 28, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7d34e219-b3c7-4255-a4d9-c3e5f70f6c0f', 'job_description': 'Open-architected bi-directional knowledge base', 'start_date': datetime.datetime(2013, 2, 26, 4, 39, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 22, 9, 28, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 14, 18, 52, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6564b994-0405-49ce-beca-f3ae77bb2d0e', 'end_date': datetime.datetime(2014, 7, 21, 3, 7, 34), 'start_time': datetime.datetime(2013, 1, 10, 3, 45, 49), 'rate': 3, 'updated_at': datetime.datetime(2018, 3, 20, 20, 52, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2dfbc02b-e5ea-4ba3-b548-947f6df3d669', 'job_description': 'Devolved multi-state functionalities', 'start_date': datetime.datetime(2013, 4, 13, 2, 53, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 23, 1, 38, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 12, 19, 4, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '37d4b7a5-673b-4234-9c12-9f457ceab869', 'end_date': datetime.datetime(2013, 9, 12, 0, 4, 13), 'start_time': datetime.datetime(2010, 12, 20, 10, 14, 19), 'rate': 3, 'updated_at': datetime.datetime(2017, 12, 9, 5, 42, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b21edb5d-cbdb-4633-9f95-e328729827a7', 'job_description': 'Up-sized directional archive', 'start_date': datetime.datetime(2013, 3, 31, 7, 57, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 13, 5, 41, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 21, 0, 5, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b0e1379a-2ead-4264-9655-757771decc2b', 'end_date': datetime.datetime(2019, 9, 23, 22, 9, 49), 'start_time': datetime.datetime(2018, 5, 7, 9, 31, 17), 'rate': 1, 'updated_at': datetime.datetime(2018, 11, 1, 18, 31, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '61c29488-312b-4146-83e8-7c5eee0ebfe9', 'job_description': 'Face to face bandwidth-monitored implementation', 'start_date': datetime.datetime(2015, 5, 7, 17, 16, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 9, 16, 7, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 26, 11, 5, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea8896fd-ffa7-4fd6-b9fc-fd69431377f3', 'end_date': datetime.datetime(2019, 8, 9, 21, 38, 38), 'start_time': datetime.datetime(2018, 11, 4, 8, 23, 4), 'rate': 2, 'updated_at': datetime.datetime(2017, 1, 16, 23, 53, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c7af1bf6-a1c3-456e-bdbe-78b4c699baa0', 'job_description': 'Right-sized asynchronous standardization', 'start_date': datetime.datetime(2013, 6, 13, 13, 58, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 17, 0, 23, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 6, 11, 49, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f7200179-7316-4a86-b65c-b1ce65896e6d', 'end_date': datetime.datetime(2015, 1, 30, 15, 43, 14), 'start_time': datetime.datetime(2018, 11, 14, 8, 47, 43), 'rate': 5, 'updated_at': datetime.datetime(2014, 4, 23, 18, 16, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '868c92ef-b6e7-454a-a0b4-3087a2ec80e1', 'job_description': 'Down-sized interactive firmware', 'start_date': datetime.datetime(2012, 4, 23, 17, 42, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 5, 9, 2, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 21, 9, 11, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8ad03047-5e0d-414b-9257-293f68dc7d06', 'end_date': datetime.datetime(2014, 8, 4, 23, 12, 5), 'start_time': datetime.datetime(2014, 12, 27, 18, 35, 45), 'rate': 1, 'updated_at': datetime.datetime(2014, 7, 19, 13, 55, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b46d4d09-fc62-45ea-878f-558eadfa3e13', 'job_description': 'Cloned needs-based utilisation', 'start_date': datetime.datetime(2015, 6, 21, 14, 19, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 24, 5, 39, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 24, 20, 38, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '96c7fa63-7808-4edc-a5fe-aa909c22743d', 'end_date': datetime.datetime(2012, 5, 13, 19, 4, 37), 'start_time': datetime.datetime(2018, 2, 3, 18, 23, 24), 'rate': 4, 'updated_at': datetime.datetime(2018, 12, 18, 21, 21, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ac44c805-6d7e-4dfa-a74d-636efa8e43a1', 'job_description': 'Adaptive system-worthy system engine', 'start_date': datetime.datetime(2017, 5, 7, 14, 47, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 27, 9, 41, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 30, 16, 27, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4277a8fc-e80c-4033-857d-76eda6ec5bbd', 'end_date': datetime.datetime(2014, 8, 28, 22, 37, 11), 'start_time': datetime.datetime(2011, 3, 26, 21, 48, 19), 'rate': 5, 'updated_at': datetime.datetime(2012, 9, 25, 9, 19, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Bermuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '635b5e09-afde-43fa-bfc4-2c8122e2684b', 'job_description': 'Self-enabling motivating capacity', 'start_date': datetime.datetime(2019, 9, 10, 3, 19, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 3, 2, 18, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 16, 9, 28, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3a5df9a3-71f1-4432-b143-6369f8077e19', 'end_date': datetime.datetime(2017, 5, 6, 5, 36, 16), 'start_time': datetime.datetime(2014, 10, 4, 21, 56, 38), 'rate': 2, 'updated_at': datetime.datetime(2011, 5, 7, 3, 36, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Heard Island and McDonald Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5e57b1cd-71af-42e8-a325-223cb6d96746', 'job_description': 'Proactive dynamic database', 'start_date': datetime.datetime(2017, 2, 13, 18, 20, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 25, 11, 30, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 7, 23, 25, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '856290a2-6281-4a08-8faa-d22406b7cc3c', 'end_date': datetime.datetime(2017, 10, 22, 8, 2, 52), 'start_time': datetime.datetime(2015, 8, 11, 19, 4, 42), 'rate': 4, 'updated_at': datetime.datetime(2012, 7, 23, 8, 55, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Martinique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a3140ce9-e94c-44d8-899a-1c9d811f3b17', 'job_description': 'Vision-oriented stable time-frame', 'start_date': datetime.datetime(2019, 1, 29, 10, 21, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 30, 9, 44, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 31, 7, 59, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '917b53cf-6d3c-4da6-ab19-3e1e804cf851', 'end_date': datetime.datetime(2014, 12, 25, 17, 11, 59), 'start_time': datetime.datetime(2010, 9, 13, 19, 33, 23), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 23, 6, 46, 15), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a4e5dbc1-db14-4c05-aed3-9077ed0a7e19', 'job_description': 'Profound zero defect portal', 'start_date': datetime.datetime(2018, 7, 30, 21, 26, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 5, 13, 46, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 3, 21, 13, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '94fe91d9-8556-4cc1-85fb-e3cbe6b211b3', 'end_date': datetime.datetime(2013, 12, 22, 23, 19, 33), 'start_time': datetime.datetime(2011, 12, 10, 21, 7, 45), 'rate': 1, 'updated_at': datetime.datetime(2019, 5, 29, 14, 3, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7415daee-1255-4579-a8f9-49ae84411b4f', 'job_description': 'Robust radical strategy', 'start_date': datetime.datetime(2016, 2, 6, 3, 15, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 12, 8, 31, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 10, 17, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8bcc985e-0c6c-45aa-882e-7444e2184b8e', 'end_date': datetime.datetime(2019, 10, 26, 11, 43, 5), 'start_time': datetime.datetime(2018, 6, 23, 22, 6, 32), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 25, 14, 0, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Belgium', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1e6400d1-a38c-4772-ad70-efc16c5f6c98', 'job_description': 'Optimized heuristic service-desk', 'start_date': datetime.datetime(2010, 7, 10, 5, 26, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 26, 15, 5, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 13, 22, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a66e8178-8f81-43df-b79c-f64625682000', 'end_date': datetime.datetime(2012, 6, 4, 1, 11, 2), 'start_time': datetime.datetime(2016, 5, 11, 12, 37, 56), 'rate': 3, 'updated_at': datetime.datetime(2017, 6, 23, 6, 35, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5fa9d146-6ca4-4b6a-af59-3aaaaaf99108', 'job_description': 'Integrated bandwidth-monitored superstructure', 'start_date': datetime.datetime(2018, 1, 12, 5, 16, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 30, 15, 41, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 13, 6, 35, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '63a21c3d-df2f-48cb-81c4-f7c81f987bb9', 'end_date': datetime.datetime(2010, 3, 12, 19, 22, 28), 'start_time': datetime.datetime(2018, 10, 26, 4, 55, 25), 'rate': 4, 'updated_at': datetime.datetime(2018, 8, 4, 12, 46, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '498d10cd-05df-474b-af60-7c6df4c267f7', 'job_description': 'Synchronised well-modulated focus group', 'start_date': datetime.datetime(2016, 7, 13, 2, 30, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 2, 10, 31, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 11, 22, 43, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7cc780f2-fc57-46cb-b903-4817bb66aca4', 'end_date': datetime.datetime(2017, 1, 22, 21, 40, 27), 'start_time': datetime.datetime(2015, 11, 10, 22, 38, 43), 'rate': 2, 'updated_at': datetime.datetime(2015, 10, 1, 15, 5, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b8252a93-71b6-4084-8e27-0a39df02ae27', 'job_description': 'Cloned foreground focus group', 'start_date': datetime.datetime(2018, 8, 1, 6, 52, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 7, 13, 16, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 22, 20, 41, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f577bce-1620-40d5-beec-358c16ab87ee', 'end_date': datetime.datetime(2015, 11, 21, 18, 6, 39), 'start_time': datetime.datetime(2017, 3, 4, 5, 29, 5), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 11, 5, 48, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8c231d40-e95f-449b-ba93-dbe3d3d653f0', 'job_description': 'Public-key user-facing architecture', 'start_date': datetime.datetime(2018, 3, 23, 18, 18, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 28, 15, 23, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 8, 3, 31, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '657512d7-dbe4-456f-9c80-f369bb61362c', 'end_date': datetime.datetime(2012, 2, 21, 20, 47, 18), 'start_time': datetime.datetime(2018, 7, 20, 20, 12, 24), 'rate': 1, 'updated_at': datetime.datetime(2011, 3, 31, 16, 1, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0b8fc7b2-a634-4f6c-81b8-eea2b647411d', 'job_description': 'Up-sized holistic task-force', 'start_date': datetime.datetime(2015, 2, 24, 15, 50, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 22, 18, 38, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 17, 19, 50, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '96e35179-bbb6-4a25-a5f9-86ebf512fed4', 'end_date': datetime.datetime(2010, 12, 22, 6, 25, 32), 'start_time': datetime.datetime(2014, 7, 28, 5, 6, 52), 'rate': 4, 'updated_at': datetime.datetime(2010, 6, 8, 5, 33, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5438d660-8e62-4ae8-8c91-548b3b8dee37', 'job_description': 'Advanced value-added monitoring', 'start_date': datetime.datetime(2018, 9, 13, 13, 41, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 6, 0, 1, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 13, 17, 46, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '86df2737-a0c9-4e57-b1f2-c9d9553eab35', 'end_date': datetime.datetime(2016, 2, 28, 5, 39, 46), 'start_time': datetime.datetime(2019, 8, 11, 19, 19, 35), 'rate': 4, 'updated_at': datetime.datetime(2018, 10, 19, 12, 23, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4ec8804e-513d-4d11-9099-9d74af9510df', 'job_description': 'Extended human-resource benchmark', 'start_date': datetime.datetime(2013, 5, 18, 14, 35, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 13, 14, 24, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 8, 0, 38, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fba9a4b2-547a-4836-8530-282959bd4624', 'end_date': datetime.datetime(2012, 10, 7, 2, 8, 5), 'start_time': datetime.datetime(2010, 9, 6, 19, 7, 15), 'rate': 3, 'updated_at': datetime.datetime(2017, 5, 8, 17, 33, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Peru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b9fec3d9-aab9-4e4b-8af7-076e29b80b08', 'job_description': 'Automated bi-directional methodology', 'start_date': datetime.datetime(2013, 6, 15, 7, 12, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 1, 18, 55, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 28, 14, 55, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a21e3404-5385-4cac-ac0e-c365d5df129a', 'end_date': datetime.datetime(2013, 7, 3, 3, 37, 37), 'start_time': datetime.datetime(2011, 9, 19, 6, 56, 58), 'rate': 1, 'updated_at': datetime.datetime(2014, 7, 31, 23, 19, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': '57fdb796-bbc2-4d86-98a3-75ca98da9ab4', 'job_description': 'Ameliorated 3rd generation paradigm', 'start_date': datetime.datetime(2010, 5, 28, 7, 4, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 5, 23, 38, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 15, 4, 43, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'affdcd6d-0abb-4765-9b63-8b48eb62d44e', 'end_date': datetime.datetime(2015, 2, 6, 20, 7, 29), 'start_time': datetime.datetime(2018, 8, 31, 15, 53, 24), 'rate': 4, 'updated_at': datetime.datetime(2010, 8, 6, 0, 19, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': '629f5429-f31e-4e46-a19c-7b2834d3b41a', 'job_description': 'Operative motivating success', 'start_date': datetime.datetime(2018, 3, 13, 7, 55, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 29, 1, 53, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 22, 6, 12, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '91f24b48-f495-4419-95bb-365867e0b58e', 'end_date': datetime.datetime(2019, 9, 15, 4, 0, 23), 'start_time': datetime.datetime(2011, 6, 29, 19, 6, 47), 'rate': 4, 'updated_at': datetime.datetime(2015, 6, 23, 13, 45, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Isle of Man', 'special_note': 'thanks'}
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{'_id': '42e4be9c-ed79-463f-a5d8-874b635af33d', 'job_description': 'Implemented optimizing contingency', 'start_date': datetime.datetime(2010, 3, 31, 11, 4, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 3, 5, 48, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 22, 8, 46, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '38b53cca-c399-4dd9-9558-4871d2a1aef0', 'end_date': datetime.datetime(2015, 11, 10, 22, 33, 3), 'start_time': datetime.datetime(2018, 11, 7, 9, 28, 26), 'rate': 2, 'updated_at': datetime.datetime(2017, 3, 6, 11, 11, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Tuvalu', 'special_note': 'thanks'}
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{'_id': '82131704-a607-4de1-a7b9-4df1310e58d6', 'job_description': 'Public-key secondary knowledge user', 'start_date': datetime.datetime(2016, 9, 14, 16, 45, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 10, 20, 35, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 22, 19, 26, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '00f56c75-0e06-4c49-a55b-e124114d01f3', 'end_date': datetime.datetime(2018, 12, 20, 18, 57, 28), 'start_time': datetime.datetime(2018, 8, 25, 20, 9, 48), 'rate': 2, 'updated_at': datetime.datetime(2012, 5, 14, 22, 19, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
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{'_id': '7560b334-0547-4f60-9942-09394f96129d', 'job_description': 'Mandatory local superstructure', 'start_date': datetime.datetime(2010, 5, 9, 12, 44, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 21, 18, 23, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 27, 18, 39, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '529cdd7d-1cea-4f4a-a768-da3ce6454972', 'end_date': datetime.datetime(2014, 11, 29, 4, 48, 47), 'start_time': datetime.datetime(2019, 7, 19, 22, 59, 48), 'rate': 1, 'updated_at': datetime.datetime(2014, 7, 3, 16, 45, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f1a060c0-854d-46f4-9727-6bf80b4cdbbd', 'job_description': 'Self-enabling bi-directional open system', 'start_date': datetime.datetime(2016, 10, 20, 13, 1, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 24, 2, 41, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 11, 6, 13, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cc6e1925-c73f-417a-9bc8-9ceedab23889', 'end_date': datetime.datetime(2017, 11, 23, 3, 19, 29), 'start_time': datetime.datetime(2013, 2, 8, 19, 43, 8), 'rate': 1, 'updated_at': datetime.datetime(2010, 3, 7, 21, 55, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': '6d1e189e-d697-49ee-add3-3b256b6209b6', 'job_description': 'Reduced methodical conglomeration', 'start_date': datetime.datetime(2018, 1, 31, 10, 29, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 14, 21, 3, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 13, 4, 42, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ebb929c5-fa6e-4b39-bf63-ef50133cf71e', 'end_date': datetime.datetime(2014, 3, 8, 0, 42, 52), 'start_time': datetime.datetime(2016, 3, 4, 15, 54), 'rate': 1, 'updated_at': datetime.datetime(2015, 10, 23, 10, 58, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c57a074-c302-4f6b-b410-8ae743d6d77a', 'job_description': 'Realigned exuding artificial intelligence', 'start_date': datetime.datetime(2013, 9, 29, 22, 26, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 30, 12, 21, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 22, 4, 31, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e4891622-619f-413e-bcfd-7c28fffb4034', 'end_date': datetime.datetime(2014, 7, 19, 15, 3, 29), 'start_time': datetime.datetime(2017, 12, 2, 6, 23, 20), 'rate': 5, 'updated_at': datetime.datetime(2012, 10, 19, 23, 49, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4c81d98f-539d-441a-9382-9c86305f6173', 'job_description': 'Robust non-volatile productivity', 'start_date': datetime.datetime(2012, 2, 8, 18, 50, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 19, 0, 14, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 11, 16, 47, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '512a55fc-858a-4f24-b82f-4cb53f9d8cbd', 'end_date': datetime.datetime(2013, 5, 22, 23, 13, 48), 'start_time': datetime.datetime(2013, 2, 6, 11, 16, 5), 'rate': 5, 'updated_at': datetime.datetime(2017, 5, 23, 14, 48, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '612fa427-8a3f-4684-a324-88cb5f2fb04c', 'job_description': 'Re-contextualized multi-state parallelism', 'start_date': datetime.datetime(2013, 5, 19, 19, 26, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 16, 1, 44, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 12, 20, 41, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '810bc82a-1b49-43c5-8f76-9a68d022f8da', 'end_date': datetime.datetime(2014, 7, 30, 17, 28, 7), 'start_time': datetime.datetime(2017, 2, 15, 10, 41, 50), 'rate': 5, 'updated_at': datetime.datetime(2012, 8, 19, 5, 19, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Montserrat', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a9067cc3-ff35-4779-9fdc-4460e2ae83d2', 'job_description': 'Polarised logistical moratorium', 'start_date': datetime.datetime(2010, 7, 25, 22, 29, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 14, 5, 22, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 14, 2, 59, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5a0cf075-7581-427f-8e00-6e7f50b26f13', 'end_date': datetime.datetime(2014, 5, 2, 20, 1, 36), 'start_time': datetime.datetime(2013, 7, 3, 11, 39, 10), 'rate': 1, 'updated_at': datetime.datetime(2019, 7, 30, 5, 43, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '58f28ae3-c640-44fb-972f-527362367293', 'job_description': 'Cross-platform fresh-thinking archive', 'start_date': datetime.datetime(2014, 11, 14, 8, 56, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 8, 3, 53, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 24, 14, 2, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3412a33c-6c41-4280-aa22-07260820d264', 'end_date': datetime.datetime(2012, 1, 29, 10, 2, 8), 'start_time': datetime.datetime(2012, 10, 21, 19, 40, 31), 'rate': 3, 'updated_at': datetime.datetime(2015, 5, 8, 21, 33, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '458dd0b4-4cc3-424c-93ec-027d9c2bfd53', 'job_description': 'Implemented bandwidth-monitored info-mediaries', 'start_date': datetime.datetime(2018, 8, 5, 15, 37, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 6, 7, 49, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 17, 5, 14, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '931ae0b1-1888-4fe2-97df-a177a2a14eda', 'end_date': datetime.datetime(2013, 12, 18, 0, 11, 47), 'start_time': datetime.datetime(2014, 5, 14, 20, 9, 16), 'rate': 3, 'updated_at': datetime.datetime(2010, 7, 3, 8, 1, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ac61ddc7-2ef4-4860-a88c-f71934696f18', 'job_description': 'Progressive motivating Graphic Interface', 'start_date': datetime.datetime(2017, 10, 6, 4, 41, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 11, 19, 3, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 30, 23, 36, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b9fc0ec9-ea95-4009-b08c-f223f85185fb', 'end_date': datetime.datetime(2019, 8, 17, 0, 8, 20), 'start_time': datetime.datetime(2019, 1, 28, 17, 20, 15), 'rate': 2, 'updated_at': datetime.datetime(2017, 11, 4, 13, 36, 54), 'job_title': 'CoffeeMaker', 'service_id': 'New Caledonia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ebf5d42b-e20d-4486-9671-08620202f02e', 'job_description': 'Implemented client-driven application', 'start_date': datetime.datetime(2016, 7, 9, 16, 17, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 25, 18, 6, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 13, 12, 13, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '52f3824b-29f4-4e66-aa57-57d1280cc547', 'end_date': datetime.datetime(2017, 12, 15, 18, 55, 35), 'start_time': datetime.datetime(2018, 12, 14, 0, 20, 13), 'rate': 4, 'updated_at': datetime.datetime(2012, 11, 23, 18, 41, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b5810529-e560-42ce-9032-1f8cb0d1f3ce', 'job_description': 'Fundamental dynamic strategy', 'start_date': datetime.datetime(2012, 11, 16, 3, 19, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 13, 5, 34, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 5, 3, 6, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3e920b34-860c-4966-a162-263aedfbf858', 'end_date': datetime.datetime(2018, 6, 18, 21, 52, 38), 'start_time': datetime.datetime(2015, 11, 6, 15, 10, 39), 'rate': 3, 'updated_at': datetime.datetime(2018, 6, 9, 19, 8, 27), 'job_title': 'CoffeeMaker', 'service_id': 'India', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '822efff7-4748-449f-a4a2-5464012f63a8', 'job_description': 'Secured maximized help-desk', 'start_date': datetime.datetime(2019, 6, 29, 1, 58, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 5, 4, 55, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 2, 19, 46, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '474858c3-a278-4754-b73e-9d780e870f90', 'end_date': datetime.datetime(2016, 11, 22, 21, 24, 53), 'start_time': datetime.datetime(2019, 11, 5, 15, 28, 45), 'rate': 4, 'updated_at': datetime.datetime(2011, 9, 20, 5, 50, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'afd0f958-bbb0-413b-80b1-4f1b9c600315', 'job_description': 'Compatible directional toolset', 'start_date': datetime.datetime(2019, 4, 4, 18, 48, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 6, 21, 20, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 12, 16, 23, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ff5c2ca4-bb81-491a-a78c-3d620fe701ab', 'end_date': datetime.datetime(2017, 1, 15, 6, 52, 2), 'start_time': datetime.datetime(2018, 2, 10, 3, 50, 8), 'rate': 1, 'updated_at': datetime.datetime(2011, 3, 3, 0, 39, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Puerto Rico', 'special_note': 'thanks'}
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{'_id': 'ca645340-cfc6-4acb-89bd-a4e5eaf79668', 'job_description': 'Open-source high-level installation', 'start_date': datetime.datetime(2019, 2, 22, 15, 59, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 22, 0, 20, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 22, 8, 51, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0f04452-3b8f-4d7e-8b0b-8aa54fc509e1', 'end_date': datetime.datetime(2014, 9, 27, 2, 12, 42), 'start_time': datetime.datetime(2014, 8, 7, 4, 39, 54), 'rate': 1, 'updated_at': datetime.datetime(2016, 9, 7, 1, 29, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': '93221fe3-61f3-4859-b370-dc1089b33ccf', 'job_description': 'Future-proofed tangible knowledge user', 'start_date': datetime.datetime(2017, 5, 29, 22, 51, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 13, 22, 39, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 8, 9, 22, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e366d064-df0a-4c3b-a4fa-018c0d62188d', 'end_date': datetime.datetime(2010, 11, 19, 16, 48, 18), 'start_time': datetime.datetime(2013, 4, 18, 20, 9, 26), 'rate': 5, 'updated_at': datetime.datetime(2011, 3, 21, 2, 42, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e932e99c-8f73-4155-bb63-30b84772654a', 'job_description': 'Operative heuristic synergy', 'start_date': datetime.datetime(2017, 10, 18, 9, 46, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 1, 14, 26, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 6, 13, 39, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1e59b630-bc72-4773-8919-29e5b47d9256', 'end_date': datetime.datetime(2014, 5, 26, 19, 4, 28), 'start_time': datetime.datetime(2011, 7, 2, 0, 7, 8), 'rate': 4, 'updated_at': datetime.datetime(2012, 10, 21, 7, 27, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '713270ff-d0eb-4ff1-8026-b031092c2308', 'job_description': 'Vision-oriented impactful leverage', 'start_date': datetime.datetime(2010, 8, 20, 9, 34, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 7, 16, 46, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 8, 9, 51, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fddbb7d3-2837-42de-8c1a-419e829d79d5', 'end_date': datetime.datetime(2018, 3, 4, 15, 39, 44), 'start_time': datetime.datetime(2015, 1, 22, 6, 14, 11), 'rate': 4, 'updated_at': datetime.datetime(2015, 12, 31, 11, 39, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '32157e73-0772-41c1-a8aa-c00fe83f26fe', 'job_description': 'Phased leading edge info-mediaries', 'start_date': datetime.datetime(2016, 8, 19, 7, 58, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 23, 17, 58, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 10, 3, 19, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44a4959e-f39c-40ae-b491-59c5d7291a0c', 'end_date': datetime.datetime(2010, 9, 15, 20, 42, 13), 'start_time': datetime.datetime(2019, 9, 9, 5, 58, 14), 'rate': 5, 'updated_at': datetime.datetime(2018, 11, 7, 7, 48, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '84125b8a-b9d0-44d8-8e59-6a17b9ba66d7', 'job_description': 'Pre-emptive impactful workforce', 'start_date': datetime.datetime(2018, 1, 22, 2, 10, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 29, 6, 47, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 14, 3, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'effe3ac7-4fa8-43d9-8e16-9af26892cad8', 'end_date': datetime.datetime(2017, 6, 29, 7, 57, 52), 'start_time': datetime.datetime(2013, 10, 31, 12, 49), 'rate': 1, 'updated_at': datetime.datetime(2012, 5, 3, 8, 8, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5be7cf99-a2f3-4a2d-b9e8-c96335c752b7', 'job_description': 'Proactive discrete benchmark', 'start_date': datetime.datetime(2014, 7, 13, 23, 49, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 5, 2, 33, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 3, 20, 31, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5b7317eb-4bce-4944-9a83-3a82a55f8856', 'end_date': datetime.datetime(2014, 11, 7, 4, 52, 35), 'start_time': datetime.datetime(2017, 9, 27, 17, 6, 56), 'rate': 4, 'updated_at': datetime.datetime(2015, 7, 17, 3, 1, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fb746d92-5c11-4f6f-940a-ecb9b40f4538', 'job_description': 'Object-based holistic collaboration', 'start_date': datetime.datetime(2014, 6, 9, 4, 30, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 11, 3, 36, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 26, 3, 20, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '49f1e78f-0a44-4652-88d5-574b5ec70029', 'end_date': datetime.datetime(2015, 6, 9, 22, 13, 2), 'start_time': datetime.datetime(2018, 8, 31, 15, 32, 34), 'rate': 3, 'updated_at': datetime.datetime(2010, 2, 1, 11, 33, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f26ead96-105f-4def-ac85-0df350c3635d', 'job_description': 'Versatile even-keeled help-desk', 'start_date': datetime.datetime(2017, 12, 23, 6, 52, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 28, 12, 10, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 31, 7, 6, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c7710af9-1bd3-4fec-a28b-81a2c4ebb7cc', 'end_date': datetime.datetime(2015, 12, 6, 13, 24, 42), 'start_time': datetime.datetime(2017, 9, 30, 4, 12, 7), 'rate': 2, 'updated_at': datetime.datetime(2015, 8, 15, 4, 4, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd9b6f793-110a-4286-9dd7-7e9e69b81427', 'job_description': 'Compatible 24/7 adapter', 'start_date': datetime.datetime(2014, 2, 17, 1, 35, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 29, 16, 32, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 10, 11, 27, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8f6e557a-564d-4a10-bbc0-40149095b4e9', 'end_date': datetime.datetime(2013, 12, 21, 12, 47, 46), 'start_time': datetime.datetime(2017, 4, 21, 20, 52), 'rate': 5, 'updated_at': datetime.datetime(2010, 10, 5, 21, 39, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dab4becf-d025-4e26-8c11-0b69b8a9a114', 'job_description': 'Re-engineered interactive matrix', 'start_date': datetime.datetime(2016, 1, 12, 10, 55, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 4, 4, 34, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 29, 15, 11, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6ec1a0c2-acaa-4362-880a-90028caa9b2a', 'end_date': datetime.datetime(2012, 2, 3, 23, 8, 14), 'start_time': datetime.datetime(2017, 9, 27, 13, 46, 24), 'rate': 1, 'updated_at': datetime.datetime(2018, 5, 31, 15, 28, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ce39f748-8b3e-4757-b8fc-5eb9a1a7c773', 'job_description': 'Configurable assymetric open architecture', 'start_date': datetime.datetime(2013, 1, 15, 21, 15, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 2, 4, 54, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 25, 1, 24, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c5507433-ddb0-4d84-984c-8536ba26cdb2', 'end_date': datetime.datetime(2019, 3, 25, 14, 31, 8), 'start_time': datetime.datetime(2017, 8, 8, 20, 43, 42), 'rate': 5, 'updated_at': datetime.datetime(2011, 6, 7, 21, 36, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Antarctica (the territory South of 60 deg S)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '447fbcde-7d0a-40ad-8936-7b5d7ed652ca', 'job_description': 'Advanced system-worthy firmware', 'start_date': datetime.datetime(2011, 2, 19, 18, 24, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 29, 17, 53, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 24, 1, 3, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '89cf2794-ae89-47f4-995e-8f63ac80e49d', 'end_date': datetime.datetime(2015, 2, 28, 17, 49, 43), 'start_time': datetime.datetime(2010, 7, 20, 10, 22, 7), 'rate': 3, 'updated_at': datetime.datetime(2011, 7, 21, 2, 2, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c15f4580-2d94-41b8-93ec-3cb83b28ae36', 'job_description': 'Multi-tiered systematic data-warehouse', 'start_date': datetime.datetime(2014, 3, 15, 10, 57, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 3, 1, 14, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 22, 9, 43, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c9dd4557-2dde-406a-8365-7406d0876b1b', 'end_date': datetime.datetime(2019, 2, 4, 7, 41, 37), 'start_time': datetime.datetime(2018, 3, 16, 6, 45, 15), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 9, 15, 25, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eb3c60f3-460a-461f-83e4-977f1c8b56e1', 'job_description': 'Synergistic foreground implementation', 'start_date': datetime.datetime(2018, 9, 12, 3, 44, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 22, 0, 19, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 11, 19, 8, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ac50752-e7d5-4f76-91ad-427fa9d42488', 'end_date': datetime.datetime(2013, 9, 8, 22, 6, 24), 'start_time': datetime.datetime(2015, 2, 5, 15, 38, 26), 'rate': 1, 'updated_at': datetime.datetime(2012, 11, 13, 2, 20, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd8a2a85c-dd10-4b33-b460-dfd6537413ee', 'job_description': 'Ergonomic reciprocal matrix', 'start_date': datetime.datetime(2017, 3, 31, 9, 18, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 22, 4, 0, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 16, 7, 28, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bcb249b4-a746-4be9-ab1f-dd292e1a6e17', 'end_date': datetime.datetime(2010, 4, 25, 19, 0, 58), 'start_time': datetime.datetime(2019, 1, 21, 17, 1, 47), 'rate': 2, 'updated_at': datetime.datetime(2017, 3, 31, 7, 36, 43), 'job_title': 'CoffeeMaker', 'service_id': 'South Africa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '08acce6a-4323-4d87-835c-e6dde1e07eb7', 'job_description': 'Enterprise-wide responsive orchestration', 'start_date': datetime.datetime(2011, 9, 25, 6, 46, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 14, 2, 16, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 27, 7, 53, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2db367cf-eddb-43c8-8865-05c5a6b8a939', 'end_date': datetime.datetime(2014, 6, 10, 19, 17, 22), 'start_time': datetime.datetime(2015, 8, 13, 22, 12, 43), 'rate': 1, 'updated_at': datetime.datetime(2014, 8, 22, 9, 13, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '50fb5750-9708-492d-9dbc-4d3ba9c75918', 'job_description': 'Multi-layered context-sensitive policy', 'start_date': datetime.datetime(2019, 5, 26, 18, 22, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 17, 7, 53, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 6, 2, 9, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'add0c622-0ca0-4340-83b1-fcad27a002b2', 'end_date': datetime.datetime(2012, 4, 8, 17, 22), 'start_time': datetime.datetime(2010, 2, 3, 17, 1, 21), 'rate': 2, 'updated_at': datetime.datetime(2011, 10, 22, 15, 10, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1a5eda36-a816-439d-a81e-56a2627f5bf6', 'job_description': 'Managed object-oriented firmware', 'start_date': datetime.datetime(2019, 11, 27, 17, 2, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 14, 7, 31, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 8, 21, 42, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2fc752c0-a25f-490b-9ca2-622a8e21aa6d', 'end_date': datetime.datetime(2016, 1, 9, 7, 57, 38), 'start_time': datetime.datetime(2012, 12, 9, 18, 42, 1), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 15, 11, 0, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a935fc23-1bdb-410d-8a67-6759d06a237a', 'job_description': 'Focused mobile moratorium', 'start_date': datetime.datetime(2017, 1, 7, 6, 2, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 16, 7, 35, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 7, 2, 34, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '34685836-9f6d-4d27-b7e4-12be4abcce8f', 'end_date': datetime.datetime(2010, 12, 21, 23, 33, 50), 'start_time': datetime.datetime(2019, 10, 13, 1, 9, 10), 'rate': 5, 'updated_at': datetime.datetime(2016, 6, 18, 14, 19, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0d3100f6-a1db-49ed-ad30-6b0a6aa33fb7', 'job_description': 'User-centric multi-state open system', 'start_date': datetime.datetime(2010, 7, 5, 12, 4, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 26, 6, 53, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 12, 17, 18, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e048486-4b2e-494b-81ee-4cdad4c530a4', 'end_date': datetime.datetime(2016, 9, 6, 17, 33, 23), 'start_time': datetime.datetime(2018, 9, 1, 1, 29, 7), 'rate': 5, 'updated_at': datetime.datetime(2015, 10, 29, 20, 50, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3af5cb88-41f4-4289-8222-889ca6891dac', 'job_description': 'Cloned interactive collaboration', 'start_date': datetime.datetime(2018, 10, 9, 18, 4, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 24, 3, 46, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 4, 11, 53, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2386311c-0cbd-4a81-81d6-e8e3904f4388', 'end_date': datetime.datetime(2019, 2, 5, 10, 38, 21), 'start_time': datetime.datetime(2017, 2, 28, 12, 30, 37), 'rate': 1, 'updated_at': datetime.datetime(2016, 1, 20, 19, 3, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a2f7b787-33f4-448e-923f-74304b3a0804', 'job_description': 'Multi-lateral discrete knowledge base', 'start_date': datetime.datetime(2014, 9, 19, 5, 12, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 16, 15, 30, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 15, 6, 1, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a2a799f5-b319-487d-8e41-9e1ba8aaf27e', 'end_date': datetime.datetime(2018, 2, 17, 4, 49, 9), 'start_time': datetime.datetime(2015, 2, 4, 5, 29, 6), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 3, 18, 1, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '75b65c3c-92d7-4b2b-adee-30f02b51cffd', 'job_description': 'Automated next generation moratorium', 'start_date': datetime.datetime(2018, 3, 23, 7, 7, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 25, 3, 35, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 2, 7, 49, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c333ff6-5a80-46e5-8da1-53dbe03c3d9e', 'end_date': datetime.datetime(2015, 3, 25, 10, 51, 12), 'start_time': datetime.datetime(2018, 1, 22, 0, 7, 41), 'rate': 2, 'updated_at': datetime.datetime(2013, 6, 10, 16, 45, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ef0ba82e-4e69-466c-86bb-1e48625d11ba', 'job_description': 'Devolved interactive policy', 'start_date': datetime.datetime(2013, 5, 3, 4, 43, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 28, 22, 20, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 10, 18, 38, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83bfc304-517f-4560-b006-5937549f8b42', 'end_date': datetime.datetime(2013, 1, 18, 15, 17), 'start_time': datetime.datetime(2019, 11, 7, 14, 57, 35), 'rate': 5, 'updated_at': datetime.datetime(2012, 11, 2, 4, 49, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2864b283-b374-4ff8-88cb-265069693f8e', 'job_description': 'Ameliorated bifurcated data-warehouse', 'start_date': datetime.datetime(2016, 2, 4, 5, 17, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 9, 7, 3, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 24, 20, 21, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e390e8d-f1ee-46f0-b601-b5841c9804c9', 'end_date': datetime.datetime(2010, 8, 26, 19, 12, 55), 'start_time': datetime.datetime(2010, 3, 2, 16, 18, 9), 'rate': 1, 'updated_at': datetime.datetime(2016, 11, 5, 15, 33, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bf8feb01-ddc6-4169-810a-16d4093e080b', 'job_description': 'Decentralized reciprocal matrix', 'start_date': datetime.datetime(2019, 1, 1, 4, 32, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 27, 6, 30, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 7, 13, 49, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '90b1d40c-af19-4ed4-8e07-b19896b5d79d', 'end_date': datetime.datetime(2010, 9, 28, 5, 57, 45), 'start_time': datetime.datetime(2014, 7, 10, 22, 0, 32), 'rate': 5, 'updated_at': datetime.datetime(2013, 11, 3, 20, 1, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5a056472-f0e0-4cb1-bc25-c5e86ca5383c', 'job_description': 'Digitized modular attitude', 'start_date': datetime.datetime(2010, 6, 17, 22, 1, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 13, 15, 17, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 29, 6, 51, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3c2298b2-a0b7-444a-ba65-459fa5524f3e', 'end_date': datetime.datetime(2013, 9, 26, 2, 46, 16), 'start_time': datetime.datetime(2019, 10, 7, 21, 46, 29), 'rate': 3, 'updated_at': datetime.datetime(2012, 10, 6, 7, 47, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4ac16886-f9f0-4352-bb8f-d62707408938', 'job_description': 'Proactive web-enabled pricing structure', 'start_date': datetime.datetime(2010, 3, 18, 20, 49, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 21, 2, 30, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 10, 18, 9, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '21bbfcdf-7567-4629-a5c2-84c58b42e500', 'end_date': datetime.datetime(2019, 4, 9, 2, 57, 29), 'start_time': datetime.datetime(2017, 3, 5, 0, 27, 52), 'rate': 5, 'updated_at': datetime.datetime(2013, 6, 25, 12, 45, 6), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fce0a8c3-86c4-4d43-8695-1c336186eb19', 'job_description': 'Business-focused tertiary superstructure', 'start_date': datetime.datetime(2010, 9, 2, 20, 12, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 14, 11, 36, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 20, 20, 21, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57e816e4-236e-40f7-92c2-21c649c23175', 'end_date': datetime.datetime(2014, 6, 17, 13, 48, 28), 'start_time': datetime.datetime(2010, 12, 16, 15, 26, 25), 'rate': 3, 'updated_at': datetime.datetime(2010, 11, 16, 16, 59, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1109e083-16c7-4435-a402-36ed9cff0114', 'job_description': 'User-centric eco-centric local area network', 'start_date': datetime.datetime(2016, 6, 27, 0, 31, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 29, 21, 33, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 16, 14, 47, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '46adc243-0ca3-49dc-9933-2ded23ce0f40', 'end_date': datetime.datetime(2017, 5, 30, 10, 43, 36), 'start_time': datetime.datetime(2014, 7, 17, 19, 10, 20), 'rate': 3, 'updated_at': datetime.datetime(2016, 3, 8, 3, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8a892fe7-0f76-4b9a-a165-bbf3bd17818e', 'job_description': 'Re-engineered multi-state database', 'start_date': datetime.datetime(2013, 11, 14, 17, 29, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 29, 12, 33, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 12, 1, 50, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6d3b3744-f3e2-4810-a4f0-439bbec43c56', 'end_date': datetime.datetime(2018, 4, 12, 0, 42, 56), 'start_time': datetime.datetime(2018, 10, 12, 11, 25, 43), 'rate': 3, 'updated_at': datetime.datetime(2011, 2, 8, 14, 44, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '13dabc6f-0893-4266-a45f-65f2ed4a4d81', 'job_description': 'Quality-focused scalable circuit', 'start_date': datetime.datetime(2015, 1, 1, 7, 35, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 22, 22, 50, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 11, 6, 42, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aa0f9999-bd50-44c2-972e-805fe4fe8d42', 'end_date': datetime.datetime(2011, 9, 10, 3, 16, 43), 'start_time': datetime.datetime(2017, 12, 25, 11, 18, 31), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 7, 22, 43, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '97f34867-a82a-41a0-857d-220b2f7d8699', 'job_description': 'Horizontal multi-tasking software', 'start_date': datetime.datetime(2011, 9, 11, 6, 19, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 15, 10, 15, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 27, 9, 27, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ab6d6cbc-616f-4587-9d16-1995441c51dc', 'end_date': datetime.datetime(2013, 9, 25, 14, 29, 15), 'start_time': datetime.datetime(2014, 3, 30, 18, 42, 50), 'rate': 2, 'updated_at': datetime.datetime(2015, 1, 26, 18, 5, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Latvia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6bb5448c-21f6-4271-bd0a-db13eed23954', 'job_description': 'Cross-platform holistic attitude', 'start_date': datetime.datetime(2015, 9, 1, 23, 7, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 20, 11, 56, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 13, 1, 35, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '214eb22d-e61d-424c-b297-79f74947a65d', 'end_date': datetime.datetime(2016, 6, 14, 11, 24, 19), 'start_time': datetime.datetime(2011, 4, 2, 19, 11, 32), 'rate': 4, 'updated_at': datetime.datetime(2019, 2, 16, 22, 25, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8514a891-3610-476c-a679-ca825e1b964a', 'job_description': 'Robust neutral productivity', 'start_date': datetime.datetime(2018, 12, 6, 18, 11, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 7, 2, 24, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 15, 4, 21, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ee95a79a-76f7-4aa8-8524-3e7c2beab481', 'end_date': datetime.datetime(2013, 11, 9, 21, 54, 56), 'start_time': datetime.datetime(2015, 12, 21, 12, 4, 10), 'rate': 5, 'updated_at': datetime.datetime(2015, 2, 3, 12, 47, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b5c721c2-011d-48f5-8658-797d6c2a4190', 'job_description': 'Robust maximized extranet', 'start_date': datetime.datetime(2013, 1, 12, 9, 2, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 12, 0, 14, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 20, 15, 29, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '69a444c3-185d-4d64-a487-3ac2c37aaead', 'end_date': datetime.datetime(2013, 1, 14, 1, 11, 27), 'start_time': datetime.datetime(2012, 10, 18, 7, 54, 58), 'rate': 3, 'updated_at': datetime.datetime(2017, 5, 19, 0, 41, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c7e57405-6141-4d2e-8236-378876f6aa5b', 'job_description': 'Future-proofed actuating methodology', 'start_date': datetime.datetime(2014, 12, 31, 6, 50, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 3, 20, 49, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 13, 13, 19, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5a1e861f-3f94-4f02-b9c3-860376fd7e84', 'end_date': datetime.datetime(2016, 3, 29, 23, 55, 30), 'start_time': datetime.datetime(2016, 8, 30, 0, 12, 21), 'rate': 3, 'updated_at': datetime.datetime(2011, 5, 25, 21, 33, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1004953a-19d1-4cb5-a6aa-8c4e8e78dd03', 'job_description': 'Switchable scalable data-warehouse', 'start_date': datetime.datetime(2011, 7, 25, 23, 37, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 15, 16, 18, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 21, 13, 14, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d2400fc-8fee-4663-ae82-81bf3b40a0c6', 'end_date': datetime.datetime(2010, 9, 21, 16, 58, 55), 'start_time': datetime.datetime(2016, 9, 26, 17, 58, 14), 'rate': 5, 'updated_at': datetime.datetime(2013, 2, 11, 22, 27, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Japan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3001a22b-b98c-4ee0-bd75-76af6ea0e514', 'job_description': 'Polarised zero administration definition', 'start_date': datetime.datetime(2017, 9, 24, 0, 20, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 19, 11, 1, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 17, 3, 53, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '007e4c7e-9c64-49b6-ba50-5b897005004e', 'end_date': datetime.datetime(2010, 7, 27, 2, 22, 17), 'start_time': datetime.datetime(2018, 4, 26, 14, 18, 27), 'rate': 4, 'updated_at': datetime.datetime(2011, 9, 20, 7, 46, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c6f826a9-afcc-4a4f-94b4-747106c27861', 'job_description': 'Object-based heuristic superstructure', 'start_date': datetime.datetime(2012, 9, 25, 16, 53, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 30, 0, 15, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 20, 12, 10, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '902e06b3-cc73-4970-ac5d-881db797101d', 'end_date': datetime.datetime(2010, 12, 31, 2, 6, 27), 'start_time': datetime.datetime(2012, 4, 27, 23, 2, 28), 'rate': 4, 'updated_at': datetime.datetime(2018, 2, 9, 3, 1, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '58728f85-9ffa-4751-9065-4868ab6d76f4', 'job_description': 'Multi-layered fault-tolerant benchmark', 'start_date': datetime.datetime(2018, 9, 18, 17, 42, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 15, 10, 57, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 11, 19, 55, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c99e6d6e-3991-4713-bfb1-c65c8b0ffb8d', 'end_date': datetime.datetime(2019, 9, 5, 11, 30, 35), 'start_time': datetime.datetime(2012, 2, 10, 11, 42, 40), 'rate': 3, 'updated_at': datetime.datetime(2012, 11, 7, 17, 50, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a2b93605-7b4c-4ce9-99d1-ccd3b130dbcd', 'job_description': 'Managed motivating solution', 'start_date': datetime.datetime(2016, 7, 24, 5, 5, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 3, 8, 50, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 16, 20, 57, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77357224-26e7-41e3-92cb-ece48617a9c1', 'end_date': datetime.datetime(2015, 4, 15, 16, 13, 37), 'start_time': datetime.datetime(2013, 10, 5, 2, 31, 57), 'rate': 3, 'updated_at': datetime.datetime(2013, 2, 22, 8, 22, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '588501f7-21a2-40dd-a720-6cebd5c985d9', 'job_description': 'Profound systematic internet solution', 'start_date': datetime.datetime(2010, 12, 6, 15, 38, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 18, 6, 52, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 5, 0, 15, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc4af422-03bf-4e13-b0c0-29eb655e6cb8', 'end_date': datetime.datetime(2017, 3, 25, 9, 53, 16), 'start_time': datetime.datetime(2012, 1, 20, 1, 55, 10), 'rate': 1, 'updated_at': datetime.datetime(2016, 1, 21, 9, 3, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd8b7397a-4685-4d11-90fd-809a0e4eaa00', 'job_description': 'Integrated motivating forecast', 'start_date': datetime.datetime(2016, 12, 9, 9, 31, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 1, 23, 23, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 4, 23, 35, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '93fdaa2f-8c61-44e8-86e2-ba3c5a4646e6', 'end_date': datetime.datetime(2011, 4, 19, 19, 33, 18), 'start_time': datetime.datetime(2012, 7, 25, 15, 40, 42), 'rate': 5, 'updated_at': datetime.datetime(2015, 8, 11, 3, 51, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Indonesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e140a030-3279-44b1-b177-4d2ab7f85c3d', 'job_description': 'Centralized bandwidth-monitored focus group', 'start_date': datetime.datetime(2013, 10, 14, 21, 51, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 13, 16, 55, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 26, 1, 47, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '50643760-f713-403d-a5c5-1cde23bbf3de', 'end_date': datetime.datetime(2014, 9, 16, 17, 52, 55), 'start_time': datetime.datetime(2014, 10, 25, 11, 46, 42), 'rate': 4, 'updated_at': datetime.datetime(2017, 4, 20, 21, 59, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Gambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b07b7a08-77d3-45eb-8e02-3ec55d6c8643', 'job_description': 'Grass-roots actuating help-desk', 'start_date': datetime.datetime(2010, 3, 12, 21, 34, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 16, 20, 2, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 12, 5, 22, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '517afd6a-06d9-4040-9b86-4dfe53236304', 'end_date': datetime.datetime(2018, 12, 27, 20, 18, 20), 'start_time': datetime.datetime(2017, 7, 25, 17, 29, 57), 'rate': 1, 'updated_at': datetime.datetime(2015, 8, 27, 1, 37, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b24094c9-2916-48d3-9348-a8ab3671977c', 'job_description': 'Self-enabling next generation groupware', 'start_date': datetime.datetime(2010, 7, 12, 4, 42, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 2, 12, 16, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 5, 19, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c9e11167-fa0c-448b-9149-bf916385de07', 'end_date': datetime.datetime(2015, 4, 10, 9, 40, 29), 'start_time': datetime.datetime(2011, 10, 8, 14, 53, 1), 'rate': 4, 'updated_at': datetime.datetime(2017, 2, 10, 13, 59, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '181273c8-590c-429d-8b97-dad706551626', 'job_description': 'Synergistic intangible toolset', 'start_date': datetime.datetime(2019, 5, 21, 8, 49, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 29, 22, 19, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 16, 13, 54, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2c034bd3-1b0a-4b2b-8b22-8a93228f7860', 'end_date': datetime.datetime(2017, 12, 30, 23, 56, 40), 'start_time': datetime.datetime(2015, 8, 2, 4, 43, 25), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 29, 3, 36, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4a7433f9-2b9b-4e34-bba6-a0b9ccb33509', 'job_description': 'Phased 24/7 knowledge user', 'start_date': datetime.datetime(2014, 9, 28, 23, 56, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 22, 10, 44, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 2, 12, 44, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '217426a0-7390-482b-ac93-6b34876304c4', 'end_date': datetime.datetime(2012, 4, 17, 0, 2, 40), 'start_time': datetime.datetime(2010, 6, 3, 15, 19, 1), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 10, 5, 59, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3bfb0d95-e3c1-4244-92a5-75942fbcc7c9', 'job_description': 'Synchronised motivating customer loyalty', 'start_date': datetime.datetime(2015, 12, 24, 16, 57, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 25, 8, 33, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 14, 19, 18, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5052a05b-f4ca-4389-8022-d84cebe40585', 'end_date': datetime.datetime(2013, 9, 26, 21, 23, 14), 'start_time': datetime.datetime(2018, 1, 2, 1, 45, 45), 'rate': 1, 'updated_at': datetime.datetime(2018, 6, 12, 22, 19, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd3e0e828-9fdc-4d4d-af6a-b3162f2d656c', 'job_description': 'Optional client-server throughput', 'start_date': datetime.datetime(2012, 4, 8, 7, 11, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 6, 17, 10, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 18, 17, 32, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1bafcf7e-fdfa-4586-beb2-8da3fa44db29', 'end_date': datetime.datetime(2017, 1, 7, 16, 5, 10), 'start_time': datetime.datetime(2016, 5, 11, 3, 48, 4), 'rate': 3, 'updated_at': datetime.datetime(2010, 11, 6, 20, 38, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2f9a92fc-c318-4c43-a954-55fa79d62b17', 'job_description': 'Implemented executive application', 'start_date': datetime.datetime(2019, 2, 8, 19, 15, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 7, 20, 22, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 20, 14, 0, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9f64440a-b115-4bfc-bc42-df1a7e5aff08', 'end_date': datetime.datetime(2011, 7, 25, 6, 46, 5), 'start_time': datetime.datetime(2010, 9, 9, 3, 46, 30), 'rate': 4, 'updated_at': datetime.datetime(2015, 9, 4, 5, 43, 36), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'facafbb4-92e0-4be8-880b-895c140d574b', 'job_description': 'Open-architected well-modulated support', 'start_date': datetime.datetime(2012, 7, 10, 2, 9, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 26, 9, 34, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 15, 8, 6, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7856f2fd-b032-4bd0-a0e2-ef991ea5c2e9', 'end_date': datetime.datetime(2016, 9, 15, 3, 3, 15), 'start_time': datetime.datetime(2017, 4, 17, 14, 53, 3), 'rate': 5, 'updated_at': datetime.datetime(2011, 5, 21, 21, 58, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bdcecc1a-7494-4679-8f56-027c7651c4dc', 'job_description': 'Secured zero defect approach', 'start_date': datetime.datetime(2011, 12, 22, 6, 34, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 7, 7, 13, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 9, 16, 57, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dbc3b568-be6c-4831-84d5-b8121e67e51f', 'end_date': datetime.datetime(2017, 6, 30, 1, 29, 38), 'start_time': datetime.datetime(2017, 6, 28, 7, 50, 30), 'rate': 1, 'updated_at': datetime.datetime(2010, 6, 2, 9, 56, 50), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ae302b0-7f8e-4595-81ce-9a55a93cb74a', 'job_description': 'Synchronised bifurcated throughput', 'start_date': datetime.datetime(2017, 12, 19, 1, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 1, 14, 40, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 12, 6, 36, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'be5f7ec5-1989-4cf0-a3ef-a9a2037666e0', 'end_date': datetime.datetime(2018, 12, 20, 13, 48, 34), 'start_time': datetime.datetime(2013, 2, 19, 13, 50, 57), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 4, 20, 56, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Andorra', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c46d6943-8500-425b-a524-40e25d439af4', 'job_description': 'Ergonomic explicit interface', 'start_date': datetime.datetime(2015, 8, 23, 22, 27, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 12, 2, 17, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 18, 3, 42, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dce45fab-d146-408c-89bd-6e8ac31505d3', 'end_date': datetime.datetime(2012, 1, 18, 16, 12, 26), 'start_time': datetime.datetime(2010, 6, 24, 0, 36, 29), 'rate': 1, 'updated_at': datetime.datetime(2013, 6, 2, 6, 28, 48), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0d6ea28f-5b33-4c6f-90b7-26823188a9b3', 'job_description': 'Right-sized bi-directional customer loyalty', 'start_date': datetime.datetime(2016, 2, 2, 1, 15, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 15, 14, 0, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 23, 23, 49, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a905c6ab-9dda-479d-be26-3c0d8be7cc7b', 'end_date': datetime.datetime(2012, 5, 13, 1, 19, 55), 'start_time': datetime.datetime(2017, 8, 31, 11, 38, 25), 'rate': 2, 'updated_at': datetime.datetime(2019, 4, 5, 23, 25, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9358dc3f-319e-4ada-a06b-c834529905c5', 'job_description': 'Ergonomic non-volatile flexibility', 'start_date': datetime.datetime(2019, 6, 23, 9, 16, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 11, 9, 30, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 17, 14, 47, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8adca8e7-3279-48c9-a724-35cb3e0535e3', 'end_date': datetime.datetime(2010, 6, 4, 20, 41, 46), 'start_time': datetime.datetime(2017, 6, 15, 18, 57, 30), 'rate': 4, 'updated_at': datetime.datetime(2018, 6, 8, 7, 38, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '32f2e04f-af72-4f85-a9d3-fdaa78d7fe30', 'job_description': 'Up-sized zero tolerance Graphic Interface', 'start_date': datetime.datetime(2012, 3, 21, 1, 18, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 3, 21, 27, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 4, 2, 48, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'db6e9658-a8c6-4749-9830-d196b496d776', 'end_date': datetime.datetime(2015, 9, 1, 14, 25, 52), 'start_time': datetime.datetime(2013, 9, 16, 1, 26, 46), 'rate': 1, 'updated_at': datetime.datetime(2014, 6, 26, 10, 28, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8bf15286-c0db-4e67-b2a4-c2aa6fde2dc2', 'job_description': 'Configurable 3rd generation policy', 'start_date': datetime.datetime(2016, 3, 7, 21, 20, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 27, 17, 39, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 13, 5, 20, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '31e08bc8-d8d4-4966-9d48-f4b201bc905b', 'end_date': datetime.datetime(2014, 2, 8, 23, 56, 16), 'start_time': datetime.datetime(2016, 12, 30, 1, 21, 11), 'rate': 3, 'updated_at': datetime.datetime(2012, 9, 12, 2, 44, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Antigua and Barbuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '569a6212-ad66-454d-8097-3d9cbad483d3', 'job_description': 'Sharable methodical info-mediaries', 'start_date': datetime.datetime(2019, 11, 24, 10, 44, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 20, 23, 47, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 18, 7, 59, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7b9a26fd-f2d1-4fb9-9116-4c0e2ca36b69', 'end_date': datetime.datetime(2015, 3, 20, 13, 40, 37), 'start_time': datetime.datetime(2011, 7, 9, 5, 23, 21), 'rate': 2, 'updated_at': datetime.datetime(2013, 5, 16, 23, 13, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7b05dfba-5a4b-4199-bac6-1ce31977b7ea', 'job_description': 'Open-architected assymetric moratorium', 'start_date': datetime.datetime(2017, 1, 7, 3, 25, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 24, 12, 58, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 11, 20, 29, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea68c6e8-7963-40a6-b76e-20f5ccc8d916', 'end_date': datetime.datetime(2012, 8, 28, 21, 19, 59), 'start_time': datetime.datetime(2016, 2, 28, 23, 37, 53), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 3, 15, 26, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3e442e68-b234-45af-8309-d44d7dbab8ab', 'job_description': 'Right-sized composite benchmark', 'start_date': datetime.datetime(2015, 12, 2, 15, 25, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 3, 22, 46, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 30, 12, 18, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f3926470-1224-44cd-9617-969a087187c4', 'end_date': datetime.datetime(2017, 11, 8, 1, 57, 46), 'start_time': datetime.datetime(2012, 8, 27, 2, 32, 18), 'rate': 1, 'updated_at': datetime.datetime(2016, 4, 19, 3, 59, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
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{'_id': '07263ad0-4d58-4551-b9e2-5d79329e4095', 'job_description': 'Cross-platform actuating attitude', 'start_date': datetime.datetime(2013, 7, 6, 14, 16, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 11, 5, 50, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 27, 21, 23, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1e10cfec-b368-4466-971c-726cedd8a615', 'end_date': datetime.datetime(2010, 8, 14, 8, 55, 42), 'start_time': datetime.datetime(2016, 7, 18, 10, 9, 4), 'rate': 3, 'updated_at': datetime.datetime(2016, 10, 5, 7, 17, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
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{'_id': 'd21e8f9a-2af1-4b6c-a693-6d2e9a49f601', 'job_description': 'Horizontal hybrid architecture', 'start_date': datetime.datetime(2016, 9, 9, 8, 46, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 4, 6, 41, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 14, 3, 4, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7ef78a6e-3ccf-4171-af4b-b9cbc25afa47', 'end_date': datetime.datetime(2010, 8, 26, 18, 11, 49), 'start_time': datetime.datetime(2012, 4, 21, 13, 38, 30), 'rate': 5, 'updated_at': datetime.datetime(2016, 3, 18, 3, 3, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '603c004e-c1de-4e1d-af9a-dbceb82be2f9', 'job_description': 'Optimized needs-based matrices', 'start_date': datetime.datetime(2017, 3, 5, 9, 27, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 3, 20, 13, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 25, 15, 25, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1fee629a-e788-4f25-b71d-ddca0a54f85e', 'end_date': datetime.datetime(2013, 10, 13, 16, 15, 20), 'start_time': datetime.datetime(2010, 5, 19, 9, 43, 56), 'rate': 2, 'updated_at': datetime.datetime(2018, 6, 2, 6, 26, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8a19d838-ec66-4aa9-9c4d-a2f802f86501', 'job_description': 'Decentralized logistical interface', 'start_date': datetime.datetime(2019, 11, 24, 4, 33, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 23, 7, 6, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 12, 19, 42, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '46679c1b-f297-4220-ac67-7a8cf8976bed', 'end_date': datetime.datetime(2013, 12, 19, 12, 9), 'start_time': datetime.datetime(2016, 6, 8, 15, 39, 39), 'rate': 2, 'updated_at': datetime.datetime(2018, 2, 23, 13, 37, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Afghanistan', 'special_note': 'thanks'}
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{'_id': '5a5f24e8-656e-4894-9d3d-4641b49b7fa3', 'job_description': 'Automated optimal encoding', 'start_date': datetime.datetime(2012, 11, 25, 23, 7, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 19, 3, 40, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 13, 3, 39, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aaade88b-9131-4e44-95ae-29c51bbc1024', 'end_date': datetime.datetime(2019, 7, 12, 2, 2, 47), 'start_time': datetime.datetime(2010, 6, 8, 5, 50, 40), 'rate': 3, 'updated_at': datetime.datetime(2010, 12, 18, 17, 53, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '994c0299-3d24-49ef-8e77-8a6049747f8a', 'job_description': 'Monitored context-sensitive success', 'start_date': datetime.datetime(2011, 11, 8, 11, 10, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 22, 22, 51, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 10, 6, 42, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd2e28d19-3c9d-4b78-89ff-c5ec83f3dd0b', 'end_date': datetime.datetime(2013, 6, 21, 8, 1, 35), 'start_time': datetime.datetime(2010, 8, 11, 1, 9, 31), 'rate': 5, 'updated_at': datetime.datetime(2016, 7, 5, 14, 53, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Liberia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9f81cb09-17cc-44ad-9d05-a332ed735dbf', 'job_description': 'Balanced assymetric productivity', 'start_date': datetime.datetime(2011, 3, 30, 23, 4, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 27, 20, 50, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 5, 12, 31, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e7c79b58-24f7-4373-9245-24e50558d46c', 'end_date': datetime.datetime(2016, 10, 1, 0, 6, 35), 'start_time': datetime.datetime(2013, 11, 24, 13, 48, 37), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 3, 1, 41, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '872e42f5-890a-4dd0-a48c-3e46437f854e', 'job_description': 'Networked optimal middleware', 'start_date': datetime.datetime(2014, 1, 17, 23, 45, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 30, 14, 23, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 6, 12, 54, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd9f5638b-74a5-4ff7-8d43-e865499c7f09', 'end_date': datetime.datetime(2011, 11, 9, 15, 7, 44), 'start_time': datetime.datetime(2014, 7, 19, 17, 3, 41), 'rate': 5, 'updated_at': datetime.datetime(2015, 11, 30, 4, 19, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '08e5e8a3-1f2f-453d-a466-bca1afebac58', 'job_description': 'Switchable solution-oriented methodology', 'start_date': datetime.datetime(2011, 9, 14, 20, 24, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 12, 21, 1, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 30, 3, 38, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b1f34849-54de-46cc-9f22-b4e7806fab58', 'end_date': datetime.datetime(2018, 10, 23, 4, 13, 4), 'start_time': datetime.datetime(2010, 2, 13, 18, 16, 16), 'rate': 5, 'updated_at': datetime.datetime(2010, 1, 23, 19, 50, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b7ff926c-aa11-4549-9440-b2ae0e2fd218', 'job_description': 'Universal fresh-thinking conglomeration', 'start_date': datetime.datetime(2015, 12, 15, 1, 13, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 9, 4, 5, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 23, 5, 30, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e21b5646-a915-49fa-a9a9-c2dd0ce5bc95', 'end_date': datetime.datetime(2017, 5, 7, 4, 35, 41), 'start_time': datetime.datetime(2013, 11, 5, 0, 23, 33), 'rate': 2, 'updated_at': datetime.datetime(2011, 5, 24, 10, 26, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c9d5f871-b7c6-4182-b58d-8839d4ba8186', 'job_description': 'Enterprise-wide assymetric protocol', 'start_date': datetime.datetime(2013, 4, 5, 23, 1, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 8, 1, 44, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 14, 11, 29, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '16632251-e5e7-4afc-aede-1e3e15b78155', 'end_date': datetime.datetime(2019, 1, 22, 9, 12, 32), 'start_time': datetime.datetime(2018, 6, 6, 8, 31, 54), 'rate': 4, 'updated_at': datetime.datetime(2015, 3, 10, 19, 27, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f2d7f442-3027-4c7f-a784-6a8d21527798', 'job_description': 'Synergistic explicit matrix', 'start_date': datetime.datetime(2015, 9, 21, 19, 28, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 20, 8, 48, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 3, 1, 6, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9649a76f-ae9e-40e4-b72b-038f3be15328', 'end_date': datetime.datetime(2019, 6, 22, 13, 10, 8), 'start_time': datetime.datetime(2011, 6, 11, 11, 35, 21), 'rate': 1, 'updated_at': datetime.datetime(2017, 7, 21, 15, 52, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Mozambique', 'special_note': 'thanks'}
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{'_id': '74632e30-0700-464c-9602-374cd28c4a1b', 'job_description': 'Digitized local forecast', 'start_date': datetime.datetime(2011, 10, 16, 7, 30, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 11, 18, 55, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 15, 15, 54, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6d9e5989-fa7d-4eae-8d23-29756d7ccea9', 'end_date': datetime.datetime(2019, 8, 30, 0, 16, 46), 'start_time': datetime.datetime(2017, 3, 19, 20, 0, 41), 'rate': 3, 'updated_at': datetime.datetime(2011, 5, 16, 21, 14, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
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{'_id': '979c6805-4cab-4767-8196-8c6991c26c47', 'job_description': 'Implemented empowering intranet', 'start_date': datetime.datetime(2019, 3, 13, 3, 34, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 18, 13, 18, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 16, 2, 40, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '527b791a-6b40-4e7b-8ebe-dd2417564890', 'end_date': datetime.datetime(2017, 5, 13, 3, 0, 25), 'start_time': datetime.datetime(2016, 11, 15, 23, 50, 53), 'rate': 2, 'updated_at': datetime.datetime(2012, 8, 2, 1, 7, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
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{'_id': 'f5897e63-5ba1-46b9-99e3-0dd02be619a7', 'job_description': 'Object-based systemic initiative', 'start_date': datetime.datetime(2013, 3, 16, 19, 4, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 9, 6, 18, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 8, 10, 24, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '99986409-1663-4622-bddf-f7be6e7e41e5', 'end_date': datetime.datetime(2017, 4, 5, 6, 38, 51), 'start_time': datetime.datetime(2010, 12, 19, 5, 47, 56), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 16, 17, 56, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8be0f5b3-714a-4721-b9d2-23afaf0d5ac4', 'job_description': 'Sharable grid-enabled methodology', 'start_date': datetime.datetime(2016, 1, 31, 9, 31, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 15, 11, 16, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 23, 1, 52, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '030b6520-9717-4346-988e-016a7f13f58f', 'end_date': datetime.datetime(2018, 6, 8, 0, 1, 50), 'start_time': datetime.datetime(2010, 9, 25, 5, 42, 22), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 8, 23, 7, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
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{'_id': '2d9e3a47-6fd1-4687-a22d-822988ba8750', 'job_description': 'Distributed system-worthy challenge', 'start_date': datetime.datetime(2011, 12, 7, 1, 0, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 30, 7, 30, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 27, 13, 3, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4336ef67-2bc1-4117-b361-00b6259e7fa3', 'end_date': datetime.datetime(2011, 6, 9, 20, 15, 30), 'start_time': datetime.datetime(2012, 7, 8, 4, 59, 15), 'rate': 3, 'updated_at': datetime.datetime(2010, 12, 5, 9, 27, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3ae12600-8aff-4793-816a-98e51e970df9', 'job_description': 'Advanced reciprocal productivity', 'start_date': datetime.datetime(2011, 5, 9, 17, 51, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 21, 6, 35, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 26, 19, 32, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83b719a9-5e3b-47fa-a992-524802df58fe', 'end_date': datetime.datetime(2013, 3, 30, 17, 9, 40), 'start_time': datetime.datetime(2016, 9, 19, 9, 39), 'rate': 2, 'updated_at': datetime.datetime(2019, 10, 30, 22, 47, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '08071184-fa4a-465a-95a3-d17ce3fe2454', 'job_description': 'Down-sized zero administration implementation', 'start_date': datetime.datetime(2017, 12, 25, 15, 26, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 12, 19, 4, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 10, 21, 26, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3431452e-0b3c-4b74-9546-7fc2ed7885d8', 'end_date': datetime.datetime(2013, 6, 25, 13, 37, 48), 'start_time': datetime.datetime(2010, 5, 27, 22, 35, 35), 'rate': 4, 'updated_at': datetime.datetime(2011, 10, 22, 13, 40, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '727e1ad4-fe8b-4595-8c96-22ee3abb559c', 'job_description': 'Cross-platform stable conglomeration', 'start_date': datetime.datetime(2019, 7, 10, 8, 32, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 11, 18, 21, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 16, 7, 54, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '728d70d6-cf6d-477c-989f-288f4bf7946f', 'end_date': datetime.datetime(2012, 3, 4, 7, 26, 52), 'start_time': datetime.datetime(2014, 10, 24, 15, 54, 37), 'rate': 1, 'updated_at': datetime.datetime(2013, 7, 12, 19, 51, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '63331dd1-21ac-43c9-a41f-eb6499c43336', 'job_description': 'Cross-group zero tolerance throughput', 'start_date': datetime.datetime(2011, 12, 7, 9, 24, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 9, 13, 9, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 18, 23, 26, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f56d75ad-c3e0-4766-98f7-461d033eaf0f', 'end_date': datetime.datetime(2012, 4, 28, 4, 10, 45), 'start_time': datetime.datetime(2015, 5, 26, 8, 59, 26), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 14, 17, 6, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8f0d7b0b-24da-4d34-9222-94140abfcf50', 'job_description': 'Sharable modular open architecture', 'start_date': datetime.datetime(2013, 11, 25, 10, 46, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 16, 15, 38, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 23, 20, 20, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b48bf511-2bd0-4100-b9e9-7033def317c4', 'end_date': datetime.datetime(2014, 5, 11, 22, 31, 28), 'start_time': datetime.datetime(2014, 5, 26, 5, 22, 21), 'rate': 4, 'updated_at': datetime.datetime(2014, 12, 10, 3, 4, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Bhutan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9d16033f-5b04-46b3-af00-7a72c991385b', 'job_description': 'Robust client-server emulation', 'start_date': datetime.datetime(2011, 11, 12, 20, 19, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 26, 2, 32, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 14, 5, 39, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2fe035f1-ca85-41d7-b497-f135a2085b04', 'end_date': datetime.datetime(2015, 3, 9, 15, 55, 51), 'start_time': datetime.datetime(2017, 10, 24, 0, 21, 56), 'rate': 4, 'updated_at': datetime.datetime(2013, 5, 13, 4, 42, 20), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
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<class 'dict'>
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{'_id': 'ac85dbcd-f4c4-405d-9358-3d116e340b01', 'job_description': 'Robust non-volatile implementation', 'start_date': datetime.datetime(2016, 3, 7, 22, 48, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 8, 6, 0, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 26, 21, 28, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cee939ae-2ffa-49f3-8f35-ffbaefac6d63', 'end_date': datetime.datetime(2017, 10, 11, 6, 37, 56), 'start_time': datetime.datetime(2016, 2, 13, 7, 24, 12), 'rate': 2, 'updated_at': datetime.datetime(2010, 6, 15, 1, 35, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
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{'_id': '7ab82578-d003-47d4-ad02-ec31a65d8eeb', 'job_description': 'Team-oriented needs-based Graphic Interface', 'start_date': datetime.datetime(2017, 6, 3, 2, 11, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 10, 17, 41, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 7, 9, 2, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8d802e87-d020-448f-b211-6740de696be4', 'end_date': datetime.datetime(2012, 9, 22, 10, 22, 29), 'start_time': datetime.datetime(2018, 2, 27, 22, 46, 39), 'rate': 2, 'updated_at': datetime.datetime(2016, 10, 17, 14, 20, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
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{'_id': '196a18de-b56b-4d33-b670-92b3f8c3ff4d', 'job_description': 'Cross-platform asynchronous open system', 'start_date': datetime.datetime(2019, 6, 23, 17, 33, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 8, 11, 56, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 24, 23, 14, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c49379bb-ceb8-4de9-82a7-53ef5400acae', 'end_date': datetime.datetime(2011, 7, 26, 7, 4, 5), 'start_time': datetime.datetime(2010, 1, 24, 6, 5, 32), 'rate': 4, 'updated_at': datetime.datetime(2013, 7, 10, 15, 4, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': 'c567c12b-d3b6-48fb-b0cd-a0edf94b6892', 'job_description': 'Right-sized multi-state customer loyalty', 'start_date': datetime.datetime(2012, 11, 9, 16, 51, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 28, 21, 28, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 10, 9, 13, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bfc348fc-e301-4ed0-92a6-a34a3ce90e5f', 'end_date': datetime.datetime(2014, 12, 1, 12, 12, 32), 'start_time': datetime.datetime(2011, 7, 17, 11, 58, 56), 'rate': 3, 'updated_at': datetime.datetime(2010, 4, 17, 9, 2, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': '7cf3d0b7-2e96-44a2-b195-296e14a71f54', 'job_description': 'Business-focused bottom-line standardization', 'start_date': datetime.datetime(2013, 11, 1, 3, 54, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 28, 19, 36, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 8, 0, 54, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3ba22492-736e-41e4-bfec-6322d55a3663', 'end_date': datetime.datetime(2014, 6, 25, 14, 29, 54), 'start_time': datetime.datetime(2012, 7, 13, 3, 33, 34), 'rate': 1, 'updated_at': datetime.datetime(2019, 6, 3, 12, 17, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Jersey', 'special_note': 'thanks'}
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{'_id': 'a42d27cd-352f-4e57-b8bb-522fda4a746d', 'job_description': 'Monitored zero defect superstructure', 'start_date': datetime.datetime(2011, 5, 15, 2, 10, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 16, 8, 6, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 23, 16, 42, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d6b7023-28fd-4cd1-8232-509486340994', 'end_date': datetime.datetime(2016, 8, 8, 0, 28, 48), 'start_time': datetime.datetime(2018, 4, 25, 1, 9, 45), 'rate': 4, 'updated_at': datetime.datetime(2010, 9, 9, 1, 25, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Netherlands', 'special_note': 'thanks'}
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{'_id': 'edfab139-5f2b-4745-9b67-007639c74e63', 'job_description': 'Focused optimal success', 'start_date': datetime.datetime(2014, 2, 26, 10, 7, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 4, 6, 38, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 4, 6, 14, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c59d05ae-c687-4e70-9d28-a49f0c06eae5', 'end_date': datetime.datetime(2015, 10, 30, 18, 29, 34), 'start_time': datetime.datetime(2017, 2, 4, 23, 26, 4), 'rate': 4, 'updated_at': datetime.datetime(2013, 5, 4, 12, 54, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
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{'_id': 'a58b9557-3289-41d7-a65f-fc3eb8ec0968', 'job_description': 'Cross-group mission-critical standardization', 'start_date': datetime.datetime(2017, 7, 29, 7, 8, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 16, 15, 3, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 31, 11, 3, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '02c64b9d-3c60-4ba0-8e0f-d3f4e1b303aa', 'end_date': datetime.datetime(2018, 7, 20, 19, 18, 20), 'start_time': datetime.datetime(2015, 11, 20, 10, 39, 25), 'rate': 1, 'updated_at': datetime.datetime(2012, 6, 22, 23, 57, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '33f214c5-287b-49db-8ac0-f4922c37c4d9', 'job_description': 'Re-contextualized methodical collaboration', 'start_date': datetime.datetime(2016, 7, 16, 19, 21, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 30, 23, 14, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 15, 1, 29, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'afac9467-83e4-4b58-9713-c21bc241266e', 'end_date': datetime.datetime(2013, 3, 22, 15, 44, 5), 'start_time': datetime.datetime(2012, 7, 2, 23, 29, 20), 'rate': 3, 'updated_at': datetime.datetime(2010, 7, 26, 13, 7, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': '44ad86e4-b6cf-4c2b-a6b5-ad6e324724c1', 'job_description': 'Advanced tangible benchmark', 'start_date': datetime.datetime(2013, 11, 29, 2, 46, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 3, 13, 54, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 22, 16, 23, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8327fc80-78a2-4aec-9457-f0bde07424be', 'end_date': datetime.datetime(2011, 5, 5, 17, 50, 9), 'start_time': datetime.datetime(2019, 9, 2, 12, 26, 11), 'rate': 2, 'updated_at': datetime.datetime(2019, 9, 15, 20, 34, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Argentina', 'special_note': 'thanks'}
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{'_id': 'd85d78c1-a6f2-4299-aa09-cd5ca93a0d83', 'job_description': 'Digitized multi-tasking functionalities', 'start_date': datetime.datetime(2016, 11, 26, 8, 38, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 21, 2, 9, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 23, 13, 54, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '51ae6e25-ccf8-440a-ab06-d9eeaf14d1af', 'end_date': datetime.datetime(2017, 5, 12, 12, 41, 32), 'start_time': datetime.datetime(2011, 2, 4, 4, 36, 11), 'rate': 5, 'updated_at': datetime.datetime(2015, 9, 16, 23, 59, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
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<class 'dict'>
{'_id': '2b45f68f-5990-4b3a-ad59-c33cc01cd58c', 'job_description': 'Secured interactive monitoring', 'start_date': datetime.datetime(2013, 12, 13, 14, 55, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 9, 13, 58, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 5, 7, 44, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd44b24b0-64da-48a1-88a8-e6b65a9d1a3f', 'end_date': datetime.datetime(2011, 8, 19, 2, 57, 12), 'start_time': datetime.datetime(2019, 11, 8, 17, 58, 59), 'rate': 4, 'updated_at': datetime.datetime(2010, 2, 22, 6, 47, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '753051c6-16d1-40f5-9699-4de889c690d4', 'job_description': 'Universal 5th generation policy', 'start_date': datetime.datetime(2015, 10, 23, 10, 32, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 14, 12, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 4, 19, 36, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b0e7fcc-dbed-4cff-b1f4-4cb2aa69ebf8', 'end_date': datetime.datetime(2010, 4, 7, 13, 14, 54), 'start_time': datetime.datetime(2013, 8, 30, 16, 21, 59), 'rate': 2, 'updated_at': datetime.datetime(2015, 8, 15, 11, 47, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9375359e-2efd-4995-961e-7b1409eaa298', 'job_description': 'Synergized bottom-line monitoring', 'start_date': datetime.datetime(2014, 12, 17, 1, 12, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 14, 22, 45, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 21, 18, 16, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '594407c3-832f-4ca6-a66a-23aae002f475', 'end_date': datetime.datetime(2010, 5, 11, 13, 21, 19), 'start_time': datetime.datetime(2017, 1, 24, 14, 7, 27), 'rate': 4, 'updated_at': datetime.datetime(2013, 3, 25, 5, 31, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '732d7cd2-da84-4eab-94b4-d3447725d783', 'job_description': 'Innovative system-worthy challenge', 'start_date': datetime.datetime(2010, 7, 19, 20, 37, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 9, 4, 9, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 2, 20, 15, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '96d41e95-cf98-4ec5-a87c-e95f90dff80a', 'end_date': datetime.datetime(2019, 9, 11, 8, 5, 45), 'start_time': datetime.datetime(2017, 4, 20, 5, 43, 50), 'rate': 5, 'updated_at': datetime.datetime(2010, 12, 4, 13, 8, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4a987feb-491c-4f1b-9cd3-17fb83ea65b3', 'job_description': 'Proactive next generation array', 'start_date': datetime.datetime(2018, 4, 28, 6, 16, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 3, 9, 40, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 2, 10, 28, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5ca3b47f-53c7-4e5c-a38c-637f7c632a8f', 'end_date': datetime.datetime(2017, 12, 24, 13, 3, 57), 'start_time': datetime.datetime(2019, 8, 1, 16, 12, 4), 'rate': 5, 'updated_at': datetime.datetime(2014, 6, 6, 0, 30, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a6972f3a-f89b-4768-8bb1-f13b744d058e', 'job_description': 'Reverse-engineered directional Graphic Interface', 'start_date': datetime.datetime(2017, 9, 13, 14, 15, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 14, 17, 20, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 6, 14, 26, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a0bf053-ce52-4a18-98b7-959359a0813b', 'end_date': datetime.datetime(2013, 10, 16, 5, 36, 43), 'start_time': datetime.datetime(2015, 2, 8, 3, 59, 56), 'rate': 2, 'updated_at': datetime.datetime(2013, 10, 10, 12, 36, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3045eaf4-3653-4483-a8a2-c2e6b98586e5', 'job_description': 'Triple-buffered impactful leverage', 'start_date': datetime.datetime(2013, 8, 3, 16, 3, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 14, 11, 11, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 28, 14, 39, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5334fcd-4245-4d27-bdc3-bf7de6addbb8', 'end_date': datetime.datetime(2014, 11, 17, 0, 24, 14), 'start_time': datetime.datetime(2018, 1, 23, 8, 57, 21), 'rate': 2, 'updated_at': datetime.datetime(2015, 3, 8, 9, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3b020562-d4c9-41c8-865d-8b3d45a0b80d', 'job_description': 'Customizable bifurcated approach', 'start_date': datetime.datetime(2014, 6, 28, 6, 36, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 2, 19, 40, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 5, 14, 2, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b89d4337-d5ef-470a-a31a-ceb1cdaf7aee', 'end_date': datetime.datetime(2011, 6, 1, 20, 58, 9), 'start_time': datetime.datetime(2016, 7, 22, 17, 4, 29), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 15, 11, 5, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2019b0c7-0f13-436f-97da-7fa468e61592', 'job_description': 'Switchable bi-directional help-desk', 'start_date': datetime.datetime(2013, 5, 3, 15, 15, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 26, 4, 8, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 1, 17, 48, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b263d13c-438c-4b8f-b8f6-3e335e32aeba', 'end_date': datetime.datetime(2014, 2, 2, 17, 47, 6), 'start_time': datetime.datetime(2018, 4, 1, 2, 42, 53), 'rate': 4, 'updated_at': datetime.datetime(2011, 3, 2, 17, 10, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd4227a4d-4f4b-4907-aadd-61c0706ba9b2', 'job_description': 'Face to face global firmware', 'start_date': datetime.datetime(2015, 12, 12, 1, 58, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 9, 16, 10, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 2, 3, 28, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2c46fa3d-a1e1-455b-9ff5-084070397928', 'end_date': datetime.datetime(2010, 9, 30, 22, 2, 16), 'start_time': datetime.datetime(2015, 8, 16, 1, 42, 55), 'rate': 4, 'updated_at': datetime.datetime(2017, 8, 19, 15, 22, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aac7d7db-2d89-4d12-847b-777e48bc030b', 'job_description': 'Open-architected value-added focus group', 'start_date': datetime.datetime(2013, 7, 27, 0, 45, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 13, 3, 39, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 11, 0, 10, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c909e8f-7af6-4792-8f03-53738e3107ec', 'end_date': datetime.datetime(2012, 6, 9, 13, 53, 21), 'start_time': datetime.datetime(2012, 7, 4, 15, 35, 39), 'rate': 5, 'updated_at': datetime.datetime(2012, 4, 7, 3, 36, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8e9a78d0-0671-4a37-b310-2ea4c8421c02', 'job_description': 'Synergistic global product', 'start_date': datetime.datetime(2018, 1, 12, 11, 37, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 28, 8, 41, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 13, 16, 56, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bdeb8aca-380d-4288-8336-1368a7db03d0', 'end_date': datetime.datetime(2013, 5, 16, 8, 20, 27), 'start_time': datetime.datetime(2018, 5, 8, 13, 45, 24), 'rate': 1, 'updated_at': datetime.datetime(2011, 9, 16, 15, 16, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b8834013-ef69-44bf-bc7f-26d334eba2ae', 'job_description': 'Persistent 4th generation challenge', 'start_date': datetime.datetime(2011, 8, 7, 12, 20, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 12, 3, 24, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 14, 22, 54, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd70a8aae-e312-4c9c-958c-1d6844f76002', 'end_date': datetime.datetime(2019, 11, 19, 7, 6, 29), 'start_time': datetime.datetime(2011, 9, 8, 19, 35, 59), 'rate': 1, 'updated_at': datetime.datetime(2015, 8, 29, 11, 13, 45), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '04eacf64-013f-49ab-a8cd-27ad77722a86', 'job_description': 'Re-contextualized well-modulated Graphical User Interface', 'start_date': datetime.datetime(2017, 1, 1, 14, 31, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 5, 16, 48, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 22, 14, 49, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '12e44dda-c640-458e-9d99-86edacb8ba55', 'end_date': datetime.datetime(2018, 2, 8, 4, 39, 13), 'start_time': datetime.datetime(2014, 11, 12, 16, 12, 53), 'rate': 3, 'updated_at': datetime.datetime(2017, 6, 30, 19, 42, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '24009431-6e62-49c2-bd03-9f772ef64b94', 'job_description': 'Multi-channelled responsive open architecture', 'start_date': datetime.datetime(2014, 5, 30, 0, 23, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 18, 10, 15, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 2, 17, 45, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9a958343-91d5-4e40-aaef-e04012766225', 'end_date': datetime.datetime(2012, 2, 12, 10, 37, 33), 'start_time': datetime.datetime(2018, 2, 16, 2, 29, 3), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 3, 0, 3, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '068a82c3-a16c-4157-9aed-79616c3b87b3', 'job_description': 'Upgradable solution-oriented ability', 'start_date': datetime.datetime(2019, 5, 21, 17, 26, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 21, 16, 12, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 16, 12, 43, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cb15933a-0adf-4485-8930-a169047e151e', 'end_date': datetime.datetime(2012, 7, 22, 14, 36, 16), 'start_time': datetime.datetime(2016, 7, 3, 7, 46, 6), 'rate': 5, 'updated_at': datetime.datetime(2013, 4, 10, 14, 3, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Grenada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '41b0e1e1-57c0-4751-b858-f665f5350695', 'job_description': 'Seamless encompassing matrices', 'start_date': datetime.datetime(2014, 9, 2, 17, 27, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 29, 3, 1, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 24, 9, 9, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '885103c4-6ef0-4c11-94b2-6415f16df953', 'end_date': datetime.datetime(2016, 3, 25, 20, 46, 5), 'start_time': datetime.datetime(2017, 12, 5, 2, 21, 22), 'rate': 1, 'updated_at': datetime.datetime(2013, 9, 20, 2, 58, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dff933d5-5a8a-4032-8f3a-286578dc7108', 'job_description': 'Focused context-sensitive attitude', 'start_date': datetime.datetime(2010, 1, 26, 14, 50, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 11, 21, 26, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 20, 11, 25, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4406a9d7-0f9f-49ba-b371-76194710efca', 'end_date': datetime.datetime(2018, 8, 10, 8, 27, 11), 'start_time': datetime.datetime(2010, 1, 15, 4, 51, 41), 'rate': 4, 'updated_at': datetime.datetime(2013, 7, 12, 22, 57, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '82d1cff5-3aad-4d3d-8386-42c799c9ed99', 'job_description': 'Universal regional firmware', 'start_date': datetime.datetime(2013, 4, 19, 12, 21, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 22, 5, 2, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 15, 12, 45, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '18008b7e-062d-4180-9ef4-28dcf67b9604', 'end_date': datetime.datetime(2011, 1, 19, 23, 17, 10), 'start_time': datetime.datetime(2014, 12, 22, 0, 39, 11), 'rate': 2, 'updated_at': datetime.datetime(2014, 4, 21, 13, 17, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Bangladesh', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd64048f9-8d1c-4edd-812c-82f2d719ba27', 'job_description': 'Expanded optimizing help-desk', 'start_date': datetime.datetime(2015, 3, 11, 12, 36, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 12, 3, 39, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 8, 2, 54, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e8337c4-e98c-486a-8a9f-d3488faca1a4', 'end_date': datetime.datetime(2018, 2, 12, 3, 33, 9), 'start_time': datetime.datetime(2013, 10, 10, 16, 56, 7), 'rate': 2, 'updated_at': datetime.datetime(2011, 2, 8, 20, 43, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '09547643-f623-4a51-a0af-2ab33634c6c0', 'job_description': 'Down-sized assymetric matrices', 'start_date': datetime.datetime(2011, 7, 27, 16, 16, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 18, 8, 7, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 10, 11, 11, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7019e7e6-3f0f-46f6-b1ce-0abc196f1cae', 'end_date': datetime.datetime(2017, 11, 11, 5, 28, 27), 'start_time': datetime.datetime(2017, 11, 5, 14, 40, 16), 'rate': 4, 'updated_at': datetime.datetime(2015, 9, 26, 23, 49, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '71b5f008-0924-4f6d-b692-6caca9607088', 'job_description': 'Cross-group intermediate application', 'start_date': datetime.datetime(2013, 10, 10, 13, 32, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 9, 16, 28, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 25, 18, 35, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7242532d-7bbb-4e62-98fc-729e9ff0355f', 'end_date': datetime.datetime(2012, 1, 7, 6, 7, 27), 'start_time': datetime.datetime(2017, 7, 21, 18, 55, 10), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 17, 4, 41, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f6819920-ca51-4218-9177-2800d832cb79', 'job_description': 'Optimized optimizing software', 'start_date': datetime.datetime(2014, 10, 11, 11, 21, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 20, 15, 36, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 18, 0, 45, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b7eaef35-28f8-4fc2-92f2-70d73d0029c6', 'end_date': datetime.datetime(2017, 11, 1, 15, 3, 32), 'start_time': datetime.datetime(2010, 8, 19, 6, 39, 11), 'rate': 4, 'updated_at': datetime.datetime(2013, 3, 2, 11, 49, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '56092b5e-1ab5-42a0-adc4-11e9876d6724', 'job_description': 'Synergistic needs-based solution', 'start_date': datetime.datetime(2010, 5, 28, 9, 37, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 8, 9, 4, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 17, 15, 50, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8a5aca07-29d8-4c5c-8794-09e19f9482ae', 'end_date': datetime.datetime(2019, 9, 8, 3, 59, 11), 'start_time': datetime.datetime(2016, 2, 2, 13, 9, 48), 'rate': 1, 'updated_at': datetime.datetime(2014, 5, 30, 22, 54, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9d9c0660-8789-4e55-8639-f1fb0c54c7be', 'job_description': 'Front-line dedicated orchestration', 'start_date': datetime.datetime(2017, 11, 12, 17, 35, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 20, 1, 33, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 21, 18, 31, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0a244d72-dc56-4c88-9945-cd45b8e1243d', 'end_date': datetime.datetime(2014, 11, 30, 9, 45, 46), 'start_time': datetime.datetime(2013, 11, 1, 11, 4, 57), 'rate': 5, 'updated_at': datetime.datetime(2010, 9, 14, 3, 59, 42), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd1dc8f6a-7661-474e-81df-88801d698a22', 'job_description': 'Multi-lateral 5th generation Graphical User Interface', 'start_date': datetime.datetime(2018, 3, 22, 9, 37, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 24, 13, 17, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 10, 12, 23, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c407eb9-9f25-437a-8189-6a23f36f53e6', 'end_date': datetime.datetime(2019, 11, 7, 17, 53, 39), 'start_time': datetime.datetime(2017, 11, 5, 23, 20, 39), 'rate': 4, 'updated_at': datetime.datetime(2014, 3, 3, 12, 27, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5a1ace92-69a6-4046-8e10-9646941ba982', 'job_description': 'Team-oriented impactful methodology', 'start_date': datetime.datetime(2017, 10, 28, 20, 6, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 17, 10, 4, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 14, 7, 5, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ae43b67-dda7-45e1-a890-a49dd0d21ad5', 'end_date': datetime.datetime(2014, 10, 27, 5, 33, 35), 'start_time': datetime.datetime(2014, 1, 26, 16, 56, 31), 'rate': 1, 'updated_at': datetime.datetime(2017, 10, 30, 10, 21, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Anguilla', 'special_note': 'thanks'}
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{'_id': '390dcc5b-3f32-4eda-a488-ba0b5db7e595', 'job_description': 'Mandatory bottom-line superstructure', 'start_date': datetime.datetime(2016, 10, 26, 8, 15, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 1, 11, 10, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 23, 13, 52, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6447c690-38fc-4ae1-9e9f-0ec8a48c541f', 'end_date': datetime.datetime(2011, 4, 26, 15, 29, 25), 'start_time': datetime.datetime(2015, 9, 8, 22, 1, 43), 'rate': 5, 'updated_at': datetime.datetime(2010, 4, 7, 21, 51, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
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{'_id': '9a94b65a-81fa-4297-a42a-ffa0192a5b4e', 'job_description': 'Function-based dedicated projection', 'start_date': datetime.datetime(2012, 5, 7, 20, 26, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 28, 17, 41, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 24, 1, 0, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44983d54-cdfa-48ed-9c48-567ee5ada7b2', 'end_date': datetime.datetime(2014, 12, 14, 5, 17, 14), 'start_time': datetime.datetime(2016, 6, 3, 1, 3, 51), 'rate': 2, 'updated_at': datetime.datetime(2015, 4, 13, 5, 29, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Kenya', 'special_note': 'thanks'}
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{'_id': '310c907f-17c4-4557-8b31-903f4bfe2e06', 'job_description': 'Up-sized object-oriented benchmark', 'start_date': datetime.datetime(2019, 5, 1, 10, 23, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 27, 4, 47, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 31, 13, 4, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bf0b8ff5-426c-43e6-902d-9435b267d58b', 'end_date': datetime.datetime(2014, 8, 28, 19, 51, 49), 'start_time': datetime.datetime(2012, 9, 10, 3, 33, 34), 'rate': 3, 'updated_at': datetime.datetime(2011, 8, 9, 11, 57, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
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{'_id': '8693f3c8-4ea7-48db-b8b2-511c14b7d292', 'job_description': 'Persevering clear-thinking database', 'start_date': datetime.datetime(2016, 7, 19, 2, 4, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 8, 2, 54, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 14, 15, 18, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2109114-cffe-4654-bf2a-e98313065e93', 'end_date': datetime.datetime(2014, 9, 26, 8, 55, 51), 'start_time': datetime.datetime(2010, 2, 25, 11, 50, 25), 'rate': 2, 'updated_at': datetime.datetime(2016, 7, 15, 5, 10, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '34305e02-8f7d-4b0c-8c5e-b67a0dd36140', 'job_description': 'Total directional infrastructure', 'start_date': datetime.datetime(2010, 1, 15, 10, 17, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 25, 17, 40, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 15, 4, 8, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '945cef4c-6453-4509-bb0a-07afb7d877c9', 'end_date': datetime.datetime(2011, 1, 7, 22, 44, 6), 'start_time': datetime.datetime(2014, 12, 10, 1, 0, 23), 'rate': 3, 'updated_at': datetime.datetime(2013, 11, 7, 3, 28, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eb210313-632c-419b-b6e3-64f1702d3a03', 'job_description': 'Proactive fault-tolerant core', 'start_date': datetime.datetime(2010, 5, 6, 11, 10, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 24, 5, 20, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 7, 21, 1, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '688a9331-a7bb-412c-b86e-e5c32740eb6a', 'end_date': datetime.datetime(2012, 3, 26, 0, 14, 35), 'start_time': datetime.datetime(2019, 3, 18, 7, 29, 18), 'rate': 5, 'updated_at': datetime.datetime(2013, 2, 7, 8, 40, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': 'd379d4e8-0e6a-4b33-abcf-64cd9fb795bc', 'job_description': 'Cross-group transitional standardization', 'start_date': datetime.datetime(2014, 12, 4, 7, 7, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 14, 13, 11, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 10, 15, 19, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1dc78aa9-3616-4842-8f89-3063d9161bc7', 'end_date': datetime.datetime(2013, 12, 10, 17, 1, 57), 'start_time': datetime.datetime(2012, 9, 5, 8, 27, 23), 'rate': 4, 'updated_at': datetime.datetime(2018, 8, 31, 19, 56, 52), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '30c9ab1a-7fc0-434f-a699-d58ab8c1386c', 'job_description': 'Balanced holistic system engine', 'start_date': datetime.datetime(2019, 6, 12, 10, 47, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 30, 4, 54, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 4, 15, 26, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '40b8297a-14b8-40ab-ad0e-d3b92c254fb3', 'end_date': datetime.datetime(2014, 10, 29, 2, 0, 23), 'start_time': datetime.datetime(2019, 4, 5, 17, 27, 55), 'rate': 3, 'updated_at': datetime.datetime(2019, 7, 21, 23, 23, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Iraq', 'special_note': 'thanks'}
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{'_id': '9f45310a-b1f3-45d1-a5ba-5a32032f0e54', 'job_description': 'Progressive local process improvement', 'start_date': datetime.datetime(2018, 2, 5, 6, 12, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 11, 3, 25, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 1, 13, 51, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '95224c48-eece-4545-8222-7ceb3cefe91c', 'end_date': datetime.datetime(2015, 6, 26, 17, 24, 52), 'start_time': datetime.datetime(2012, 2, 9, 14, 30, 1), 'rate': 2, 'updated_at': datetime.datetime(2018, 10, 3, 19, 8, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c95f554a-849d-4984-b3d9-d772d38a1780', 'job_description': 'Multi-lateral client-server project', 'start_date': datetime.datetime(2019, 7, 15, 14, 15, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 18, 14, 58, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 16, 15, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aef36169-72e8-458e-ac37-4f8dd8300425', 'end_date': datetime.datetime(2015, 8, 23, 5, 0, 33), 'start_time': datetime.datetime(2015, 2, 19, 6, 46, 28), 'rate': 3, 'updated_at': datetime.datetime(2019, 2, 22, 16, 23, 42), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '240f6e61-79be-4423-81d3-0d403dd3bde2', 'job_description': 'Optimized systematic process improvement', 'start_date': datetime.datetime(2017, 1, 12, 1, 22, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 14, 3, 21, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 11, 12, 11, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5b46c21c-d919-416a-bca2-7f5da632aea3', 'end_date': datetime.datetime(2018, 12, 21, 3, 19, 57), 'start_time': datetime.datetime(2011, 12, 27, 20, 51, 7), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 22, 1, 54, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Finland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aef6903b-e55e-45b9-a139-eeb9996e4d37', 'job_description': 'Organic local monitoring', 'start_date': datetime.datetime(2019, 5, 27, 20, 34, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 29, 10, 56, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 15, 1, 2, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a1933666-7c0c-45b3-846d-ec61bda79d98', 'end_date': datetime.datetime(2013, 2, 2, 13, 33, 13), 'start_time': datetime.datetime(2010, 10, 13, 9, 10, 28), 'rate': 2, 'updated_at': datetime.datetime(2013, 4, 27, 22, 14, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4cc8999c-8af4-43c0-80a3-21fa47b1e7bc', 'job_description': 'Implemented reciprocal methodology', 'start_date': datetime.datetime(2018, 8, 23, 18, 3, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 7, 13, 42, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 6, 1, 51, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7938b8bb-a0ec-4866-a125-43a4de55c4bb', 'end_date': datetime.datetime(2019, 1, 11, 11, 20, 25), 'start_time': datetime.datetime(2015, 5, 20, 9, 10, 30), 'rate': 3, 'updated_at': datetime.datetime(2011, 3, 13, 18, 30, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c7880ece-194c-4763-a182-fd599611a071', 'job_description': 'Managed explicit website', 'start_date': datetime.datetime(2016, 10, 30, 13, 35, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 26, 9, 24, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 7, 8, 52, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9dd194e9-deb0-4b55-b568-90cfe8b0449e', 'end_date': datetime.datetime(2017, 5, 14, 22, 56, 46), 'start_time': datetime.datetime(2011, 7, 9, 22, 40, 52), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 24, 20, 48, 28), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '956ccc27-2253-4f2e-b34b-47beb923e9c6', 'job_description': 'Virtual systemic utilisation', 'start_date': datetime.datetime(2018, 7, 8, 3, 12, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 23, 4, 35, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 29, 22, 22, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a8e90c4c-6229-4337-888c-f6a2eeb740b1', 'end_date': datetime.datetime(2013, 8, 10, 12, 5, 43), 'start_time': datetime.datetime(2018, 12, 26, 18, 44, 28), 'rate': 3, 'updated_at': datetime.datetime(2016, 7, 28, 18, 24, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f881ee2c-3d2f-402a-ab39-cbbb8d336308', 'job_description': 'Switchable mission-critical architecture', 'start_date': datetime.datetime(2015, 1, 27, 17, 35, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 23, 21, 27, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 10, 9, 11, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fe1fc7c7-8240-480b-8478-82330e706577', 'end_date': datetime.datetime(2012, 1, 10, 12, 40, 36), 'start_time': datetime.datetime(2010, 5, 16, 1, 52, 46), 'rate': 5, 'updated_at': datetime.datetime(2015, 12, 8, 3, 41, 4), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f074f2a6-2a21-4bd3-b0f6-56fa4f47c394', 'job_description': 'Automated eco-centric secured line', 'start_date': datetime.datetime(2010, 3, 29, 14, 54, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 23, 14, 18, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 28, 17, 8, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0e7a0fa-c5a0-4909-a777-df151d94e118', 'end_date': datetime.datetime(2013, 9, 17, 11, 14, 24), 'start_time': datetime.datetime(2013, 12, 25, 19, 8, 59), 'rate': 3, 'updated_at': datetime.datetime(2015, 11, 19, 0, 1, 31), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4cb0afe9-5b76-4ca7-9693-7c0302d3fd8a', 'job_description': 'Open-source intermediate service-desk', 'start_date': datetime.datetime(2014, 10, 23, 5, 9, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 29, 17, 42, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 25, 18, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af7b5a86-978c-4c4b-a030-9ae4342fa790', 'end_date': datetime.datetime(2011, 10, 21, 11, 19, 44), 'start_time': datetime.datetime(2013, 11, 5, 14, 22, 21), 'rate': 5, 'updated_at': datetime.datetime(2018, 4, 24, 21, 19, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c294343e-2833-4285-bbac-ea51ce8f2c88', 'job_description': 'Polarised 4th generation functionalities', 'start_date': datetime.datetime(2014, 3, 22, 8, 34, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 21, 8, 32, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 26, 5, 35, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1fe7be79-151e-4341-9a0b-a20fe1f7d72d', 'end_date': datetime.datetime(2018, 4, 24, 17, 55, 24), 'start_time': datetime.datetime(2017, 5, 8, 22, 48, 31), 'rate': 5, 'updated_at': datetime.datetime(2010, 5, 20, 8, 11, 5), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8a8cf47-c3e7-4311-9e82-32ef31fdedad', 'job_description': 'Grass-roots local time-frame', 'start_date': datetime.datetime(2010, 4, 14, 6, 37, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 4, 17, 5, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 14, 14, 41, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b5724f6c-eb63-441e-a571-0b0dd927e62a', 'end_date': datetime.datetime(2014, 5, 16, 1, 12, 18), 'start_time': datetime.datetime(2010, 6, 24, 14, 43, 26), 'rate': 2, 'updated_at': datetime.datetime(2014, 9, 10, 20, 45, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd7a17927-8592-4ab1-9754-513347b0c68f', 'job_description': 'Distributed contextually-based architecture', 'start_date': datetime.datetime(2016, 6, 9, 1, 43, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 18, 21, 51, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 21, 17, 23, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3595bf4e-744b-4f83-a8d4-e7a84337342e', 'end_date': datetime.datetime(2016, 12, 21, 9, 40, 5), 'start_time': datetime.datetime(2013, 3, 23, 22, 14, 32), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 21, 3, 40, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '030f3d9d-5bff-4f10-8203-b67bf774d515', 'job_description': 'Down-sized directional database', 'start_date': datetime.datetime(2014, 12, 6, 2, 49, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 7, 9, 53, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 29, 17, 9, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f257d7e7-44f4-4805-89c0-5b9263a95620', 'end_date': datetime.datetime(2016, 9, 8, 16, 3, 3), 'start_time': datetime.datetime(2014, 11, 20, 0, 9, 22), 'rate': 3, 'updated_at': datetime.datetime(2010, 11, 13, 14, 50, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Costa Rica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '08e046a9-ada7-4fcf-9d71-3e35003cf260', 'job_description': 'Synergistic optimizing intranet', 'start_date': datetime.datetime(2019, 7, 12, 3, 35, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 8, 14, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 1, 17, 31, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9bd6948-fbe7-4e61-b217-63c426d5aae0', 'end_date': datetime.datetime(2017, 7, 16, 9, 47, 3), 'start_time': datetime.datetime(2012, 12, 23, 2, 49, 4), 'rate': 2, 'updated_at': datetime.datetime(2016, 2, 11, 17, 53, 1), 'job_title': 'CoffeeMaker', 'service_id': 'United States Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd3c0d821-932c-4542-a4f4-2fc3c7e0f80c', 'job_description': 'Seamless bandwidth-monitored function', 'start_date': datetime.datetime(2012, 12, 31, 21, 29, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 7, 22, 48, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 7, 16, 58, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c9b91b29-2df6-43fd-b391-9e38c63b9858', 'end_date': datetime.datetime(2013, 12, 22, 21, 21, 23), 'start_time': datetime.datetime(2019, 6, 18, 22, 10, 51), 'rate': 2, 'updated_at': datetime.datetime(2019, 4, 2, 23, 55, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '356729ca-19cd-40df-be02-aaf87c0ad243', 'job_description': 'Integrated 5th generation local area network', 'start_date': datetime.datetime(2012, 12, 13, 5, 38, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 1, 19, 23, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 10, 16, 30, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2f6ecb7a-0ee1-4494-a806-c967007254a6', 'end_date': datetime.datetime(2012, 3, 18, 5, 28, 14), 'start_time': datetime.datetime(2013, 12, 15, 11, 11, 18), 'rate': 4, 'updated_at': datetime.datetime(2013, 1, 1, 6, 21, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e9a1c19e-66c8-45c0-8e1c-a5e2b66024a7', 'job_description': 'Re-contextualized needs-based forecast', 'start_date': datetime.datetime(2018, 5, 3, 23, 15, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 6, 7, 21, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 26, 8, 21, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7d4ca070-6dbd-47cc-b611-7af17da0f1a2', 'end_date': datetime.datetime(2013, 5, 29, 18, 27, 28), 'start_time': datetime.datetime(2017, 1, 31, 9, 58, 44), 'rate': 2, 'updated_at': datetime.datetime(2012, 4, 7, 18, 30, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '694a4983-95a4-4461-8a94-47d936726a1c', 'job_description': 'Monitored heuristic strategy', 'start_date': datetime.datetime(2019, 11, 9, 9, 18, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 27, 1, 49, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 5, 16, 23, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '243e924f-c5e0-49c5-b2fc-eaa048af970a', 'end_date': datetime.datetime(2013, 1, 11, 21, 37, 59), 'start_time': datetime.datetime(2012, 1, 30, 11, 50, 59), 'rate': 5, 'updated_at': datetime.datetime(2016, 5, 23, 9, 47, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c66922ba-eb98-4de7-8cf5-ed52d33cf8ea', 'job_description': 'Team-oriented tangible matrices', 'start_date': datetime.datetime(2018, 2, 28, 17, 27, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 13, 8, 19, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 28, 15, 4, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '484e5dd7-4d43-4181-af10-12c802de0840', 'end_date': datetime.datetime(2011, 11, 14, 19, 18, 24), 'start_time': datetime.datetime(2013, 1, 25, 12, 12, 37), 'rate': 1, 'updated_at': datetime.datetime(2010, 12, 3, 16, 43, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Equatorial Guinea', 'special_note': 'thanks'}
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{'_id': '17deed6f-8c94-4808-8ed4-2115a4e8ddf1', 'job_description': 'Reverse-engineered logistical knowledge base', 'start_date': datetime.datetime(2012, 1, 2, 11, 33, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 25, 12, 34, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 25, 6, 21, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dba5cd11-e571-4686-b338-b61a5123e18e', 'end_date': datetime.datetime(2016, 6, 6, 1, 18, 36), 'start_time': datetime.datetime(2019, 8, 12, 7, 36, 30), 'rate': 5, 'updated_at': datetime.datetime(2015, 7, 30, 14, 6, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
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{'_id': 'c0ad635c-deb5-4f3e-b6e1-4c87471f75c5', 'job_description': 'Stand-alone attitude-oriented flexibility', 'start_date': datetime.datetime(2010, 8, 20, 1, 19, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 31, 1, 49, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 6, 15, 43, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '976100ff-905e-44e6-84cf-9acaf99dc553', 'end_date': datetime.datetime(2011, 3, 30, 1, 17, 16), 'start_time': datetime.datetime(2010, 10, 14, 9, 41, 38), 'rate': 5, 'updated_at': datetime.datetime(2017, 4, 28, 11, 43, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
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{'_id': 'ec818a63-ac7f-491b-9c18-892176bd3d81', 'job_description': 'Quality-focused non-volatile analyzer', 'start_date': datetime.datetime(2019, 8, 15, 16, 40, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 17, 19, 21, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 23, 19, 59, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7bc96e0b-5cad-4e84-b2a9-8c0279ff99ca', 'end_date': datetime.datetime(2014, 9, 13, 15, 41, 47), 'start_time': datetime.datetime(2019, 5, 22, 9, 59, 51), 'rate': 3, 'updated_at': datetime.datetime(2011, 4, 25, 11, 31, 30), 'job_title': 'CoffeeMaker', 'service_id': 'French Polynesia', 'special_note': 'thanks'}
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{'_id': '10a4b710-2eaa-4ae2-85ca-f47d64099372', 'job_description': 'Digitized motivating middleware', 'start_date': datetime.datetime(2012, 8, 14, 1, 41, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 12, 2, 7, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 17, 17, 58, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c5a9950-4b37-4457-8c38-92801cfd8318', 'end_date': datetime.datetime(2019, 5, 10, 20, 4, 42), 'start_time': datetime.datetime(2017, 10, 10, 13, 1, 23), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 20, 21, 2, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
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{'_id': '32308951-86e9-47ca-a949-40bc66a902ae', 'job_description': 'Synchronised 24 hour challenge', 'start_date': datetime.datetime(2016, 3, 30, 10, 31, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 1, 2, 12, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 20, 8, 10, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '71014f20-6331-4cef-bc7a-82b10ef471ae', 'end_date': datetime.datetime(2014, 5, 7, 8, 36, 17), 'start_time': datetime.datetime(2013, 6, 14, 1, 27, 32), 'rate': 5, 'updated_at': datetime.datetime(2012, 12, 17, 12, 37, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
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{'_id': 'c5aa4288-ee55-4e28-82cd-c229012b6dbd', 'job_description': 'Programmable zero defect productivity', 'start_date': datetime.datetime(2017, 1, 27, 2, 21, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 8, 1, 5, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 1, 18, 44, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '269d228d-a636-4ad9-a030-42de6517b9ac', 'end_date': datetime.datetime(2013, 11, 9, 17, 32, 52), 'start_time': datetime.datetime(2011, 10, 24, 21, 20, 29), 'rate': 1, 'updated_at': datetime.datetime(2013, 3, 21, 0, 30, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
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{'_id': '8ef6ec1a-cf8a-4218-9a17-34735732b637', 'job_description': 'Networked mobile data-warehouse', 'start_date': datetime.datetime(2019, 9, 20, 18, 59, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 2, 1, 17, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 11, 22, 2, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4bf7efd9-0de2-4fb1-81e4-38ae4ee932e8', 'end_date': datetime.datetime(2012, 4, 4, 22, 12, 34), 'start_time': datetime.datetime(2013, 5, 9, 23, 32, 36), 'rate': 4, 'updated_at': datetime.datetime(2015, 1, 8, 4, 4, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Macedonia', 'special_note': 'thanks'}
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{'_id': '2ce58c1b-8b99-43b3-91fb-305cd9d230a0', 'job_description': 'De-engineered encompassing parallelism', 'start_date': datetime.datetime(2010, 4, 6, 21, 57, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 18, 21, 0, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 6, 0, 5, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd18cfd4f-c478-4cf5-856b-8e2ea2e1f2e4', 'end_date': datetime.datetime(2014, 7, 28, 1, 12, 19), 'start_time': datetime.datetime(2013, 8, 21, 8, 30, 28), 'rate': 5, 'updated_at': datetime.datetime(2016, 5, 4, 10, 23, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
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{'_id': 'd0dad7ae-a2d2-472c-b232-fb102e40edfd', 'job_description': 'Integrated upward-trending protocol', 'start_date': datetime.datetime(2018, 6, 15, 4, 28, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 16, 23, 35, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 18, 8, 30, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d525f6e-f1ca-4fc1-8302-cddaa01be44e', 'end_date': datetime.datetime(2015, 12, 5, 9, 5, 41), 'start_time': datetime.datetime(2018, 9, 2, 1, 22, 40), 'rate': 1, 'updated_at': datetime.datetime(2010, 9, 11, 18, 46, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
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{'_id': '040e751d-f9d6-4f1e-9b92-7fd5c6c60b3f', 'job_description': 'Implemented foreground interface', 'start_date': datetime.datetime(2019, 8, 3, 3, 41, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 27, 9, 31, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 8, 11, 23, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0fb20105-de6c-4257-8ae1-6b8cec108b92', 'end_date': datetime.datetime(2017, 1, 20, 15, 37, 14), 'start_time': datetime.datetime(2014, 8, 25, 18, 7, 57), 'rate': 4, 'updated_at': datetime.datetime(2015, 4, 30, 11, 51, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': '9bc1098b-dda5-4053-b58e-c495e9b13318', 'job_description': 'Expanded directional circuit', 'start_date': datetime.datetime(2012, 3, 8, 14, 32, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 1, 0, 56, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 20, 7, 31, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '01d1d80f-3898-4aad-a20f-5abd52f30fde', 'end_date': datetime.datetime(2011, 7, 20, 2, 28, 43), 'start_time': datetime.datetime(2019, 10, 15, 6, 55, 53), 'rate': 4, 'updated_at': datetime.datetime(2014, 6, 6, 23, 44, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
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{'_id': '7a609384-a10e-4383-9c82-fbcf32080137', 'job_description': 'Horizontal optimizing architecture', 'start_date': datetime.datetime(2015, 5, 26, 18, 29, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 1, 15, 24, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 22, 8, 17, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd010e0b5-6eb5-44c4-a092-869ef0da883c', 'end_date': datetime.datetime(2018, 11, 12, 18, 38, 42), 'start_time': datetime.datetime(2017, 3, 24, 1, 59, 55), 'rate': 1, 'updated_at': datetime.datetime(2014, 12, 26, 22, 40, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
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{'_id': 'cd56b3ba-c392-44dc-aa64-cb7929189d1c', 'job_description': 'Implemented regional capability', 'start_date': datetime.datetime(2016, 11, 13, 4, 25, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 30, 13, 46, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 17, 0, 11, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4c85361c-4ebe-47d8-afde-a166bf64a477', 'end_date': datetime.datetime(2013, 7, 23, 21, 7, 19), 'start_time': datetime.datetime(2012, 3, 8, 2, 15, 17), 'rate': 2, 'updated_at': datetime.datetime(2014, 2, 16, 9, 58, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
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{'_id': '9dd527f4-826b-4a5a-a0ca-26db1f45afe7', 'job_description': 'Switchable 6th generation synergy', 'start_date': datetime.datetime(2013, 7, 20, 2, 21, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 27, 6, 32, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 9, 21, 53, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '31041615-84e7-4a7f-bf44-c0689d536b85', 'end_date': datetime.datetime(2012, 1, 19, 11, 23, 34), 'start_time': datetime.datetime(2019, 3, 5, 16, 40, 43), 'rate': 2, 'updated_at': datetime.datetime(2011, 4, 28, 6, 12, 15), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
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{'_id': 'c1e82b3c-8628-4830-9f41-b7e9808a9f4c', 'job_description': 'Face to face homogeneous project', 'start_date': datetime.datetime(2011, 2, 16, 7, 36, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 24, 8, 44, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 18, 8, 19, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0cfdc096-1e6d-4b19-9974-afc90d75bfa4', 'end_date': datetime.datetime(2013, 12, 8, 0, 52, 56), 'start_time': datetime.datetime(2012, 8, 28, 21, 14, 16), 'rate': 4, 'updated_at': datetime.datetime(2017, 9, 2, 13, 43, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
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{'_id': 'cdec5d55-9bdb-45a1-9ae3-36e3af7689bc', 'job_description': 'Implemented intermediate array', 'start_date': datetime.datetime(2013, 3, 18, 1, 37, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 14, 9, 43, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 9, 22, 37, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd7415e44-6370-497f-8a75-df16231d86c6', 'end_date': datetime.datetime(2012, 9, 6, 15, 54, 13), 'start_time': datetime.datetime(2019, 1, 25, 11, 59, 46), 'rate': 3, 'updated_at': datetime.datetime(2015, 3, 27, 4, 59, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
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{'_id': '743d759f-17f3-4abb-be4e-e205499f36ae', 'job_description': 'Synergistic tangible leverage', 'start_date': datetime.datetime(2012, 12, 31, 22, 17, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 6, 12, 4, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 15, 20, 31, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b6caf4e9-7f99-4157-9c2b-f63c72f0702e', 'end_date': datetime.datetime(2016, 4, 24, 10, 57, 52), 'start_time': datetime.datetime(2013, 9, 29, 16, 24, 14), 'rate': 5, 'updated_at': datetime.datetime(2011, 12, 22, 10, 8, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Sri Lanka', 'special_note': 'thanks'}
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{'_id': '3212b676-fb19-4add-853c-eec41e42b841', 'job_description': 'Customer-focused global pricing structure', 'start_date': datetime.datetime(2014, 8, 9, 9, 40, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 19, 14, 52, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 23, 13, 34, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'de6d39ca-4265-4fa4-9229-bc50262f3e1f', 'end_date': datetime.datetime(2019, 4, 13, 23, 11, 37), 'start_time': datetime.datetime(2019, 5, 30, 2, 12, 18), 'rate': 3, 'updated_at': datetime.datetime(2016, 7, 21, 11, 45, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
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{'_id': 'a0f678df-1de0-4026-8c6f-8035a57b14e5', 'job_description': 'Realigned bifurcated collaboration', 'start_date': datetime.datetime(2016, 6, 2, 13, 44, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 19, 1, 14, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 7, 15, 19, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'db225a9f-ff77-4ebb-83b8-b7036ced7293', 'end_date': datetime.datetime(2017, 6, 19, 12, 24, 50), 'start_time': datetime.datetime(2013, 4, 21, 9, 2, 42), 'rate': 3, 'updated_at': datetime.datetime(2011, 5, 26, 5, 49, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': '61683fc1-7b4b-4d35-bbdf-1c72b0a3c968', 'job_description': 'Up-sized dynamic parallelism', 'start_date': datetime.datetime(2017, 12, 20, 16, 44, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 15, 17, 8, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 8, 3, 19, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0aca05b8-1d2a-491c-b1ee-348af1126d04', 'end_date': datetime.datetime(2019, 1, 30, 9, 41, 8), 'start_time': datetime.datetime(2012, 2, 9, 19, 25, 46), 'rate': 1, 'updated_at': datetime.datetime(2014, 2, 12, 23, 3, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
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{'_id': '50d39825-a2e0-44c1-8191-efe9c262a969', 'job_description': 'Synergized even-keeled encoding', 'start_date': datetime.datetime(2012, 6, 14, 3, 35, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 31, 16, 24, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 2, 19, 5, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8b8cc905-8969-4b68-a224-486e776ce947', 'end_date': datetime.datetime(2013, 4, 15, 2, 8, 36), 'start_time': datetime.datetime(2018, 4, 6, 8, 18, 18), 'rate': 3, 'updated_at': datetime.datetime(2017, 6, 20, 2, 30, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
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{'_id': 'eaca986d-6f6f-46b9-8e65-97d473d48791', 'job_description': 'Multi-lateral static monitoring', 'start_date': datetime.datetime(2010, 4, 13, 0, 37, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 20, 6, 9, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 28, 4, 57, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '81bfc535-d11d-4344-88f3-e08e0e8b327b', 'end_date': datetime.datetime(2012, 1, 13, 7, 50, 3), 'start_time': datetime.datetime(2014, 1, 3, 5, 46, 57), 'rate': 5, 'updated_at': datetime.datetime(2010, 8, 3, 6, 40, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
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{'_id': 'aed5dfed-531e-4d8a-8ac6-fee4fea757ce', 'job_description': 'Stand-alone system-worthy algorithm', 'start_date': datetime.datetime(2016, 4, 23, 8, 31, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 8, 12, 43, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 1, 5, 44, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b672e7a6-3d3f-485c-aabc-975c88f483b6', 'end_date': datetime.datetime(2012, 10, 10, 4, 36, 11), 'start_time': datetime.datetime(2015, 1, 31, 3, 25, 26), 'rate': 5, 'updated_at': datetime.datetime(2016, 8, 3, 0, 25, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
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{'_id': 'aa380de6-7e27-4bf1-ac2e-eb445d6c2a63', 'job_description': 'Programmable multi-tasking open architecture', 'start_date': datetime.datetime(2018, 1, 10, 21, 56, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 8, 2, 4, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 10, 16, 55, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '351de584-8b34-4e71-bb44-4c14f2761f11', 'end_date': datetime.datetime(2016, 6, 9, 20, 39, 28), 'start_time': datetime.datetime(2016, 4, 13, 21, 2, 33), 'rate': 5, 'updated_at': datetime.datetime(2011, 11, 21, 10, 0, 31), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ff45722e-fd59-4c77-88d7-84d963c7f83b', 'job_description': 'Organic background strategy', 'start_date': datetime.datetime(2011, 11, 21, 17, 52, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 2, 11, 49, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 19, 14, 50, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f426b12f-4eb3-4c33-a85c-c0d3af0ddf3b', 'end_date': datetime.datetime(2015, 12, 9, 9, 49, 27), 'start_time': datetime.datetime(2014, 3, 23, 8, 16, 2), 'rate': 5, 'updated_at': datetime.datetime(2015, 5, 15, 10, 45, 23), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ded0fc2-0b7c-49d0-a971-accc19b978fe', 'job_description': 'User-friendly bottom-line toolset', 'start_date': datetime.datetime(2010, 7, 12, 19, 9, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 29, 11, 2, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 27, 14, 57, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5a2e46e3-b3ac-468d-9f2a-3a8a69a8ec1b', 'end_date': datetime.datetime(2014, 8, 4, 5, 22, 2), 'start_time': datetime.datetime(2014, 1, 23, 0, 18, 44), 'rate': 2, 'updated_at': datetime.datetime(2019, 3, 11, 6, 44, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2ddb68f8-e2ae-4f23-9bed-d1fa6b9bb8ad', 'job_description': 'Profound disintermediate encoding', 'start_date': datetime.datetime(2013, 12, 2, 17, 45, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 11, 18, 26, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 11, 19, 40, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '35047e8e-ac5c-4933-937d-9d64b7614d5a', 'end_date': datetime.datetime(2010, 8, 25, 21, 34, 37), 'start_time': datetime.datetime(2018, 7, 26, 12, 9, 32), 'rate': 5, 'updated_at': datetime.datetime(2015, 12, 19, 14, 24, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
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{'_id': '4cb9c211-f575-4808-87b8-e7965f47faf3', 'job_description': 'Inverse human-resource productivity', 'start_date': datetime.datetime(2017, 1, 22, 22, 58, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 16, 18, 15, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 11, 18, 16, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f338f98d-c611-415b-9d5e-154c0706220b', 'end_date': datetime.datetime(2013, 9, 29, 2, 42, 31), 'start_time': datetime.datetime(2019, 10, 30, 10, 30, 48), 'rate': 3, 'updated_at': datetime.datetime(2015, 12, 4, 7, 48, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '124f7fab-9482-4ebd-a0be-4b0aff111ad8', 'job_description': 'Multi-tiered mobile policy', 'start_date': datetime.datetime(2019, 7, 1, 9, 52, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 25, 6, 40, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 4, 6, 55, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '552c06e9-f0ba-4180-bd28-2042b4ee58a8', 'end_date': datetime.datetime(2019, 6, 21, 3, 52, 7), 'start_time': datetime.datetime(2019, 1, 18, 8, 2, 38), 'rate': 3, 'updated_at': datetime.datetime(2019, 4, 1, 17, 47, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
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{'_id': 'bbbd25a5-b609-4c5a-acf0-6a93b8fe487f', 'job_description': 'Customer-focused modular array', 'start_date': datetime.datetime(2013, 9, 29, 9, 30, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 13, 9, 41, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 24, 12, 58, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2adc01ba-9aee-40b1-9b29-dca6c485d702', 'end_date': datetime.datetime(2010, 5, 4, 16, 4, 55), 'start_time': datetime.datetime(2013, 11, 26, 10, 45, 22), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 16, 23, 6, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
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{'_id': 'c1a1de1e-4d95-4dc5-911d-b7a0bd3e1336', 'job_description': 'Digitized web-enabled solution', 'start_date': datetime.datetime(2011, 2, 6, 23, 49, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 14, 7, 27, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 20, 12, 47, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '249d0095-ea26-495b-9d37-3a2aa1f800b5', 'end_date': datetime.datetime(2010, 1, 24, 16, 17, 19), 'start_time': datetime.datetime(2014, 3, 31, 13, 27, 13), 'rate': 2, 'updated_at': datetime.datetime(2016, 10, 29, 9, 3, 1), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
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{'_id': '4545e4e9-4b66-4ed4-89ff-3bffbefc876a', 'job_description': 'Balanced tangible moderator', 'start_date': datetime.datetime(2014, 7, 13, 10, 30, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 12, 4, 49, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 22, 17, 53, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cb4d04ac-42ae-4074-86e4-935ab47efb35', 'end_date': datetime.datetime(2019, 8, 21, 15, 34, 48), 'start_time': datetime.datetime(2017, 5, 30, 10, 43, 57), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 25, 19, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
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{'_id': '78b8c1fd-87f9-4f8a-9e79-20a07c4beb36', 'job_description': 'Grass-roots composite installation', 'start_date': datetime.datetime(2013, 3, 17, 1, 51, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 22, 7, 7, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 9, 21, 53, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '708c9963-1d03-4c42-a123-ae0d7cdc8706', 'end_date': datetime.datetime(2015, 10, 16, 19, 48, 39), 'start_time': datetime.datetime(2018, 11, 1, 14, 57, 16), 'rate': 3, 'updated_at': datetime.datetime(2015, 12, 7, 6, 44, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '42458ec0-14c0-4675-8c5d-29ac98115337', 'job_description': 'Intuitive cohesive superstructure', 'start_date': datetime.datetime(2017, 10, 8, 20, 19, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 28, 1, 27, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 12, 0, 10, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'caf47b8e-aef0-4a15-845c-38065a0a752f', 'end_date': datetime.datetime(2010, 3, 4, 20, 1, 38), 'start_time': datetime.datetime(2019, 5, 17, 21, 6, 51), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 23, 16, 50, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
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{'_id': 'fb6eaf29-e6ef-4a44-977b-14f940274d4a', 'job_description': 'Synergistic clear-thinking neural-net', 'start_date': datetime.datetime(2013, 9, 8, 16, 33, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 30, 16, 10, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 30, 3, 58, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '10d50c1a-07a3-4045-b5ce-fa072d1329ce', 'end_date': datetime.datetime(2014, 9, 22, 6, 59, 56), 'start_time': datetime.datetime(2018, 4, 17, 3, 52, 43), 'rate': 5, 'updated_at': datetime.datetime(2014, 12, 15, 6, 16, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
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{'_id': '6c9a3a9c-1d59-466e-952f-7c6951128f11', 'job_description': 'Function-based web-enabled database', 'start_date': datetime.datetime(2018, 9, 12, 3, 34, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 23, 8, 36, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 12, 16, 25, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '85444386-a116-4ed1-81ff-61acffdc5cec', 'end_date': datetime.datetime(2013, 8, 9, 20, 54, 38), 'start_time': datetime.datetime(2019, 7, 24, 0, 5, 2), 'rate': 2, 'updated_at': datetime.datetime(2018, 6, 28, 1, 10, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Trinidad and Tobago', 'special_note': 'thanks'}
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{'_id': '237fe9b2-c96d-4f6f-9755-157e128df707', 'job_description': 'Streamlined full-range alliance', 'start_date': datetime.datetime(2011, 1, 14, 23, 50, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 12, 16, 9, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 22, 2, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'efa6c34e-2c86-45c4-9931-e790f0dfd6c2', 'end_date': datetime.datetime(2014, 4, 28, 16, 9, 5), 'start_time': datetime.datetime(2015, 4, 2, 23, 59, 16), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 18, 6, 42, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
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{'_id': '43ede75b-40cc-4728-90a0-668ff8145208', 'job_description': 'Seamless tertiary definition', 'start_date': datetime.datetime(2011, 7, 4, 13, 46, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 4, 5, 10, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 18, 4, 47, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '74884f25-3804-40ed-ac63-d4ed8a63f3de', 'end_date': datetime.datetime(2017, 7, 5, 10, 0, 48), 'start_time': datetime.datetime(2014, 5, 17, 1, 58, 51), 'rate': 4, 'updated_at': datetime.datetime(2011, 10, 9, 5, 28, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
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{'_id': '3a6f918a-b488-498f-bbd8-a71040011eb8', 'job_description': 'Robust fault-tolerant data-warehouse', 'start_date': datetime.datetime(2018, 8, 6, 1, 47, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 21, 8, 27, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 24, 4, 46, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5711f4b9-f999-4dcb-b2b8-4c953ef4f742', 'end_date': datetime.datetime(2016, 11, 23, 11, 24, 4), 'start_time': datetime.datetime(2015, 1, 10, 9, 43, 56), 'rate': 5, 'updated_at': datetime.datetime(2016, 10, 29, 13, 13, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Rwanda', 'special_note': 'thanks'}
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{'_id': '68473a49-65ae-4c96-8e43-90cf1ff3ebf2', 'job_description': 'Object-based actuating info-mediaries', 'start_date': datetime.datetime(2011, 3, 28, 8, 39, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 25, 21, 45, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 15, 17, 18, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '735f9c92-9d53-44b7-928a-2e9ee801a019', 'end_date': datetime.datetime(2015, 2, 7, 11, 15, 26), 'start_time': datetime.datetime(2010, 5, 20, 15, 36, 54), 'rate': 3, 'updated_at': datetime.datetime(2014, 9, 25, 16, 49, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9a3c7b2d-1faf-42e2-bfe3-a0aa703db6e5', 'job_description': 'Extended systematic Graphic Interface', 'start_date': datetime.datetime(2016, 6, 13, 22, 17, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 23, 15, 32, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 3, 0, 7, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c61234bd-e17d-4bda-a2f7-1ba509da3645', 'end_date': datetime.datetime(2016, 9, 27, 13, 47, 29), 'start_time': datetime.datetime(2016, 2, 6, 23, 40, 13), 'rate': 1, 'updated_at': datetime.datetime(2010, 4, 18, 16, 49, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
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{'_id': '857d04a9-85ef-46a6-af9c-acd35580ebef', 'job_description': 'Reactive background hardware', 'start_date': datetime.datetime(2019, 1, 5, 20, 39, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 26, 19, 34, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 9, 20, 40, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '16529720-3966-4930-b572-22d5327c65e3', 'end_date': datetime.datetime(2016, 6, 11, 21, 20, 46), 'start_time': datetime.datetime(2012, 4, 24, 13, 45, 21), 'rate': 3, 'updated_at': datetime.datetime(2012, 1, 29, 7, 51, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
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{'_id': 'a84880d1-970a-4ad7-9ae8-b2bfbcad493b', 'job_description': 'Fully-configurable transitional capacity', 'start_date': datetime.datetime(2017, 12, 23, 12, 2, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 22, 9, 21, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 23, 3, 51, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '16736b0e-85bb-4d19-864c-3fcef58c52ff', 'end_date': datetime.datetime(2010, 11, 18, 3, 22, 11), 'start_time': datetime.datetime(2016, 4, 12, 4, 19, 58), 'rate': 4, 'updated_at': datetime.datetime(2017, 6, 13, 18, 16, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
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{'_id': '146cc869-4c42-49ad-8a21-46285d060dbe', 'job_description': 'Grass-roots systematic protocol', 'start_date': datetime.datetime(2012, 4, 12, 23, 12, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 18, 11, 59, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 3, 16, 26, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '35db91c5-86b3-4584-b4e5-2b5681c88072', 'end_date': datetime.datetime(2015, 3, 16, 17, 4, 59), 'start_time': datetime.datetime(2016, 2, 4, 20, 6, 14), 'rate': 4, 'updated_at': datetime.datetime(2015, 12, 18, 1, 7, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': '34401e5d-e9ad-4519-a3fe-4817d544ee91', 'job_description': 'Multi-layered stable circuit', 'start_date': datetime.datetime(2017, 9, 3, 5, 26, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 3, 16, 27, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 4, 0, 29, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1e59b0d5-d085-4e36-a887-e5855dffc67e', 'end_date': datetime.datetime(2015, 7, 10, 10, 47, 42), 'start_time': datetime.datetime(2018, 4, 26, 7, 25, 4), 'rate': 3, 'updated_at': datetime.datetime(2018, 12, 22, 3, 50, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
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{'_id': '1ec96727-23b5-4308-a106-b30b71092403', 'job_description': 'Horizontal 24/7 help-desk', 'start_date': datetime.datetime(2012, 2, 27, 22, 28, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 20, 21, 9, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 3, 14, 22, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5d3decba-cc21-43de-96d3-98ac8cab7f34', 'end_date': datetime.datetime(2013, 5, 21, 7, 13, 35), 'start_time': datetime.datetime(2016, 12, 22, 1, 32, 16), 'rate': 2, 'updated_at': datetime.datetime(2016, 10, 21, 17, 55, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': '10fb731d-ffab-49e6-93de-ce1a67bd6618', 'job_description': 'Innovative optimal moratorium', 'start_date': datetime.datetime(2010, 6, 11, 14, 2, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 16, 6, 6, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 19, 16, 4, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '97a0d92c-ef22-4600-860b-cb6ba6fa8f8b', 'end_date': datetime.datetime(2016, 7, 17, 18, 58, 31), 'start_time': datetime.datetime(2015, 4, 20, 0, 47, 38), 'rate': 1, 'updated_at': datetime.datetime(2011, 2, 20, 21, 1, 38), 'job_title': 'CoffeeMaker', 'service_id': 'United States Minor Outlying Islands', 'special_note': 'thanks'}
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{'_id': 'ea18d0d9-ad89-4b40-8dcc-26b77dc3c315', 'job_description': 'Universal multi-tasking database', 'start_date': datetime.datetime(2019, 5, 27, 13, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 14, 23, 48, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 3, 23, 57, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '884fdc80-8134-4d44-9c16-025eb892950e', 'end_date': datetime.datetime(2018, 6, 11, 18, 28, 24), 'start_time': datetime.datetime(2013, 1, 23, 16, 22, 22), 'rate': 5, 'updated_at': datetime.datetime(2016, 12, 2, 7, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '03f23b8f-cd42-40b6-966e-cf376ed5c222', 'job_description': 'Team-oriented holistic customer loyalty', 'start_date': datetime.datetime(2019, 1, 15, 13, 2, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 2, 17, 22, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 11, 22, 33, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0bd91490-27a6-4a53-89d7-4336fbfe9c99', 'end_date': datetime.datetime(2013, 1, 10, 8, 28, 16), 'start_time': datetime.datetime(2019, 4, 17, 3, 31, 32), 'rate': 3, 'updated_at': datetime.datetime(2011, 3, 20, 8, 4, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Aruba', 'special_note': 'thanks'}
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{'_id': 'e45ca930-195b-43f2-80fd-141604cf570c', 'job_description': 'Reactive real-time complexity', 'start_date': datetime.datetime(2012, 7, 21, 18, 29, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 16, 10, 58, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 19, 10, 48, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '35f1af16-bb58-4a49-8232-8d661c04cd16', 'end_date': datetime.datetime(2010, 6, 18, 2, 27, 2), 'start_time': datetime.datetime(2014, 11, 18, 14, 42, 12), 'rate': 1, 'updated_at': datetime.datetime(2010, 2, 28, 23, 18, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '24887636-3894-4449-b0b8-555b64705ca9', 'job_description': 'Centralized fault-tolerant hub', 'start_date': datetime.datetime(2012, 6, 24, 10, 28, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 17, 6, 13, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 12, 19, 50, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '58b9a055-d470-44c0-a67c-d1045aedcd74', 'end_date': datetime.datetime(2014, 5, 10, 7, 49, 4), 'start_time': datetime.datetime(2012, 8, 30, 12, 29, 55), 'rate': 4, 'updated_at': datetime.datetime(2010, 9, 15, 3, 14, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0c67416e-f891-493f-8870-b9b25bb17bd5', 'job_description': 'Vision-oriented context-sensitive capability', 'start_date': datetime.datetime(2013, 7, 16, 23, 44, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 19, 8, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 22, 2, 37, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e45f5bb6-b9ab-4803-bd69-44c46afd99dd', 'end_date': datetime.datetime(2011, 2, 24, 2, 55, 44), 'start_time': datetime.datetime(2011, 5, 10, 12, 50, 45), 'rate': 1, 'updated_at': datetime.datetime(2010, 8, 26, 0, 27, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '073ed126-1644-4968-958e-dfdede979413', 'job_description': 'Seamless 3rd generation circuit', 'start_date': datetime.datetime(2011, 9, 22, 3, 30, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 2, 21, 6, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 13, 0, 10, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f404372a-985a-48bf-8915-127ce72c02ee', 'end_date': datetime.datetime(2018, 11, 10, 18, 55, 8), 'start_time': datetime.datetime(2015, 6, 9, 14, 51, 53), 'rate': 2, 'updated_at': datetime.datetime(2015, 10, 11, 5, 49, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'beb87d2e-a173-4773-bcb7-b995a9a81675', 'job_description': 'Innovative explicit array', 'start_date': datetime.datetime(2014, 8, 23, 14, 2, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 13, 23, 0, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 12, 0, 20, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5c7eeac2-7c92-4429-9ece-02811c7b5865', 'end_date': datetime.datetime(2018, 10, 10, 16, 3, 25), 'start_time': datetime.datetime(2015, 7, 9, 1, 14, 41), 'rate': 3, 'updated_at': datetime.datetime(2014, 8, 3, 5, 2, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '534160d3-9c5e-4a66-98de-5dbe80787299', 'job_description': 'Secured zero tolerance installation', 'start_date': datetime.datetime(2013, 4, 17, 11, 26, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 12, 17, 18, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 29, 22, 11, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cd761852-5eb3-4f6e-9c51-6bf10601738c', 'end_date': datetime.datetime(2014, 8, 12, 12, 6, 13), 'start_time': datetime.datetime(2019, 5, 24, 0, 18, 17), 'rate': 3, 'updated_at': datetime.datetime(2015, 3, 3, 6, 43, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '14a8ae8c-f44d-4f31-bece-e87f94c0e77f', 'job_description': 'Synergized maximized attitude', 'start_date': datetime.datetime(2014, 4, 11, 4, 2, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 3, 22, 44, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 27, 18, 4, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '97cfe51d-e50b-4812-9cfd-1437658991dc', 'end_date': datetime.datetime(2016, 2, 11, 21, 55, 26), 'start_time': datetime.datetime(2013, 2, 15, 9, 59, 28), 'rate': 3, 'updated_at': datetime.datetime(2018, 6, 16, 3, 46, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Ukraine', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a5c69d74-bc59-4654-907c-eb1e5733f97f', 'job_description': 'Expanded intangible knowledge user', 'start_date': datetime.datetime(2011, 4, 6, 3, 47, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 17, 16, 30, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 18, 15, 58, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '75a04cdb-55df-40b0-a3dd-74cf7b3f0d9e', 'end_date': datetime.datetime(2014, 11, 5, 10, 16, 43), 'start_time': datetime.datetime(2013, 11, 26, 23, 59, 39), 'rate': 1, 'updated_at': datetime.datetime(2015, 10, 27, 4, 36, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f1405cd8-ca51-4b77-83b7-93d15f7ba59e', 'job_description': 'Adaptive grid-enabled moratorium', 'start_date': datetime.datetime(2011, 2, 7, 11, 4, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 5, 6, 37, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 24, 23, 38, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '544472d0-6985-4bd7-8d0c-5227b3999d56', 'end_date': datetime.datetime(2015, 10, 3, 14, 38, 4), 'start_time': datetime.datetime(2018, 11, 22, 15, 37, 6), 'rate': 2, 'updated_at': datetime.datetime(2012, 7, 18, 17, 10, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1036550e-db48-4aed-8276-05f1d695be23', 'job_description': 'Integrated mobile interface', 'start_date': datetime.datetime(2015, 2, 21, 8, 8, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 5, 5, 15, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 28, 12, 29, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '49b9de5d-8943-4c39-b9df-d383c831fd05', 'end_date': datetime.datetime(2011, 8, 6, 15, 51, 25), 'start_time': datetime.datetime(2012, 4, 27, 14, 42, 6), 'rate': 2, 'updated_at': datetime.datetime(2016, 6, 16, 15, 14, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '06354169-9724-4557-b02d-31a74c9469da', 'job_description': 'Enterprise-wide 5th generation circuit', 'start_date': datetime.datetime(2017, 11, 25, 16, 50, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 5, 5, 58, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 26, 14, 50, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2194db43-9c0a-4fb6-8366-17b6f2c2a233', 'end_date': datetime.datetime(2018, 4, 6, 22, 9, 9), 'start_time': datetime.datetime(2017, 11, 25, 17, 45, 56), 'rate': 1, 'updated_at': datetime.datetime(2010, 6, 30, 13, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bdf87339-6864-49ba-9087-ca557daa74fe', 'job_description': 'Implemented full-range help-desk', 'start_date': datetime.datetime(2013, 11, 13, 8, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 4, 9, 56, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 29, 22, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ccd55ca4-6759-46ca-9619-dc411d0d2901', 'end_date': datetime.datetime(2011, 3, 21, 15, 40, 25), 'start_time': datetime.datetime(2018, 4, 16, 14, 7, 59), 'rate': 3, 'updated_at': datetime.datetime(2012, 11, 13, 13, 35, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7a3a831c-c0b1-4dd2-8cdf-fda1c4944c7e', 'job_description': 'Fundamental demand-driven secured line', 'start_date': datetime.datetime(2011, 12, 19, 14, 9, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 13, 12, 3, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 25, 5, 31, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77494542-98dd-44e9-8352-c254615fb739', 'end_date': datetime.datetime(2012, 6, 21, 21, 14, 14), 'start_time': datetime.datetime(2014, 10, 23, 23, 36, 8), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 21, 6, 47, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c4506269-6a48-45f8-8ad0-920a329d69dc', 'job_description': 'Ameliorated solution-oriented budgetary management', 'start_date': datetime.datetime(2017, 3, 17, 19, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 11, 8, 29, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 1, 2, 38, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c8147554-884c-4a5d-b5d5-cae0a817c88c', 'end_date': datetime.datetime(2017, 6, 28, 20, 38, 17), 'start_time': datetime.datetime(2019, 3, 15, 10, 40, 14), 'rate': 5, 'updated_at': datetime.datetime(2011, 2, 23, 10, 51, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3a6ca962-49e3-4469-aac7-6bf1effb2608', 'job_description': 'Switchable analyzing flexibility', 'start_date': datetime.datetime(2014, 8, 29, 4, 20, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 28, 1, 8, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 26, 7, 0, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3f0e2654-46cb-4ffa-97cb-0f420e0b79cb', 'end_date': datetime.datetime(2014, 7, 26, 18, 39, 20), 'start_time': datetime.datetime(2017, 7, 30, 23, 37, 38), 'rate': 3, 'updated_at': datetime.datetime(2011, 9, 10, 5, 40, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Cook Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '67dd8221-7f7d-4f29-a4f0-04f30dc2afe9', 'job_description': 'Networked disintermediate intranet', 'start_date': datetime.datetime(2013, 11, 9, 11, 56, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 23, 10, 44, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 12, 18, 52, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '086b1e01-6258-439f-b2ef-c46f579397af', 'end_date': datetime.datetime(2016, 7, 6, 12, 49, 29), 'start_time': datetime.datetime(2013, 4, 7, 6, 24, 26), 'rate': 5, 'updated_at': datetime.datetime(2012, 6, 13, 16, 11, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ca1b54e2-2566-416e-91e6-47da2c481d99', 'job_description': 'Multi-lateral bi-directional installation', 'start_date': datetime.datetime(2019, 4, 18, 6, 19, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 30, 15, 25, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 25, 5, 53, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f21fe065-d858-4ae2-91ec-e57b3fc60460', 'end_date': datetime.datetime(2015, 12, 28, 17, 47, 22), 'start_time': datetime.datetime(2016, 6, 2, 10, 30, 35), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 19, 22, 51, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8e6b9b05-b5f5-4b8b-8756-93282294f347', 'job_description': 'Front-line clear-thinking website', 'start_date': datetime.datetime(2016, 12, 3, 11, 16, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 14, 16, 43, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 15, 15, 47, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'db793344-1748-4fcf-a94d-92edd5d4cd1c', 'end_date': datetime.datetime(2018, 8, 30, 15, 37, 39), 'start_time': datetime.datetime(2016, 7, 3, 20, 17, 48), 'rate': 3, 'updated_at': datetime.datetime(2018, 3, 4, 17, 11, 8), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81cfb7a6-d402-4256-abda-aba429aba8f5', 'job_description': 'Profit-focused interactive productivity', 'start_date': datetime.datetime(2016, 7, 15, 21, 1, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 28, 16, 8, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 29, 17, 42, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a60aaccd-aee3-4c38-a9f9-7c5d10347fe7', 'end_date': datetime.datetime(2013, 9, 21, 13, 30, 19), 'start_time': datetime.datetime(2019, 3, 10, 22, 28, 48), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 24, 0, 2, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '055f018d-3aa9-41d6-8d73-931ccb4a10f4', 'job_description': 'Pre-emptive systemic frame', 'start_date': datetime.datetime(2016, 7, 3, 2, 23, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 10, 8, 12, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 15, 15, 28, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f04e5b49-3cce-40fe-8ce3-a9c01402c113', 'end_date': datetime.datetime(2012, 6, 13, 23, 12, 44), 'start_time': datetime.datetime(2017, 2, 15, 1, 21, 31), 'rate': 3, 'updated_at': datetime.datetime(2018, 11, 3, 2, 50, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f10e2247-1ee2-4af1-9d09-edbf2869cbf2', 'job_description': 'Down-sized high-level moratorium', 'start_date': datetime.datetime(2018, 6, 14, 16, 20, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 20, 22, 14, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 17, 11, 47, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aaedadaf-bf69-4332-9876-ec48c7b52db4', 'end_date': datetime.datetime(2018, 7, 16, 2, 17, 5), 'start_time': datetime.datetime(2011, 3, 14, 2, 22, 43), 'rate': 2, 'updated_at': datetime.datetime(2014, 1, 7, 6, 29, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c78f053e-c96b-4d2c-9fff-4dd1e7bb0194', 'job_description': 'Reverse-engineered leading edge algorithm', 'start_date': datetime.datetime(2012, 9, 21, 18, 54, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 11, 4, 5, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 24, 2, 51, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a84818f-1c69-442f-a4e4-ce1a9f80062e', 'end_date': datetime.datetime(2015, 2, 5, 10, 52, 26), 'start_time': datetime.datetime(2018, 4, 12, 1, 30, 52), 'rate': 3, 'updated_at': datetime.datetime(2015, 7, 17, 7, 13, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dee83371-09cd-4859-8db4-304f76e40669', 'job_description': 'Progressive multimedia challenge', 'start_date': datetime.datetime(2011, 7, 29, 15, 16, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 31, 6, 16, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 22, 17, 45, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7f03f93e-90a9-47fa-a663-d78306469afd', 'end_date': datetime.datetime(2013, 3, 11, 5, 35, 18), 'start_time': datetime.datetime(2012, 5, 10, 11, 4, 33), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 20, 9, 53, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '70954b1d-1896-481a-a001-dc02780acea4', 'job_description': 'Innovative contextually-based model', 'start_date': datetime.datetime(2014, 5, 25, 9, 57, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 6, 18, 20, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 9, 9, 54, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ca411c87-1c7e-4fab-8e28-3d291dd73af0', 'end_date': datetime.datetime(2015, 11, 18, 14, 31, 47), 'start_time': datetime.datetime(2013, 10, 18, 16, 25, 26), 'rate': 4, 'updated_at': datetime.datetime(2016, 12, 24, 8, 56, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '390aa4dd-30de-4c22-ba62-779caf283cf7', 'job_description': 'Self-enabling exuding Graphical User Interface', 'start_date': datetime.datetime(2012, 10, 20, 4, 32, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 10, 13, 57, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 16, 18, 7, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e8b56c86-be63-4eac-aaef-c585e953fb20', 'end_date': datetime.datetime(2013, 2, 26, 7, 36, 30), 'start_time': datetime.datetime(2015, 6, 30, 23, 21, 48), 'rate': 5, 'updated_at': datetime.datetime(2015, 9, 4, 19, 23, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Bahamas', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '48906880-d6bf-4b32-8783-39e731bb97b6', 'job_description': 'Configurable optimizing process improvement', 'start_date': datetime.datetime(2015, 3, 28, 19, 50, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 15, 5, 36, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 2, 22, 34, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'de8e7fa4-a54d-4cf5-8693-eaad4fde7d16', 'end_date': datetime.datetime(2018, 10, 6, 0, 2, 3), 'start_time': datetime.datetime(2016, 11, 23, 11, 15, 59), 'rate': 3, 'updated_at': datetime.datetime(2019, 5, 4, 23, 59, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Palestinian Territory', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c0958818-5c38-4c7b-a3bd-9e80a8a1b43e', 'job_description': 'Organic web-enabled function', 'start_date': datetime.datetime(2017, 2, 7, 23, 49, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 23, 6, 57, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 5, 2, 23, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'df7387bf-a984-49e9-ab05-26e18b28c937', 'end_date': datetime.datetime(2019, 8, 31, 10, 45, 3), 'start_time': datetime.datetime(2018, 4, 6, 3, 37, 16), 'rate': 1, 'updated_at': datetime.datetime(2014, 1, 25, 10, 16, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Cambodia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9b21fec1-95e5-41da-80aa-464fa55f6471', 'job_description': 'Proactive leading edge workforce', 'start_date': datetime.datetime(2012, 7, 28, 11, 40, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 31, 9, 12, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 4, 17, 39, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '595814c4-6309-4dce-b726-85bb0202ff18', 'end_date': datetime.datetime(2012, 8, 23, 14, 4, 22), 'start_time': datetime.datetime(2019, 8, 5, 7, 42, 19), 'rate': 3, 'updated_at': datetime.datetime(2011, 11, 1, 6, 21, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Eritrea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35bc2f58-ecf2-4d02-98e4-b4350e7cfe0d', 'job_description': 'Automated maximized paradigm', 'start_date': datetime.datetime(2019, 9, 29, 2, 22, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 5, 17, 19, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 20, 16, 45, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a0eb0875-ba0c-419f-8034-d231b8fb71f3', 'end_date': datetime.datetime(2011, 5, 9, 10, 9, 39), 'start_time': datetime.datetime(2016, 3, 20, 5, 49, 52), 'rate': 3, 'updated_at': datetime.datetime(2014, 11, 24, 16, 56, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Bosnia and Herzegovina', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '45b2af78-bea2-467e-a5c0-3cb24ced5998', 'job_description': 'Enhanced assymetric structure', 'start_date': datetime.datetime(2013, 12, 28, 19, 7, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 12, 10, 6, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 9, 18, 48, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1a69679e-2921-43b4-86c3-f8f31d47151f', 'end_date': datetime.datetime(2018, 6, 30, 9, 9, 28), 'start_time': datetime.datetime(2010, 5, 13, 7, 12, 9), 'rate': 4, 'updated_at': datetime.datetime(2014, 7, 31, 10, 32, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fef810ec-ebbc-4e4a-b11c-0a61cee76dc5', 'job_description': 'Upgradable analyzing concept', 'start_date': datetime.datetime(2014, 10, 22, 21, 28, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 13, 17, 56, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 19, 11, 57, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fc2126ee-95bb-4b71-8600-280fc1bf626d', 'end_date': datetime.datetime(2017, 5, 24, 18, 46, 32), 'start_time': datetime.datetime(2014, 12, 25, 4, 3, 25), 'rate': 1, 'updated_at': datetime.datetime(2019, 9, 17, 4, 16, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b5de55a8-0696-46f6-a37b-770f77ba0f92', 'job_description': 'Profound maximized focus group', 'start_date': datetime.datetime(2017, 6, 5, 10, 25, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 27, 9, 19, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 4, 5, 19, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '575a8545-f846-4d53-853b-156d349322d5', 'end_date': datetime.datetime(2015, 7, 28, 11, 3, 23), 'start_time': datetime.datetime(2018, 5, 28, 23, 14, 34), 'rate': 3, 'updated_at': datetime.datetime(2016, 1, 13, 16, 43, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a022c841-0a05-49f2-9336-c626a969f5ce', 'job_description': 'Organized fault-tolerant orchestration', 'start_date': datetime.datetime(2017, 5, 9, 12, 36, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 27, 20, 4, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 4, 21, 7, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f29392e0-af24-45b5-ac07-c273f0e64c11', 'end_date': datetime.datetime(2014, 9, 1, 2, 32, 27), 'start_time': datetime.datetime(2019, 2, 25, 10, 50, 19), 'rate': 3, 'updated_at': datetime.datetime(2013, 7, 19, 4, 52, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cef8e584-c657-4cec-b77e-ec4582040ae8', 'job_description': 'Phased regional migration', 'start_date': datetime.datetime(2017, 4, 23, 14, 17, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 31, 11, 41, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 17, 6, 13, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7f27e762-6a9f-43c6-b4f5-b88417c9d100', 'end_date': datetime.datetime(2011, 7, 18, 21, 4, 34), 'start_time': datetime.datetime(2016, 7, 23, 1, 3, 21), 'rate': 4, 'updated_at': datetime.datetime(2015, 3, 5, 0, 30, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a2bb207f-906b-4811-9fcf-d2a98054879a', 'job_description': 'Configurable secondary emulation', 'start_date': datetime.datetime(2014, 8, 1, 4, 27, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 23, 3, 38, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 15, 22, 46, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '727f630d-49e1-4223-82bc-e7cfe54b3a6e', 'end_date': datetime.datetime(2010, 11, 20, 8, 33, 33), 'start_time': datetime.datetime(2014, 12, 26, 20, 4, 28), 'rate': 3, 'updated_at': datetime.datetime(2016, 11, 1, 18, 52, 54), 'job_title': 'CoffeeMaker', 'service_id': 'British Indian Ocean Territory (Chagos Archipelago)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b3e958f9-0f5a-4ae1-979f-1a3e20de7a45', 'job_description': 'Total impactful installation', 'start_date': datetime.datetime(2011, 3, 10, 3, 1, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 30, 0, 22, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 31, 13, 32, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c8e586a4-590b-480d-9004-0b9918b7651a', 'end_date': datetime.datetime(2015, 12, 14, 7, 24, 49), 'start_time': datetime.datetime(2019, 11, 19, 0, 38, 33), 'rate': 5, 'updated_at': datetime.datetime(2011, 8, 4, 2, 26, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Tokelau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f4256b5f-ac1f-4ff4-866a-b7900caf4792', 'job_description': 'Profit-focused local productivity', 'start_date': datetime.datetime(2016, 3, 26, 2, 42, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 10, 6, 38, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 23, 12, 23, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2d305f8f-d4a5-4b6e-8722-cfeae51082a4', 'end_date': datetime.datetime(2016, 11, 12, 4, 10), 'start_time': datetime.datetime(2010, 3, 11, 13, 17, 12), 'rate': 3, 'updated_at': datetime.datetime(2011, 4, 11, 13, 30, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fe695dec-156d-4e03-b7c3-9d0d1d83eb13', 'job_description': 'Synergized upward-trending data-warehouse', 'start_date': datetime.datetime(2019, 6, 3, 18, 53, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 14, 7, 44, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 29, 4, 0, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '548eab6a-fd4e-4714-bd36-131df16cc329', 'end_date': datetime.datetime(2019, 1, 5, 21, 32, 48), 'start_time': datetime.datetime(2011, 10, 4, 9, 26, 3), 'rate': 2, 'updated_at': datetime.datetime(2013, 7, 3, 18, 5, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '95b915d6-8011-40f8-b479-1a987c61fce2', 'job_description': 'Seamless 5th generation circuit', 'start_date': datetime.datetime(2019, 6, 25, 0, 42, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 12, 22, 29, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 18, 23, 58, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e3725d2a-9050-4b2f-ac08-93581343b962', 'end_date': datetime.datetime(2016, 8, 29, 4, 21, 28), 'start_time': datetime.datetime(2012, 8, 27, 2, 13, 14), 'rate': 2, 'updated_at': datetime.datetime(2010, 12, 14, 19, 52, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ff422ecd-3ac3-40fe-aa95-2671f366b65c', 'job_description': 'Face to face 5th generation knowledge user', 'start_date': datetime.datetime(2017, 4, 11, 1, 19, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 16, 18, 34, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 5, 20, 1, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '65c9e70e-4556-40f3-b37e-3bc5a16754a1', 'end_date': datetime.datetime(2013, 7, 9, 21, 32, 46), 'start_time': datetime.datetime(2018, 2, 11, 7, 15, 34), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 18, 20, 10, 18), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2f281dde-d1f1-4fe6-803c-712824d99422', 'job_description': 'Progressive contextually-based hub', 'start_date': datetime.datetime(2019, 5, 27, 1, 17, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 13, 7, 58, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 15, 18, 15, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '94e116e2-891d-425d-9b40-8c648a5083b4', 'end_date': datetime.datetime(2015, 2, 19, 5, 5, 52), 'start_time': datetime.datetime(2010, 2, 19, 10, 29, 16), 'rate': 3, 'updated_at': datetime.datetime(2012, 1, 6, 17, 49, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e87b1f5c-7131-4ceb-a2f2-74152af824de', 'job_description': 'Visionary 6th generation intranet', 'start_date': datetime.datetime(2017, 6, 27, 13, 13, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 25, 1, 47, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 26, 8, 13, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9240fe72-b2bc-47e4-b163-1e632c37caf1', 'end_date': datetime.datetime(2010, 12, 24, 0, 44, 21), 'start_time': datetime.datetime(2016, 1, 21, 3, 43, 12), 'rate': 5, 'updated_at': datetime.datetime(2017, 9, 4, 21, 9, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f175cb84-2749-4bd5-b8a1-327751af5ec0', 'job_description': 'Extended bifurcated service-desk', 'start_date': datetime.datetime(2010, 3, 3, 9, 15, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 13, 5, 56, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 26, 13, 8, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ddbfd97f-3749-4a62-999e-c46f2ec3cd0b', 'end_date': datetime.datetime(2018, 7, 7, 2, 0, 43), 'start_time': datetime.datetime(2018, 3, 23, 16, 13, 23), 'rate': 2, 'updated_at': datetime.datetime(2017, 10, 24, 23, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9d33e172-8773-4c7f-8cc0-da98fda3ddbf', 'job_description': 'Multi-lateral systematic benchmark', 'start_date': datetime.datetime(2012, 11, 14, 11, 58, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 3, 2, 20, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 13, 15, 38, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'df290ffe-3cb1-4dbf-baca-e87800f3ffb5', 'end_date': datetime.datetime(2012, 2, 12, 17, 32, 1), 'start_time': datetime.datetime(2013, 11, 23, 12, 30, 3), 'rate': 3, 'updated_at': datetime.datetime(2015, 5, 8, 22, 9, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2522c410-132b-47ed-8cd7-745e91c4b287', 'job_description': 'Innovative contextually-based solution', 'start_date': datetime.datetime(2012, 8, 28, 0, 4, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 11, 14, 35, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 16, 14, 18, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '532f028e-e82d-4c25-b6b0-ea563c5315e2', 'end_date': datetime.datetime(2017, 7, 21, 14, 18, 21), 'start_time': datetime.datetime(2014, 7, 4, 5, 32, 46), 'rate': 3, 'updated_at': datetime.datetime(2015, 2, 2, 12, 10, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1203e32f-a176-4125-9d60-154105573229', 'job_description': 'Configurable 3rd generation architecture', 'start_date': datetime.datetime(2017, 2, 2, 7, 45, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 31, 21, 11, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 7, 13, 52, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c6184300-ab2f-43f0-beaa-0a0cfd41015e', 'end_date': datetime.datetime(2017, 10, 20, 10, 16, 5), 'start_time': datetime.datetime(2011, 8, 23, 15, 54, 31), 'rate': 1, 'updated_at': datetime.datetime(2014, 7, 21, 8, 11, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3c2ecea3-906c-426c-ba77-5187a10a5490', 'job_description': 'Persevering eco-centric knowledge user', 'start_date': datetime.datetime(2015, 3, 3, 17, 0, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 6, 15, 53, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 14, 5, 1, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bcd6434d-b0be-4553-914d-725076b7ae25', 'end_date': datetime.datetime(2018, 1, 24, 7, 12, 20), 'start_time': datetime.datetime(2014, 2, 19, 0, 30, 1), 'rate': 2, 'updated_at': datetime.datetime(2011, 9, 22, 18, 10, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cdb2c962-0b86-4b45-bc16-71c41ad34459', 'job_description': 'Synergized 24 hour archive', 'start_date': datetime.datetime(2017, 6, 4, 11, 2, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 25, 6, 21, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 21, 15, 50, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f226c189-ec3f-4cea-b52e-ebff02566dbd', 'end_date': datetime.datetime(2011, 11, 24, 15, 35, 35), 'start_time': datetime.datetime(2015, 11, 24, 7, 28, 10), 'rate': 5, 'updated_at': datetime.datetime(2013, 1, 25, 6, 35, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Benin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5f8bef2f-0b7d-4c9b-a5ca-6dfbed80953b', 'job_description': 'Fundamental non-volatile Graphical User Interface', 'start_date': datetime.datetime(2014, 3, 6, 9, 35, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 10, 14, 59, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 27, 8, 47, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd5ac4b1b-e2d2-4099-879b-8d3b896a239f', 'end_date': datetime.datetime(2018, 2, 11, 6, 59, 8), 'start_time': datetime.datetime(2017, 11, 29, 15, 41, 5), 'rate': 4, 'updated_at': datetime.datetime(2012, 1, 8, 5, 1, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd9173dda-9c61-415d-a8cb-6be6008a1a69', 'job_description': 'Sharable zero tolerance encryption', 'start_date': datetime.datetime(2018, 1, 13, 7, 20, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 18, 11, 9, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 6, 18, 55, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3f42639c-783b-471a-9799-9c5eb2e505e6', 'end_date': datetime.datetime(2010, 12, 19, 6, 51, 7), 'start_time': datetime.datetime(2015, 2, 8, 23, 58, 37), 'rate': 4, 'updated_at': datetime.datetime(2014, 1, 7, 9, 37, 52), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cb5476e1-b072-4889-814d-0b0eb144bfdc', 'job_description': 'Stand-alone tangible flexibility', 'start_date': datetime.datetime(2011, 8, 18, 19, 59, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 27, 14, 20, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 24, 14, 4, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e067f358-7be4-4525-80f4-a0945d87520f', 'end_date': datetime.datetime(2010, 5, 9, 23, 1, 38), 'start_time': datetime.datetime(2012, 11, 4, 22, 41, 53), 'rate': 4, 'updated_at': datetime.datetime(2012, 1, 28, 23, 47, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5242d529-33b4-4a27-912e-47a4575a08c2', 'job_description': 'De-engineered client-server implementation', 'start_date': datetime.datetime(2017, 5, 20, 0, 11, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 28, 19, 38, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 1, 21, 3, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '679e55a2-398d-439d-b9e8-c6268d4b9668', 'end_date': datetime.datetime(2010, 3, 4, 13, 22, 19), 'start_time': datetime.datetime(2012, 2, 23, 7, 11, 59), 'rate': 4, 'updated_at': datetime.datetime(2010, 7, 28, 16, 53, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0d9d4d8d-d96b-438a-b5ba-c67686744c04', 'job_description': 'Reactive web-enabled portal', 'start_date': datetime.datetime(2018, 6, 14, 22, 50, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 17, 17, 26, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 21, 2, 22, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b97118ed-b5bb-468b-98ce-102394c231ce', 'end_date': datetime.datetime(2017, 12, 12, 8, 9, 13), 'start_time': datetime.datetime(2018, 1, 3, 19, 27, 32), 'rate': 4, 'updated_at': datetime.datetime(2012, 8, 7, 3, 32, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f99b8e34-a3e9-46a5-b2de-d476df4fba1d', 'job_description': 'Team-oriented radical firmware', 'start_date': datetime.datetime(2011, 5, 8, 14, 44, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 31, 17, 32, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 24, 11, 9, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd648ffe6-02c2-4a0a-863b-3021e5035832', 'end_date': datetime.datetime(2014, 10, 17, 18, 51), 'start_time': datetime.datetime(2011, 2, 17, 6, 32, 9), 'rate': 4, 'updated_at': datetime.datetime(2012, 6, 27, 2, 23, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Pakistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cdb2adee-04bd-44fc-a117-7d35cc702b54', 'job_description': 'Configurable maximized algorithm', 'start_date': datetime.datetime(2013, 5, 29, 8, 24, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 8, 2, 36, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 13, 3, 57, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f40455ba-3f21-478b-a3da-f6d86b03172f', 'end_date': datetime.datetime(2010, 10, 3, 16, 26, 58), 'start_time': datetime.datetime(2014, 11, 19, 3, 44), 'rate': 1, 'updated_at': datetime.datetime(2015, 7, 15, 16, 59, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c1c2ec88-1a3c-45f5-89fb-72c8c6fbf034', 'job_description': 'Multi-channelled user-facing data-warehouse', 'start_date': datetime.datetime(2011, 7, 9, 23, 43, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 28, 22, 34, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 9, 11, 28, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6d273e3a-0536-45a3-a2c3-2b2f679f29b0', 'end_date': datetime.datetime(2016, 7, 6, 21, 0, 2), 'start_time': datetime.datetime(2019, 5, 25, 11, 19, 11), 'rate': 4, 'updated_at': datetime.datetime(2014, 11, 20, 13, 50, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '346509aa-979a-46ae-b371-5a3eec89362d', 'job_description': 'Function-based bottom-line hub', 'start_date': datetime.datetime(2010, 5, 27, 18, 35, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 11, 5, 9, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 16, 1, 33, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2cc028b0-15bc-41d5-927d-64c3bb357ce0', 'end_date': datetime.datetime(2014, 2, 4, 6, 25, 39), 'start_time': datetime.datetime(2019, 4, 30, 1, 33, 11), 'rate': 5, 'updated_at': datetime.datetime(2019, 10, 8, 22, 31, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '41ac9416-936e-41e7-8175-236939e375b5', 'job_description': 'Decentralized user-facing function', 'start_date': datetime.datetime(2014, 12, 8, 18, 44, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 12, 14, 41, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 9, 11, 3, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4aae0da0-0cf4-4987-9f65-8d4cab191587', 'end_date': datetime.datetime(2017, 8, 2, 5, 16, 55), 'start_time': datetime.datetime(2015, 1, 28, 6, 10, 8), 'rate': 4, 'updated_at': datetime.datetime(2017, 3, 22, 14, 36, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0192f368-453c-4add-b6c6-815fe3015616', 'job_description': 'Re-engineered dedicated array', 'start_date': datetime.datetime(2014, 2, 1, 14, 42, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 29, 2, 41, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 7, 20, 11, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0fcceaf9-ed3d-43eb-b9a1-6f4bdd17dd91', 'end_date': datetime.datetime(2015, 3, 15, 20, 38, 42), 'start_time': datetime.datetime(2018, 1, 31, 0, 2, 38), 'rate': 4, 'updated_at': datetime.datetime(2012, 7, 26, 15, 54, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1426e2a0-0e2c-4d75-a52c-ab91baad3205', 'job_description': 'Operative incremental approach', 'start_date': datetime.datetime(2015, 11, 21, 20, 36, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 10, 13, 0, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 5, 1, 41, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dcc41c45-437b-4a8b-a904-7f8e1d10d668', 'end_date': datetime.datetime(2019, 9, 13, 3, 23, 9), 'start_time': datetime.datetime(2018, 3, 3, 15, 21, 6), 'rate': 2, 'updated_at': datetime.datetime(2019, 9, 21, 8, 31, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3744feb7-de39-4867-83b1-ad017a9dbeab', 'job_description': 'Switchable bottom-line leverage', 'start_date': datetime.datetime(2013, 9, 10, 0, 24, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 5, 7, 56, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 8, 0, 12, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a05d22c3-3c5f-4459-b8b2-dc848afa010c', 'end_date': datetime.datetime(2019, 7, 14, 20, 57, 32), 'start_time': datetime.datetime(2014, 6, 4, 12, 56, 25), 'rate': 2, 'updated_at': datetime.datetime(2018, 7, 22, 16, 57, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Bulgaria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0b6fe762-4a5e-479d-b7b3-2a4c647c3389', 'job_description': 'Total systemic leverage', 'start_date': datetime.datetime(2012, 11, 23, 14, 29, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 20, 9, 18, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 21, 9, 59, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '362cec83-ade9-447d-bb65-20ee7564f1cb', 'end_date': datetime.datetime(2015, 9, 14, 1, 24, 17), 'start_time': datetime.datetime(2011, 11, 2, 16, 53, 16), 'rate': 1, 'updated_at': datetime.datetime(2010, 12, 16, 17, 26, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '626d20f9-2868-4182-865c-bcecf03cb90a', 'job_description': 'Total actuating service-desk', 'start_date': datetime.datetime(2015, 3, 22, 1, 37, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 10, 0, 14, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 16, 23, 1, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bd61aae2-ecba-49a2-bc96-c6b119cae249', 'end_date': datetime.datetime(2010, 4, 20, 13, 26, 51), 'start_time': datetime.datetime(2011, 11, 12, 13, 54, 55), 'rate': 2, 'updated_at': datetime.datetime(2018, 2, 16, 5, 43, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3cf870b8-ad2c-47f5-ac15-040b86b3c882', 'job_description': 'Customer-focused scalable concept', 'start_date': datetime.datetime(2019, 6, 10, 12, 46, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 22, 19, 34, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 13, 9, 14, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '383c6eb7-3c7a-41c8-a44f-7c59c1a814c8', 'end_date': datetime.datetime(2017, 11, 6, 14, 52, 17), 'start_time': datetime.datetime(2016, 5, 5, 21, 26, 21), 'rate': 5, 'updated_at': datetime.datetime(2018, 3, 8, 1, 16, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '790b69a9-a7e5-4afd-b24d-053ea30a7061', 'job_description': 'Pre-emptive next generation time-frame', 'start_date': datetime.datetime(2012, 4, 4, 1, 8, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 16, 22, 8, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 25, 21, 57, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9d5baaba-04d2-4d99-989d-87dbe951013b', 'end_date': datetime.datetime(2016, 3, 25, 17, 49, 18), 'start_time': datetime.datetime(2011, 10, 25, 1, 51, 41), 'rate': 3, 'updated_at': datetime.datetime(2014, 12, 17, 19, 8, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '511f7ff6-05b9-43a2-a496-79f259f01b4f', 'job_description': 'Virtual methodical service-desk', 'start_date': datetime.datetime(2018, 10, 9, 18, 44, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 19, 6, 30, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 20, 4, 38, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ffb79b5f-cfe5-4821-a994-bf61f3f2a250', 'end_date': datetime.datetime(2011, 3, 19, 2, 32, 17), 'start_time': datetime.datetime(2016, 5, 30, 7, 44, 20), 'rate': 2, 'updated_at': datetime.datetime(2010, 2, 23, 7, 54, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fe2650b6-7055-47d1-b679-e36d728c1d74', 'job_description': 'Open-source scalable hierarchy', 'start_date': datetime.datetime(2015, 2, 22, 20, 43, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 14, 4, 47, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 12, 4, 46, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cc3def6a-a497-4020-9e42-3de8daab072e', 'end_date': datetime.datetime(2010, 11, 28, 17, 19, 23), 'start_time': datetime.datetime(2019, 1, 18, 18, 8, 32), 'rate': 3, 'updated_at': datetime.datetime(2011, 3, 22, 21, 38, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cb9f69e8-99f6-42f2-ad89-9e2e1865c42e', 'job_description': 'Right-sized web-enabled process improvement', 'start_date': datetime.datetime(2019, 11, 29, 14, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 4, 23, 37, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 29, 22, 7, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '02b24d57-2066-40db-9acc-145c7f5501f3', 'end_date': datetime.datetime(2016, 2, 2, 10, 58, 7), 'start_time': datetime.datetime(2013, 2, 2, 6, 18, 40), 'rate': 5, 'updated_at': datetime.datetime(2010, 5, 9, 4, 50, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Egypt', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f626e39a-1221-489e-9747-78eb3b5f9b19', 'job_description': 'Visionary bottom-line knowledge base', 'start_date': datetime.datetime(2012, 1, 29, 21, 1, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 28, 21, 16, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 29, 16, 27, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8acda4d7-5464-4d95-98f0-76bf4a65175c', 'end_date': datetime.datetime(2016, 5, 7, 6, 55, 5), 'start_time': datetime.datetime(2016, 3, 25, 16, 41, 44), 'rate': 2, 'updated_at': datetime.datetime(2013, 3, 29, 18, 59, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ea569d27-5358-4f2c-bd57-68beef502bf7', 'job_description': 'User-centric fresh-thinking concept', 'start_date': datetime.datetime(2018, 1, 12, 5, 54, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 13, 15, 41, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 30, 23, 17, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ff9e5a84-bdcb-4d99-a1fb-516865789905', 'end_date': datetime.datetime(2017, 8, 22, 14, 55, 26), 'start_time': datetime.datetime(2019, 8, 23, 12, 23, 50), 'rate': 5, 'updated_at': datetime.datetime(2017, 9, 27, 16, 24, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1c2abdf6-4d67-451b-a513-a5c54de90205', 'job_description': 'Reactive composite hardware', 'start_date': datetime.datetime(2010, 10, 29, 3, 56, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 11, 5, 12, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 2, 5, 19, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '04a0af8b-7f79-4dcc-be97-d8f4327de59f', 'end_date': datetime.datetime(2017, 12, 5, 19, 31, 8), 'start_time': datetime.datetime(2015, 4, 19, 6, 37, 21), 'rate': 3, 'updated_at': datetime.datetime(2013, 4, 18, 10, 28, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '026c469c-eaa0-4209-814d-f7c9cab88716', 'job_description': 'Optional empowering support', 'start_date': datetime.datetime(2011, 6, 2, 8, 38, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 8, 12, 17, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 27, 3, 38, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c1e60ace-07f3-4e1b-bb42-62a8efaacf59', 'end_date': datetime.datetime(2015, 2, 20, 2, 16, 34), 'start_time': datetime.datetime(2012, 8, 27, 5, 35, 46), 'rate': 3, 'updated_at': datetime.datetime(2016, 1, 10, 8, 2, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ceacaeb2-b7a0-4aa5-98d4-1886550e4033', 'job_description': 'Front-line methodical conglomeration', 'start_date': datetime.datetime(2013, 6, 3, 22, 31, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 4, 3, 11, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 8, 2, 53, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5b56750d-4935-4dcf-aaf6-86feab7cd3e2', 'end_date': datetime.datetime(2016, 6, 12, 4, 35, 37), 'start_time': datetime.datetime(2018, 1, 4, 21, 1, 50), 'rate': 2, 'updated_at': datetime.datetime(2017, 9, 2, 4, 17, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4d61a716-3a1e-4ff5-8b61-6d45c33136df', 'job_description': 'Synergized optimizing encryption', 'start_date': datetime.datetime(2012, 9, 5, 7, 39, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 18, 0, 28, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 22, 10, 59, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '207b3bff-fdbf-4451-921a-3b12aac4edf8', 'end_date': datetime.datetime(2010, 12, 3, 3, 56, 10), 'start_time': datetime.datetime(2015, 3, 22, 18, 27, 57), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 17, 9, 17, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '577a2969-fb8a-40f4-aab4-5efc780016dc', 'job_description': 'Extended maximized focus group', 'start_date': datetime.datetime(2017, 5, 5, 13, 13, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 13, 15, 29, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 25, 18, 20, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '55d3fb34-4d06-4eef-b120-62d7408c4a47', 'end_date': datetime.datetime(2014, 1, 4, 21, 45, 44), 'start_time': datetime.datetime(2018, 1, 30, 14, 58, 12), 'rate': 3, 'updated_at': datetime.datetime(2015, 10, 18, 10, 45, 52), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35624e3b-5009-4d3d-a42b-7027e3377bf4', 'job_description': 'Synergized local local area network', 'start_date': datetime.datetime(2017, 12, 19, 18, 56, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 28, 9, 38, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 6, 11, 25, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '79bf5b3e-da68-42f9-8e35-f370d042a8fa', 'end_date': datetime.datetime(2019, 7, 7, 3, 11, 11), 'start_time': datetime.datetime(2016, 11, 8, 9, 26, 20), 'rate': 2, 'updated_at': datetime.datetime(2017, 5, 26, 23, 44, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '79d2f7be-dc4d-4c9f-96e3-3f4e61b6e68d', 'job_description': 'Function-based needs-based capacity', 'start_date': datetime.datetime(2013, 9, 1, 2, 1, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 10, 13, 48, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 8, 23, 9, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1178e9c6-97aa-4c16-8cf4-f7c1da6eafda', 'end_date': datetime.datetime(2013, 1, 7, 17, 18, 36), 'start_time': datetime.datetime(2017, 6, 2, 20, 30, 8), 'rate': 3, 'updated_at': datetime.datetime(2012, 1, 6, 17, 6, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'afda612c-6a7e-451c-a9d9-eaaeccd45b17', 'job_description': 'Fully-configurable background concept', 'start_date': datetime.datetime(2018, 10, 31, 11, 38, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 15, 8, 1, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 4, 12, 46, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8842306c-f8f0-4e20-a173-dce0e2070d52', 'end_date': datetime.datetime(2016, 1, 29, 14, 27, 29), 'start_time': datetime.datetime(2011, 11, 17, 8, 24, 14), 'rate': 2, 'updated_at': datetime.datetime(2010, 6, 30, 3, 23, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '936ed8e0-3f1d-4766-8ab3-790094fb9ac0', 'job_description': 'Configurable solution-oriented moratorium', 'start_date': datetime.datetime(2011, 11, 13, 9, 0, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 24, 5, 13, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 21, 1, 50, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ec864fc4-3bad-4f2c-a3da-9aabc3ad00b6', 'end_date': datetime.datetime(2014, 11, 20, 18, 13, 13), 'start_time': datetime.datetime(2012, 11, 21, 7, 24, 2), 'rate': 5, 'updated_at': datetime.datetime(2016, 7, 20, 2, 21, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'be64c7c6-85e9-4167-99c1-6614d5eb3875', 'job_description': 'Managed 24/7 intranet', 'start_date': datetime.datetime(2012, 5, 4, 3, 28, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 17, 2, 52, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 17, 10, 11, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7578e89d-78b0-47b2-a7fc-2b02207d0526', 'end_date': datetime.datetime(2019, 4, 28, 9, 46, 17), 'start_time': datetime.datetime(2019, 11, 29, 19, 19, 13), 'rate': 1, 'updated_at': datetime.datetime(2010, 11, 19, 16, 3, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '024deae4-3659-4717-8555-d38dfb9228dc', 'job_description': 'Realigned intangible hierarchy', 'start_date': datetime.datetime(2018, 6, 29, 4, 27, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 22, 19, 59, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 25, 18, 30, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '430e0ca0-61e5-4431-8955-dc4d54d67f61', 'end_date': datetime.datetime(2018, 8, 2, 5, 13, 43), 'start_time': datetime.datetime(2013, 6, 16, 14, 0, 35), 'rate': 5, 'updated_at': datetime.datetime(2013, 3, 15, 14, 54, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '20de8288-968c-4073-b572-43bd79b9d66a', 'job_description': 'Business-focused actuating local area network', 'start_date': datetime.datetime(2015, 10, 24, 19, 50, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 11, 5, 0, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 20, 2, 43, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5ce8e431-c8b9-457d-a214-fcd039ddd5e7', 'end_date': datetime.datetime(2011, 6, 24, 21, 20, 41), 'start_time': datetime.datetime(2012, 4, 22, 19, 55, 4), 'rate': 5, 'updated_at': datetime.datetime(2012, 2, 29, 18, 50, 35), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '672fe6ad-7e0f-4960-8018-1312ffb35c3c', 'job_description': 'Business-focused methodical hierarchy', 'start_date': datetime.datetime(2019, 2, 11, 20, 53, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 5, 21, 8, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 8, 5, 16, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2bf45c59-a407-41a8-a17c-4d8a8e354403', 'end_date': datetime.datetime(2018, 2, 12, 16, 38, 28), 'start_time': datetime.datetime(2015, 4, 25, 18, 41, 24), 'rate': 5, 'updated_at': datetime.datetime(2011, 4, 11, 8, 45, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '208c14bd-4bf6-4933-beec-35288285d2bd', 'job_description': 'Up-sized solution-oriented methodology', 'start_date': datetime.datetime(2013, 11, 14, 15, 29, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 26, 18, 43, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 28, 17, 24, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd4e618a6-61bc-4a67-9ba5-c77dcc1d8ad7', 'end_date': datetime.datetime(2014, 1, 6, 1, 21, 25), 'start_time': datetime.datetime(2011, 7, 25, 6, 49, 47), 'rate': 3, 'updated_at': datetime.datetime(2012, 12, 29, 9, 48, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6d57c223-a89e-4d69-95bf-cd3c1f6c44f0', 'job_description': 'Cloned methodical intranet', 'start_date': datetime.datetime(2011, 1, 4, 22, 14, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 5, 15, 43, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 3, 1, 6, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7fec2c8d-ebf4-491f-a7ac-2f0b7bd35ba4', 'end_date': datetime.datetime(2010, 7, 27, 5, 27, 8), 'start_time': datetime.datetime(2011, 4, 3, 2, 3, 46), 'rate': 1, 'updated_at': datetime.datetime(2010, 5, 31, 18, 59, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e330d1b5-1b03-433c-b56f-91a4dbadba65', 'job_description': 'Progressive didactic knowledge user', 'start_date': datetime.datetime(2015, 5, 19, 4, 4, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 23, 6, 30, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 10, 1, 21, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8bd86029-0117-4cfc-b8d3-d2be3cf41ae2', 'end_date': datetime.datetime(2018, 12, 19, 22, 52, 21), 'start_time': datetime.datetime(2019, 3, 20, 7, 37, 47), 'rate': 5, 'updated_at': datetime.datetime(2011, 4, 23, 9, 54, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '683847d1-61e3-497f-a4ac-9bbeb6930ac4', 'job_description': 'Stand-alone intangible infrastructure', 'start_date': datetime.datetime(2010, 11, 25, 1, 37, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 11, 10, 38, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 22, 10, 12, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '69c0c412-d2b2-4041-b6d0-9eb7f3b93169', 'end_date': datetime.datetime(2014, 8, 8, 0, 19, 6), 'start_time': datetime.datetime(2011, 11, 30, 13, 6, 21), 'rate': 2, 'updated_at': datetime.datetime(2019, 9, 25, 3, 26, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '99f5bb0f-538c-49ff-94c9-fb12c1d11db1', 'job_description': 'Extended holistic website', 'start_date': datetime.datetime(2016, 12, 26, 13, 31, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 2, 7, 30, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 2, 22, 22, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7826a106-65b2-4a4c-84bd-821fe8650b54', 'end_date': datetime.datetime(2016, 11, 27, 10, 58, 38), 'start_time': datetime.datetime(2019, 11, 28, 17, 53, 29), 'rate': 1, 'updated_at': datetime.datetime(2014, 12, 23, 7, 20, 52), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '31f9c793-17fd-40b7-96a0-700142eb43b6', 'job_description': 'Object-based upward-trending policy', 'start_date': datetime.datetime(2012, 12, 10, 15, 23, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 13, 0, 41, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 13, 3, 8, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '35410a67-7f5f-4992-b75e-daf1bce5bebb', 'end_date': datetime.datetime(2013, 10, 13, 3, 0, 36), 'start_time': datetime.datetime(2013, 7, 13, 21, 54, 45), 'rate': 2, 'updated_at': datetime.datetime(2013, 4, 28, 8, 34, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Nauru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '362b17b6-cf7e-484a-9af5-96c1ef37b1dc', 'job_description': 'Versatile executive middleware', 'start_date': datetime.datetime(2017, 3, 3, 8, 47, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 9, 15, 57, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 18, 23, 18, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5fa28804-9cd4-445a-8e78-ac1ef4e0f07c', 'end_date': datetime.datetime(2017, 9, 27, 3, 31, 44), 'start_time': datetime.datetime(2019, 6, 7, 11, 1, 29), 'rate': 3, 'updated_at': datetime.datetime(2011, 7, 14, 6, 15, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0635ec5e-ab94-4bd3-ad44-a85a35aaade3', 'job_description': 'Innovative value-added matrix', 'start_date': datetime.datetime(2019, 6, 14, 2, 36, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 16, 11, 41, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 22, 8, 27, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8a4e3a80-33e0-4e42-81a5-17eb10766f20', 'end_date': datetime.datetime(2016, 12, 6, 18, 55, 49), 'start_time': datetime.datetime(2012, 11, 28, 12, 22, 57), 'rate': 4, 'updated_at': datetime.datetime(2017, 12, 17, 10, 46, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a3e102eb-eaeb-405b-8517-8ad790177b64', 'job_description': 'Down-sized dedicated standardization', 'start_date': datetime.datetime(2019, 5, 7, 16, 4, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 3, 9, 22, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 1, 5, 41, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3149c28a-d7f3-4252-9538-b827b256233a', 'end_date': datetime.datetime(2015, 7, 14, 15, 15, 59), 'start_time': datetime.datetime(2012, 3, 29, 12, 29, 53), 'rate': 4, 'updated_at': datetime.datetime(2017, 8, 18, 7, 4, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd874ccb9-5d9a-4661-a688-ac3092d92dfd', 'job_description': 'Self-enabling national software', 'start_date': datetime.datetime(2015, 7, 9, 8, 36, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 1, 16, 34, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 2, 14, 9, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '26241ea8-23e1-4d00-a746-608bc21c4480', 'end_date': datetime.datetime(2017, 3, 5, 4, 29, 47), 'start_time': datetime.datetime(2015, 3, 17, 13, 34, 31), 'rate': 3, 'updated_at': datetime.datetime(2013, 3, 7, 14, 15, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '52cf7224-31ee-4452-9964-95ecba34cb5b', 'job_description': 'Customer-focused mobile projection', 'start_date': datetime.datetime(2015, 1, 5, 3, 43, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 4, 5, 37, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 22, 11, 29, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f6f38ff8-1bbf-4e8b-b78b-165aa858a476', 'end_date': datetime.datetime(2017, 1, 19, 12, 30, 56), 'start_time': datetime.datetime(2010, 2, 1, 7, 9, 32), 'rate': 1, 'updated_at': datetime.datetime(2010, 7, 24, 8, 22, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Oman', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '31f72fd9-15f9-4701-8ad7-5665287dad17', 'job_description': 'Enterprise-wide client-server collaboration', 'start_date': datetime.datetime(2017, 5, 30, 2, 26, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 24, 13, 24, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 23, 10, 49, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4f4b2070-a189-46a6-98ba-f9f2ccc94ef1', 'end_date': datetime.datetime(2012, 6, 26, 2, 2, 12), 'start_time': datetime.datetime(2013, 10, 3, 17, 3, 59), 'rate': 2, 'updated_at': datetime.datetime(2012, 1, 18, 0, 30, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '50298816-b303-4868-84c8-9fac37991126', 'job_description': 'Inverse foreground adapter', 'start_date': datetime.datetime(2010, 8, 12, 12, 41, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 19, 22, 57, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 15, 20, 24, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '921845c9-e081-48c3-a038-272d6418b465', 'end_date': datetime.datetime(2015, 4, 14, 19, 24, 59), 'start_time': datetime.datetime(2019, 4, 18, 4, 44, 3), 'rate': 5, 'updated_at': datetime.datetime(2012, 7, 16, 23, 17, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e31e5c43-e903-405d-a68b-66f78765b52c', 'job_description': 'Synchronised eco-centric approach', 'start_date': datetime.datetime(2012, 1, 3, 0, 1, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 23, 9, 27, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 9, 4, 54, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '13480393-04ba-4b58-871e-86445d69cc44', 'end_date': datetime.datetime(2018, 3, 30, 2, 21, 6), 'start_time': datetime.datetime(2014, 8, 8, 8, 7, 52), 'rate': 5, 'updated_at': datetime.datetime(2010, 7, 20, 16, 32, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '01bcbf57-e29d-4ab5-aca4-3e66919cde0a', 'job_description': 'Function-based grid-enabled toolset', 'start_date': datetime.datetime(2017, 3, 13, 16, 34, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 7, 7, 4, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 1, 12, 4, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '67f5fd0d-cc38-4b98-b11c-7aeb89ae9ac1', 'end_date': datetime.datetime(2017, 4, 21, 22, 32, 4), 'start_time': datetime.datetime(2019, 11, 18, 21, 8, 6), 'rate': 3, 'updated_at': datetime.datetime(2010, 2, 2, 20, 58, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Angola', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f793119d-fae4-45c6-b9eb-8e361bca5315', 'job_description': 'Total global customer loyalty', 'start_date': datetime.datetime(2013, 9, 9, 4, 26, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 30, 19, 17, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 2, 5, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '61cecf7f-934d-4c61-a1d0-669b19a5c251', 'end_date': datetime.datetime(2019, 3, 20, 23, 52, 26), 'start_time': datetime.datetime(2019, 4, 30, 22, 36, 14), 'rate': 5, 'updated_at': datetime.datetime(2016, 1, 27, 15, 53, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b01161b-b401-4a80-924f-82eb6e398bfe', 'job_description': 'Phased foreground framework', 'start_date': datetime.datetime(2016, 2, 24, 9, 25, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 8, 7, 10, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 11, 0, 13, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9040301f-031a-4947-84f2-df6b6d6400a3', 'end_date': datetime.datetime(2019, 6, 28, 2, 45, 3), 'start_time': datetime.datetime(2014, 7, 16, 15, 57, 16), 'rate': 2, 'updated_at': datetime.datetime(2014, 5, 15, 21, 26, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35e6e3c6-a750-4e13-8f66-b2e63b206725', 'job_description': 'Robust transitional adapter', 'start_date': datetime.datetime(2014, 6, 26, 22, 41, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 25, 15, 30, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 5, 1, 31, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2a2a284-a7f1-4c48-9e93-4eda12e17343', 'end_date': datetime.datetime(2017, 7, 5, 1, 16, 45), 'start_time': datetime.datetime(2013, 3, 20, 12, 10, 50), 'rate': 5, 'updated_at': datetime.datetime(2012, 7, 15, 18, 48, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Russian Federation', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '12dee273-319c-45af-88bd-889de11ade92', 'job_description': 'Progressive content-based capability', 'start_date': datetime.datetime(2018, 8, 10, 2, 18, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 2, 21, 16, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 28, 20, 15, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7bf1fae1-5850-436f-a06c-047afef3ae98', 'end_date': datetime.datetime(2013, 11, 2, 1, 36, 11), 'start_time': datetime.datetime(2016, 6, 17, 9, 41, 12), 'rate': 3, 'updated_at': datetime.datetime(2014, 8, 21, 18, 9, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '681fbbff-e905-4902-aa36-ae4e47c3cd0c', 'job_description': 'Cloned local initiative', 'start_date': datetime.datetime(2014, 9, 4, 13, 13, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 5, 1, 58, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 18, 10, 53, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '771c5481-709e-49c0-aa37-353ed2fe9256', 'end_date': datetime.datetime(2010, 2, 20, 5, 22, 26), 'start_time': datetime.datetime(2011, 2, 26, 1, 45, 48), 'rate': 3, 'updated_at': datetime.datetime(2016, 6, 28, 20, 27, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '17bbfe23-734e-481f-91b8-28013bb2c255', 'job_description': 'Public-key regional alliance', 'start_date': datetime.datetime(2015, 2, 4, 8, 41, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 17, 14, 58, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 14, 18, 13, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0824fb3-a349-4112-b53d-ca656f043b10', 'end_date': datetime.datetime(2017, 7, 22, 3, 47, 14), 'start_time': datetime.datetime(2011, 12, 6, 4, 9, 7), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 13, 14, 21, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '25c48a49-3698-4289-90f5-88b68f71e4eb', 'job_description': 'Assimilated assymetric Graphical User Interface', 'start_date': datetime.datetime(2011, 3, 5, 6, 18, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 24, 20, 34, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 12, 2, 4, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '30ecdd6d-ffaf-4940-8aa1-15f5ab44f1a4', 'end_date': datetime.datetime(2015, 2, 1, 19, 11, 29), 'start_time': datetime.datetime(2011, 3, 20, 2, 9, 45), 'rate': 5, 'updated_at': datetime.datetime(2014, 9, 14, 4, 43, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '021c1785-20e5-466c-8212-e4422a82931a', 'job_description': 'Fundamental mission-critical capacity', 'start_date': datetime.datetime(2016, 1, 18, 10, 30, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 17, 10, 28, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 2, 20, 57, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd3e99db1-2c59-47ac-a440-1ab42962ccf1', 'end_date': datetime.datetime(2018, 12, 14, 15, 16, 6), 'start_time': datetime.datetime(2019, 8, 5, 12, 23, 40), 'rate': 1, 'updated_at': datetime.datetime(2018, 6, 15, 20, 12, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b4c58fd7-cd04-4c48-b079-b570750450cd', 'job_description': 'Digitized clear-thinking array', 'start_date': datetime.datetime(2018, 5, 19, 8, 4, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 4, 10, 42, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 14, 13, 4, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5c13346c-f953-4cd2-88c2-4a847c292d32', 'end_date': datetime.datetime(2017, 7, 27, 1, 4, 32), 'start_time': datetime.datetime(2016, 7, 15, 10, 16, 14), 'rate': 1, 'updated_at': datetime.datetime(2016, 3, 2, 22, 13, 18), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '14cfad4f-a3c2-490f-8ef7-da0ec880becf', 'job_description': 'Cloned coherent moderator', 'start_date': datetime.datetime(2010, 3, 17, 0, 48, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 12, 7, 0, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 17, 1, 41, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c322cfa7-83f6-47ce-93f1-f8642eba5782', 'end_date': datetime.datetime(2017, 11, 20, 0, 25, 13), 'start_time': datetime.datetime(2011, 8, 24, 20, 12, 26), 'rate': 3, 'updated_at': datetime.datetime(2015, 12, 18, 10, 27, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81c9cdf7-62ac-4058-be0f-8c0dfded2066', 'job_description': 'Ergonomic object-oriented productivity', 'start_date': datetime.datetime(2013, 9, 28, 21, 25, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 26, 8, 44, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 27, 9, 44, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fd33bd21-73c7-4005-b1fd-595493f67d2a', 'end_date': datetime.datetime(2017, 11, 7, 18, 17, 17), 'start_time': datetime.datetime(2014, 6, 7, 11, 57, 1), 'rate': 3, 'updated_at': datetime.datetime(2013, 9, 27, 2, 49, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5edf0994-0225-4dac-a934-fd74e47a0ff5', 'job_description': 'Fundamental bifurcated orchestration', 'start_date': datetime.datetime(2010, 1, 19, 23, 3, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 21, 15, 46, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 28, 18, 49, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7b5ce511-c34f-48f1-b42f-516db9989087', 'end_date': datetime.datetime(2018, 4, 12, 11, 8, 2), 'start_time': datetime.datetime(2011, 6, 13, 9, 42, 14), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 5, 11, 6, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8686652-cc7b-4be2-9850-e957a3a89ce8', 'job_description': 'Grass-roots intangible concept', 'start_date': datetime.datetime(2014, 9, 10, 1, 21, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 11, 3, 58, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 8, 2, 26, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b54fe148-8b9c-4f0c-8d03-3622087e2bf4', 'end_date': datetime.datetime(2016, 5, 15, 20, 17, 4), 'start_time': datetime.datetime(2015, 12, 10, 10, 27, 18), 'rate': 5, 'updated_at': datetime.datetime(2014, 1, 31, 4, 25, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6b60dfb4-e193-49e4-9c07-25f615875067', 'job_description': 'Devolved executive process improvement', 'start_date': datetime.datetime(2012, 5, 19, 1, 45, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 6, 16, 23, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 10, 19, 7, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e9dae1f6-39c0-45e4-bbe7-9d64c7805ade', 'end_date': datetime.datetime(2018, 12, 1, 7, 57), 'start_time': datetime.datetime(2011, 11, 10, 13, 6, 16), 'rate': 3, 'updated_at': datetime.datetime(2011, 11, 13, 13, 13, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c83f9610-780f-41e9-8232-cf1b5c558161', 'job_description': 'Proactive bifurcated open architecture', 'start_date': datetime.datetime(2014, 6, 20, 8, 59, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 18, 11, 31, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 11, 4, 54, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c9eb7de5-7b8b-41c0-994c-c48443162cdd', 'end_date': datetime.datetime(2017, 5, 9, 9, 30, 39), 'start_time': datetime.datetime(2016, 3, 31, 3, 1, 21), 'rate': 5, 'updated_at': datetime.datetime(2011, 5, 18, 0, 42, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1fc3c020-0c65-490b-8e0d-f2fa287048c8', 'job_description': 'Digitized exuding budgetary management', 'start_date': datetime.datetime(2016, 7, 8, 23, 35, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 12, 2, 9, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 13, 5, 33, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '094b2e98-6f5c-46b1-bf5d-0e9bc6cb4d0a', 'end_date': datetime.datetime(2010, 11, 3, 19, 11, 12), 'start_time': datetime.datetime(2016, 10, 26, 11, 2, 52), 'rate': 4, 'updated_at': datetime.datetime(2012, 2, 3, 19, 19, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fa110d2c-0b58-44eb-b19f-c0847af51514', 'job_description': 'Mandatory holistic structure', 'start_date': datetime.datetime(2015, 12, 26, 0, 10, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 11, 13, 16, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 10, 6, 45, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '279530b3-c184-4932-bc9a-900a758a7d5d', 'end_date': datetime.datetime(2015, 11, 2, 7, 42, 17), 'start_time': datetime.datetime(2018, 12, 18, 18, 43, 14), 'rate': 4, 'updated_at': datetime.datetime(2012, 4, 6, 10, 26, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fdb6e2ea-c8c6-4307-a3bd-af554a1e6895', 'job_description': 'Phased reciprocal synergy', 'start_date': datetime.datetime(2012, 3, 22, 12, 51, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 11, 9, 47, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 6, 1, 5, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '11ecedd9-0472-4051-891b-81049b5842de', 'end_date': datetime.datetime(2018, 8, 10, 15, 25, 16), 'start_time': datetime.datetime(2018, 8, 28, 4, 34, 29), 'rate': 3, 'updated_at': datetime.datetime(2012, 11, 23, 14, 43, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dbe5c00b-5929-4025-9715-00a6ebfa0b2b', 'job_description': 'Cloned optimizing moderator', 'start_date': datetime.datetime(2016, 7, 9, 10, 12, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 6, 11, 49, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 12, 18, 20, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5651a4fa-d0eb-4c80-a5cf-6f0805e802b8', 'end_date': datetime.datetime(2013, 5, 2, 23, 11, 20), 'start_time': datetime.datetime(2015, 6, 13, 8, 45, 36), 'rate': 3, 'updated_at': datetime.datetime(2017, 6, 7, 6, 15, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5e7990b6-a65f-40fa-8d19-0f2bc3f1d863', 'job_description': 'Streamlined content-based hierarchy', 'start_date': datetime.datetime(2012, 9, 18, 12, 55, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 5, 21, 55, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 12, 12, 10, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '67f4636d-2864-4aed-afb0-d0c17b599e90', 'end_date': datetime.datetime(2017, 1, 5, 14, 58, 37), 'start_time': datetime.datetime(2015, 5, 10, 22, 10, 7), 'rate': 2, 'updated_at': datetime.datetime(2014, 12, 23, 13, 26, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6822edf7-4812-4430-825f-d0c1db229017', 'job_description': 'Realigned zero administration Graphic Interface', 'start_date': datetime.datetime(2011, 11, 29, 11, 12, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 25, 10, 24, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 7, 17, 27, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '41b67366-c00e-4a61-b91d-dcd315486505', 'end_date': datetime.datetime(2017, 3, 28, 2, 25, 42), 'start_time': datetime.datetime(2014, 12, 15, 22, 24, 58), 'rate': 2, 'updated_at': datetime.datetime(2016, 3, 8, 18, 21, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '503be0a5-14e6-44f4-b515-39c7312a3ae7', 'job_description': 'Reverse-engineered real-time workforce', 'start_date': datetime.datetime(2012, 4, 1, 12, 44, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 9, 15, 4, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 24, 18, 15, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e4532887-214f-4f7f-b11b-b625b61cd803', 'end_date': datetime.datetime(2018, 6, 27, 12, 27, 1), 'start_time': datetime.datetime(2011, 9, 7, 21, 16, 25), 'rate': 2, 'updated_at': datetime.datetime(2010, 7, 4, 15, 35, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Holy See (Vatican City State)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6a5f8b8b-8072-413c-88b3-4b937b8e0a88', 'job_description': 'Networked dedicated focus group', 'start_date': datetime.datetime(2010, 7, 11, 8, 50, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 19, 4, 5, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 24, 12, 18, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '60d3a80b-44f7-406c-8785-27b575b73620', 'end_date': datetime.datetime(2012, 4, 24, 7, 38, 55), 'start_time': datetime.datetime(2016, 12, 2, 14, 25, 16), 'rate': 5, 'updated_at': datetime.datetime(2011, 9, 18, 20, 3, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Germany', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '037fcc5b-59e9-485f-aeb3-9c03cfa0b000', 'job_description': 'Customer-focused client-server conglomeration', 'start_date': datetime.datetime(2017, 10, 27, 22, 12, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 12, 2, 17, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 24, 13, 32, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '79ab906f-5364-412f-a21a-0262788ef1d4', 'end_date': datetime.datetime(2011, 5, 9, 16, 7, 31), 'start_time': datetime.datetime(2017, 11, 6, 16, 46, 50), 'rate': 3, 'updated_at': datetime.datetime(2010, 4, 22, 15, 56, 58), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '58d4fe5d-fc56-4080-a2b3-93fb8cd542c1', 'job_description': 'Seamless uniform definition', 'start_date': datetime.datetime(2018, 8, 28, 10, 1, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 25, 15, 10, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 27, 21, 54, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '603d0d99-1aa2-4945-bce3-fa2f018a16eb', 'end_date': datetime.datetime(2018, 9, 21, 13, 25, 57), 'start_time': datetime.datetime(2018, 3, 25, 6, 27, 27), 'rate': 3, 'updated_at': datetime.datetime(2018, 4, 17, 23, 46, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '50662ca0-c92f-4626-a26a-1f6d7b81d895', 'job_description': 'Exclusive global architecture', 'start_date': datetime.datetime(2011, 7, 5, 0, 5, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 3, 8, 54, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 20, 1, 40, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd171a37a-88d7-4a3a-a9c3-1639f79ee090', 'end_date': datetime.datetime(2016, 8, 26, 15, 0, 4), 'start_time': datetime.datetime(2018, 12, 10, 18, 5, 45), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 20, 11, 5, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3ab04833-4dbf-4ff3-abd9-4e4e9f04207e', 'job_description': 'Multi-channelled 3rd generation architecture', 'start_date': datetime.datetime(2016, 3, 14, 5, 40, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 23, 20, 49, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 7, 17, 44, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '58a520db-74a7-4806-ba72-ea409ec0b8a4', 'end_date': datetime.datetime(2014, 12, 21, 17, 28, 17), 'start_time': datetime.datetime(2019, 3, 6, 6, 32, 51), 'rate': 2, 'updated_at': datetime.datetime(2013, 4, 21, 20, 20, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'be6935f6-0f60-4407-8d1a-e94507f78500', 'job_description': 'Polarised static task-force', 'start_date': datetime.datetime(2017, 3, 18, 12, 19, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 15, 3, 53, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 16, 3, 33, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '15df80c3-c5af-44ad-95c0-1f17474bbc61', 'end_date': datetime.datetime(2011, 6, 6, 4, 16, 7), 'start_time': datetime.datetime(2010, 5, 23, 11, 40, 40), 'rate': 2, 'updated_at': datetime.datetime(2017, 8, 21, 6, 11, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Serbia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ef14e187-ddb4-4ed3-9a65-de38544b75b3', 'job_description': 'Public-key leading edge hub', 'start_date': datetime.datetime(2016, 7, 7, 21, 56, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 16, 17, 1, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 16, 20, 0, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a503741a-fbba-4c82-9fec-7d9905185682', 'end_date': datetime.datetime(2016, 3, 30, 10, 24, 40), 'start_time': datetime.datetime(2014, 10, 30, 17, 34, 53), 'rate': 5, 'updated_at': datetime.datetime(2015, 1, 6, 6, 25, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '777336d6-5813-4b88-b20b-7d29b4a2d9d5', 'job_description': 'Versatile coherent toolset', 'start_date': datetime.datetime(2018, 1, 19, 14, 10, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 18, 2, 37, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 28, 13, 34, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '95113d07-1a14-499c-9f93-0984a9f9d504', 'end_date': datetime.datetime(2011, 7, 18, 23, 19, 10), 'start_time': datetime.datetime(2013, 11, 17, 3, 26, 40), 'rate': 2, 'updated_at': datetime.datetime(2012, 11, 26, 4, 34, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Czech Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ac770d3f-7502-46b2-b01c-aab85f90a59d', 'job_description': 'Multi-channelled client-server projection', 'start_date': datetime.datetime(2017, 7, 12, 11, 22, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 23, 9, 31, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 22, 7, 34, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd0e3b5f7-21b1-4630-a8f7-864ae8303c89', 'end_date': datetime.datetime(2017, 8, 9, 3, 46, 48), 'start_time': datetime.datetime(2012, 6, 13, 18, 48, 21), 'rate': 5, 'updated_at': datetime.datetime(2011, 4, 8, 20, 42, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '364c0354-bd57-4773-9db9-23d6a765ecd9', 'job_description': 'Open-source radical service-desk', 'start_date': datetime.datetime(2015, 6, 24, 13, 42, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 9, 13, 5, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 8, 7, 39, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8b4cda30-17fa-4df6-bfbf-22ee19c98074', 'end_date': datetime.datetime(2017, 8, 8, 9, 13, 36), 'start_time': datetime.datetime(2015, 2, 4, 23, 27, 26), 'rate': 4, 'updated_at': datetime.datetime(2017, 10, 3, 15, 38, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7e346f51-5afc-4be4-8f27-0cb12cf9e129', 'job_description': 'Adaptive well-modulated data-warehouse', 'start_date': datetime.datetime(2016, 8, 28, 14, 20, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 14, 19, 55, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 24, 22, 3, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'def9b065-0f43-4d05-ad76-976b4ca4c85c', 'end_date': datetime.datetime(2016, 2, 24, 20, 9, 16), 'start_time': datetime.datetime(2016, 10, 19, 1, 27, 58), 'rate': 4, 'updated_at': datetime.datetime(2014, 6, 14, 12, 34, 34), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'efb25012-bbc3-4131-ac60-922110a22603', 'job_description': 'Reactive uniform website', 'start_date': datetime.datetime(2017, 12, 7, 2, 49, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 24, 6, 10, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 11, 19, 26, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dcbe701d-f730-4f43-ba49-ecfa539fbca4', 'end_date': datetime.datetime(2015, 5, 13, 5, 8, 25), 'start_time': datetime.datetime(2016, 9, 25, 13, 58, 17), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 4, 0, 39, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Botswana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b7284da4-3aa4-4295-a3e3-77a4641d8a6e', 'job_description': 'Centralized upward-trending strategy', 'start_date': datetime.datetime(2012, 6, 18, 5, 53, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 4, 20, 45, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 20, 3, 9, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c0bc2114-9338-4ad8-8756-98d10e8bfc00', 'end_date': datetime.datetime(2011, 5, 3, 14, 42, 43), 'start_time': datetime.datetime(2018, 8, 3, 15, 40, 18), 'rate': 2, 'updated_at': datetime.datetime(2019, 8, 31, 15, 32, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '547b86ad-d2b1-47c2-aae1-0b6ea364ea45', 'job_description': 'Sharable reciprocal support', 'start_date': datetime.datetime(2015, 10, 18, 23, 41, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 19, 18, 51, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 14, 0, 8, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '64e91546-49e7-443e-aee0-0254d741babb', 'end_date': datetime.datetime(2011, 1, 9, 16, 36, 28), 'start_time': datetime.datetime(2010, 3, 1, 10, 51, 55), 'rate': 4, 'updated_at': datetime.datetime(2012, 8, 23, 13, 49, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7f872452-91f7-4f27-92c1-206ad8518fcf', 'job_description': 'Seamless fault-tolerant secured line', 'start_date': datetime.datetime(2010, 2, 14, 20, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 23, 18, 38, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 5, 19, 5, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8006bec6-e50c-4ddc-98b8-24fb24eb97f7', 'end_date': datetime.datetime(2019, 1, 22, 21, 46, 43), 'start_time': datetime.datetime(2012, 3, 15, 16, 27, 11), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 12, 11, 9, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4cf12f6d-ae71-4088-b9a0-4853db20fc66', 'job_description': 'Focused high-level policy', 'start_date': datetime.datetime(2019, 2, 11, 19, 38, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 19, 2, 13, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 16, 3, 11, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '069d21d3-bb56-423b-bcaa-6b11b57cb489', 'end_date': datetime.datetime(2016, 12, 31, 6, 28, 30), 'start_time': datetime.datetime(2018, 7, 23, 12, 27, 29), 'rate': 1, 'updated_at': datetime.datetime(2017, 3, 20, 3, 29, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8dc85954-23df-46de-b83d-bf97433c7327', 'job_description': 'Multi-layered asynchronous extranet', 'start_date': datetime.datetime(2016, 1, 11, 13, 58, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 16, 17, 15, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 2, 15, 18, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f5faf7e-4b1d-4257-8091-a1e4f9f6e845', 'end_date': datetime.datetime(2013, 12, 1, 3, 59, 46), 'start_time': datetime.datetime(2018, 12, 12, 10, 0, 57), 'rate': 2, 'updated_at': datetime.datetime(2014, 10, 28, 12, 42, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '98b1e9fd-8587-4a8b-bba3-a262d3cb594a', 'job_description': 'Stand-alone clear-thinking software', 'start_date': datetime.datetime(2010, 6, 23, 19, 3, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 20, 7, 58, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 25, 13, 14, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f4e7cdac-680e-4b48-bdde-955db26e4683', 'end_date': datetime.datetime(2019, 3, 16, 19, 11), 'start_time': datetime.datetime(2011, 12, 25, 9, 22, 22), 'rate': 3, 'updated_at': datetime.datetime(2015, 3, 5, 17, 9, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '68437471-09f4-4778-8edd-1fe9481f33cd', 'job_description': 'Persevering scalable success', 'start_date': datetime.datetime(2011, 1, 24, 12, 51, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 27, 10, 49, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 19, 15, 31, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '53eeaf0f-bbff-4be3-8f9c-cfc5b73ed17b', 'end_date': datetime.datetime(2015, 5, 9, 6, 27, 43), 'start_time': datetime.datetime(2017, 5, 7, 21, 4, 51), 'rate': 5, 'updated_at': datetime.datetime(2012, 1, 10, 16, 46, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '639c8ac0-b1a9-4e93-823c-dea2e89dc1f0', 'job_description': 'Focused multi-tasking time-frame', 'start_date': datetime.datetime(2013, 7, 27, 5, 22, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 3, 8, 16, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 21, 21, 12, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a9c9eb32-8cff-438a-8a25-e6c6508630d4', 'end_date': datetime.datetime(2014, 6, 3, 20, 3, 1), 'start_time': datetime.datetime(2011, 10, 4, 14, 59, 36), 'rate': 5, 'updated_at': datetime.datetime(2015, 12, 30, 7, 40, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1e32e84e-d68e-465d-aba1-cf929b44772a', 'job_description': 'Stand-alone system-worthy paradigm', 'start_date': datetime.datetime(2011, 1, 6, 16, 14, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 18, 7, 54, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 13, 21, 58, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e608aa7b-8603-4732-a5c1-897482f79b69', 'end_date': datetime.datetime(2010, 4, 3, 0, 0, 21), 'start_time': datetime.datetime(2012, 6, 14, 20, 40, 16), 'rate': 5, 'updated_at': datetime.datetime(2016, 5, 2, 6, 6, 39), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'baf0a241-4867-4ce3-b548-45d1da846c07', 'job_description': 'Fully-configurable secondary implementation', 'start_date': datetime.datetime(2016, 9, 21, 11, 39, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 22, 4, 3, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 12, 15, 14, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '93d426d9-2ba5-4168-b5c7-b99f3525fe2f', 'end_date': datetime.datetime(2018, 2, 10, 23, 20, 11), 'start_time': datetime.datetime(2017, 8, 13, 14, 31, 6), 'rate': 5, 'updated_at': datetime.datetime(2015, 6, 7, 21, 23, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd8c033ea-1552-4907-ae71-62db09b8681e', 'job_description': 'Open-architected bi-directional knowledge base', 'start_date': datetime.datetime(2018, 5, 30, 4, 19, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 24, 11, 8, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 5, 4, 53, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c9f944d6-5bf8-4b4a-a834-c9d74479401c', 'end_date': datetime.datetime(2014, 1, 13, 3, 22, 52), 'start_time': datetime.datetime(2014, 4, 27, 11, 5, 33), 'rate': 3, 'updated_at': datetime.datetime(2011, 11, 28, 18, 15, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e4fd9e49-90e6-4d46-8707-77c7935fdf00', 'job_description': 'Devolved multi-state functionalities', 'start_date': datetime.datetime(2010, 6, 10, 7, 53, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 8, 8, 20, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 6, 1, 24, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c1b1dcd8-2b0b-4445-8588-352178ee459c', 'end_date': datetime.datetime(2017, 3, 10, 19, 6, 23), 'start_time': datetime.datetime(2013, 3, 6, 19, 26, 12), 'rate': 1, 'updated_at': datetime.datetime(2015, 12, 11, 15, 35, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c1caaaf1-ed75-4ee6-9281-1b571b6f14bc', 'job_description': 'Up-sized directional archive', 'start_date': datetime.datetime(2017, 12, 16, 19, 20, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 3, 11, 28, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 16, 8, 38, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4e00ce59-bdfe-4a0d-99c0-30ba2f5c55c7', 'end_date': datetime.datetime(2019, 11, 9, 21, 9, 9), 'start_time': datetime.datetime(2010, 6, 5, 15, 33, 10), 'rate': 1, 'updated_at': datetime.datetime(2012, 3, 15, 3, 19, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '56b38212-fa72-4d7b-be0c-9a0fdbccd803', 'job_description': 'Face to face bandwidth-monitored implementation', 'start_date': datetime.datetime(2010, 6, 12, 2, 50, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 31, 1, 0, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 5, 5, 24, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb50972e-9d56-4b22-acfc-b39a41605d9c', 'end_date': datetime.datetime(2017, 7, 2, 2, 31, 50), 'start_time': datetime.datetime(2019, 7, 24, 16, 53, 10), 'rate': 5, 'updated_at': datetime.datetime(2015, 5, 24, 5, 8, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fd998203-e35f-4cc1-ab8e-6f3090436cb1', 'job_description': 'Right-sized asynchronous standardization', 'start_date': datetime.datetime(2010, 2, 8, 4, 21, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 27, 2, 6, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 4, 15, 39, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd35fe6f8-2ff3-4265-9135-3850aed8b5f6', 'end_date': datetime.datetime(2010, 2, 25, 8, 35, 4), 'start_time': datetime.datetime(2017, 5, 23, 0, 42, 57), 'rate': 3, 'updated_at': datetime.datetime(2016, 3, 30, 16, 23, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1ba775bb-6d33-448c-9efd-31a3f700028f', 'job_description': 'Down-sized interactive firmware', 'start_date': datetime.datetime(2016, 11, 7, 3, 5, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 13, 12, 24, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 11, 19, 34, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '425537a1-cb58-4a26-92c7-b70dd036aca4', 'end_date': datetime.datetime(2011, 9, 7, 21, 31, 50), 'start_time': datetime.datetime(2016, 2, 1, 1, 22, 26), 'rate': 4, 'updated_at': datetime.datetime(2013, 11, 24, 22, 46, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e59e1d7f-7d09-4f4d-9c1c-3d300e7d4157', 'job_description': 'Cloned needs-based utilisation', 'start_date': datetime.datetime(2017, 7, 20, 22, 12, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 29, 4, 35, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 27, 14, 45, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8cdd325d-fa0c-4082-b0bd-333041220593', 'end_date': datetime.datetime(2012, 9, 6, 0, 43, 7), 'start_time': datetime.datetime(2019, 5, 30, 19, 42, 17), 'rate': 4, 'updated_at': datetime.datetime(2018, 5, 3, 8, 58, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5038487e-9582-4f8b-94f7-2ab0c56991fb', 'job_description': 'Adaptive system-worthy system engine', 'start_date': datetime.datetime(2013, 1, 13, 23, 39, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 18, 8, 34, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 27, 19, 59, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '38895c1d-4f33-42f8-9125-a6beb26cdf0b', 'end_date': datetime.datetime(2010, 11, 14, 15, 34, 5), 'start_time': datetime.datetime(2018, 3, 5, 16, 4, 39), 'rate': 4, 'updated_at': datetime.datetime(2010, 6, 6, 3, 7, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Bermuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a156de9f-f6b8-43f1-bbb0-41ec92d6ffa5', 'job_description': 'Self-enabling motivating capacity', 'start_date': datetime.datetime(2013, 5, 25, 1, 38, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 17, 7, 33, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 24, 12, 20, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a72e2da5-3078-4625-8ae6-2d3a9e0389c0', 'end_date': datetime.datetime(2017, 7, 12, 22, 57, 30), 'start_time': datetime.datetime(2018, 5, 29, 16, 22, 11), 'rate': 5, 'updated_at': datetime.datetime(2010, 8, 29, 12, 36, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Heard Island and McDonald Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f03b11e7-4497-4731-8257-e3f810f36961', 'job_description': 'Proactive dynamic database', 'start_date': datetime.datetime(2018, 6, 19, 9, 19, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 3, 7, 9, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 16, 18, 27, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ffb07a8d-0a5f-4d25-a2b3-a5df533a3f33', 'end_date': datetime.datetime(2010, 4, 10, 3, 39, 11), 'start_time': datetime.datetime(2019, 1, 27, 14, 11, 29), 'rate': 4, 'updated_at': datetime.datetime(2014, 5, 5, 23, 55, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Martinique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e765cf7b-f7d2-428d-a402-e8877ff4e6d1', 'job_description': 'Vision-oriented stable time-frame', 'start_date': datetime.datetime(2012, 6, 26, 8, 35, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 3, 17, 33, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 14, 5, 9, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ed1edfd8-502d-405d-8f9c-3eddd1a02caa', 'end_date': datetime.datetime(2011, 2, 15, 12, 49, 41), 'start_time': datetime.datetime(2017, 10, 6, 1, 43, 2), 'rate': 5, 'updated_at': datetime.datetime(2018, 10, 11, 23, 47, 35), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f9756c0e-ded3-468b-aace-8845beb2035d', 'job_description': 'Profound zero defect portal', 'start_date': datetime.datetime(2010, 10, 7, 8, 28, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 15, 13, 56, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 31, 11, 3, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2677ba5-5db9-4eef-8232-d45303a0d868', 'end_date': datetime.datetime(2011, 1, 12, 15, 18, 10), 'start_time': datetime.datetime(2012, 1, 27, 13, 49, 39), 'rate': 2, 'updated_at': datetime.datetime(2013, 6, 29, 17, 51, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5a7883f6-e9fa-46df-9b40-dd6dc42c7049', 'job_description': 'Robust radical strategy', 'start_date': datetime.datetime(2012, 7, 26, 0, 44, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 21, 19, 23, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 5, 3, 2, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'abed9db2-321e-4475-86fb-e17cdba44ec8', 'end_date': datetime.datetime(2014, 11, 28, 21, 27, 6), 'start_time': datetime.datetime(2011, 1, 12, 20, 3, 53), 'rate': 1, 'updated_at': datetime.datetime(2013, 1, 1, 18, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Belgium', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '726d4199-48b8-4b4b-8f6d-4e6d3d14d5b6', 'job_description': 'Optimized heuristic service-desk', 'start_date': datetime.datetime(2011, 9, 14, 21, 9, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 31, 6, 10, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 15, 12, 30, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dec113d5-d1c6-4d24-8cdc-9cb380fdbf8a', 'end_date': datetime.datetime(2014, 7, 12, 0, 37, 28), 'start_time': datetime.datetime(2014, 4, 23, 17, 2, 16), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 28, 22, 26, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '45078752-6c17-4a08-9365-7b369e9bf7af', 'job_description': 'Integrated bandwidth-monitored superstructure', 'start_date': datetime.datetime(2019, 7, 17, 19, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 26, 16, 59, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 9, 2, 27, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '04fecd68-a3df-4dcf-8522-0498e4a11db1', 'end_date': datetime.datetime(2016, 8, 13, 17, 29, 47), 'start_time': datetime.datetime(2018, 5, 22, 19, 8, 23), 'rate': 5, 'updated_at': datetime.datetime(2018, 4, 29, 7, 0, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fa282f4f-9739-4d18-86b3-aee668bc37f5', 'job_description': 'Synchronised well-modulated focus group', 'start_date': datetime.datetime(2015, 4, 9, 15, 41, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 18, 0, 5, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 10, 18, 40, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a74fc2a6-4674-4322-ba9b-cf758a78383b', 'end_date': datetime.datetime(2017, 7, 28, 21, 12, 53), 'start_time': datetime.datetime(2013, 1, 23, 6, 43, 13), 'rate': 4, 'updated_at': datetime.datetime(2015, 2, 18, 4, 8, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cae73b2e-2972-4200-a9c0-74f4fc6bd03f', 'job_description': 'Cloned foreground focus group', 'start_date': datetime.datetime(2016, 8, 6, 6, 39, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 7, 0, 31, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 22, 16, 17, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '29e824ce-fe52-40fc-a446-d505c3e95dba', 'end_date': datetime.datetime(2012, 9, 23, 7, 12, 52), 'start_time': datetime.datetime(2018, 8, 17, 17, 5, 5), 'rate': 5, 'updated_at': datetime.datetime(2019, 11, 7, 0, 33, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '59b0746a-8bda-4a12-8329-2c8c5fdbc23b', 'job_description': 'Public-key user-facing architecture', 'start_date': datetime.datetime(2012, 7, 27, 23, 19, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 27, 12, 39, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 26, 16, 39, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b27eb258-196a-4569-bb49-930b5850a691', 'end_date': datetime.datetime(2016, 10, 16, 4, 57, 14), 'start_time': datetime.datetime(2011, 7, 24, 20, 52, 32), 'rate': 5, 'updated_at': datetime.datetime(2015, 2, 11, 5, 2, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e4860f4e-92dc-480e-8f90-5d2cdc246f92', 'job_description': 'Up-sized holistic task-force', 'start_date': datetime.datetime(2012, 10, 2, 5, 28, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 25, 0, 19, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 8, 16, 10, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b1aaae58-fa38-4905-aac9-17c923ee799c', 'end_date': datetime.datetime(2019, 7, 19, 0, 49, 59), 'start_time': datetime.datetime(2018, 3, 8, 12, 53, 10), 'rate': 1, 'updated_at': datetime.datetime(2010, 7, 8, 16, 8, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1406de42-5b71-427e-96ae-63a51f46db7a', 'job_description': 'Advanced value-added monitoring', 'start_date': datetime.datetime(2015, 10, 16, 22, 19, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 14, 11, 57, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 21, 21, 54, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '557291b2-3d0f-43ba-9270-30d054b33f26', 'end_date': datetime.datetime(2012, 7, 12, 5, 57, 59), 'start_time': datetime.datetime(2010, 9, 2, 4, 37, 49), 'rate': 5, 'updated_at': datetime.datetime(2012, 8, 11, 1, 8, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd32d4454-c78b-43d6-b85d-8ca2066be72a', 'job_description': 'Extended human-resource benchmark', 'start_date': datetime.datetime(2016, 2, 19, 18, 8, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 4, 12, 19, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 27, 13, 26, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1773d577-1089-4ceb-a0c0-7b15998e3a62', 'end_date': datetime.datetime(2011, 6, 26, 17, 38), 'start_time': datetime.datetime(2015, 12, 16, 15, 27, 39), 'rate': 1, 'updated_at': datetime.datetime(2010, 4, 12, 14, 14, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Peru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8f5235c2-f4f2-47bb-abb7-3225977449bc', 'job_description': 'Automated bi-directional methodology', 'start_date': datetime.datetime(2017, 10, 26, 18, 4, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 31, 9, 56, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 6, 19, 1, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dbeca1f0-284e-447c-baf5-a106b1288962', 'end_date': datetime.datetime(2011, 3, 13, 1, 57, 1), 'start_time': datetime.datetime(2019, 10, 13, 1, 17, 56), 'rate': 4, 'updated_at': datetime.datetime(2011, 11, 27, 23, 24, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': '03cce9ed-832a-464f-98b0-7efb810c8172', 'job_description': 'Ameliorated 3rd generation paradigm', 'start_date': datetime.datetime(2013, 6, 4, 14, 8, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 4, 4, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 2, 18, 49, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6b61492d-9cd0-432c-8a59-767b21cf456a', 'end_date': datetime.datetime(2011, 11, 18, 22, 3, 5), 'start_time': datetime.datetime(2011, 4, 8, 11, 26, 5), 'rate': 2, 'updated_at': datetime.datetime(2019, 8, 17, 19, 10, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': 'a0f1a6ed-cd5e-4ee6-9688-eab415c933c3', 'job_description': 'Operative motivating success', 'start_date': datetime.datetime(2011, 10, 12, 15, 53, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 24, 1, 36, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 29, 8, 43, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f560b0b5-bef8-4fe5-9793-91220fc37d90', 'end_date': datetime.datetime(2012, 8, 13, 22, 27, 6), 'start_time': datetime.datetime(2015, 1, 10, 10, 9, 43), 'rate': 1, 'updated_at': datetime.datetime(2017, 11, 20, 16, 52, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Isle of Man', 'special_note': 'thanks'}
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{'_id': 'e0b9776b-e112-4484-a60e-778131ef05ed', 'job_description': 'Implemented optimizing contingency', 'start_date': datetime.datetime(2014, 7, 16, 13, 11, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 23, 5, 1, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 17, 3, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '18a7d28e-dfb4-4dea-91dd-200f758bd6ce', 'end_date': datetime.datetime(2017, 10, 14, 13, 12, 40), 'start_time': datetime.datetime(2016, 12, 27, 20, 18, 38), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 13, 6, 58, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Tuvalu', 'special_note': 'thanks'}
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{'_id': '797ca102-3b52-44e5-9734-1cac5d958e15', 'job_description': 'Public-key secondary knowledge user', 'start_date': datetime.datetime(2018, 8, 18, 0, 14, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 23, 16, 24, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 21, 2, 54, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '18b406c6-ff41-443d-9c6d-ec76b136f7ce', 'end_date': datetime.datetime(2015, 6, 3, 4, 11, 20), 'start_time': datetime.datetime(2016, 5, 3, 21, 54, 33), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 4, 12, 35, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
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{'_id': 'a26949b0-3a66-4483-ac0c-66fec1065b54', 'job_description': 'Mandatory local superstructure', 'start_date': datetime.datetime(2014, 10, 22, 19, 45, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 20, 19, 39, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 18, 22, 13, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cb7a81b3-582b-40b5-9c76-7b02c2994480', 'end_date': datetime.datetime(2015, 10, 2, 12, 51, 19), 'start_time': datetime.datetime(2018, 5, 25, 17, 14, 7), 'rate': 5, 'updated_at': datetime.datetime(2018, 11, 18, 7, 35, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': '159d31d6-4cdf-4e35-bb96-ae91d0c7e64b', 'job_description': 'Self-enabling bi-directional open system', 'start_date': datetime.datetime(2012, 8, 28, 16, 12, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 29, 23, 2, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 18, 6, 33, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aaf41f41-6b35-4cb7-9fd6-8f909c558881', 'end_date': datetime.datetime(2015, 7, 18, 14, 48, 37), 'start_time': datetime.datetime(2010, 7, 18, 3, 7, 51), 'rate': 3, 'updated_at': datetime.datetime(2013, 12, 16, 21, 19, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': 'ccec6349-c0e0-4792-9b2e-b26bd138b286', 'job_description': 'Reduced methodical conglomeration', 'start_date': datetime.datetime(2015, 8, 7, 21, 0, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 13, 21, 0, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 25, 19, 11, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '58d7f474-3328-4cbd-b82e-8518f5c5e523', 'end_date': datetime.datetime(2019, 2, 17, 12, 16, 1), 'start_time': datetime.datetime(2017, 5, 17, 18, 58, 5), 'rate': 2, 'updated_at': datetime.datetime(2017, 12, 29, 4, 1, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
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{'_id': 'e24a6db9-73eb-4013-a19f-d4896ff05f40', 'job_description': 'Realigned exuding artificial intelligence', 'start_date': datetime.datetime(2015, 8, 29, 1, 50, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 15, 7, 4, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 13, 21, 30, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a82a60c7-250d-43c9-972b-458cd08c8d2f', 'end_date': datetime.datetime(2015, 7, 20, 21, 6, 45), 'start_time': datetime.datetime(2017, 1, 16, 20, 25, 38), 'rate': 1, 'updated_at': datetime.datetime(2019, 8, 31, 18, 40, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': '7ba03740-fb97-4841-94a5-97ade1e6e649', 'job_description': 'Robust non-volatile productivity', 'start_date': datetime.datetime(2019, 7, 3, 6, 54, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 28, 22, 38, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 25, 14, 5, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aa101c32-5af0-4ffb-a158-af9407aaf04c', 'end_date': datetime.datetime(2013, 8, 2, 17, 33, 7), 'start_time': datetime.datetime(2018, 5, 18, 16, 2, 51), 'rate': 5, 'updated_at': datetime.datetime(2015, 6, 29, 2, 58, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
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{'_id': 'f7cc2add-9049-4b2f-8865-a35f7cd1ea27', 'job_description': 'Re-contextualized multi-state parallelism', 'start_date': datetime.datetime(2015, 6, 7, 0, 26, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 27, 22, 44, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 13, 15, 2, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bb2d9b3c-26c2-4b2c-8862-00b846d06351', 'end_date': datetime.datetime(2013, 9, 28, 13, 28, 45), 'start_time': datetime.datetime(2018, 3, 5, 14, 18, 45), 'rate': 5, 'updated_at': datetime.datetime(2019, 4, 8, 13, 39, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Montserrat', 'special_note': 'thanks'}
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{'_id': 'e4bb535c-cfe9-443a-b55c-82f82862cc73', 'job_description': 'Polarised logistical moratorium', 'start_date': datetime.datetime(2011, 6, 22, 4, 49, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 16, 0, 39, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 28, 21, 46, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2fa7f835-88b8-4fc1-acbb-014cd6ebae43', 'end_date': datetime.datetime(2019, 11, 18, 0, 5, 41), 'start_time': datetime.datetime(2010, 10, 12, 9, 47, 33), 'rate': 2, 'updated_at': datetime.datetime(2016, 2, 3, 17, 53, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': 'a0c25371-1cb9-4aa0-a7dd-2b5bef2ba58e', 'job_description': 'Cross-platform fresh-thinking archive', 'start_date': datetime.datetime(2017, 10, 27, 14, 36, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 3, 12, 33, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 14, 9, 7, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '763ea4a6-33bc-4662-8265-4b4189267408', 'end_date': datetime.datetime(2012, 9, 15, 15, 56, 17), 'start_time': datetime.datetime(2012, 8, 30, 18, 29, 38), 'rate': 4, 'updated_at': datetime.datetime(2014, 3, 12, 16, 57, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
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{'_id': 'eb184c9c-713b-4aeb-bfe4-a4bb1e27542f', 'job_description': 'Implemented bandwidth-monitored info-mediaries', 'start_date': datetime.datetime(2015, 12, 11, 3, 7, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 16, 21, 0, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 6, 2, 58, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '85ad8bdd-1345-4269-aaf8-d274765d6a5e', 'end_date': datetime.datetime(2019, 1, 23, 2, 55, 16), 'start_time': datetime.datetime(2014, 1, 25, 3, 2, 1), 'rate': 4, 'updated_at': datetime.datetime(2018, 6, 21, 21, 41, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
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{'_id': 'a23e0ae7-99f7-44a7-abb4-d37a526a3777', 'job_description': 'Progressive motivating Graphic Interface', 'start_date': datetime.datetime(2011, 10, 1, 13, 0, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 1, 16, 2, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 24, 17, 47, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'abf32cf7-2aff-45bb-b83a-96251156d0cd', 'end_date': datetime.datetime(2016, 12, 23, 19, 38, 39), 'start_time': datetime.datetime(2013, 4, 21, 6, 0, 58), 'rate': 4, 'updated_at': datetime.datetime(2011, 8, 24, 8, 49, 10), 'job_title': 'CoffeeMaker', 'service_id': 'New Caledonia', 'special_note': 'thanks'}
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{'_id': 'ac70392b-af77-4661-9179-f1a2e3c19d46', 'job_description': 'Implemented client-driven application', 'start_date': datetime.datetime(2017, 6, 5, 17, 55, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 18, 7, 33, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 16, 1, 51, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '62b54cfe-21df-408b-9576-8c515ff22dd1', 'end_date': datetime.datetime(2013, 2, 23, 19, 5, 48), 'start_time': datetime.datetime(2014, 7, 3, 9, 8, 38), 'rate': 2, 'updated_at': datetime.datetime(2017, 7, 4, 16, 27, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
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{'_id': 'b5ea733c-c56f-4c21-b6d7-e16844b4ebbe', 'job_description': 'Fundamental dynamic strategy', 'start_date': datetime.datetime(2016, 8, 1, 4, 53, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 15, 3, 55, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 2, 11, 46, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ba3f0cd2-75d9-406b-8813-f53d2be309a1', 'end_date': datetime.datetime(2018, 8, 12, 6, 36, 51), 'start_time': datetime.datetime(2018, 7, 21, 11, 58, 32), 'rate': 5, 'updated_at': datetime.datetime(2013, 9, 3, 10, 28, 11), 'job_title': 'CoffeeMaker', 'service_id': 'India', 'special_note': 'thanks'}
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{'_id': '93bd5689-e7aa-4a7f-889e-df125777b433', 'job_description': 'Secured maximized help-desk', 'start_date': datetime.datetime(2016, 4, 23, 6, 51, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 18, 9, 15, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 22, 19, 38, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8891347e-4ddc-4643-b03d-9837e235c32b', 'end_date': datetime.datetime(2011, 4, 25, 13, 9, 21), 'start_time': datetime.datetime(2019, 9, 1, 9, 11, 50), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 30, 17, 29, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
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{'_id': '6640d5a8-b337-4980-8310-8cb96e883904', 'job_description': 'Compatible directional toolset', 'start_date': datetime.datetime(2014, 8, 12, 21, 35, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 8, 23, 10, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 30, 13, 19, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '286ced72-18a6-416a-ac85-032309b684e5', 'end_date': datetime.datetime(2019, 8, 8, 9, 36, 4), 'start_time': datetime.datetime(2010, 11, 14, 11, 42, 57), 'rate': 5, 'updated_at': datetime.datetime(2014, 9, 7, 23, 54, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Puerto Rico', 'special_note': 'thanks'}
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{'_id': '4f451f05-3b13-4948-99e5-ab20bafd3329', 'job_description': 'Open-source high-level installation', 'start_date': datetime.datetime(2011, 12, 28, 0, 51, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 9, 15, 59, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 8, 11, 2, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e192e8dc-09be-4913-bc42-79619eb29d95', 'end_date': datetime.datetime(2012, 3, 10, 17, 30, 58), 'start_time': datetime.datetime(2012, 9, 17, 3, 3, 20), 'rate': 4, 'updated_at': datetime.datetime(2017, 12, 20, 4, 18, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': 'bd3359f3-b8a3-4b11-9f83-b7da61cb54b0', 'job_description': 'Future-proofed tangible knowledge user', 'start_date': datetime.datetime(2016, 9, 5, 5, 35, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 30, 5, 23, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 8, 13, 44, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0efbea15-c8fe-4141-8cec-d2c6f3b00982', 'end_date': datetime.datetime(2010, 11, 13, 4, 43, 51), 'start_time': datetime.datetime(2015, 4, 9, 15, 32, 19), 'rate': 1, 'updated_at': datetime.datetime(2014, 2, 21, 22, 36, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
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{'_id': '193c77c3-0d21-4b49-b52c-8d8decf3e1b2', 'job_description': 'Operative heuristic synergy', 'start_date': datetime.datetime(2012, 12, 17, 11, 28, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 22, 5, 42, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 20, 0, 32, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4a45d443-d9fc-484f-a472-d581fd3b7e43', 'end_date': datetime.datetime(2014, 3, 24, 19, 29, 29), 'start_time': datetime.datetime(2015, 2, 22, 16, 39, 33), 'rate': 3, 'updated_at': datetime.datetime(2013, 1, 3, 14, 55, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': '80d3ff4a-6244-4267-9689-d4a300e3d43c', 'job_description': 'Vision-oriented impactful leverage', 'start_date': datetime.datetime(2010, 10, 5, 11, 44, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 30, 17, 0, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 29, 18, 42, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '370e85d6-a7a9-4bce-a945-55d76cf7bb59', 'end_date': datetime.datetime(2010, 3, 23, 17, 27, 36), 'start_time': datetime.datetime(2016, 5, 15, 4, 26, 59), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 5, 14, 53, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5092b1d7-d591-4195-b314-ba72b010a1ce', 'job_description': 'Phased leading edge info-mediaries', 'start_date': datetime.datetime(2012, 9, 7, 13, 49, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 12, 13, 59, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 1, 6, 46, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '16b8d3c4-67c2-4d24-b69f-19849d8de38a', 'end_date': datetime.datetime(2017, 6, 15, 17, 8, 55), 'start_time': datetime.datetime(2011, 3, 1, 21, 8, 35), 'rate': 5, 'updated_at': datetime.datetime(2017, 8, 5, 12, 18, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4c21be0c-7be8-4bf9-83c2-34491481432c', 'job_description': 'Pre-emptive impactful workforce', 'start_date': datetime.datetime(2015, 1, 28, 7, 49, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 6, 21, 38, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 31, 2, 0, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dfbdb388-245d-4bb2-9c8e-3692d6d9413d', 'end_date': datetime.datetime(2014, 5, 15, 22, 1, 55), 'start_time': datetime.datetime(2011, 12, 6, 14, 5, 49), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 28, 3, 12, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9f7b78b1-de2c-49c1-b786-ba1be6b8ccbd', 'job_description': 'Proactive discrete benchmark', 'start_date': datetime.datetime(2018, 8, 12, 22, 16, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 16, 3, 22, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 24, 11, 58, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44b375a0-1b35-47c1-b04a-82eb719d0ed3', 'end_date': datetime.datetime(2010, 12, 2, 12, 19, 25), 'start_time': datetime.datetime(2017, 3, 27, 6, 49, 53), 'rate': 2, 'updated_at': datetime.datetime(2016, 2, 28, 12, 49, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7490773a-7a4c-4374-8025-644632794939', 'job_description': 'Object-based holistic collaboration', 'start_date': datetime.datetime(2010, 7, 9, 4, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 28, 19, 8, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 25, 20, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e1715ed-00f1-4952-8450-3b797f868414', 'end_date': datetime.datetime(2018, 1, 16, 7, 46, 7), 'start_time': datetime.datetime(2018, 5, 4, 2, 48, 32), 'rate': 2, 'updated_at': datetime.datetime(2019, 6, 22, 16, 1, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cf1413d8-bb69-42b8-9117-9aea5fe53a6d', 'job_description': 'Versatile even-keeled help-desk', 'start_date': datetime.datetime(2010, 11, 7, 13, 25, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 27, 6, 0, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 28, 8, 44, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dfaca082-a503-4779-a2e2-1a6d602ac731', 'end_date': datetime.datetime(2013, 12, 12, 22, 12, 48), 'start_time': datetime.datetime(2012, 11, 18, 12, 51, 19), 'rate': 5, 'updated_at': datetime.datetime(2011, 2, 22, 20, 8, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3806f11a-6651-4433-a070-9a2163a85fae', 'job_description': 'Compatible 24/7 adapter', 'start_date': datetime.datetime(2015, 8, 21, 13, 50, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 1, 14, 22, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 19, 23, 4, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '999b5a3e-e191-4a71-8eac-32cad4a8d21c', 'end_date': datetime.datetime(2017, 9, 1, 9, 29, 12), 'start_time': datetime.datetime(2013, 5, 23, 18, 41, 51), 'rate': 3, 'updated_at': datetime.datetime(2013, 12, 10, 23, 13, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '037f123f-cb4c-4b36-b5d2-f0abf7c8d94b', 'job_description': 'Re-engineered interactive matrix', 'start_date': datetime.datetime(2014, 9, 24, 5, 46, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 12, 21, 15, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 1, 17, 32, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e7c24ec4-2bbf-46fd-bb2c-4392853c3f38', 'end_date': datetime.datetime(2012, 4, 28, 14, 24, 23), 'start_time': datetime.datetime(2018, 12, 3, 14, 39, 57), 'rate': 4, 'updated_at': datetime.datetime(2016, 12, 23, 5, 31, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ea2d1777-bb86-40de-9298-1d8f4409a888', 'job_description': 'Configurable assymetric open architecture', 'start_date': datetime.datetime(2016, 9, 23, 15, 4, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 2, 19, 20, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 24, 6, 15, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd5eb7ae2-f9ff-4910-a414-950343d95d94', 'end_date': datetime.datetime(2013, 9, 1, 10, 10, 53), 'start_time': datetime.datetime(2010, 10, 25, 3, 29, 48), 'rate': 1, 'updated_at': datetime.datetime(2016, 9, 14, 23, 12, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Antarctica (the territory South of 60 deg S)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '215e990d-f676-434e-822d-e550119269a4', 'job_description': 'Advanced system-worthy firmware', 'start_date': datetime.datetime(2017, 11, 13, 17, 29, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 17, 14, 7, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 9, 20, 17, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '74884cb8-980a-4168-955e-1e0fdac31873', 'end_date': datetime.datetime(2016, 6, 26, 2, 27, 43), 'start_time': datetime.datetime(2012, 8, 6, 11, 21, 5), 'rate': 1, 'updated_at': datetime.datetime(2013, 3, 27, 18, 31, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '91493010-40ac-4125-8ed9-cc16ce965962', 'job_description': 'Multi-tiered systematic data-warehouse', 'start_date': datetime.datetime(2019, 2, 24, 14, 37, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 24, 1, 23, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 2, 9, 54, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e1b13cb-ec83-4a12-be51-1af1a36788fa', 'end_date': datetime.datetime(2012, 12, 29, 15, 18, 2), 'start_time': datetime.datetime(2011, 10, 29, 17, 20, 14), 'rate': 1, 'updated_at': datetime.datetime(2018, 5, 12, 7, 7, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '14271fc1-9ac7-433e-8da6-e17c3ecefb4a', 'job_description': 'Synergistic foreground implementation', 'start_date': datetime.datetime(2012, 11, 12, 15, 10, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 30, 13, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 27, 22, 19, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f49a3f38-d875-4e33-bcf9-67e2b2df1d98', 'end_date': datetime.datetime(2015, 7, 22, 12, 2, 48), 'start_time': datetime.datetime(2014, 9, 25, 16, 45, 29), 'rate': 1, 'updated_at': datetime.datetime(2019, 8, 10, 7, 36, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '209ee79b-5524-4926-8c03-a93a64244470', 'job_description': 'Ergonomic reciprocal matrix', 'start_date': datetime.datetime(2016, 7, 16, 2, 3, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 2, 8, 2, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 24, 19, 55, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '147a25ee-cb34-4e44-a7e1-f7fb8abc97a8', 'end_date': datetime.datetime(2013, 12, 2, 1, 25, 44), 'start_time': datetime.datetime(2015, 1, 1, 21, 9, 57), 'rate': 5, 'updated_at': datetime.datetime(2011, 10, 4, 18, 19, 55), 'job_title': 'CoffeeMaker', 'service_id': 'South Africa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fbb9f58f-8178-4bae-a4d6-82ff288e0911', 'job_description': 'Enterprise-wide responsive orchestration', 'start_date': datetime.datetime(2011, 10, 23, 1, 42, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 27, 5, 37, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 1, 5, 52, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ef8dfb39-86ec-48b3-90b1-6809d49e1cb6', 'end_date': datetime.datetime(2019, 3, 16, 0, 20, 48), 'start_time': datetime.datetime(2013, 9, 15, 6, 3, 9), 'rate': 5, 'updated_at': datetime.datetime(2018, 8, 6, 7, 29, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '75d41b20-1011-42cb-9f51-fe28be382759', 'job_description': 'Multi-layered context-sensitive policy', 'start_date': datetime.datetime(2018, 4, 7, 22, 41, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 16, 15, 46, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 18, 17, 43, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24d35a8c-fea0-498e-a2f9-f382ce23aa43', 'end_date': datetime.datetime(2019, 6, 20, 22, 37, 35), 'start_time': datetime.datetime(2012, 5, 7, 5, 37, 38), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 30, 0, 39, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '11cfa6bf-b3c0-43bf-8604-b77429820c61', 'job_description': 'Managed object-oriented firmware', 'start_date': datetime.datetime(2010, 3, 8, 4, 43, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 10, 6, 33, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 6, 16, 14, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e03732b9-4029-4489-85ce-c93f0afb4206', 'end_date': datetime.datetime(2012, 7, 22, 23, 16, 37), 'start_time': datetime.datetime(2016, 12, 21, 15, 57, 55), 'rate': 5, 'updated_at': datetime.datetime(2018, 10, 19, 20, 38, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aad3d922-5e6a-4337-bf50-2cee588665de', 'job_description': 'Focused mobile moratorium', 'start_date': datetime.datetime(2018, 6, 5, 18, 59, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 13, 3, 26, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 20, 1, 12, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e668367f-3de6-493e-996b-1ba2158f4472', 'end_date': datetime.datetime(2017, 12, 13, 23, 59, 17), 'start_time': datetime.datetime(2016, 9, 16, 22, 55, 53), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 3, 21, 9, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '87b27d4c-bd68-4330-8dcf-0d4703c96b8c', 'job_description': 'User-centric multi-state open system', 'start_date': datetime.datetime(2016, 2, 14, 12, 47, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 17, 19, 50, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 11, 10, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '767681df-f80f-4faf-b1f8-d9426505737a', 'end_date': datetime.datetime(2010, 9, 30, 15, 51, 18), 'start_time': datetime.datetime(2017, 10, 18, 6, 21, 16), 'rate': 2, 'updated_at': datetime.datetime(2016, 4, 14, 22, 20, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '283d0592-f7da-44b2-8ca2-b31f82c049d8', 'job_description': 'Cloned interactive collaboration', 'start_date': datetime.datetime(2014, 8, 29, 23, 49, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 23, 19, 30, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 4, 23, 48, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '40485a17-0daa-4cee-9520-fcf0600d758f', 'end_date': datetime.datetime(2019, 9, 10, 1, 55, 51), 'start_time': datetime.datetime(2013, 10, 14, 9, 21, 20), 'rate': 1, 'updated_at': datetime.datetime(2017, 12, 1, 19, 48, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '34140202-3312-41c3-92ab-82bce14b0db9', 'job_description': 'Multi-lateral discrete knowledge base', 'start_date': datetime.datetime(2011, 7, 4, 17, 36, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 2, 8, 33, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 5, 10, 30, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '778051e1-d72c-4f6c-a573-c4d695222fe9', 'end_date': datetime.datetime(2019, 12, 1, 3, 44, 6), 'start_time': datetime.datetime(2014, 11, 8, 4, 32, 57), 'rate': 1, 'updated_at': datetime.datetime(2016, 8, 8, 9, 35, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '28208968-6d61-47d3-b78b-54ff1c59ee58', 'job_description': 'Automated next generation moratorium', 'start_date': datetime.datetime(2014, 1, 15, 3, 49, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 21, 18, 29, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 26, 4, 26, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '84ce8a7f-d7e2-4284-84fc-4d5b0007cad9', 'end_date': datetime.datetime(2014, 6, 28, 10, 45, 35), 'start_time': datetime.datetime(2019, 11, 1, 21, 41, 5), 'rate': 1, 'updated_at': datetime.datetime(2019, 5, 14, 11, 5, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '831bde47-4f19-40e1-9cb2-81347a65f64e', 'job_description': 'Devolved interactive policy', 'start_date': datetime.datetime(2017, 8, 10, 3, 7, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 10, 21, 26, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 5, 6, 31, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ccac09f3-e88b-4d5a-9b13-a236107dffe8', 'end_date': datetime.datetime(2016, 10, 14, 3, 0, 33), 'start_time': datetime.datetime(2010, 10, 1, 3, 50, 44), 'rate': 4, 'updated_at': datetime.datetime(2015, 7, 11, 15, 49, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '13a02192-5bd8-469e-bfe9-4e08c6140087', 'job_description': 'Ameliorated bifurcated data-warehouse', 'start_date': datetime.datetime(2018, 7, 6, 2, 31, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 27, 17, 58, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 21, 14, 44, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '555bee3c-4bfe-4b08-b196-59bc6025bb89', 'end_date': datetime.datetime(2010, 10, 2, 15, 47, 42), 'start_time': datetime.datetime(2014, 4, 19, 22, 15, 1), 'rate': 4, 'updated_at': datetime.datetime(2019, 5, 31, 5, 58, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '627741dc-036e-4f4a-b71e-17d3c82afebd', 'job_description': 'Decentralized reciprocal matrix', 'start_date': datetime.datetime(2015, 11, 7, 2, 10, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 7, 6, 24, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 14, 3, 7, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5092f14-0fb4-44e3-8534-138b6368ccaa', 'end_date': datetime.datetime(2010, 7, 4, 5, 4, 31), 'start_time': datetime.datetime(2013, 1, 15, 19, 15, 12), 'rate': 1, 'updated_at': datetime.datetime(2017, 8, 10, 7, 59, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '870fe982-7f0d-4d7e-abc5-a82b3c15fd1e', 'job_description': 'Digitized modular attitude', 'start_date': datetime.datetime(2013, 9, 17, 20, 40, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 10, 3, 39, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 13, 20, 17, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c80d49a5-b5e8-45b0-9da5-81c10f03558b', 'end_date': datetime.datetime(2017, 6, 3, 1, 22, 45), 'start_time': datetime.datetime(2017, 6, 16, 15, 49, 8), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 19, 5, 45, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e4550fb8-b872-4057-aa02-bf88c21c547c', 'job_description': 'Proactive web-enabled pricing structure', 'start_date': datetime.datetime(2015, 6, 13, 10, 56, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 20, 5, 0, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 15, 2, 55, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'faad8096-07ef-424b-8a28-1add5f850e1c', 'end_date': datetime.datetime(2010, 8, 12, 7, 18, 51), 'start_time': datetime.datetime(2014, 8, 14, 7, 29, 39), 'rate': 1, 'updated_at': datetime.datetime(2016, 3, 2, 22, 32, 58), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e437ee7b-69c6-4e92-a5f2-b8a568b4b59a', 'job_description': 'Business-focused tertiary superstructure', 'start_date': datetime.datetime(2017, 11, 16, 19, 47, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 18, 1, 47, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 1, 10, 56, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aa927907-e302-41bd-9c84-61d0d80525e5', 'end_date': datetime.datetime(2019, 8, 20, 11, 35, 15), 'start_time': datetime.datetime(2012, 10, 11, 13, 10, 31), 'rate': 4, 'updated_at': datetime.datetime(2015, 7, 18, 20, 49, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '90bf2e8e-774c-4466-8f7a-3cf13fe0c635', 'job_description': 'User-centric eco-centric local area network', 'start_date': datetime.datetime(2012, 6, 23, 0, 48, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 29, 10, 43, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 17, 15, 1, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f087cab-fcdd-4497-904d-e5f18aa0ccd9', 'end_date': datetime.datetime(2014, 8, 12, 14, 36, 28), 'start_time': datetime.datetime(2019, 2, 10, 6, 7, 58), 'rate': 3, 'updated_at': datetime.datetime(2016, 9, 15, 17, 59, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fe985b0a-23be-495c-bcdf-59d0b26dd94d', 'job_description': 'Re-engineered multi-state database', 'start_date': datetime.datetime(2011, 1, 20, 9, 27, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 31, 17, 32, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 29, 21, 11, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3ef359a0-1114-4303-b821-7934924e84c2', 'end_date': datetime.datetime(2016, 12, 22, 4, 25, 1), 'start_time': datetime.datetime(2015, 7, 23, 0, 52, 51), 'rate': 5, 'updated_at': datetime.datetime(2018, 9, 27, 20, 0, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ae2989b-24d5-4ef8-9525-0afa39e9962f', 'job_description': 'Quality-focused scalable circuit', 'start_date': datetime.datetime(2013, 2, 26, 19, 58, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 11, 16, 57, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 9, 11, 16, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cd4e9f72-e285-4b4f-b0e8-2dce79637160', 'end_date': datetime.datetime(2010, 9, 5, 23, 13, 11), 'start_time': datetime.datetime(2016, 10, 9, 17, 56, 1), 'rate': 2, 'updated_at': datetime.datetime(2010, 9, 27, 14, 23, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8b6fca0c-26c2-468e-ab7e-159dce1a3a82', 'job_description': 'Horizontal multi-tasking software', 'start_date': datetime.datetime(2017, 5, 24, 6, 3, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 25, 16, 59, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 30, 23, 3, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '856c022d-0950-4921-9cda-021e4a29de37', 'end_date': datetime.datetime(2018, 10, 11, 19, 7, 51), 'start_time': datetime.datetime(2018, 12, 7, 18, 54, 2), 'rate': 4, 'updated_at': datetime.datetime(2010, 9, 30, 15, 59, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Latvia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b5fb3b57-9733-4302-a8d7-86a5cdbaa134', 'job_description': 'Cross-platform holistic attitude', 'start_date': datetime.datetime(2011, 11, 9, 10, 5, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 11, 13, 59, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 6, 19, 33, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4104a560-f950-451c-8a52-1d5f70f36423', 'end_date': datetime.datetime(2018, 10, 8, 2, 24, 32), 'start_time': datetime.datetime(2019, 4, 5, 22, 58, 47), 'rate': 5, 'updated_at': datetime.datetime(2017, 10, 15, 11, 51, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'efd5774a-86e6-4f98-b57d-be24be8976b1', 'job_description': 'Robust neutral productivity', 'start_date': datetime.datetime(2013, 12, 24, 7, 1, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 9, 12, 9, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 23, 14, 57, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '29845823-f723-44b7-a181-520eefb3441d', 'end_date': datetime.datetime(2012, 8, 19, 1, 32, 15), 'start_time': datetime.datetime(2017, 2, 18, 3, 3, 29), 'rate': 2, 'updated_at': datetime.datetime(2012, 12, 26, 23, 34, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1f7c2a59-950f-4540-92c9-a8d15aa090e8', 'job_description': 'Robust maximized extranet', 'start_date': datetime.datetime(2011, 11, 24, 13, 6, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 21, 21, 13, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 14, 11, 5, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '99a0182a-7352-4e73-a752-7cdb7da23675', 'end_date': datetime.datetime(2013, 11, 4, 15, 2, 14), 'start_time': datetime.datetime(2011, 8, 18, 8, 37, 51), 'rate': 4, 'updated_at': datetime.datetime(2014, 3, 24, 17, 54, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4240f0d5-258b-41e6-bef5-494e05e5347e', 'job_description': 'Future-proofed actuating methodology', 'start_date': datetime.datetime(2016, 9, 24, 12, 39, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 6, 20, 43, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 25, 12, 42, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c30ea69b-4ae6-4a5e-95e5-6f236b212e44', 'end_date': datetime.datetime(2017, 7, 28, 13, 54, 9), 'start_time': datetime.datetime(2016, 10, 28, 0, 8, 45), 'rate': 2, 'updated_at': datetime.datetime(2012, 12, 15, 5, 0, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
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{'_id': '869b832d-2488-4b03-8480-2c634558f380', 'job_description': 'Switchable scalable data-warehouse', 'start_date': datetime.datetime(2015, 7, 2, 10, 11, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 21, 10, 23, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 5, 18, 21, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '401a63c4-d7bd-4d2a-bad9-2a11e98d223f', 'end_date': datetime.datetime(2012, 11, 14, 17, 37, 32), 'start_time': datetime.datetime(2011, 10, 14, 17, 54, 11), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 10, 2, 1, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Japan', 'special_note': 'thanks'}
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{'_id': 'aba384d1-e517-4994-bb78-c8bf4d1a9660', 'job_description': 'Polarised zero administration definition', 'start_date': datetime.datetime(2017, 4, 19, 23, 46, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 17, 2, 26, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 19, 19, 40, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e55ae505-9925-448e-ab43-f5dd1f45137a', 'end_date': datetime.datetime(2014, 11, 15, 15, 59, 15), 'start_time': datetime.datetime(2012, 1, 31, 22, 38, 15), 'rate': 4, 'updated_at': datetime.datetime(2012, 10, 8, 20, 38, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
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{'_id': 'fcb30075-f9a9-4af5-8315-d18b0789a64f', 'job_description': 'Object-based heuristic superstructure', 'start_date': datetime.datetime(2011, 9, 17, 18, 37, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 8, 13, 38, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 31, 18, 47, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b37bb111-88c1-49f5-bd22-fb4dba558358', 'end_date': datetime.datetime(2010, 6, 12, 7, 32, 4), 'start_time': datetime.datetime(2014, 9, 7, 16, 48, 28), 'rate': 1, 'updated_at': datetime.datetime(2012, 10, 15, 20, 14, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
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{'_id': '0b3e80d9-855d-491c-ae79-5f806453800a', 'job_description': 'Multi-layered fault-tolerant benchmark', 'start_date': datetime.datetime(2016, 6, 24, 18, 21, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 26, 17, 20, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 14, 12, 20, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77246afb-433e-46b0-99d0-9a1d0fc8f4bf', 'end_date': datetime.datetime(2017, 6, 29, 19, 53, 23), 'start_time': datetime.datetime(2013, 8, 13, 1, 38, 13), 'rate': 5, 'updated_at': datetime.datetime(2010, 7, 27, 6, 36, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '19c34edb-0ce7-462b-9de3-1a83d39309ad', 'job_description': 'Managed motivating solution', 'start_date': datetime.datetime(2019, 2, 6, 16, 50, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 27, 18, 17, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 19, 4, 22, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2ef9bde-be45-4a71-909c-4b7ee5c1cbb2', 'end_date': datetime.datetime(2014, 5, 8, 11, 41, 27), 'start_time': datetime.datetime(2011, 12, 16, 10, 17, 19), 'rate': 3, 'updated_at': datetime.datetime(2013, 5, 29, 1, 18, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
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{'_id': '085743b7-3f5f-4534-bdfb-e64dfb3166a1', 'job_description': 'Profound systematic internet solution', 'start_date': datetime.datetime(2016, 11, 1, 1, 35, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 17, 5, 42, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 6, 16, 41, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '25971566-f124-470b-87ac-7652d61d14af', 'end_date': datetime.datetime(2017, 12, 18, 1, 44, 45), 'start_time': datetime.datetime(2012, 1, 1, 5, 0, 29), 'rate': 3, 'updated_at': datetime.datetime(2010, 4, 12, 14, 42, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
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{'_id': '28b061a6-1992-48d0-b430-ac1541ba9b31', 'job_description': 'Integrated motivating forecast', 'start_date': datetime.datetime(2011, 11, 3, 9, 12, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 13, 17, 4, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 1, 11, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '55736ffa-74d9-43c7-9d97-413b3f3bd6fd', 'end_date': datetime.datetime(2015, 3, 29, 16, 41, 8), 'start_time': datetime.datetime(2011, 8, 9, 13, 8, 55), 'rate': 5, 'updated_at': datetime.datetime(2016, 6, 12, 13, 58, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Indonesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c241d702-79de-4d26-80a4-d0f6c7a5562f', 'job_description': 'Centralized bandwidth-monitored focus group', 'start_date': datetime.datetime(2010, 9, 28, 18, 28, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 10, 17, 41, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 19, 18, 51, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '984a987e-612c-4486-aba4-1608e48b8fbd', 'end_date': datetime.datetime(2013, 5, 10, 2, 59, 49), 'start_time': datetime.datetime(2017, 9, 15, 23, 21, 12), 'rate': 4, 'updated_at': datetime.datetime(2016, 3, 19, 14, 44, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Gambia', 'special_note': 'thanks'}
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{'_id': '510a3f9d-08ab-49c7-84d9-5ca2bbc81981', 'job_description': 'Grass-roots actuating help-desk', 'start_date': datetime.datetime(2013, 5, 24, 15, 12, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 9, 0, 9, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 25, 12, 34, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '12d5fe65-278a-4759-983b-924dc6b71eb7', 'end_date': datetime.datetime(2012, 7, 10, 18, 10, 42), 'start_time': datetime.datetime(2017, 2, 4, 13, 12, 5), 'rate': 4, 'updated_at': datetime.datetime(2017, 2, 20, 2, 26, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ec27c0b1-637a-4440-b05d-819a4f4c135d', 'job_description': 'Self-enabling next generation groupware', 'start_date': datetime.datetime(2012, 4, 28, 10, 58, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 21, 14, 22, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 20, 6, 46, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'caf694e6-ab3f-4f32-9eb7-317142dfbe89', 'end_date': datetime.datetime(2011, 11, 29, 18, 0, 46), 'start_time': datetime.datetime(2013, 10, 4, 14, 38, 22), 'rate': 2, 'updated_at': datetime.datetime(2012, 11, 25, 10, 49, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '9038c4bc-e629-4fda-a36d-43b3137ea245', 'job_description': 'Synergistic intangible toolset', 'start_date': datetime.datetime(2011, 8, 8, 16, 27, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 24, 0, 15, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 13, 12, 49, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c14266a-c463-478d-bb89-672b8de53a37', 'end_date': datetime.datetime(2010, 6, 8, 7, 50, 31), 'start_time': datetime.datetime(2016, 7, 5, 14, 31, 16), 'rate': 5, 'updated_at': datetime.datetime(2013, 7, 19, 21, 8, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
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{'_id': 'af0eee51-a64a-449a-86ad-ef0b218a2a8e', 'job_description': 'Phased 24/7 knowledge user', 'start_date': datetime.datetime(2019, 6, 25, 9, 6, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 8, 4, 44, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 7, 11, 59, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5167cbcb-d60e-4845-a160-ba5ecb14b67f', 'end_date': datetime.datetime(2012, 6, 22, 13, 41, 5), 'start_time': datetime.datetime(2017, 8, 14, 20, 35, 18), 'rate': 1, 'updated_at': datetime.datetime(2017, 6, 23, 16, 53, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
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{'_id': 'c301c81e-46bd-4a3f-9eb2-60ecd058cf89', 'job_description': 'Synchronised motivating customer loyalty', 'start_date': datetime.datetime(2011, 4, 12, 11, 14, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 1, 15, 12, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 12, 20, 3, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6da4f413-3651-4854-a4bb-3f5120d5233e', 'end_date': datetime.datetime(2018, 2, 8, 10, 42, 24), 'start_time': datetime.datetime(2012, 2, 25, 20, 20, 19), 'rate': 5, 'updated_at': datetime.datetime(2016, 3, 26, 21, 11, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '8f0fbf99-7152-4ea8-b813-317ff145c160', 'job_description': 'Optional client-server throughput', 'start_date': datetime.datetime(2016, 8, 22, 18, 38, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 11, 19, 13, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 5, 22, 25, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5d510755-3ba3-4e8f-99a7-0965cac40041', 'end_date': datetime.datetime(2015, 1, 14, 22, 19, 10), 'start_time': datetime.datetime(2014, 1, 19, 2, 30, 18), 'rate': 2, 'updated_at': datetime.datetime(2018, 6, 18, 22, 12, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
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{'_id': '6673e4b7-d492-48f1-95c9-78aa44c636e3', 'job_description': 'Implemented executive application', 'start_date': datetime.datetime(2015, 7, 5, 11, 4, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 15, 19, 11, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 15, 1, 8, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c45ba24f-5ea4-45b3-a0a0-590009e6c429', 'end_date': datetime.datetime(2014, 3, 20, 19, 9, 33), 'start_time': datetime.datetime(2015, 12, 18, 9, 26, 3), 'rate': 4, 'updated_at': datetime.datetime(2018, 12, 23, 18, 26, 54), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
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{'_id': 'fac81d45-0729-42e5-9b3b-bd6dd3e0e57f', 'job_description': 'Open-architected well-modulated support', 'start_date': datetime.datetime(2010, 9, 15, 16, 36, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 17, 8, 42, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 11, 6, 16, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fba5db5f-bb3f-43c4-b1cb-2e10486999a7', 'end_date': datetime.datetime(2013, 2, 26, 21, 1, 32), 'start_time': datetime.datetime(2011, 6, 16, 18, 25, 16), 'rate': 5, 'updated_at': datetime.datetime(2017, 4, 6, 20, 5, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
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{'_id': 'fcc38e19-df6d-44b9-b8c5-32711be7806e', 'job_description': 'Secured zero defect approach', 'start_date': datetime.datetime(2011, 3, 1, 17, 25, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 21, 1, 34, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 3, 14, 34, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3097d24e-421a-4a21-88cd-2e28c1441982', 'end_date': datetime.datetime(2018, 10, 31, 0, 38, 29), 'start_time': datetime.datetime(2012, 5, 13, 11, 18, 25), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 1, 5, 15, 14), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6d3ca47f-25ce-4075-9674-da6c25fb1a74', 'job_description': 'Synchronised bifurcated throughput', 'start_date': datetime.datetime(2013, 6, 21, 22, 8, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 25, 8, 15, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 24, 13, 17, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5da48683-6800-4902-9a54-cb6cffb00b1f', 'end_date': datetime.datetime(2015, 5, 21, 6, 52, 22), 'start_time': datetime.datetime(2015, 6, 18, 13, 41, 48), 'rate': 2, 'updated_at': datetime.datetime(2013, 3, 21, 16, 9, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Andorra', 'special_note': 'thanks'}
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{'_id': '8c906cd4-39d2-4aa6-af73-6b25f483a6c6', 'job_description': 'Ergonomic explicit interface', 'start_date': datetime.datetime(2016, 8, 27, 12, 7, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 7, 20, 52, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 23, 1, 53, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6190e838-c86d-4564-a5c6-5ee435fbd55e', 'end_date': datetime.datetime(2017, 5, 12, 22, 20, 20), 'start_time': datetime.datetime(2017, 12, 5, 8, 54, 5), 'rate': 1, 'updated_at': datetime.datetime(2017, 11, 27, 10, 40, 50), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
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{'_id': '4c6b1077-e5c5-4a48-87f1-4e6d20b93ef4', 'job_description': 'Right-sized bi-directional customer loyalty', 'start_date': datetime.datetime(2012, 8, 3, 0, 11, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 19, 17, 0, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 13, 8, 47, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3d45e6e3-f643-4ed2-aba1-360e6ecb8b39', 'end_date': datetime.datetime(2013, 9, 4, 9, 39, 37), 'start_time': datetime.datetime(2016, 3, 30, 19, 45, 2), 'rate': 2, 'updated_at': datetime.datetime(2016, 7, 17, 21, 32, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a740db5a-8d25-4801-b29c-900854665d7f', 'job_description': 'Ergonomic non-volatile flexibility', 'start_date': datetime.datetime(2015, 10, 2, 0, 13, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 21, 7, 28, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 19, 20, 48, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8405360f-1cce-4dfc-871b-beeb420367bd', 'end_date': datetime.datetime(2012, 4, 9, 20, 30, 21), 'start_time': datetime.datetime(2019, 10, 19, 0, 27, 45), 'rate': 1, 'updated_at': datetime.datetime(2014, 2, 12, 10, 22, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
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{'_id': 'ebd92571-1bee-42b8-94e6-fe8313bdd35a', 'job_description': 'Up-sized zero tolerance Graphic Interface', 'start_date': datetime.datetime(2010, 10, 20, 15, 7, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 28, 22, 51, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 6, 12, 34, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2bf324f7-fdca-438f-bdba-b2855eb8da5f', 'end_date': datetime.datetime(2019, 11, 17, 2, 0, 42), 'start_time': datetime.datetime(2012, 4, 15, 2, 24, 10), 'rate': 3, 'updated_at': datetime.datetime(2018, 8, 12, 15, 23, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
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{'_id': '680355e2-feda-4b58-b533-edf255b62580', 'job_description': 'Configurable 3rd generation policy', 'start_date': datetime.datetime(2018, 3, 23, 8, 52, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 17, 22, 44, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 13, 14, 28, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '98f30ed6-f365-4f4f-8bd0-3276760b6e10', 'end_date': datetime.datetime(2014, 9, 25, 23, 47, 25), 'start_time': datetime.datetime(2016, 11, 17, 14, 39, 8), 'rate': 3, 'updated_at': datetime.datetime(2012, 6, 7, 9, 26, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Antigua and Barbuda', 'special_note': 'thanks'}
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{'_id': '91ab7dcd-f1b2-419d-af12-ad2da669a5a5', 'job_description': 'Sharable methodical info-mediaries', 'start_date': datetime.datetime(2017, 10, 30, 0, 21, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 3, 5, 52, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 23, 18, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e096948d-0b00-4023-a592-71014e03f75b', 'end_date': datetime.datetime(2010, 3, 17, 16, 22, 7), 'start_time': datetime.datetime(2014, 5, 29, 20, 1, 43), 'rate': 1, 'updated_at': datetime.datetime(2010, 9, 10, 19, 10, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
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{'_id': 'c14e0207-175a-43bb-a510-aa1bab74dbcc', 'job_description': 'Open-architected assymetric moratorium', 'start_date': datetime.datetime(2017, 10, 31, 22, 56, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 31, 14, 22, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 20, 1, 11, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5ff05568-7304-498c-8a20-2867686cc700', 'end_date': datetime.datetime(2019, 5, 16, 3, 54, 12), 'start_time': datetime.datetime(2013, 5, 26, 15, 11, 15), 'rate': 3, 'updated_at': datetime.datetime(2016, 8, 23, 13, 17, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
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{'_id': '6b07cdc8-01bd-408f-a404-354d7523b40a', 'job_description': 'Right-sized composite benchmark', 'start_date': datetime.datetime(2013, 10, 25, 17, 24, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 22, 3, 5, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 6, 17, 29, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '55aaae7e-d1ce-4d39-a0da-41c4fa96b1f7', 'end_date': datetime.datetime(2018, 4, 29, 23, 47, 26), 'start_time': datetime.datetime(2015, 6, 26, 17, 49, 26), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 6, 1, 52, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e2430fb4-c101-46f1-b515-edc1b4a43dc0', 'job_description': 'Cross-platform actuating attitude', 'start_date': datetime.datetime(2013, 11, 26, 14, 14, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 2, 8, 18, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 13, 23, 38, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '67e90a76-875f-40a5-8845-4c602fe34725', 'end_date': datetime.datetime(2018, 5, 16, 0, 8, 18), 'start_time': datetime.datetime(2016, 11, 12, 19, 5, 4), 'rate': 4, 'updated_at': datetime.datetime(2018, 6, 7, 10, 3, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de9219c0-fd59-421a-8a61-6c1e5aada2fd', 'job_description': 'Horizontal hybrid architecture', 'start_date': datetime.datetime(2012, 1, 19, 20, 30, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 9, 7, 9, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 9, 17, 41, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eae60ac1-8cdf-4fed-9940-c02cd43252f4', 'end_date': datetime.datetime(2015, 7, 30, 10, 14, 57), 'start_time': datetime.datetime(2014, 6, 2, 6, 7, 34), 'rate': 1, 'updated_at': datetime.datetime(2011, 7, 15, 12, 58, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2101248d-d955-4143-882b-2a1b4cdb4bdb', 'job_description': 'Optimized needs-based matrices', 'start_date': datetime.datetime(2014, 4, 14, 15, 8, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 8, 12, 2, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 10, 4, 23, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3678899d-7a4d-465e-b77d-c6b68a52dfcf', 'end_date': datetime.datetime(2013, 6, 22, 18, 26, 7), 'start_time': datetime.datetime(2013, 11, 17, 5, 34, 8), 'rate': 4, 'updated_at': datetime.datetime(2012, 12, 21, 13, 21, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e5408965-db01-4700-bb19-0679ca54c0d4', 'job_description': 'Decentralized logistical interface', 'start_date': datetime.datetime(2014, 9, 6, 14, 43, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 27, 19, 55, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 6, 19, 28, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '17e04a3b-a2d2-473a-ac08-29f3180e5e9d', 'end_date': datetime.datetime(2015, 12, 5, 2, 11, 59), 'start_time': datetime.datetime(2016, 4, 6, 7, 24, 15), 'rate': 4, 'updated_at': datetime.datetime(2011, 1, 12, 18, 12, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Afghanistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '13e8dc1a-422e-4032-8c48-ee44bc526b9b', 'job_description': 'Automated optimal encoding', 'start_date': datetime.datetime(2012, 4, 4, 1, 33, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 1, 23, 31, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 7, 22, 17, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e535f7bd-f7fc-4e55-a2c0-36d080ccd1b1', 'end_date': datetime.datetime(2015, 7, 23, 20, 51, 51), 'start_time': datetime.datetime(2012, 6, 7, 5, 51, 58), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 5, 19, 15, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8d516c89-e414-407c-8981-c0353daa7822', 'job_description': 'Monitored context-sensitive success', 'start_date': datetime.datetime(2010, 7, 30, 10, 3, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 15, 4, 32, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 19, 19, 31, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a211b1c6-d999-49de-8379-b8f769a8fea5', 'end_date': datetime.datetime(2018, 1, 18, 4, 41, 35), 'start_time': datetime.datetime(2011, 10, 7, 12, 24, 55), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 27, 6, 47, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Liberia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6ff1d74d-326f-4a7e-b1d5-66527373bca7', 'job_description': 'Balanced assymetric productivity', 'start_date': datetime.datetime(2018, 4, 23, 4, 28, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 4, 14, 31, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 4, 13, 13, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3b3f79f7-eea9-4ce1-8ea5-24ddf43a5dc6', 'end_date': datetime.datetime(2011, 4, 10, 21, 4, 18), 'start_time': datetime.datetime(2012, 9, 29, 19, 43, 50), 'rate': 1, 'updated_at': datetime.datetime(2016, 12, 11, 14, 58, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2ce4646f-8e14-4518-bbc3-58f318da914e', 'job_description': 'Networked optimal middleware', 'start_date': datetime.datetime(2018, 6, 10, 8, 8, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 29, 21, 29, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 14, 6, 14, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '81f7306c-4e76-4bc2-ad0b-e812346f813d', 'end_date': datetime.datetime(2011, 5, 16, 7, 31, 31), 'start_time': datetime.datetime(2019, 9, 27, 15, 14, 19), 'rate': 5, 'updated_at': datetime.datetime(2012, 7, 24, 13, 11, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9d0575b7-4299-46c6-a9e7-c965da224d73', 'job_description': 'Switchable solution-oriented methodology', 'start_date': datetime.datetime(2013, 11, 9, 8, 24, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 22, 5, 26, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 22, 11, 4, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6cfcd6a9-92a6-4531-9b27-6cb939e0807c', 'end_date': datetime.datetime(2013, 5, 20, 17, 33, 59), 'start_time': datetime.datetime(2016, 10, 12, 9, 37, 49), 'rate': 5, 'updated_at': datetime.datetime(2013, 8, 23, 12, 23, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c902dee-6c19-46be-93f0-f62248e1ef99', 'job_description': 'Universal fresh-thinking conglomeration', 'start_date': datetime.datetime(2011, 5, 16, 16, 0, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 31, 9, 32, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 3, 18, 28, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '26e05ed8-be55-4328-a47b-beea1f90a61b', 'end_date': datetime.datetime(2016, 10, 12, 4, 21, 8), 'start_time': datetime.datetime(2018, 9, 28, 10, 56, 47), 'rate': 1, 'updated_at': datetime.datetime(2017, 6, 20, 13, 30, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '069f60c3-3bc6-4ca1-88fd-df60928b35e5', 'job_description': 'Enterprise-wide assymetric protocol', 'start_date': datetime.datetime(2012, 8, 13, 2, 5, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 11, 10, 32, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 22, 16, 24, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8341d2ec-0b0c-480e-8ea9-13d267fd7600', 'end_date': datetime.datetime(2014, 10, 31, 4, 6, 51), 'start_time': datetime.datetime(2019, 1, 4, 0, 27, 26), 'rate': 5, 'updated_at': datetime.datetime(2017, 8, 19, 20, 38, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0fd754e0-f892-44b1-a627-4cd7fd7c7e3d', 'job_description': 'Synergistic explicit matrix', 'start_date': datetime.datetime(2013, 6, 11, 5, 13, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 10, 13, 14, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 12, 12, 35, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '419e2b03-9317-438a-a3d2-f4353e9c0836', 'end_date': datetime.datetime(2012, 12, 16, 11, 26, 34), 'start_time': datetime.datetime(2017, 7, 1, 16, 47, 36), 'rate': 5, 'updated_at': datetime.datetime(2016, 12, 3, 4, 18, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Mozambique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '85ca10d8-46b9-43dd-a421-cc758b4572fa', 'job_description': 'Digitized local forecast', 'start_date': datetime.datetime(2016, 9, 28, 23, 27, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 2, 9, 33, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 7, 3, 26, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'da2ea698-f593-4136-bf6d-42eb4e0fa940', 'end_date': datetime.datetime(2018, 6, 5, 1, 10, 46), 'start_time': datetime.datetime(2011, 1, 20, 16, 57, 38), 'rate': 1, 'updated_at': datetime.datetime(2010, 12, 16, 4, 1, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
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{'_id': 'c82ce951-7d83-41c8-85ea-f8a896ffc55e', 'job_description': 'Implemented empowering intranet', 'start_date': datetime.datetime(2014, 9, 13, 2, 13, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 25, 2, 42, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 9, 5, 40, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '99a054e2-ccb6-4ee8-82d1-d21fe339094b', 'end_date': datetime.datetime(2014, 5, 9, 21, 19, 30), 'start_time': datetime.datetime(2019, 10, 19, 13, 53, 55), 'rate': 1, 'updated_at': datetime.datetime(2012, 12, 31, 17, 7, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
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{'_id': 'c256b66d-6c8a-472a-833c-c5887230a845', 'job_description': 'Object-based systemic initiative', 'start_date': datetime.datetime(2014, 4, 25, 3, 15, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 21, 10, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 22, 2, 36, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0d015d9-4353-4b3b-b677-126557e82634', 'end_date': datetime.datetime(2012, 11, 23, 8, 31, 41), 'start_time': datetime.datetime(2012, 12, 16, 11, 4, 26), 'rate': 5, 'updated_at': datetime.datetime(2017, 10, 2, 1, 45, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f31e2ef2-c0e9-46f0-82d2-982a597aaf77', 'job_description': 'Sharable grid-enabled methodology', 'start_date': datetime.datetime(2014, 8, 1, 10, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 22, 9, 57, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 2, 1, 25, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd9e1894a-2c78-4daa-82ae-2e183677ea3f', 'end_date': datetime.datetime(2015, 1, 10, 2, 10, 58), 'start_time': datetime.datetime(2010, 7, 30, 12, 43, 2), 'rate': 2, 'updated_at': datetime.datetime(2019, 5, 9, 16, 40, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c34bafd2-9db0-475b-b5ad-6a4c1907f3dc', 'job_description': 'Distributed system-worthy challenge', 'start_date': datetime.datetime(2016, 5, 27, 10, 56, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 26, 20, 15, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 25, 19, 1, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea4e3bf2-97f2-42a3-a470-9f20c4004c9a', 'end_date': datetime.datetime(2017, 4, 11, 16, 9, 57), 'start_time': datetime.datetime(2012, 3, 19, 4, 31, 21), 'rate': 5, 'updated_at': datetime.datetime(2019, 5, 7, 11, 19, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '22c18e99-7919-4ace-8b32-7d5b7adc3d28', 'job_description': 'Advanced reciprocal productivity', 'start_date': datetime.datetime(2011, 11, 16, 19, 34, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 9, 20, 9, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 3, 6, 56, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '73bc4ccf-707f-4f56-86eb-e335c5f61b8f', 'end_date': datetime.datetime(2018, 7, 5, 20, 24, 2), 'start_time': datetime.datetime(2014, 8, 4, 6, 16, 40), 'rate': 4, 'updated_at': datetime.datetime(2016, 4, 23, 16, 6, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
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{'_id': 'c81dab36-c46e-43cf-8f1c-d8d6b288745e', 'job_description': 'Down-sized zero administration implementation', 'start_date': datetime.datetime(2017, 1, 7, 8, 20, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 17, 14, 2, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 1, 20, 48, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e3a1292a-c5af-4595-8f9f-85df17e206f1', 'end_date': datetime.datetime(2013, 10, 22, 13, 37, 27), 'start_time': datetime.datetime(2013, 1, 16, 2, 12, 48), 'rate': 3, 'updated_at': datetime.datetime(2014, 7, 28, 3, 18, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c5134de2-1915-4e1d-9416-3192fb007e5a', 'job_description': 'Cross-platform stable conglomeration', 'start_date': datetime.datetime(2013, 2, 19, 16, 51, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 2, 4, 0, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 21, 23, 36, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6fd13bda-d710-4ba3-863f-8446a4770073', 'end_date': datetime.datetime(2015, 5, 15, 3, 15, 52), 'start_time': datetime.datetime(2010, 4, 27, 21, 28, 55), 'rate': 4, 'updated_at': datetime.datetime(2013, 4, 16, 17, 31, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '43bf560d-4dd3-4cad-bc29-23fd248f87ac', 'job_description': 'Cross-group zero tolerance throughput', 'start_date': datetime.datetime(2019, 7, 4, 10, 30, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 11, 5, 12, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 17, 20, 43, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6d5cd67e-0a42-428a-bab1-ebd8a842900e', 'end_date': datetime.datetime(2018, 6, 4, 1, 14, 30), 'start_time': datetime.datetime(2014, 3, 5, 16, 53, 16), 'rate': 2, 'updated_at': datetime.datetime(2019, 4, 15, 5, 8, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a75b1205-27cd-4448-8101-16bb88fcedce', 'job_description': 'Sharable modular open architecture', 'start_date': datetime.datetime(2017, 12, 10, 1, 17, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 4, 12, 51, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 19, 18, 4, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7db4fd10-1fb1-45b4-bcc7-09c4c586bb6e', 'end_date': datetime.datetime(2018, 4, 6, 22, 57, 19), 'start_time': datetime.datetime(2018, 11, 3, 0, 44, 54), 'rate': 3, 'updated_at': datetime.datetime(2017, 2, 13, 11, 34, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Bhutan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd7ee926c-cfd1-4753-b59e-228750a55a4c', 'job_description': 'Robust client-server emulation', 'start_date': datetime.datetime(2013, 2, 18, 10, 47, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 29, 10, 35, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 24, 21, 17, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4417b655-dd9f-4da2-98f9-a498c10940a7', 'end_date': datetime.datetime(2012, 9, 28, 11, 1, 48), 'start_time': datetime.datetime(2016, 11, 24, 13, 44, 25), 'rate': 1, 'updated_at': datetime.datetime(2015, 9, 8, 15, 51, 38), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd3b5fb36-5953-48c8-a636-181a1ff78540', 'job_description': 'Universal solution-oriented protocol', 'start_date': datetime.datetime(2010, 3, 19, 1, 18, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 7, 5, 16, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 16, 1, 32, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2550f0c0-3c0a-4d2d-9cb4-a54ea01cf453', 'end_date': datetime.datetime(2011, 9, 19, 19, 59, 3), 'start_time': datetime.datetime(2013, 10, 12, 15, 20, 16), 'rate': 4, 'updated_at': datetime.datetime(2016, 2, 3, 17, 38, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'df289074-72a9-43d1-a596-c9aca553114b', 'job_description': 'Realigned executive productivity', 'start_date': datetime.datetime(2018, 2, 23, 5, 18, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 28, 8, 55, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 2, 4, 13, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9c82d2bf-1679-4627-89f5-beac80846dfa', 'end_date': datetime.datetime(2014, 8, 7, 21, 15, 46), 'start_time': datetime.datetime(2014, 8, 15, 21, 56, 23), 'rate': 1, 'updated_at': datetime.datetime(2013, 11, 15, 12, 35, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7e8f2faf-d168-4d99-8cb4-c4cf4e6ec486', 'job_description': 'Robust non-volatile implementation', 'start_date': datetime.datetime(2011, 1, 31, 20, 47, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 27, 17, 3, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 2, 23, 14, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '430da785-30bf-43cc-9588-cbb98c6f2aab', 'end_date': datetime.datetime(2017, 4, 20, 20, 22, 13), 'start_time': datetime.datetime(2011, 5, 8, 7, 32, 45), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 10, 9, 26, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
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{'_id': 'a4918aaa-111d-410f-87ad-fedea212f9a3', 'job_description': 'Team-oriented needs-based Graphic Interface', 'start_date': datetime.datetime(2019, 11, 20, 7, 40, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 8, 13, 31, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 27, 14, 51, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b6937f62-cbc8-4e7b-9c1d-ee87b0c457a2', 'end_date': datetime.datetime(2013, 9, 24, 14, 59, 19), 'start_time': datetime.datetime(2015, 4, 26, 12, 2, 3), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 11, 20, 44, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
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{'_id': '95181203-81bd-4b23-a591-2f64da431499', 'job_description': 'Cross-platform asynchronous open system', 'start_date': datetime.datetime(2016, 4, 4, 13, 2, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 23, 5, 21, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 16, 2, 11, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e879e35-a702-420c-8813-b74f7a030f77', 'end_date': datetime.datetime(2013, 5, 19, 8, 22, 29), 'start_time': datetime.datetime(2018, 6, 30, 10, 48, 25), 'rate': 5, 'updated_at': datetime.datetime(2016, 4, 18, 14, 19, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '493c5a87-2a72-442c-aae6-f4734481e461', 'job_description': 'Right-sized multi-state customer loyalty', 'start_date': datetime.datetime(2017, 10, 16, 4, 57, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 23, 21, 49, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 27, 5, 29, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'da192be0-630a-4a0f-a1e2-13a5741396df', 'end_date': datetime.datetime(2015, 7, 7, 16, 4, 2), 'start_time': datetime.datetime(2019, 7, 29, 5, 47, 34), 'rate': 3, 'updated_at': datetime.datetime(2017, 12, 18, 4, 51, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '47f0b1f8-82f6-4e56-9f25-6a6a520ae802', 'job_description': 'Business-focused bottom-line standardization', 'start_date': datetime.datetime(2017, 10, 18, 7, 38, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 11, 8, 46, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 15, 1, 5, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'deffe607-c0f0-4974-8cd3-26b453816d00', 'end_date': datetime.datetime(2017, 6, 20, 5, 51, 54), 'start_time': datetime.datetime(2016, 9, 18, 9, 52, 29), 'rate': 1, 'updated_at': datetime.datetime(2015, 7, 14, 11, 40, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Jersey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd0e7200a-2980-4f10-a6fe-c20c63d3379c', 'job_description': 'Monitored zero defect superstructure', 'start_date': datetime.datetime(2017, 11, 23, 8, 48, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 13, 16, 12, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 29, 12, 11, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b332349f-29e3-4a39-893c-0083491ea00a', 'end_date': datetime.datetime(2012, 1, 30, 7, 15, 58), 'start_time': datetime.datetime(2018, 1, 8, 3, 2, 33), 'rate': 2, 'updated_at': datetime.datetime(2013, 6, 7, 1, 7, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Netherlands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8488d984-8e31-4ce8-8a74-41123b1f6722', 'job_description': 'Focused optimal success', 'start_date': datetime.datetime(2014, 6, 21, 17, 22, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 11, 14, 10, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 6, 20, 57, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dae0224c-bd11-49ed-b3d0-396d39e8f008', 'end_date': datetime.datetime(2011, 3, 7, 14, 36, 45), 'start_time': datetime.datetime(2012, 8, 28, 3, 13, 40), 'rate': 1, 'updated_at': datetime.datetime(2016, 3, 14, 11, 54, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c74b2b21-d605-4d99-b87c-1a75741dc932', 'job_description': 'Cross-group mission-critical standardization', 'start_date': datetime.datetime(2010, 1, 31, 5, 57, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 27, 7, 24, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 13, 8, 38, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '92a9798d-6a3a-46e9-8dee-3d2d64c72255', 'end_date': datetime.datetime(2010, 5, 17, 19, 2, 32), 'start_time': datetime.datetime(2010, 11, 12, 5, 11, 21), 'rate': 1, 'updated_at': datetime.datetime(2011, 10, 1, 0, 43, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bc22f715-0e7f-40ec-a2bd-54a34bb136e6', 'job_description': 'Re-contextualized methodical collaboration', 'start_date': datetime.datetime(2017, 10, 19, 17, 15, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 30, 18, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 4, 0, 18, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '159ab5b1-9e7d-435d-89e1-aedcbd9e7f5d', 'end_date': datetime.datetime(2017, 7, 24, 17, 49, 35), 'start_time': datetime.datetime(2019, 10, 1, 22, 30, 17), 'rate': 5, 'updated_at': datetime.datetime(2017, 8, 7, 2, 58, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8f81c15-cd81-4f15-bf5d-0faeab7a2ac9', 'job_description': 'Advanced tangible benchmark', 'start_date': datetime.datetime(2017, 4, 18, 2, 35, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 12, 9, 57, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 24, 8, 52, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'da316a88-3e26-4d2b-9586-52531ccd0c57', 'end_date': datetime.datetime(2011, 12, 26, 12, 59, 39), 'start_time': datetime.datetime(2014, 5, 21, 3, 22, 17), 'rate': 4, 'updated_at': datetime.datetime(2015, 5, 4, 11, 25, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Argentina', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c22d0c8b-bbda-4498-a4d3-33f6ab883e6d', 'job_description': 'Balanced client-driven workforce', 'start_date': datetime.datetime(2018, 4, 6, 6, 16, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 2, 15, 52, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 1, 18, 4, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ecf7242-57e9-451d-8b47-fd18c9a2f95d', 'end_date': datetime.datetime(2017, 11, 12, 7, 11, 42), 'start_time': datetime.datetime(2017, 3, 11, 5, 4, 43), 'rate': 2, 'updated_at': datetime.datetime(2015, 5, 29, 18, 1, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
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{'_id': 'b201922f-55fe-42d5-b5ed-5fd7ea6a1f16', 'job_description': 'Pre-emptive methodical hierarchy', 'start_date': datetime.datetime(2010, 5, 17, 23, 45, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 15, 6, 8, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 26, 4, 40, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '75a78697-eb33-4e98-bb65-8436babdc7d3', 'end_date': datetime.datetime(2013, 12, 7, 3, 52, 45), 'start_time': datetime.datetime(2017, 12, 8, 7, 0, 34), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 18, 4, 22, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
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{'_id': '8de69753-c1c0-4621-a0ea-dda97433a73f', 'job_description': 'Virtual reciprocal firmware', 'start_date': datetime.datetime(2010, 12, 2, 22, 59, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 28, 14, 14, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 7, 20, 46, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd5373cda-afc8-4d13-bdca-e28a6842bcac', 'end_date': datetime.datetime(2017, 4, 10, 8, 4, 31), 'start_time': datetime.datetime(2012, 11, 6, 10, 45, 1), 'rate': 4, 'updated_at': datetime.datetime(2012, 12, 27, 19, 41, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
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{'_id': 'c29d3181-5141-474b-9949-418c76cb2b6f', 'job_description': 'Future-proofed 6th generation success', 'start_date': datetime.datetime(2010, 5, 14, 18, 45, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 21, 14, 44, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 14, 5, 3, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1b7b8686-896f-46ae-8038-afa60ddba6d4', 'end_date': datetime.datetime(2015, 1, 28, 11, 8, 35), 'start_time': datetime.datetime(2013, 9, 3, 2, 30, 49), 'rate': 2, 'updated_at': datetime.datetime(2016, 9, 15, 15, 44, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0953db2e-92b9-4911-ba11-2d4aa425eef2', 'job_description': 'Horizontal solution-oriented installation', 'start_date': datetime.datetime(2012, 3, 24, 8, 39, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 30, 5, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 10, 23, 33, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ef634bae-648d-43ac-b421-e97f314f6d1d', 'end_date': datetime.datetime(2010, 2, 10, 22, 16, 51), 'start_time': datetime.datetime(2010, 10, 9, 23, 37, 17), 'rate': 5, 'updated_at': datetime.datetime(2013, 1, 19, 22, 56, 56), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8a198217-3fef-4122-98bb-44258dd7453c', 'job_description': 'Fully-configurable cohesive definition', 'start_date': datetime.datetime(2011, 4, 28, 21, 13, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 31, 1, 10, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 2, 6, 13, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '04ac90ed-bf3a-43e8-af5d-57787a3450a5', 'end_date': datetime.datetime(2010, 3, 26, 15, 18, 29), 'start_time': datetime.datetime(2013, 6, 6, 7, 58, 54), 'rate': 5, 'updated_at': datetime.datetime(2010, 3, 2, 20, 8, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a6cdd5a7-9f02-46d5-af4e-ac82fc765213', 'job_description': 'Business-focused real-time local area network', 'start_date': datetime.datetime(2014, 2, 6, 7, 46, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 18, 20, 51, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 15, 0, 20, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '82fe0b02-8d94-40bc-8402-cc1ecbdc7f4f', 'end_date': datetime.datetime(2016, 3, 18, 11, 15, 12), 'start_time': datetime.datetime(2010, 8, 6, 23, 45, 9), 'rate': 5, 'updated_at': datetime.datetime(2012, 1, 20, 21, 41, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'acaa5fdc-add3-4d71-8d3a-b0b6f57160e6', 'job_description': 'Vision-oriented transitional application', 'start_date': datetime.datetime(2012, 6, 10, 19, 30, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 1, 17, 24, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 11, 5, 35, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6b80b777-f806-4622-a346-0c37864bd441', 'end_date': datetime.datetime(2014, 12, 24, 14, 28, 1), 'start_time': datetime.datetime(2010, 5, 5, 18, 4, 35), 'rate': 1, 'updated_at': datetime.datetime(2011, 9, 30, 12, 41, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '14a14a9f-c904-4a8b-bc0f-771ae3aea7ff', 'job_description': 'Fundamental grid-enabled internet solution', 'start_date': datetime.datetime(2012, 7, 25, 3, 22, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 6, 3, 1, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 10, 8, 17, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f844ed4-01a1-4ba1-89b7-2b69eab2b43a', 'end_date': datetime.datetime(2010, 7, 26, 12, 40, 28), 'start_time': datetime.datetime(2014, 11, 28, 20, 55), 'rate': 1, 'updated_at': datetime.datetime(2017, 10, 11, 21, 22, 45), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3502b973-b8da-4cb2-9555-fcdfb22af575', 'job_description': 'Down-sized 3rd generation artificial intelligence', 'start_date': datetime.datetime(2013, 7, 10, 2, 23, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 24, 7, 7, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 20, 1, 51, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fdfb156a-6add-48dd-88e0-2bc7f6b284cf', 'end_date': datetime.datetime(2015, 5, 3, 16, 37, 6), 'start_time': datetime.datetime(2013, 3, 2, 7, 12, 28), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 10, 11, 16, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Cyprus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78442af2-cb5b-40b0-92a3-761f4b33da4e', 'job_description': 'Multi-layered clear-thinking array', 'start_date': datetime.datetime(2011, 1, 21, 0, 29, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 18, 23, 8, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 10, 19, 58, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '31182f24-bd86-449e-b75b-e5ffe00ef307', 'end_date': datetime.datetime(2017, 1, 2, 11, 35, 37), 'start_time': datetime.datetime(2013, 12, 16, 21, 51, 22), 'rate': 4, 'updated_at': datetime.datetime(2019, 4, 28, 20, 47, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd2eb8e05-e86a-404b-afd1-1e95d52bdb0b', 'job_description': 'Virtual tangible alliance', 'start_date': datetime.datetime(2013, 7, 25, 20, 47, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 27, 20, 17, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 18, 20, 2, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8aa36cad-ce3a-4acf-9baa-db197a13e416', 'end_date': datetime.datetime(2016, 6, 15, 9, 43), 'start_time': datetime.datetime(2019, 9, 27, 2, 42, 30), 'rate': 1, 'updated_at': datetime.datetime(2010, 8, 15, 9, 59, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '19a7a6c9-c375-40a4-b4cf-5f37f584fb86', 'job_description': 'Ergonomic zero defect function', 'start_date': datetime.datetime(2016, 7, 5, 2, 11, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 8, 8, 37, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 8, 0, 36, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e8b7c5d-5729-40ec-a92e-da265a4f3a2c', 'end_date': datetime.datetime(2010, 8, 19, 1, 27, 8), 'start_time': datetime.datetime(2012, 2, 7, 2, 5, 17), 'rate': 2, 'updated_at': datetime.datetime(2010, 8, 25, 19, 38, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5c20bdca-5556-46cc-bc93-fd72bd9605bb', 'job_description': 'Digitized multi-tasking functionalities', 'start_date': datetime.datetime(2014, 6, 7, 22, 32, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 5, 20, 35, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 27, 23, 2, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e6e7b54-f00d-4e23-b1dc-adf4c26c0ac6', 'end_date': datetime.datetime(2012, 10, 12, 14, 18, 53), 'start_time': datetime.datetime(2014, 4, 10, 3, 1, 46), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 20, 0, 20, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fb50d5d5-fbb9-4c00-91ab-35edd5b724ba', 'job_description': 'Ameliorated executive capacity', 'start_date': datetime.datetime(2015, 3, 29, 8, 47, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 15, 18, 13, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 27, 1, 15, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e01a813e-2a29-454b-bcbf-b5ff684429c2', 'end_date': datetime.datetime(2019, 11, 18, 5, 31, 17), 'start_time': datetime.datetime(2010, 6, 29, 19, 1, 57), 'rate': 2, 'updated_at': datetime.datetime(2011, 6, 20, 0, 37, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd628bf9f-77fb-4e99-b90b-8c65f3bf0da6', 'job_description': 'Secured interactive monitoring', 'start_date': datetime.datetime(2010, 10, 22, 3, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 31, 0, 56, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 27, 15, 12, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '45751a63-d168-4eb6-8f2d-29a612d389f8', 'end_date': datetime.datetime(2018, 3, 18, 13, 2, 39), 'start_time': datetime.datetime(2017, 11, 18, 4, 51, 59), 'rate': 2, 'updated_at': datetime.datetime(2015, 1, 15, 14, 50, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7a2fd024-ca39-4e42-b82a-82cebb56d903', 'job_description': 'Universal 5th generation policy', 'start_date': datetime.datetime(2014, 12, 29, 12, 34, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 10, 9, 38, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 5, 12, 35, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8673c661-30dc-4fc5-9778-50c0a848bc07', 'end_date': datetime.datetime(2012, 9, 21, 14, 58, 17), 'start_time': datetime.datetime(2015, 10, 21, 16, 40, 28), 'rate': 5, 'updated_at': datetime.datetime(2010, 9, 21, 13, 0, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e66e1e68-b446-4cd5-a839-81a2e826b657', 'job_description': 'Synergized bottom-line monitoring', 'start_date': datetime.datetime(2014, 3, 3, 17, 15, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 14, 15, 55, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 12, 15, 14, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f309b3db-f546-4b93-96ab-6541158d078d', 'end_date': datetime.datetime(2014, 7, 15, 11, 43, 22), 'start_time': datetime.datetime(2016, 6, 14, 5, 15, 2), 'rate': 2, 'updated_at': datetime.datetime(2016, 6, 20, 8, 45, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '604a4160-f763-46b3-a3e3-59eefe6cb325', 'job_description': 'Innovative system-worthy challenge', 'start_date': datetime.datetime(2010, 8, 13, 15, 43, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 26, 22, 1, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 18, 21, 59, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd25a9c5b-dad1-4d9e-ab6e-8126181c17fe', 'end_date': datetime.datetime(2019, 10, 3, 23, 22, 13), 'start_time': datetime.datetime(2016, 7, 15, 10, 38, 45), 'rate': 2, 'updated_at': datetime.datetime(2014, 5, 14, 15, 41, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c247ec52-e805-4235-86db-b38afd964b39', 'job_description': 'Proactive next generation array', 'start_date': datetime.datetime(2011, 10, 28, 21, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 8, 17, 54, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 9, 8, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c43730b3-60b7-4fff-977b-aae11cd36c78', 'end_date': datetime.datetime(2015, 9, 5, 10, 31, 42), 'start_time': datetime.datetime(2015, 4, 4, 16, 35, 56), 'rate': 2, 'updated_at': datetime.datetime(2017, 6, 1, 14, 2, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '876acc9f-e89f-4b00-9fb7-c258df689346', 'job_description': 'Reverse-engineered directional Graphic Interface', 'start_date': datetime.datetime(2016, 8, 9, 0, 17, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 19, 18, 51, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 25, 5, 39, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a3dd341a-d9dc-43e3-9065-cb334cb2472b', 'end_date': datetime.datetime(2011, 1, 6, 14, 22, 57), 'start_time': datetime.datetime(2016, 5, 11, 16, 29, 51), 'rate': 3, 'updated_at': datetime.datetime(2018, 4, 7, 5, 49, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '04fe7aab-c56a-46e1-9e66-add1385de4de', 'job_description': 'Triple-buffered impactful leverage', 'start_date': datetime.datetime(2019, 7, 16, 10, 38, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 29, 6, 30, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 7, 8, 39, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f4f2df58-f00f-4818-9a2c-1811cb0814c9', 'end_date': datetime.datetime(2011, 9, 21, 23, 9, 3), 'start_time': datetime.datetime(2018, 2, 20, 17, 56, 5), 'rate': 3, 'updated_at': datetime.datetime(2016, 9, 19, 2, 44, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9c054cce-60a9-4556-8c8e-d4679ace6f3d', 'job_description': 'Customizable bifurcated approach', 'start_date': datetime.datetime(2019, 7, 23, 11, 3, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 14, 3, 46, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 2, 8, 7, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '64d566af-30c7-4795-9711-4610d4c38255', 'end_date': datetime.datetime(2011, 4, 12, 15, 58, 25), 'start_time': datetime.datetime(2010, 8, 9, 5, 36, 2), 'rate': 5, 'updated_at': datetime.datetime(2018, 4, 10, 5, 22, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '06167ec0-e4e5-4113-9bf2-331cc15edb7c', 'job_description': 'Switchable bi-directional help-desk', 'start_date': datetime.datetime(2016, 12, 9, 10, 16, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 18, 3, 18, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 8, 13, 48, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '27e94566-585a-47de-861e-37cd8c88d00d', 'end_date': datetime.datetime(2012, 2, 7, 13, 43, 20), 'start_time': datetime.datetime(2015, 5, 14, 23, 40, 41), 'rate': 4, 'updated_at': datetime.datetime(2019, 4, 18, 15, 33, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5e597eb8-ea0f-4263-aeb5-a951e0ef5d01', 'job_description': 'Face to face global firmware', 'start_date': datetime.datetime(2014, 4, 18, 23, 16, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 2, 17, 13, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 5, 2, 49, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c4733f9a-51c2-4ce5-b577-aa6b5b0c771d', 'end_date': datetime.datetime(2010, 10, 16, 18, 6, 30), 'start_time': datetime.datetime(2018, 7, 11, 11, 39, 41), 'rate': 3, 'updated_at': datetime.datetime(2010, 9, 18, 12, 36, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8a886ce0-5c1d-4ed9-9b82-347cbca04878', 'job_description': 'Open-architected value-added focus group', 'start_date': datetime.datetime(2015, 3, 26, 15, 54, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 28, 22, 11, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 20, 12, 22, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1efa62cd-15fa-47b6-8790-88f5c3268916', 'end_date': datetime.datetime(2017, 12, 7, 18, 39, 49), 'start_time': datetime.datetime(2019, 10, 24, 7, 28, 37), 'rate': 4, 'updated_at': datetime.datetime(2014, 11, 6, 5, 19, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de89d598-b252-4a3a-9a14-74593f1d5dcb', 'job_description': 'Synergistic global product', 'start_date': datetime.datetime(2010, 4, 22, 6, 50, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 21, 5, 38, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 7, 19, 1, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '38f6eb29-f379-4ed1-ad87-eaf713bdcd04', 'end_date': datetime.datetime(2010, 4, 18, 1, 24, 51), 'start_time': datetime.datetime(2012, 6, 28, 3, 52, 13), 'rate': 5, 'updated_at': datetime.datetime(2013, 5, 12, 19, 5, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c1c5ab7-fdf5-4705-91a0-37dce51ad777', 'job_description': 'Persistent 4th generation challenge', 'start_date': datetime.datetime(2017, 5, 28, 13, 11, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 29, 3, 26, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 13, 10, 25, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '369c4910-223b-4656-9c52-4594f16ec59e', 'end_date': datetime.datetime(2012, 8, 24, 18, 21, 33), 'start_time': datetime.datetime(2015, 6, 9, 3, 58, 17), 'rate': 2, 'updated_at': datetime.datetime(2011, 11, 12, 7, 2, 32), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7cf5ef0f-3981-4fe5-8ec6-3f0e5fd52c54', 'job_description': 'Re-contextualized well-modulated Graphical User Interface', 'start_date': datetime.datetime(2013, 9, 8, 11, 52, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 8, 2, 19, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 15, 0, 49, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3d9cb488-972e-44dc-a3a2-dd155dad664f', 'end_date': datetime.datetime(2012, 3, 18, 5, 52, 49), 'start_time': datetime.datetime(2018, 9, 18, 16, 10, 36), 'rate': 2, 'updated_at': datetime.datetime(2011, 10, 16, 2, 46, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '836f9afd-37cd-4565-8c2c-6bbdcad8685c', 'job_description': 'Multi-channelled responsive open architecture', 'start_date': datetime.datetime(2010, 9, 7, 11, 58, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 22, 5, 14, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 7, 22, 17, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '406e817d-47d7-49a9-b7ca-3eb499108fd0', 'end_date': datetime.datetime(2018, 8, 13, 18, 12, 6), 'start_time': datetime.datetime(2019, 1, 13, 11, 16, 5), 'rate': 5, 'updated_at': datetime.datetime(2010, 11, 26, 6, 53, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35075955-2788-4792-bdfe-d053ce7bf174', 'job_description': 'Upgradable solution-oriented ability', 'start_date': datetime.datetime(2013, 5, 16, 22, 47, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 10, 11, 9, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 6, 4, 9, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'baba5c9b-3fbf-4ef7-866f-16b9a16a8d1c', 'end_date': datetime.datetime(2014, 12, 21, 2, 4, 38), 'start_time': datetime.datetime(2011, 6, 10, 22, 40, 7), 'rate': 3, 'updated_at': datetime.datetime(2017, 7, 21, 13, 31, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Grenada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3a20c7c0-195e-4961-a879-30bd379e958e', 'job_description': 'Seamless encompassing matrices', 'start_date': datetime.datetime(2011, 11, 26, 2, 39, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 6, 16, 14, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 21, 6, 30, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '235949fa-04d0-4a37-be02-490cd73d26df', 'end_date': datetime.datetime(2018, 12, 7, 1, 4, 6), 'start_time': datetime.datetime(2010, 10, 18, 5, 31, 57), 'rate': 1, 'updated_at': datetime.datetime(2016, 9, 21, 11, 44, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dcc90a2f-f92a-4341-8b32-77727cb61361', 'job_description': 'Focused context-sensitive attitude', 'start_date': datetime.datetime(2011, 3, 16, 23, 55, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 29, 17, 22, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 20, 2, 57, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a9ddb138-3d8b-4380-ae60-5dc3291d551f', 'end_date': datetime.datetime(2015, 4, 10, 7, 42, 39), 'start_time': datetime.datetime(2012, 2, 7, 6, 38, 28), 'rate': 1, 'updated_at': datetime.datetime(2018, 12, 11, 13, 46, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5caa3bbe-dc1f-4e22-ae82-d221d6b81df8', 'job_description': 'Universal regional firmware', 'start_date': datetime.datetime(2010, 10, 16, 18, 44, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 7, 17, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 23, 7, 27, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0cc89876-97b9-49b7-bd12-cf9460237d6d', 'end_date': datetime.datetime(2018, 8, 23, 11, 26, 12), 'start_time': datetime.datetime(2019, 2, 3, 13, 0, 37), 'rate': 2, 'updated_at': datetime.datetime(2018, 10, 29, 0, 10, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Bangladesh', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c5f894ad-c1e4-46d1-be6c-369308c96384', 'job_description': 'Expanded optimizing help-desk', 'start_date': datetime.datetime(2017, 1, 2, 19, 43, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 26, 9, 48, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 9, 16, 25, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2f3db38d-99b9-4451-a2c3-84341dc6c057', 'end_date': datetime.datetime(2015, 3, 26, 1, 20, 44), 'start_time': datetime.datetime(2014, 5, 11, 19, 59, 17), 'rate': 2, 'updated_at': datetime.datetime(2017, 7, 10, 9, 0, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '968d972b-3ff7-4bbe-956e-dc9d891a0abd', 'job_description': 'Down-sized assymetric matrices', 'start_date': datetime.datetime(2013, 3, 4, 23, 47, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 13, 22, 7, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 1, 4, 58, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1b589c44-02ae-4a67-98c2-ef7a7ba1d41f', 'end_date': datetime.datetime(2018, 11, 8, 17, 31, 18), 'start_time': datetime.datetime(2011, 3, 14, 9, 57, 17), 'rate': 3, 'updated_at': datetime.datetime(2014, 3, 6, 4, 21, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b92e3e84-772f-449d-a64a-0e4c724c2242', 'job_description': 'Cross-group intermediate application', 'start_date': datetime.datetime(2014, 6, 18, 14, 17, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 10, 1, 48, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 25, 4, 10, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e192a0a9-c43a-443f-b5b5-79cfd4dd916a', 'end_date': datetime.datetime(2013, 10, 16, 19, 40, 19), 'start_time': datetime.datetime(2012, 2, 11, 22, 54, 3), 'rate': 2, 'updated_at': datetime.datetime(2019, 9, 26, 16, 44, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9838b7bd-52b3-4c81-9eae-e3d4a3d78f6e', 'job_description': 'Optimized optimizing software', 'start_date': datetime.datetime(2014, 2, 22, 1, 58, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 29, 18, 29, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 22, 4, 20, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8f04f3fd-30e3-426b-a7b4-93e052a9e56c', 'end_date': datetime.datetime(2017, 2, 18, 9, 9, 2), 'start_time': datetime.datetime(2015, 3, 16, 22, 24, 33), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 6, 14, 12, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8fd37b89-10c6-40b3-9517-f5e838680fe9', 'job_description': 'Synergistic needs-based solution', 'start_date': datetime.datetime(2019, 1, 9, 13, 38, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 20, 20, 51, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 22, 17, 16, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e66f8f0e-c7d7-4c68-8315-acceb0fd339a', 'end_date': datetime.datetime(2011, 9, 9, 23, 47, 2), 'start_time': datetime.datetime(2015, 7, 2, 4, 29, 19), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 21, 13, 54, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eab4a3b2-e02a-46b0-a44a-e981cf404f4c', 'job_description': 'Front-line dedicated orchestration', 'start_date': datetime.datetime(2011, 10, 17, 3, 15, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 2, 8, 49, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 23, 7, 15, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ab1d1598-582f-41be-b100-85cb87701209', 'end_date': datetime.datetime(2010, 8, 15, 0, 44, 5), 'start_time': datetime.datetime(2018, 1, 13, 9, 26, 32), 'rate': 1, 'updated_at': datetime.datetime(2017, 10, 18, 20, 25, 56), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '265afc53-98bd-4116-b9a4-756899a8c8dd', 'job_description': 'Multi-lateral 5th generation Graphical User Interface', 'start_date': datetime.datetime(2016, 10, 17, 5, 20, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 6, 22, 20, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 6, 17, 17, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5606fe1-05ff-4ff6-a96b-2bdf33754294', 'end_date': datetime.datetime(2012, 3, 21, 1, 58, 2), 'start_time': datetime.datetime(2017, 9, 21, 22, 51, 10), 'rate': 3, 'updated_at': datetime.datetime(2016, 10, 12, 7, 41, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '702b14b5-1efc-4de2-8594-e30fd45bcafd', 'job_description': 'Team-oriented impactful methodology', 'start_date': datetime.datetime(2012, 5, 19, 4, 50, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 16, 11, 11, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 7, 6, 34, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fd8c94a9-6107-4619-86c6-7adc79226e8a', 'end_date': datetime.datetime(2011, 9, 18, 17, 57, 37), 'start_time': datetime.datetime(2017, 2, 23, 4, 31, 34), 'rate': 1, 'updated_at': datetime.datetime(2013, 7, 24, 6, 40, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Anguilla', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c3362e98-8ce6-4d87-847c-14061176f3a7', 'job_description': 'Mandatory bottom-line superstructure', 'start_date': datetime.datetime(2010, 2, 15, 16, 5, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 2, 1, 25, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 7, 21, 38, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '09af1c6d-83cf-4956-8641-3db1e3780f81', 'end_date': datetime.datetime(2011, 9, 26, 8, 26, 39), 'start_time': datetime.datetime(2016, 1, 15, 6, 26, 56), 'rate': 4, 'updated_at': datetime.datetime(2017, 8, 8, 19, 26, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '445b1379-a452-4a80-bee8-2add670962fa', 'job_description': 'Function-based dedicated projection', 'start_date': datetime.datetime(2017, 2, 24, 10, 19, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 17, 10, 49, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 8, 5, 49, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f6bc3cff-4bd0-4b0b-9eb8-dbb3d1fca4bf', 'end_date': datetime.datetime(2016, 9, 7, 11, 54, 52), 'start_time': datetime.datetime(2013, 4, 1, 21, 45, 18), 'rate': 5, 'updated_at': datetime.datetime(2011, 12, 15, 6, 31, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Kenya', 'special_note': 'thanks'}
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{'_id': '6b7fd9e0-67a1-40f2-80ec-a543401191ed', 'job_description': 'Up-sized object-oriented benchmark', 'start_date': datetime.datetime(2013, 8, 30, 18, 22, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 1, 0, 29, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 31, 10, 17, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ca99fba0-2c3c-404e-9a89-4c645cbb871e', 'end_date': datetime.datetime(2017, 2, 2, 11, 22, 4), 'start_time': datetime.datetime(2016, 11, 16, 7, 23, 37), 'rate': 1, 'updated_at': datetime.datetime(2019, 1, 2, 15, 57, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
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{'_id': '6b1d5ea9-45bb-40ac-8905-06adb45301bf', 'job_description': 'Persevering clear-thinking database', 'start_date': datetime.datetime(2010, 1, 27, 7, 7, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 30, 11, 32, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 1, 4, 23, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '31eee0ab-84b3-477c-8465-874be5b31965', 'end_date': datetime.datetime(2016, 10, 29, 16, 14, 18), 'start_time': datetime.datetime(2019, 2, 14, 21, 3, 9), 'rate': 5, 'updated_at': datetime.datetime(2015, 1, 10, 15, 15, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': '0b91c9d3-ba71-44eb-b76f-0079a4a45ba9', 'job_description': 'Total directional infrastructure', 'start_date': datetime.datetime(2014, 7, 16, 6, 6, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 18, 18, 52, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 1, 12, 27, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ed63aa8-4520-4ff5-8693-c0a9b24a8a52', 'end_date': datetime.datetime(2017, 2, 3, 6, 35, 3), 'start_time': datetime.datetime(2012, 4, 28, 15, 50, 23), 'rate': 3, 'updated_at': datetime.datetime(2011, 10, 26, 1, 55, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
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{'_id': '1193afbb-61bb-4974-b788-9c85a2f724d3', 'job_description': 'Proactive fault-tolerant core', 'start_date': datetime.datetime(2011, 12, 9, 16, 6, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 12, 17, 32, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 20, 19, 13, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ce04d787-d343-4cc8-8fc8-94be78e19e88', 'end_date': datetime.datetime(2014, 8, 10, 9, 18, 11), 'start_time': datetime.datetime(2017, 11, 18, 20, 50, 27), 'rate': 2, 'updated_at': datetime.datetime(2019, 10, 29, 12, 56, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': 'f15756ed-aa04-429e-a0ce-3b6769d667dd', 'job_description': 'Cross-group transitional standardization', 'start_date': datetime.datetime(2018, 10, 27, 0, 44, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 7, 6, 22, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 14, 2, 6, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cb90b611-17e6-4801-a5dd-aa180dca3846', 'end_date': datetime.datetime(2016, 12, 10, 15, 23, 56), 'start_time': datetime.datetime(2014, 9, 28, 15, 21, 48), 'rate': 1, 'updated_at': datetime.datetime(2012, 8, 18, 2, 54, 46), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
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{'_id': '8886ff97-d45c-4157-93c7-6f8bb813cf94', 'job_description': 'Balanced holistic system engine', 'start_date': datetime.datetime(2016, 4, 27, 18, 0, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 5, 18, 35, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 31, 11, 45, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '754c9139-017e-45eb-9918-4f0d4163cbda', 'end_date': datetime.datetime(2016, 6, 30, 9, 4, 29), 'start_time': datetime.datetime(2010, 9, 19, 14, 8, 2), 'rate': 5, 'updated_at': datetime.datetime(2017, 3, 13, 22, 40, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Iraq', 'special_note': 'thanks'}
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{'_id': 'b3dd19c5-8cb1-4eed-82aa-614089eaf660', 'job_description': 'Progressive local process improvement', 'start_date': datetime.datetime(2019, 9, 25, 22, 46, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 22, 8, 51, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 12, 17, 41, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '84ca417d-6913-45d9-bd9a-166f203a3a0c', 'end_date': datetime.datetime(2016, 9, 3, 1, 23, 38), 'start_time': datetime.datetime(2016, 5, 9, 19, 6, 27), 'rate': 4, 'updated_at': datetime.datetime(2011, 7, 20, 7, 15, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
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{'_id': '6a296e32-cda7-4481-90dc-99f80bdc0bcb', 'job_description': 'Multi-lateral client-server project', 'start_date': datetime.datetime(2015, 6, 30, 23, 38, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 31, 9, 51, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 26, 4, 51, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ff58119-cab7-4c17-8350-709f75298e12', 'end_date': datetime.datetime(2011, 1, 21, 20, 33, 41), 'start_time': datetime.datetime(2010, 4, 22, 16, 39, 37), 'rate': 3, 'updated_at': datetime.datetime(2019, 2, 25, 13, 40, 46), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
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{'_id': '9ca0a74b-e076-474b-b36a-e418b4ad3f2b', 'job_description': 'Optimized systematic process improvement', 'start_date': datetime.datetime(2012, 5, 23, 6, 42, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 30, 20, 52, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 19, 3, 54, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '43455d6c-adce-41ed-99c9-d8a083acfca2', 'end_date': datetime.datetime(2017, 6, 3, 19, 45, 41), 'start_time': datetime.datetime(2017, 8, 28, 14, 54, 14), 'rate': 2, 'updated_at': datetime.datetime(2018, 5, 2, 20, 23, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Finland', 'special_note': 'thanks'}
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{'_id': '492e122a-537b-4ba0-b349-c8b74b22095c', 'job_description': 'Organic local monitoring', 'start_date': datetime.datetime(2010, 10, 27, 4, 10, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 26, 20, 23, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 17, 8, 34, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '395567de-caa1-47dd-a6ff-afec43bdea12', 'end_date': datetime.datetime(2013, 2, 27, 13, 44, 56), 'start_time': datetime.datetime(2011, 10, 24, 16, 57, 18), 'rate': 1, 'updated_at': datetime.datetime(2016, 10, 14, 23, 23, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
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{'_id': 'bda0aff7-40bb-49f3-9bdf-4ca7bcaaaf5e', 'job_description': 'Implemented reciprocal methodology', 'start_date': datetime.datetime(2019, 6, 4, 12, 27, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 4, 7, 6, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 26, 4, 47, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '12a6cf32-bce2-425f-89b9-07ad029c842f', 'end_date': datetime.datetime(2011, 7, 8, 17, 7, 4), 'start_time': datetime.datetime(2014, 9, 9, 2, 19, 25), 'rate': 4, 'updated_at': datetime.datetime(2010, 8, 15, 21, 16, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
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{'_id': '01b04a63-657a-4349-94b8-c7d283bfa911', 'job_description': 'Managed explicit website', 'start_date': datetime.datetime(2011, 4, 7, 4, 24, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 27, 7, 59, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 6, 19, 55, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bfa39b0c-73eb-453a-8158-f03057bdaa4d', 'end_date': datetime.datetime(2011, 10, 9, 15, 59, 58), 'start_time': datetime.datetime(2014, 2, 9, 17, 42, 33), 'rate': 1, 'updated_at': datetime.datetime(2010, 7, 9, 11, 0, 25), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
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{'_id': 'a29b1618-c2ba-4b79-8c28-35d3b6440f24', 'job_description': 'Virtual systemic utilisation', 'start_date': datetime.datetime(2018, 4, 3, 10, 58, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 2, 3, 45, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 2, 23, 38, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '56f77f6f-52a4-404a-8a9c-0719af9b3741', 'end_date': datetime.datetime(2013, 4, 10, 20, 20, 36), 'start_time': datetime.datetime(2019, 10, 28, 2, 44), 'rate': 3, 'updated_at': datetime.datetime(2012, 7, 23, 23, 10, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
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{'_id': 'c73760d5-bdf5-4ad9-a05f-5dfaa14af8ec', 'job_description': 'Switchable mission-critical architecture', 'start_date': datetime.datetime(2012, 10, 14, 3, 1, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 25, 17, 26, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 12, 20, 29, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '428c1096-f048-4141-b02a-ad43ba2ef03b', 'end_date': datetime.datetime(2013, 2, 28, 15, 44, 44), 'start_time': datetime.datetime(2014, 4, 29, 19, 21, 30), 'rate': 1, 'updated_at': datetime.datetime(2017, 12, 20, 12, 23, 39), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
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{'_id': '07aa5fc6-f577-4611-a311-5e1dfdfdb8c4', 'job_description': 'Automated eco-centric secured line', 'start_date': datetime.datetime(2015, 3, 4, 21, 26, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 22, 4, 2, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 24, 15, 17, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1c8ff34e-d35e-481c-8546-1a0b8a1bf7ba', 'end_date': datetime.datetime(2018, 4, 19, 14, 40, 31), 'start_time': datetime.datetime(2010, 5, 20, 2, 0, 58), 'rate': 4, 'updated_at': datetime.datetime(2013, 4, 23, 22, 31, 15), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
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{'_id': '0d1b0ef0-962c-4a7f-b676-1d60e3c67ed0', 'job_description': 'Open-source intermediate service-desk', 'start_date': datetime.datetime(2015, 11, 26, 6, 57, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 29, 11, 7, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 17, 23, 23, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bd213a27-b1d6-4a12-b747-d2882e4ac5ef', 'end_date': datetime.datetime(2019, 6, 30, 16, 0, 59), 'start_time': datetime.datetime(2014, 5, 21, 12, 43, 17), 'rate': 5, 'updated_at': datetime.datetime(2016, 9, 22, 12, 48, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
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{'_id': 'c251f564-2bad-4531-88a8-f392d39ab817', 'job_description': 'Polarised 4th generation functionalities', 'start_date': datetime.datetime(2012, 5, 5, 17, 3, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 13, 12, 56, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 5, 16, 38, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cc87b23c-a286-489f-9ab6-d396032da8e4', 'end_date': datetime.datetime(2019, 3, 17, 3, 9, 26), 'start_time': datetime.datetime(2012, 5, 20, 18, 10, 27), 'rate': 1, 'updated_at': datetime.datetime(2019, 9, 9, 15, 27, 22), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
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{'_id': 'fd1fc971-2d70-4755-9a5b-c4300a548c82', 'job_description': 'Grass-roots local time-frame', 'start_date': datetime.datetime(2016, 7, 21, 23, 55, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 24, 12, 54, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 24, 12, 35, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2b747e07-9247-4a9a-a764-f3980e4ecceb', 'end_date': datetime.datetime(2011, 2, 4, 23, 39, 8), 'start_time': datetime.datetime(2015, 1, 17, 7, 7, 34), 'rate': 1, 'updated_at': datetime.datetime(2012, 9, 27, 23, 4, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
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{'_id': '752fcc95-4fea-48ff-91d4-d5ce874e0a23', 'job_description': 'Distributed contextually-based architecture', 'start_date': datetime.datetime(2018, 1, 5, 6, 43, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 13, 6, 32, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 9, 10, 44, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '32c0cf27-b559-4161-bdbf-be81adbdb98a', 'end_date': datetime.datetime(2018, 9, 16, 16, 35, 48), 'start_time': datetime.datetime(2015, 9, 2, 20, 16, 40), 'rate': 1, 'updated_at': datetime.datetime(2012, 6, 2, 18, 17, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
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{'_id': '281cc430-65a5-4df2-9f33-d588b18f42ad', 'job_description': 'Down-sized directional database', 'start_date': datetime.datetime(2014, 7, 2, 16, 30, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 18, 2, 40, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 9, 13, 8, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3f82c9f7-a130-4577-8fda-cc750f284da7', 'end_date': datetime.datetime(2017, 1, 19, 20, 52, 33), 'start_time': datetime.datetime(2012, 4, 23, 14, 59, 16), 'rate': 1, 'updated_at': datetime.datetime(2017, 4, 9, 19, 40, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Costa Rica', 'special_note': 'thanks'}
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{'_id': '48b8f41b-a154-4d80-9567-149bd536bde1', 'job_description': 'Synergistic optimizing intranet', 'start_date': datetime.datetime(2012, 6, 27, 2, 23, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 12, 14, 34, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 16, 7, 11, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0dd07630-71f8-47b3-96f9-e531c4ccc494', 'end_date': datetime.datetime(2013, 9, 12, 20, 1, 7), 'start_time': datetime.datetime(2014, 9, 23, 10, 41, 25), 'rate': 3, 'updated_at': datetime.datetime(2011, 10, 18, 16, 28, 33), 'job_title': 'CoffeeMaker', 'service_id': 'United States Virgin Islands', 'special_note': 'thanks'}
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{'_id': 'd46dc4ce-a884-4e35-acd4-eeae1f6654d6', 'job_description': 'Seamless bandwidth-monitored function', 'start_date': datetime.datetime(2018, 3, 27, 8, 24, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 2, 4, 17, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 19, 2, 7, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '52570c90-e2c0-46a2-a9df-c8efba0b886d', 'end_date': datetime.datetime(2012, 11, 9, 4, 50, 28), 'start_time': datetime.datetime(2018, 5, 25, 16, 10, 53), 'rate': 1, 'updated_at': datetime.datetime(2014, 5, 21, 1, 35, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
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{'_id': '7aaa2ae3-08e6-4281-bfc5-12ea7c13cecd', 'job_description': 'Integrated 5th generation local area network', 'start_date': datetime.datetime(2017, 5, 14, 11, 15, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 21, 6, 37, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 2, 8, 54, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '519260d4-16fc-4f1a-98d6-6ff12650208e', 'end_date': datetime.datetime(2016, 4, 25, 12, 58, 18), 'start_time': datetime.datetime(2013, 2, 27, 13, 56, 31), 'rate': 3, 'updated_at': datetime.datetime(2017, 7, 30, 9, 53, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
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{'_id': '0de77f1e-1829-4872-82c2-c5180ff5ea80', 'job_description': 'Re-contextualized needs-based forecast', 'start_date': datetime.datetime(2016, 5, 4, 17, 12, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 7, 6, 1, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 17, 4, 44, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a9ca9dcd-f77d-407b-8a87-9436b722e72e', 'end_date': datetime.datetime(2018, 6, 12, 10, 17, 57), 'start_time': datetime.datetime(2012, 4, 30, 17, 25, 40), 'rate': 5, 'updated_at': datetime.datetime(2016, 2, 21, 17, 30, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': '8006fbd3-4100-4f5d-ad6c-d7d5629b3775', 'job_description': 'Monitored heuristic strategy', 'start_date': datetime.datetime(2011, 4, 23, 6, 20, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 23, 11, 7, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 28, 22, 32, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9afe10e2-7bc4-48d7-a173-70aa5e6767f7', 'end_date': datetime.datetime(2010, 2, 6, 23, 56, 44), 'start_time': datetime.datetime(2011, 2, 14, 6, 30, 16), 'rate': 5, 'updated_at': datetime.datetime(2013, 1, 13, 22, 42, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
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{'_id': 'f2913b54-1e6f-434a-ae83-402e5fc2fd25', 'job_description': 'Team-oriented tangible matrices', 'start_date': datetime.datetime(2016, 3, 5, 12, 54, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 5, 12, 27, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 13, 12, 56, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7b830e8e-9d40-4846-80c7-68f03e32ca8e', 'end_date': datetime.datetime(2016, 11, 2, 8, 49, 46), 'start_time': datetime.datetime(2012, 4, 12, 22, 43, 25), 'rate': 2, 'updated_at': datetime.datetime(2012, 9, 5, 21, 26, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Equatorial Guinea', 'special_note': 'thanks'}
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{'_id': 'e15aef58-b7d6-4cd9-a6a0-ee97c8dce43b', 'job_description': 'Reverse-engineered logistical knowledge base', 'start_date': datetime.datetime(2015, 11, 16, 21, 7, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 13, 5, 11, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 28, 11, 23, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2dfbb14f-c083-4cdc-a6f6-ecca7c85af30', 'end_date': datetime.datetime(2010, 7, 3, 1, 37, 44), 'start_time': datetime.datetime(2016, 5, 15, 10, 55, 11), 'rate': 5, 'updated_at': datetime.datetime(2017, 5, 18, 15, 54, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
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{'_id': '3b581b88-e4e0-44d9-af77-b38aa48b4d09', 'job_description': 'Stand-alone attitude-oriented flexibility', 'start_date': datetime.datetime(2010, 7, 23, 3, 19, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 14, 2, 43, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 22, 16, 14, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8321951a-a38b-4059-a2c8-c10229c0e21e', 'end_date': datetime.datetime(2016, 1, 26, 18, 2, 8), 'start_time': datetime.datetime(2017, 7, 8, 7, 43, 48), 'rate': 1, 'updated_at': datetime.datetime(2014, 12, 30, 13, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '09bc5b3a-cbc2-49b9-baf6-2292301a9520', 'job_description': 'Quality-focused non-volatile analyzer', 'start_date': datetime.datetime(2019, 8, 10, 21, 33, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 26, 6, 20, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 29, 2, 27, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '291209bc-0286-465b-b9f5-2c8af3b2b620', 'end_date': datetime.datetime(2012, 12, 9, 16, 45, 12), 'start_time': datetime.datetime(2013, 5, 5, 17, 24, 48), 'rate': 3, 'updated_at': datetime.datetime(2019, 6, 2, 17, 45, 12), 'job_title': 'CoffeeMaker', 'service_id': 'French Polynesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3217bba5-d713-4b0e-890f-5650f911c72a', 'job_description': 'Digitized motivating middleware', 'start_date': datetime.datetime(2013, 7, 28, 13, 12, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 20, 1, 46, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 31, 9, 54, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2854abea-9ddd-4c0f-9181-26064a3579b7', 'end_date': datetime.datetime(2011, 4, 6, 21, 31, 33), 'start_time': datetime.datetime(2014, 11, 2, 23, 40, 35), 'rate': 2, 'updated_at': datetime.datetime(2018, 4, 1, 6, 15, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '98382e48-f050-414b-ac13-b6909e22d6b9', 'job_description': 'Synchronised 24 hour challenge', 'start_date': datetime.datetime(2010, 6, 29, 10, 39, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 15, 15, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 28, 5, 56, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ce479cd9-a0ef-49cb-bfe7-7c9ebe39c90a', 'end_date': datetime.datetime(2011, 11, 16, 20, 9, 27), 'start_time': datetime.datetime(2011, 11, 10, 5, 5), 'rate': 1, 'updated_at': datetime.datetime(2012, 10, 13, 14, 0, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3507b96e-d7fd-42c0-af54-60fda5dc6851', 'job_description': 'Programmable zero defect productivity', 'start_date': datetime.datetime(2017, 6, 13, 4, 4, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 26, 14, 17, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 2, 23, 30, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9f224ba0-c4c4-46ef-9838-56431b1dd6ed', 'end_date': datetime.datetime(2013, 3, 4, 7, 40, 23), 'start_time': datetime.datetime(2012, 10, 7, 19, 15, 55), 'rate': 5, 'updated_at': datetime.datetime(2013, 3, 13, 7, 39, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '163e2ec4-6c9b-4184-8752-dd2a8e41001a', 'job_description': 'Networked mobile data-warehouse', 'start_date': datetime.datetime(2013, 2, 3, 0, 48, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 28, 22, 7, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 17, 11, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '359eaa6e-359d-4dc6-b1e2-b72790fbef72', 'end_date': datetime.datetime(2015, 9, 2, 15, 20, 51), 'start_time': datetime.datetime(2016, 9, 2, 15, 41, 4), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 5, 21, 44, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Macedonia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7bcac281-deda-499c-ac35-aa7eab7a8d59', 'job_description': 'De-engineered encompassing parallelism', 'start_date': datetime.datetime(2017, 3, 6, 12, 13, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 11, 19, 38, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 12, 21, 5, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '99bb07df-0812-4ec7-8cd2-2b5ab4b9eb7d', 'end_date': datetime.datetime(2014, 2, 16, 11, 3, 57), 'start_time': datetime.datetime(2011, 3, 19, 1, 51, 33), 'rate': 5, 'updated_at': datetime.datetime(2011, 12, 6, 23, 6, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b7e23ace-8c68-4aa5-a55b-c3bcf55a0047', 'job_description': 'Integrated upward-trending protocol', 'start_date': datetime.datetime(2013, 3, 16, 12, 38, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 20, 10, 4, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 31, 9, 46, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc372243-3ee8-46f3-8c0f-177369b78761', 'end_date': datetime.datetime(2015, 3, 18, 4, 7, 34), 'start_time': datetime.datetime(2010, 10, 9, 10, 55, 25), 'rate': 3, 'updated_at': datetime.datetime(2012, 12, 16, 4, 20, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1a059f94-ac58-4fcc-8b13-78af5964ebdc', 'job_description': 'Implemented foreground interface', 'start_date': datetime.datetime(2011, 3, 16, 6, 26, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 28, 7, 29, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 13, 8, 3, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '10bd57af-5170-410f-8894-ce458d2a3b38', 'end_date': datetime.datetime(2019, 9, 26, 3, 53, 41), 'start_time': datetime.datetime(2011, 8, 3, 5, 8, 15), 'rate': 4, 'updated_at': datetime.datetime(2017, 11, 15, 7, 11, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a3c838e3-dd26-4789-af08-f316ea2b0e35', 'job_description': 'Expanded directional circuit', 'start_date': datetime.datetime(2012, 7, 2, 1, 27, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 17, 9, 44, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 22, 8, 40, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '845ee562-188a-43b8-99bd-5d519f5cb16a', 'end_date': datetime.datetime(2010, 12, 16, 5, 22, 7), 'start_time': datetime.datetime(2014, 8, 15, 7, 14, 35), 'rate': 2, 'updated_at': datetime.datetime(2011, 6, 6, 6, 17, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '91504afa-2da1-4bee-96e5-2038dd8514c7', 'job_description': 'Horizontal optimizing architecture', 'start_date': datetime.datetime(2018, 9, 11, 12, 49, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 6, 7, 46, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 28, 17, 13, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '546a4dc6-a701-41a3-bb43-aab06f86be65', 'end_date': datetime.datetime(2017, 5, 14, 7, 31, 26), 'start_time': datetime.datetime(2017, 6, 20, 2, 40, 1), 'rate': 2, 'updated_at': datetime.datetime(2017, 5, 19, 21, 1, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4056770b-1223-4a7f-9b5f-532f79714615', 'job_description': 'Implemented regional capability', 'start_date': datetime.datetime(2015, 12, 2, 6, 23, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 28, 8, 17, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 22, 6, 44, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e588c71e-7835-4c1f-b565-fb0e8b09fd89', 'end_date': datetime.datetime(2015, 1, 9, 23, 41, 39), 'start_time': datetime.datetime(2016, 3, 21, 20, 24, 53), 'rate': 2, 'updated_at': datetime.datetime(2018, 8, 19, 8, 15, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c8d457a6-5d84-4c41-b9f2-f1653b056ee1', 'job_description': 'Switchable 6th generation synergy', 'start_date': datetime.datetime(2013, 9, 8, 7, 45, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 23, 0, 18, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 5, 10, 26, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bd7671be-ff1b-4c67-ac8a-74ecc2fbc7ce', 'end_date': datetime.datetime(2015, 9, 10, 17, 39, 50), 'start_time': datetime.datetime(2015, 5, 21, 20, 1, 6), 'rate': 5, 'updated_at': datetime.datetime(2015, 1, 17, 22, 48, 28), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '42bce0fe-d2b6-4bb3-9437-1228e93a5098', 'job_description': 'Face to face homogeneous project', 'start_date': datetime.datetime(2013, 1, 5, 16, 35, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 17, 1, 55, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 29, 6, 1, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8efb32bb-3424-45c5-a338-b4d490c7ad14', 'end_date': datetime.datetime(2014, 10, 7, 8, 33, 55), 'start_time': datetime.datetime(2018, 9, 16, 12, 39, 32), 'rate': 4, 'updated_at': datetime.datetime(2013, 3, 8, 7, 13, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2655f95a-9e56-444a-8b8d-bfba7f311eec', 'job_description': 'Implemented intermediate array', 'start_date': datetime.datetime(2014, 3, 17, 5, 9, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 17, 8, 50, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 24, 8, 10, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1a9421de-d097-4eb7-8ac3-918157eda403', 'end_date': datetime.datetime(2014, 11, 7, 7, 11, 54), 'start_time': datetime.datetime(2012, 10, 5, 6, 53, 38), 'rate': 4, 'updated_at': datetime.datetime(2015, 9, 21, 20, 32, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'acc7ec51-d88d-4e9a-972b-eb5ba42744b8', 'job_description': 'Synergistic tangible leverage', 'start_date': datetime.datetime(2013, 7, 7, 9, 39, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 19, 8, 56, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 25, 5, 4, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0ab9b0f6-171a-4b21-813b-ee28174dbd69', 'end_date': datetime.datetime(2014, 1, 2, 3, 0, 35), 'start_time': datetime.datetime(2010, 4, 28, 7, 19, 22), 'rate': 1, 'updated_at': datetime.datetime(2016, 3, 28, 18, 26, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Sri Lanka', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ef77c68a-fb7c-4c8e-bc67-a81200102b25', 'job_description': 'Customer-focused global pricing structure', 'start_date': datetime.datetime(2011, 9, 23, 10, 27, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 18, 14, 35, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 5, 2, 50, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aabd77dd-a5ba-4ee8-bf37-da289afdd202', 'end_date': datetime.datetime(2017, 6, 24, 8, 39, 22), 'start_time': datetime.datetime(2014, 7, 2, 19, 9, 39), 'rate': 3, 'updated_at': datetime.datetime(2013, 12, 24, 10, 26, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7aa9550d-7de7-444c-aa74-f1fdb4b15c2a', 'job_description': 'Realigned bifurcated collaboration', 'start_date': datetime.datetime(2013, 5, 12, 7, 40, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 22, 0, 14, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 26, 14, 58, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e0946bd6-8d74-46dc-976c-8d9b0c4db27c', 'end_date': datetime.datetime(2013, 9, 9, 19, 29, 13), 'start_time': datetime.datetime(2016, 12, 8, 14, 42, 47), 'rate': 2, 'updated_at': datetime.datetime(2017, 5, 10, 12, 9, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e932a3ce-3fe3-46f1-8ac5-aa4bda8b70dd', 'job_description': 'Up-sized dynamic parallelism', 'start_date': datetime.datetime(2018, 1, 25, 20, 0), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 2, 20, 45, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 27, 4, 39, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8842c82d-7ba6-480f-8e0e-0f2b19ab579d', 'end_date': datetime.datetime(2011, 1, 3, 20, 10, 30), 'start_time': datetime.datetime(2017, 8, 13, 16, 50, 6), 'rate': 3, 'updated_at': datetime.datetime(2013, 3, 21, 20, 28, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9e2ea5a5-b88a-41f9-8b4d-54561920844b', 'job_description': 'Synergized even-keeled encoding', 'start_date': datetime.datetime(2018, 3, 10, 16, 44, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 19, 21, 9, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 14, 11, 30, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b8a5ab97-2355-44fc-a719-d0d3028c7661', 'end_date': datetime.datetime(2011, 2, 15, 12, 59, 21), 'start_time': datetime.datetime(2017, 7, 22, 10, 23, 57), 'rate': 5, 'updated_at': datetime.datetime(2018, 6, 14, 10, 3, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '680a03af-6dcc-498a-86b4-9515686061ed', 'job_description': 'Multi-lateral static monitoring', 'start_date': datetime.datetime(2010, 4, 8, 16, 54, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 29, 2, 25, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 20, 8, 43, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0a070657-b478-4e02-91d1-3f3fb781c4df', 'end_date': datetime.datetime(2013, 7, 3, 7, 36, 11), 'start_time': datetime.datetime(2010, 5, 5, 0, 19, 7), 'rate': 4, 'updated_at': datetime.datetime(2013, 2, 26, 8, 7, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2a417bd2-81f7-4fe1-a45c-d06e6ada38eb', 'job_description': 'Stand-alone system-worthy algorithm', 'start_date': datetime.datetime(2011, 9, 15, 21, 6, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 22, 8, 14, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 9, 17, 34, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a634c562-2e52-485e-a916-edf5d7e740b2', 'end_date': datetime.datetime(2013, 8, 18, 0, 35, 41), 'start_time': datetime.datetime(2017, 2, 19, 4, 51, 38), 'rate': 1, 'updated_at': datetime.datetime(2016, 10, 24, 1, 59, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3044a3f6-4ff0-4821-b10c-8e332a4b8f9d', 'job_description': 'Programmable multi-tasking open architecture', 'start_date': datetime.datetime(2018, 8, 4, 14, 31, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 11, 1, 59, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 29, 8, 16, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '32ca05fb-7103-4097-a144-93cdf91a4bc6', 'end_date': datetime.datetime(2018, 11, 28, 22, 39, 20), 'start_time': datetime.datetime(2016, 10, 13, 1, 33, 47), 'rate': 3, 'updated_at': datetime.datetime(2018, 11, 3, 13, 28, 12), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c4ba5b5d-3add-4b77-900a-4eefe1c54dc7', 'job_description': 'Organic background strategy', 'start_date': datetime.datetime(2016, 11, 25, 2, 38, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 17, 3, 27, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 30, 2, 31, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '47df2d77-d11c-4b26-bbc1-fdd74221fe4a', 'end_date': datetime.datetime(2010, 11, 12, 20, 6, 28), 'start_time': datetime.datetime(2012, 10, 25, 8, 24, 55), 'rate': 3, 'updated_at': datetime.datetime(2016, 8, 6, 1, 15, 19), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '366b6e34-589a-40f8-b6be-7687fe39ea12', 'job_description': 'User-friendly bottom-line toolset', 'start_date': datetime.datetime(2013, 1, 4, 20, 51, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 9, 22, 57, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 21, 6, 47, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8794a20e-164c-4c1f-96d3-c0657bc15cfe', 'end_date': datetime.datetime(2013, 12, 26, 23, 13, 11), 'start_time': datetime.datetime(2018, 10, 4, 12, 31, 27), 'rate': 5, 'updated_at': datetime.datetime(2014, 6, 8, 2, 22, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2e4468cf-9ce2-49df-b320-e1ef18be67ea', 'job_description': 'Profound disintermediate encoding', 'start_date': datetime.datetime(2017, 3, 18, 23, 39, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 7, 19, 23, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 19, 15, 9, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3bcd7651-d258-4be8-8404-5c2340e80dfa', 'end_date': datetime.datetime(2011, 10, 4, 23, 28, 59), 'start_time': datetime.datetime(2014, 6, 12, 23, 16, 44), 'rate': 3, 'updated_at': datetime.datetime(2017, 1, 31, 2, 0, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b252e7c3-c346-4619-ab05-bf2efdaf5750', 'job_description': 'Inverse human-resource productivity', 'start_date': datetime.datetime(2015, 3, 19, 9, 52, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 19, 19, 30, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 23, 13, 34, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9a433a59-9dc4-4c6c-8a85-e097c0ebede9', 'end_date': datetime.datetime(2018, 7, 1, 13, 45, 20), 'start_time': datetime.datetime(2015, 6, 8, 8, 44, 55), 'rate': 3, 'updated_at': datetime.datetime(2011, 6, 13, 11, 23, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0a4f234e-9224-478a-817f-97a61abffaf0', 'job_description': 'Multi-tiered mobile policy', 'start_date': datetime.datetime(2013, 7, 26, 15, 33, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 9, 22, 42, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 19, 7, 44, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '81085d6b-4582-4823-b4b0-114c33c5c26f', 'end_date': datetime.datetime(2018, 2, 3, 14, 41, 11), 'start_time': datetime.datetime(2017, 2, 14, 23, 24, 38), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 16, 22, 28, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b09aef8c-4a56-4587-9cda-46a545771947', 'job_description': 'Customer-focused modular array', 'start_date': datetime.datetime(2014, 8, 9, 22, 13, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 15, 15, 16, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 14, 17, 38, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '16a83922-42c0-4bc9-b084-42ed1f2114b0', 'end_date': datetime.datetime(2019, 5, 3, 1, 26, 57), 'start_time': datetime.datetime(2013, 7, 6, 2, 33, 9), 'rate': 1, 'updated_at': datetime.datetime(2016, 1, 5, 17, 9, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
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{'_id': 'aa2bd796-82a6-4108-8400-4d75c15d1a0d', 'job_description': 'Digitized web-enabled solution', 'start_date': datetime.datetime(2015, 5, 14, 0, 43, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 12, 22, 38, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 18, 9, 48, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8fab868b-0d8f-404f-ba1b-9e3889355daf', 'end_date': datetime.datetime(2012, 3, 22, 11, 25, 59), 'start_time': datetime.datetime(2018, 11, 4, 12, 38, 50), 'rate': 5, 'updated_at': datetime.datetime(2019, 4, 24, 23, 57, 39), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
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{'_id': '60dc51ba-1b39-43c9-837d-bcbb1ec160ac', 'job_description': 'Balanced tangible moderator', 'start_date': datetime.datetime(2014, 2, 20, 17, 44, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 17, 22, 36, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 7, 7, 31, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bb52cd32-0be8-42ad-bdd9-ac14493eb982', 'end_date': datetime.datetime(2012, 6, 10, 13, 26, 57), 'start_time': datetime.datetime(2013, 9, 22, 13, 20, 18), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 26, 10, 0, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
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{'_id': '4f13c89d-17a2-456e-bcb1-fcedd7d3239f', 'job_description': 'Intuitive cohesive superstructure', 'start_date': datetime.datetime(2010, 2, 28, 18, 48, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 27, 6, 52, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 1, 11, 2, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '341dd15e-ca82-4457-ac70-87c15f54de71', 'end_date': datetime.datetime(2015, 12, 12, 16, 16, 25), 'start_time': datetime.datetime(2013, 9, 17, 19, 2, 37), 'rate': 3, 'updated_at': datetime.datetime(2012, 1, 23, 21, 52, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
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{'_id': 'a5cf2fc8-7865-4fdc-8196-572c675e5cb8', 'job_description': 'Synergistic clear-thinking neural-net', 'start_date': datetime.datetime(2019, 7, 19, 8, 15, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 24, 2, 49, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 20, 23, 28, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'adfbefb7-347a-48d5-a674-e27f22ca51a4', 'end_date': datetime.datetime(2019, 5, 2, 10, 25, 45), 'start_time': datetime.datetime(2011, 5, 4, 9, 38, 27), 'rate': 5, 'updated_at': datetime.datetime(2019, 4, 2, 5, 18, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
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{'_id': '4dc7a603-b35d-4f7d-abed-930cf6d4af6b', 'job_description': 'Function-based web-enabled database', 'start_date': datetime.datetime(2011, 5, 23, 22, 13, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 6, 13, 9, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 8, 7, 26, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3cf8d50e-46e2-4363-9a84-edf676dcefb4', 'end_date': datetime.datetime(2010, 11, 17, 9, 25, 20), 'start_time': datetime.datetime(2016, 5, 3, 20, 53, 33), 'rate': 3, 'updated_at': datetime.datetime(2016, 11, 18, 19, 46, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Trinidad and Tobago', 'special_note': 'thanks'}
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{'_id': 'a40be462-2e0c-403c-9b8a-a7977c818602', 'job_description': 'Streamlined full-range alliance', 'start_date': datetime.datetime(2015, 5, 11, 15, 4, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 5, 11, 38, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 19, 11, 14, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4e91af01-e638-482e-b9af-54771000cf14', 'end_date': datetime.datetime(2010, 5, 6, 9, 13, 2), 'start_time': datetime.datetime(2013, 10, 1, 6, 39, 29), 'rate': 3, 'updated_at': datetime.datetime(2015, 12, 11, 11, 3, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
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{'_id': 'a6ea7ebc-bcda-449b-808d-c5d71e2b2f35', 'job_description': 'Seamless tertiary definition', 'start_date': datetime.datetime(2012, 11, 11, 19, 49, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 21, 9, 25, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 14, 4, 46, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24af0387-3450-4cec-9b17-2d796d99f999', 'end_date': datetime.datetime(2015, 12, 14, 6, 39, 30), 'start_time': datetime.datetime(2014, 6, 17, 20, 31, 24), 'rate': 5, 'updated_at': datetime.datetime(2018, 1, 3, 7, 50, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
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{'_id': 'dce229e4-e43f-4b9f-845e-54666c795297', 'job_description': 'Robust fault-tolerant data-warehouse', 'start_date': datetime.datetime(2017, 7, 19, 9, 43, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 8, 3, 19, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 19, 20, 25, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3a8132f8-94dd-4edb-959d-738867646425', 'end_date': datetime.datetime(2013, 3, 22, 10, 8, 8), 'start_time': datetime.datetime(2014, 11, 27, 10, 7, 56), 'rate': 2, 'updated_at': datetime.datetime(2017, 7, 26, 6, 26, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Rwanda', 'special_note': 'thanks'}
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{'_id': '6ebdca26-c7cf-4dd1-b351-7448bd0aa1c5', 'job_description': 'Object-based actuating info-mediaries', 'start_date': datetime.datetime(2014, 8, 9, 15, 36, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 28, 7, 16, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 22, 10, 25, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '256ea977-953e-4911-88b9-74e413b94245', 'end_date': datetime.datetime(2013, 7, 15, 9, 34, 48), 'start_time': datetime.datetime(2014, 11, 21, 20, 10, 23), 'rate': 2, 'updated_at': datetime.datetime(2016, 1, 11, 1, 53, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
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{'_id': 'd4f5971e-83c2-4bfc-ab87-b93965b9199b', 'job_description': 'Extended systematic Graphic Interface', 'start_date': datetime.datetime(2014, 5, 22, 19, 31, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 29, 12, 54, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 30, 15, 33, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6992a36a-0e18-4473-8292-0f3d37018b04', 'end_date': datetime.datetime(2013, 11, 11, 11, 52, 5), 'start_time': datetime.datetime(2019, 10, 12, 5, 41, 50), 'rate': 2, 'updated_at': datetime.datetime(2016, 11, 25, 22, 8, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
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{'_id': 'f8d234eb-2f3a-4304-b2fa-20a19b7d16e8', 'job_description': 'Reactive background hardware', 'start_date': datetime.datetime(2011, 4, 15, 2, 46, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 29, 22, 53, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 29, 21, 2, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e0f6fa27-9d20-45f1-8f07-c14bf8ec8151', 'end_date': datetime.datetime(2015, 4, 23, 8, 20, 11), 'start_time': datetime.datetime(2012, 3, 17, 17, 52, 46), 'rate': 3, 'updated_at': datetime.datetime(2017, 5, 13, 14, 53, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
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{'_id': 'fa164e70-f40e-4b5f-b710-d181f0987a2d', 'job_description': 'Fully-configurable transitional capacity', 'start_date': datetime.datetime(2013, 1, 17, 7, 50, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 3, 2, 45, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 26, 22, 29, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e0cfa72-a6b0-49a7-b647-641286153482', 'end_date': datetime.datetime(2011, 10, 15, 6, 38, 14), 'start_time': datetime.datetime(2013, 8, 28, 19, 25, 12), 'rate': 2, 'updated_at': datetime.datetime(2010, 9, 16, 9, 59, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
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{'_id': '20aafb8d-03be-44c5-81b4-e1cd0ea636ac', 'job_description': 'Multi-layered stable circuit', 'start_date': datetime.datetime(2013, 10, 21, 17, 41, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 22, 19, 11, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 8, 22, 5, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '81002571-94ac-42c7-8bbc-2285a548ebda', 'end_date': datetime.datetime(2012, 12, 2, 15, 11, 25), 'start_time': datetime.datetime(2018, 10, 21, 3, 59, 6), 'rate': 2, 'updated_at': datetime.datetime(2011, 3, 8, 0, 13, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
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{'_id': '9a7b66cc-d21b-42b5-aa4e-4a1bfa705fda', 'job_description': 'Horizontal 24/7 help-desk', 'start_date': datetime.datetime(2013, 1, 30, 23, 41, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 19, 8, 59, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 23, 8, 0, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1bebf1df-5ab2-4ef2-b5e6-8fa7f0864cb0', 'end_date': datetime.datetime(2017, 7, 15, 21, 36, 20), 'start_time': datetime.datetime(2011, 6, 9, 23, 43, 4), 'rate': 5, 'updated_at': datetime.datetime(2012, 3, 2, 19, 7, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': 'c05caf1b-02b4-4434-b884-668331717c84', 'job_description': 'Universal multi-tasking database', 'start_date': datetime.datetime(2012, 11, 21, 12, 27, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 1, 15, 53, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 17, 8, 38, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cb904372-083d-46c3-8e38-85441412c3f8', 'end_date': datetime.datetime(2018, 4, 28, 9, 48, 2), 'start_time': datetime.datetime(2011, 8, 24, 17, 32, 40), 'rate': 4, 'updated_at': datetime.datetime(2011, 10, 17, 7, 46, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
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{'_id': 'dca71375-6de2-4f01-9d26-123e30e05f28', 'job_description': 'Reactive real-time complexity', 'start_date': datetime.datetime(2014, 4, 17, 13, 49, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 20, 2, 0, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 16, 1, 12, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9b7a048b-aef0-4e4c-8f81-d8e537408587', 'end_date': datetime.datetime(2019, 7, 3, 8, 0, 42), 'start_time': datetime.datetime(2015, 9, 18, 23, 4, 27), 'rate': 5, 'updated_at': datetime.datetime(2018, 4, 17, 15, 8, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
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{'_id': 'c26d6da8-005e-4536-b1fc-a9bff4fda3d5', 'job_description': 'Centralized fault-tolerant hub', 'start_date': datetime.datetime(2018, 9, 15, 9, 11, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 3, 12, 24, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 9, 10, 42, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f99324ce-ac4b-4be6-9ce7-d9a7143e72d4', 'end_date': datetime.datetime(2015, 8, 1, 16, 21, 37), 'start_time': datetime.datetime(2017, 10, 20, 19, 42, 48), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 4, 13, 54, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
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{'_id': '1e0e9584-5ac5-4c20-b05b-ac46aaa8e2bb', 'job_description': 'Vision-oriented context-sensitive capability', 'start_date': datetime.datetime(2018, 2, 6, 7, 7, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 13, 8, 51, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 2, 20, 55, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ec426c0d-dc8c-41e1-b80e-621acc194936', 'end_date': datetime.datetime(2017, 10, 15, 21, 5, 18), 'start_time': datetime.datetime(2019, 5, 7, 5, 37, 32), 'rate': 4, 'updated_at': datetime.datetime(2017, 1, 17, 20, 19, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
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{'_id': 'c3e42191-8587-44c8-99c0-615aa42dfe98', 'job_description': 'Seamless 3rd generation circuit', 'start_date': datetime.datetime(2015, 6, 16, 18, 35, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 18, 7, 21, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 23, 23, 22, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '75dcc694-6002-4b40-835b-8884fd92aee8', 'end_date': datetime.datetime(2013, 12, 14, 3, 48, 2), 'start_time': datetime.datetime(2019, 11, 22, 0, 36, 40), 'rate': 4, 'updated_at': datetime.datetime(2010, 2, 22, 12, 47, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
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{'_id': '967239ab-ab54-4a2e-a24e-4756864648a2', 'job_description': 'Innovative explicit array', 'start_date': datetime.datetime(2017, 6, 16, 5, 8, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 26, 15, 31, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 14, 18, 27, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '93033621-2a7b-4f8b-8565-9780243ea1ae', 'end_date': datetime.datetime(2019, 10, 9, 22, 24, 8), 'start_time': datetime.datetime(2015, 4, 29, 20, 19, 59), 'rate': 5, 'updated_at': datetime.datetime(2014, 11, 25, 6, 36, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '31f47b1c-af71-4742-8d98-03a14718eab6', 'job_description': 'Secured zero tolerance installation', 'start_date': datetime.datetime(2015, 5, 11, 6, 24, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 18, 1, 31, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 26, 6, 9, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '09143aca-df7b-4e56-9f32-566de6ac4aaf', 'end_date': datetime.datetime(2011, 2, 16, 15, 30, 40), 'start_time': datetime.datetime(2018, 4, 3, 2, 26, 54), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 25, 22, 10, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9578cf03-c49b-45b8-98f7-d4b7302f1c43', 'job_description': 'Synergized maximized attitude', 'start_date': datetime.datetime(2016, 3, 18, 19, 46, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 15, 15, 2, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 15, 11, 10, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '20f43379-c22e-4c69-bfc4-baef70695a44', 'end_date': datetime.datetime(2016, 6, 30, 16, 36, 51), 'start_time': datetime.datetime(2017, 3, 22, 3, 30, 42), 'rate': 3, 'updated_at': datetime.datetime(2018, 6, 24, 5, 20, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Ukraine', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '82cef011-0f12-476e-b1a2-2b932634342f', 'job_description': 'Expanded intangible knowledge user', 'start_date': datetime.datetime(2012, 3, 7, 8, 20, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 5, 15, 49, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 8, 23, 53, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ad1fb27-5154-40d6-ae08-667dbbef11e3', 'end_date': datetime.datetime(2016, 2, 9, 5, 43, 48), 'start_time': datetime.datetime(2019, 9, 29, 10, 28, 35), 'rate': 3, 'updated_at': datetime.datetime(2016, 8, 16, 2, 10, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e2e3421-4ed6-4f2c-9939-411f45cce91d', 'job_description': 'Adaptive grid-enabled moratorium', 'start_date': datetime.datetime(2017, 6, 4, 17, 31, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 9, 8, 41, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 18, 17, 35, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '59638257-accb-4a0a-afcf-e32b0f347203', 'end_date': datetime.datetime(2014, 7, 8, 8, 51, 17), 'start_time': datetime.datetime(2016, 7, 8, 0, 21, 51), 'rate': 5, 'updated_at': datetime.datetime(2018, 8, 23, 6, 31, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '80dfb0ee-3161-432c-8108-ccd51aec0240', 'job_description': 'Integrated mobile interface', 'start_date': datetime.datetime(2013, 6, 2, 6, 14, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 18, 1, 43, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 27, 8, 28, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a32b2f27-3392-4b98-ad0d-d6b6cf80d56c', 'end_date': datetime.datetime(2011, 9, 13, 20, 2, 5), 'start_time': datetime.datetime(2010, 3, 11, 10, 38, 45), 'rate': 4, 'updated_at': datetime.datetime(2015, 9, 15, 10, 44, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd733952a-e678-4890-99aa-115c030abbfb', 'job_description': 'Enterprise-wide 5th generation circuit', 'start_date': datetime.datetime(2013, 4, 25, 12, 34, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 19, 22, 9, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 6, 7, 36, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6b00a542-9b1d-42fb-91d6-dec0e394e02a', 'end_date': datetime.datetime(2011, 5, 14, 23, 2, 57), 'start_time': datetime.datetime(2010, 6, 15, 17, 26, 3), 'rate': 3, 'updated_at': datetime.datetime(2011, 8, 21, 20, 30, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '00da3809-4d8c-434d-ab03-ee0a8c07497e', 'job_description': 'Implemented full-range help-desk', 'start_date': datetime.datetime(2010, 6, 17, 14, 40, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 17, 21, 28, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 22, 10, 2, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24320941-8cc1-45ba-9e52-7516e61e92fe', 'end_date': datetime.datetime(2013, 2, 6, 0, 19, 52), 'start_time': datetime.datetime(2011, 1, 3, 1, 26, 38), 'rate': 1, 'updated_at': datetime.datetime(2015, 4, 6, 8, 28, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f1b5c587-a7ff-4503-8cf8-02f9953d7e17', 'job_description': 'Fundamental demand-driven secured line', 'start_date': datetime.datetime(2011, 5, 25, 20, 58, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 13, 22, 12, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 12, 2, 4, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8c6d76ee-bedc-4a05-86e0-c925a07c0336', 'end_date': datetime.datetime(2013, 11, 13, 12, 24, 48), 'start_time': datetime.datetime(2014, 8, 21, 21, 16, 58), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 21, 15, 54, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81560883-3fb5-4ecd-9209-e3a8f59cc73f', 'job_description': 'Ameliorated solution-oriented budgetary management', 'start_date': datetime.datetime(2011, 8, 23, 22, 31, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 13, 20, 50, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 18, 21, 7, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd1e831ed-1f86-4b34-911b-c7294b7c5751', 'end_date': datetime.datetime(2016, 4, 10, 17, 39, 35), 'start_time': datetime.datetime(2017, 11, 2, 17, 24, 39), 'rate': 4, 'updated_at': datetime.datetime(2015, 8, 15, 19, 54, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bd1b4e26-ee6f-42fc-b2b0-51412994df62', 'job_description': 'Switchable analyzing flexibility', 'start_date': datetime.datetime(2015, 5, 30, 21, 43, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 2, 21, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 21, 13, 29, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0cad66b5-f7f5-407f-9b77-ab36ad550a3b', 'end_date': datetime.datetime(2019, 5, 13, 11, 20, 26), 'start_time': datetime.datetime(2017, 1, 11, 12, 59, 34), 'rate': 4, 'updated_at': datetime.datetime(2017, 9, 28, 1, 52, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Cook Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a035d50a-2090-4ce9-a092-3515c8de247e', 'job_description': 'Networked disintermediate intranet', 'start_date': datetime.datetime(2015, 2, 24, 13, 44, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 22, 1, 11, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 10, 2, 7, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5746dac6-4315-41a4-b71b-ef606dd6f53a', 'end_date': datetime.datetime(2014, 3, 15, 16, 8, 5), 'start_time': datetime.datetime(2016, 7, 22, 8, 54, 54), 'rate': 2, 'updated_at': datetime.datetime(2014, 5, 15, 5, 1, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f6cb895a-801d-44d3-9333-ce264aae24b7', 'job_description': 'Multi-lateral bi-directional installation', 'start_date': datetime.datetime(2011, 9, 24, 3, 0, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 22, 2, 6, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 11, 21, 35, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9538e8c8-8755-4357-b3ca-34e11519450f', 'end_date': datetime.datetime(2015, 11, 19, 17, 42, 30), 'start_time': datetime.datetime(2012, 9, 16, 20, 15, 45), 'rate': 3, 'updated_at': datetime.datetime(2019, 5, 25, 6, 13, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8234e5b6-6c28-4cf6-b95e-029aee70e2ed', 'job_description': 'Front-line clear-thinking website', 'start_date': datetime.datetime(2014, 8, 8, 3, 9, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 11, 11, 51, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 18, 0, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4adec576-2f3a-4c3d-9dc2-247871f6a877', 'end_date': datetime.datetime(2010, 8, 14, 8, 19, 39), 'start_time': datetime.datetime(2019, 11, 23, 18, 54, 10), 'rate': 4, 'updated_at': datetime.datetime(2010, 2, 1, 11, 36, 6), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b9ec1d30-a003-4282-8712-4fbd225e01ad', 'job_description': 'Profit-focused interactive productivity', 'start_date': datetime.datetime(2015, 3, 23, 7, 54, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 1, 5, 7, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 28, 15, 52, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24e6681a-ae79-42f7-b650-8b8a066a584d', 'end_date': datetime.datetime(2010, 4, 22, 3, 41, 13), 'start_time': datetime.datetime(2015, 6, 1, 1, 44, 39), 'rate': 4, 'updated_at': datetime.datetime(2011, 12, 25, 8, 13, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '22c99d0d-68e9-4da6-a330-9258f0c6d62b', 'job_description': 'Pre-emptive systemic frame', 'start_date': datetime.datetime(2011, 11, 30, 21, 21, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 4, 18, 27, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 18, 16, 12, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'caf7d3d6-e58a-41b3-a920-509be793f058', 'end_date': datetime.datetime(2013, 10, 11, 16, 15, 11), 'start_time': datetime.datetime(2017, 1, 5, 23, 49), 'rate': 3, 'updated_at': datetime.datetime(2017, 6, 29, 7, 59, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '992de6cb-f36d-4011-afcc-36697c8b3578', 'job_description': 'Down-sized high-level moratorium', 'start_date': datetime.datetime(2012, 2, 26, 1, 34, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 2, 21, 38, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 31, 14, 27, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ace67f39-9d15-4ec0-b635-aab6c3d0664d', 'end_date': datetime.datetime(2015, 11, 7, 15, 37, 47), 'start_time': datetime.datetime(2010, 4, 2, 21, 22, 30), 'rate': 3, 'updated_at': datetime.datetime(2018, 7, 7, 19, 56, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2766cad7-b9ea-4701-b097-f288b83beb1b', 'job_description': 'Reverse-engineered leading edge algorithm', 'start_date': datetime.datetime(2018, 10, 25, 17, 1, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 6, 1, 50, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 7, 9, 52, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'da747605-07fe-43e8-ae27-1e0e8673bd29', 'end_date': datetime.datetime(2017, 9, 12, 13, 20, 33), 'start_time': datetime.datetime(2017, 7, 21, 9, 11, 34), 'rate': 4, 'updated_at': datetime.datetime(2010, 9, 30, 6, 40, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5b016bc-5ba1-42e7-b91a-bb98de69e366', 'job_description': 'Progressive multimedia challenge', 'start_date': datetime.datetime(2015, 3, 31, 23, 36, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 14, 19, 42, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 5, 20, 14, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c08bf7a1-d78e-46bc-b7ef-7cd6b20051b2', 'end_date': datetime.datetime(2012, 8, 5, 2, 55, 30), 'start_time': datetime.datetime(2019, 10, 2, 21, 59, 21), 'rate': 1, 'updated_at': datetime.datetime(2013, 11, 21, 16, 42, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fd0722d0-f61c-40dd-8144-02102933fa36', 'job_description': 'Innovative contextually-based model', 'start_date': datetime.datetime(2015, 2, 7, 6, 17, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 16, 20, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 6, 5, 23, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fe3bcc8f-3220-4b19-b2b6-ad32032be513', 'end_date': datetime.datetime(2018, 1, 19, 11, 40, 54), 'start_time': datetime.datetime(2014, 8, 10, 17, 35, 30), 'rate': 2, 'updated_at': datetime.datetime(2018, 6, 22, 11, 54, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6058d61f-b83a-4c05-a40f-fd6119e5a6de', 'job_description': 'Self-enabling exuding Graphical User Interface', 'start_date': datetime.datetime(2018, 8, 27, 0, 36, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 9, 19, 27, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 2, 10, 29, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a86c8dc2-aea7-4425-b91d-5d48a82ab702', 'end_date': datetime.datetime(2015, 12, 7, 12, 32, 6), 'start_time': datetime.datetime(2017, 6, 21, 6, 31, 11), 'rate': 1, 'updated_at': datetime.datetime(2015, 11, 23, 9, 30, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Bahamas', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '483346ad-3d6a-47ac-9ad8-4e7095b10461', 'job_description': 'Configurable optimizing process improvement', 'start_date': datetime.datetime(2011, 5, 14, 21, 18, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 28, 12, 6, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 7, 17, 19, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dd4a8295-4136-4ea6-8116-d27f073acd60', 'end_date': datetime.datetime(2018, 8, 17, 22, 18, 39), 'start_time': datetime.datetime(2010, 3, 4, 7, 18, 46), 'rate': 3, 'updated_at': datetime.datetime(2017, 4, 17, 18, 24, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Palestinian Territory', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b06c2775-f8b3-4628-89b4-3db98cb6c6a1', 'job_description': 'Organic web-enabled function', 'start_date': datetime.datetime(2014, 5, 15, 13, 38, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 15, 2, 58, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 13, 4, 12, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '22ab0f0d-4960-4d10-8c74-35a96f362cb3', 'end_date': datetime.datetime(2016, 9, 7, 18, 28, 47), 'start_time': datetime.datetime(2010, 6, 16, 17, 46, 58), 'rate': 2, 'updated_at': datetime.datetime(2013, 2, 13, 7, 0, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Cambodia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '190d5ba4-4d70-4474-b592-abda1b4b4f61', 'job_description': 'Proactive leading edge workforce', 'start_date': datetime.datetime(2018, 11, 12, 18, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 14, 20, 42, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 19, 21, 24, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '724b7ac6-39bd-49a8-a365-b35831f4be5a', 'end_date': datetime.datetime(2016, 2, 20, 0, 34, 31), 'start_time': datetime.datetime(2019, 6, 14, 12, 48, 9), 'rate': 1, 'updated_at': datetime.datetime(2013, 11, 1, 14, 38, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Eritrea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3ae109ad-b872-4307-9038-3a2ba7a4a281', 'job_description': 'Automated maximized paradigm', 'start_date': datetime.datetime(2016, 1, 26, 7, 33, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 22, 0, 39, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 6, 2, 18, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '022b86a7-2112-4468-967c-3f0c0be5f073', 'end_date': datetime.datetime(2015, 5, 4, 14, 23, 10), 'start_time': datetime.datetime(2014, 2, 8, 14, 30, 24), 'rate': 1, 'updated_at': datetime.datetime(2016, 3, 3, 17, 42, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Bosnia and Herzegovina', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bde080b3-02ef-437c-bd6b-5f9a4a4cb3e7', 'job_description': 'Enhanced assymetric structure', 'start_date': datetime.datetime(2017, 4, 10, 23, 52, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 11, 13, 55, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 11, 11, 20, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc662fcb-b854-4cc7-b009-8269402a358f', 'end_date': datetime.datetime(2016, 6, 25, 18, 21, 26), 'start_time': datetime.datetime(2016, 8, 27, 1, 34, 43), 'rate': 4, 'updated_at': datetime.datetime(2018, 10, 24, 21, 10, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ec87b2ee-9491-4fa0-a163-c463caff58fd', 'job_description': 'Upgradable analyzing concept', 'start_date': datetime.datetime(2014, 9, 1, 21, 38, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 11, 22, 44, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 30, 15, 10, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '424ce3c0-1be7-436b-bd31-6bea7cbc172e', 'end_date': datetime.datetime(2017, 12, 4, 17, 1), 'start_time': datetime.datetime(2010, 11, 15, 12, 33, 44), 'rate': 4, 'updated_at': datetime.datetime(2015, 12, 23, 8, 42, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '241fdb0a-2f67-4630-ac04-18324e0712c1', 'job_description': 'Profound maximized focus group', 'start_date': datetime.datetime(2015, 7, 11, 11, 42, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 28, 3, 40, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 1, 11, 0, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '86823f92-bd2e-458d-a6e3-f7bc476a45d8', 'end_date': datetime.datetime(2014, 9, 4, 13, 44, 14), 'start_time': datetime.datetime(2014, 7, 26, 16, 35, 29), 'rate': 1, 'updated_at': datetime.datetime(2013, 4, 28, 19, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bd770b8b-929f-4bf3-81ab-5e81e91ef07b', 'job_description': 'Organized fault-tolerant orchestration', 'start_date': datetime.datetime(2017, 7, 5, 20, 26, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 24, 5, 9, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 13, 9, 42, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '97380aff-258e-4dc2-b40e-86af5cffde87', 'end_date': datetime.datetime(2010, 9, 24, 12, 51, 2), 'start_time': datetime.datetime(2013, 4, 18, 15, 48, 48), 'rate': 5, 'updated_at': datetime.datetime(2015, 6, 10, 19, 5, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3a2c6502-4a94-4a59-87b1-54643d170bd7', 'job_description': 'Phased regional migration', 'start_date': datetime.datetime(2016, 4, 26, 20, 4, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 24, 14, 46, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 3, 13, 35, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '78244a25-b2f7-4967-8b9d-825c2b5e93aa', 'end_date': datetime.datetime(2015, 2, 8, 17, 51, 28), 'start_time': datetime.datetime(2011, 12, 17, 21, 11, 26), 'rate': 5, 'updated_at': datetime.datetime(2018, 11, 18, 5, 2, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '86a07dcd-bddb-4b70-807c-6ba2bcdd3dce', 'job_description': 'Configurable secondary emulation', 'start_date': datetime.datetime(2016, 7, 15, 4, 49, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 7, 9, 34, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 20, 20, 54, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '40fb3fb7-ba58-4115-bebf-bfce2c3cb223', 'end_date': datetime.datetime(2015, 7, 16, 7, 56, 8), 'start_time': datetime.datetime(2017, 5, 15, 23, 6, 6), 'rate': 3, 'updated_at': datetime.datetime(2014, 2, 18, 14, 2, 17), 'job_title': 'CoffeeMaker', 'service_id': 'British Indian Ocean Territory (Chagos Archipelago)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '03afb907-b79e-4f70-82f7-e5351f13527d', 'job_description': 'Total impactful installation', 'start_date': datetime.datetime(2013, 11, 27, 21, 43, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 8, 8, 27, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 20, 7, 34, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '327fb9e0-9992-428b-8799-a3a5c060e977', 'end_date': datetime.datetime(2015, 6, 7, 16, 42, 47), 'start_time': datetime.datetime(2016, 4, 12, 6, 14, 52), 'rate': 4, 'updated_at': datetime.datetime(2019, 8, 17, 20, 41, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Tokelau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6d7a8f14-a1a5-4a66-bb07-ba839a84424c', 'job_description': 'Profit-focused local productivity', 'start_date': datetime.datetime(2017, 7, 15, 4, 51, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 31, 10, 3, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 17, 4, 42, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '13215b62-f66e-42f9-ba6d-804cbd68f180', 'end_date': datetime.datetime(2015, 8, 4, 8, 20, 2), 'start_time': datetime.datetime(2010, 5, 26, 7, 41, 48), 'rate': 2, 'updated_at': datetime.datetime(2010, 9, 18, 23, 2, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3048a801-86b4-4ce0-b71a-09578048deb6', 'job_description': 'Synergized upward-trending data-warehouse', 'start_date': datetime.datetime(2012, 2, 12, 14, 5, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 5, 9, 56, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 11, 3, 35, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f34fffa4-7536-49b6-93f7-221304d7cf34', 'end_date': datetime.datetime(2018, 6, 6, 19, 4, 49), 'start_time': datetime.datetime(2019, 11, 13, 23, 20, 48), 'rate': 1, 'updated_at': datetime.datetime(2017, 3, 21, 4, 43, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a893f816-b3b5-4d5e-9274-614646314cf6', 'job_description': 'Seamless 5th generation circuit', 'start_date': datetime.datetime(2012, 4, 6, 10, 21, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 20, 20, 46, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 13, 16, 10, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bffc80a0-a53a-4746-8d7a-bd09bd879877', 'end_date': datetime.datetime(2016, 4, 24, 10, 8, 27), 'start_time': datetime.datetime(2016, 4, 17, 7, 40, 34), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 28, 3, 26, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '364195c3-eec7-44c0-988e-fc2209b1f7c9', 'job_description': 'Face to face 5th generation knowledge user', 'start_date': datetime.datetime(2017, 4, 17, 0, 12, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 30, 3, 15, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 13, 1, 21, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9a6ba178-fd6e-41d0-9112-767990a38f71', 'end_date': datetime.datetime(2012, 5, 20, 9, 1, 7), 'start_time': datetime.datetime(2016, 3, 17, 22, 24, 31), 'rate': 2, 'updated_at': datetime.datetime(2015, 6, 2, 23, 55, 46), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '69235b8c-7567-483c-86a9-e3ffdeb77f17', 'job_description': 'Progressive contextually-based hub', 'start_date': datetime.datetime(2011, 5, 18, 14, 5, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 27, 1, 32, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 28, 21, 29, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cdaf2a6f-de09-49ea-b3c4-ff9a5cd658c1', 'end_date': datetime.datetime(2014, 9, 7, 23, 11, 34), 'start_time': datetime.datetime(2012, 7, 19, 23, 28, 5), 'rate': 3, 'updated_at': datetime.datetime(2015, 5, 7, 8, 55, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c37e7aee-ce3d-4c9b-99d8-fcf07bf8bd91', 'job_description': 'Visionary 6th generation intranet', 'start_date': datetime.datetime(2010, 6, 13, 20, 49, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 17, 15, 27, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 28, 9, 6, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ac462446-4ce1-48ec-914f-f6e7c3a6195b', 'end_date': datetime.datetime(2016, 1, 17, 8, 42, 13), 'start_time': datetime.datetime(2017, 4, 21, 21, 39, 27), 'rate': 4, 'updated_at': datetime.datetime(2016, 12, 11, 4, 34, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e7c09425-0bef-4119-9e11-f7e1048b8c16', 'job_description': 'Extended bifurcated service-desk', 'start_date': datetime.datetime(2010, 5, 2, 22, 45, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 12, 14, 14, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 13, 4, 12, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '37d25c24-1fb6-4beb-b4f3-4b236dccb67e', 'end_date': datetime.datetime(2015, 10, 31, 16, 31, 3), 'start_time': datetime.datetime(2018, 3, 19, 1, 34, 1), 'rate': 1, 'updated_at': datetime.datetime(2010, 1, 22, 20, 7, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b4e23b1-1976-4a0a-8915-b394a97ae602', 'job_description': 'Multi-lateral systematic benchmark', 'start_date': datetime.datetime(2016, 9, 30, 20, 54, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 7, 10, 23, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 19, 18, 53, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cb283da3-bfe2-4bf5-b34a-af46461cd01c', 'end_date': datetime.datetime(2019, 3, 3, 18, 4, 17), 'start_time': datetime.datetime(2018, 12, 31, 1, 23, 16), 'rate': 5, 'updated_at': datetime.datetime(2018, 1, 7, 11, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '097877ee-08b0-4ca1-84b4-49fadecde95a', 'job_description': 'Innovative contextually-based solution', 'start_date': datetime.datetime(2018, 8, 5, 4, 23, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 4, 18, 32, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 15, 13, 48, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e03c42f7-6a00-4c9c-ba2c-20cc62131a27', 'end_date': datetime.datetime(2018, 7, 16, 22, 16, 37), 'start_time': datetime.datetime(2018, 1, 25, 12, 52, 18), 'rate': 2, 'updated_at': datetime.datetime(2016, 1, 21, 9, 23, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9d23f490-6009-428a-83e3-c2781407abec', 'job_description': 'Configurable 3rd generation architecture', 'start_date': datetime.datetime(2018, 4, 15, 12, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 31, 18, 4, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 27, 16, 14, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cec74589-8e95-433d-8f37-2ba283db3893', 'end_date': datetime.datetime(2014, 11, 26, 8, 32, 15), 'start_time': datetime.datetime(2014, 6, 25, 22, 3, 16), 'rate': 5, 'updated_at': datetime.datetime(2017, 4, 26, 20, 27, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5454e816-3835-446c-8a5a-23ff12e76e96', 'job_description': 'Persevering eco-centric knowledge user', 'start_date': datetime.datetime(2018, 6, 14, 23, 15, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 12, 22, 50, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 17, 7, 22, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e89e6dc5-6472-4bff-b114-81afc61338a9', 'end_date': datetime.datetime(2016, 9, 20, 1, 13, 1), 'start_time': datetime.datetime(2013, 2, 25, 21, 21, 9), 'rate': 5, 'updated_at': datetime.datetime(2018, 11, 3, 5, 1, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a22031b6-a878-4822-97db-7bc63df79c48', 'job_description': 'Synergized 24 hour archive', 'start_date': datetime.datetime(2012, 4, 9, 16, 59, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 5, 9, 27, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 18, 15, 36, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e67c869f-5cf4-4ed9-b14b-ef18db929149', 'end_date': datetime.datetime(2016, 5, 1, 10, 16, 36), 'start_time': datetime.datetime(2011, 4, 20, 7, 44, 22), 'rate': 1, 'updated_at': datetime.datetime(2018, 9, 22, 11, 29, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Benin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '597012e4-5dc0-40c5-82ef-9d3ea9526676', 'job_description': 'Fundamental non-volatile Graphical User Interface', 'start_date': datetime.datetime(2012, 10, 7, 2, 57, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 16, 14, 36, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 1, 4, 45, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9250f11c-e20b-4c8c-9a7b-f28e8f653c6d', 'end_date': datetime.datetime(2012, 12, 10, 6, 28, 32), 'start_time': datetime.datetime(2013, 7, 2, 0, 19, 14), 'rate': 2, 'updated_at': datetime.datetime(2016, 3, 20, 5, 12, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5273159-1d25-4127-bca3-b4b683149d15', 'job_description': 'Sharable zero tolerance encryption', 'start_date': datetime.datetime(2017, 3, 15, 14, 57, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 17, 23, 55, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 15, 13, 40, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ba3b6e39-eda1-4232-80d3-47fb8cd87f59', 'end_date': datetime.datetime(2019, 9, 10, 2, 4, 55), 'start_time': datetime.datetime(2010, 7, 30, 2, 4, 59), 'rate': 2, 'updated_at': datetime.datetime(2018, 11, 14, 22, 11, 4), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b6b0361e-4b97-490a-a047-f99d5641cec0', 'job_description': 'Stand-alone tangible flexibility', 'start_date': datetime.datetime(2015, 7, 3, 10, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 25, 8, 58, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 20, 1, 19, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd2963e4b-ad9c-4342-9733-8a8b5ffb4af0', 'end_date': datetime.datetime(2018, 1, 12, 12, 5, 19), 'start_time': datetime.datetime(2014, 11, 5, 10, 38, 9), 'rate': 1, 'updated_at': datetime.datetime(2011, 6, 15, 6, 25, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '96544ec6-5610-47de-abb2-27c106abff1d', 'job_description': 'De-engineered client-server implementation', 'start_date': datetime.datetime(2016, 2, 21, 12, 6, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 10, 18, 0, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 28, 2, 18, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '36999189-8b9c-49d1-a03f-70ab46552338', 'end_date': datetime.datetime(2012, 6, 28, 8, 54, 37), 'start_time': datetime.datetime(2014, 3, 8, 14, 18, 35), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 6, 7, 59, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a6fe841e-ce05-4737-bb89-42a598a9d73d', 'job_description': 'Reactive web-enabled portal', 'start_date': datetime.datetime(2014, 6, 20, 13, 32, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 23, 13, 13, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 6, 15, 41, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fe75e739-63a7-436d-b8f6-0f2d9d38ed79', 'end_date': datetime.datetime(2016, 7, 11, 8, 8, 8), 'start_time': datetime.datetime(2011, 1, 25, 17, 50, 10), 'rate': 3, 'updated_at': datetime.datetime(2012, 8, 20, 13, 26, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '418fb7f7-de12-41ef-ba6f-399372ef5308', 'job_description': 'Team-oriented radical firmware', 'start_date': datetime.datetime(2011, 5, 31, 20, 14, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 4, 4, 37, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 10, 9, 37, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e4fdd94-dce6-4889-a60b-110e5910f3ef', 'end_date': datetime.datetime(2010, 8, 8, 4, 15, 13), 'start_time': datetime.datetime(2018, 2, 13, 22, 52, 38), 'rate': 5, 'updated_at': datetime.datetime(2010, 7, 11, 19, 54, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Pakistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5111164f-777a-432f-832b-4f1790a40ae6', 'job_description': 'Configurable maximized algorithm', 'start_date': datetime.datetime(2016, 10, 5, 4, 49, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 30, 23, 34, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 13, 14, 23, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f12dfa9-47df-48fe-9f57-901f70d4b2d3', 'end_date': datetime.datetime(2016, 12, 14, 20, 24, 16), 'start_time': datetime.datetime(2011, 3, 4, 2, 57, 29), 'rate': 3, 'updated_at': datetime.datetime(2012, 6, 18, 9, 51, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6440bfd0-5e69-40c2-8ba6-23d812a6d2fb', 'job_description': 'Multi-channelled user-facing data-warehouse', 'start_date': datetime.datetime(2017, 5, 8, 16, 38, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 16, 2, 26, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 29, 12, 21, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1687d1a6-45c6-4e70-ba92-3199e5ef2b5d', 'end_date': datetime.datetime(2018, 8, 31, 1, 55, 39), 'start_time': datetime.datetime(2013, 1, 16, 6, 22, 21), 'rate': 3, 'updated_at': datetime.datetime(2019, 3, 21, 18, 7, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '57181113-b8a7-4e13-9c8c-fc1e1e20c887', 'job_description': 'Function-based bottom-line hub', 'start_date': datetime.datetime(2016, 6, 21, 2, 55, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 12, 6, 0, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 28, 13, 4, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '38a92d6a-b8ff-4bf8-b268-7589d3410447', 'end_date': datetime.datetime(2018, 4, 12, 8, 8, 31), 'start_time': datetime.datetime(2011, 7, 3, 19, 54, 58), 'rate': 1, 'updated_at': datetime.datetime(2012, 3, 28, 10, 45, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3045e331-0b92-4c03-9fbe-b6b34b8fc836', 'job_description': 'Decentralized user-facing function', 'start_date': datetime.datetime(2011, 8, 23, 17, 9, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 8, 10, 53, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 12, 16, 26, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd70ee26c-34eb-4590-9bb9-d640d86155cb', 'end_date': datetime.datetime(2018, 12, 10, 11, 44, 31), 'start_time': datetime.datetime(2017, 9, 30, 4, 3, 52), 'rate': 2, 'updated_at': datetime.datetime(2010, 11, 18, 5, 47, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e06586a4-dfcd-4718-9ebf-b129bcc8b6ae', 'job_description': 'Re-engineered dedicated array', 'start_date': datetime.datetime(2011, 9, 16, 19, 23, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 21, 21, 31, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 13, 15, 39, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0335f35-a5ef-4da5-8043-b247863ddbf2', 'end_date': datetime.datetime(2012, 10, 29, 5, 32, 47), 'start_time': datetime.datetime(2010, 3, 28, 15, 48, 45), 'rate': 5, 'updated_at': datetime.datetime(2017, 7, 31, 19, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c09bc522-95b9-4538-b2f1-8a5044a5a382', 'job_description': 'Operative incremental approach', 'start_date': datetime.datetime(2016, 2, 14, 16, 7, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 16, 16, 25, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 19, 14, 52, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8a69a6b3-8dbf-4087-9a8c-b791e5f83a08', 'end_date': datetime.datetime(2015, 1, 30, 5, 4, 42), 'start_time': datetime.datetime(2015, 11, 26, 17, 51, 6), 'rate': 5, 'updated_at': datetime.datetime(2017, 8, 24, 5, 29, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '09d430fd-f2ee-4f12-a90a-510b3437af91', 'job_description': 'Switchable bottom-line leverage', 'start_date': datetime.datetime(2017, 1, 28, 6, 37, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 3, 2, 45, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 26, 15, 5, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '66bff012-fd7d-441d-98ba-d5ce672f954f', 'end_date': datetime.datetime(2019, 10, 28, 15, 29, 21), 'start_time': datetime.datetime(2017, 11, 30, 21, 16, 21), 'rate': 5, 'updated_at': datetime.datetime(2014, 2, 12, 7, 48, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Bulgaria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3d2f3d27-4d78-4d7c-b7a9-141cafb0b479', 'job_description': 'Total systemic leverage', 'start_date': datetime.datetime(2012, 5, 18, 14, 7, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 3, 1, 21, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 19, 15, 52, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '726cbcf5-f7d2-4355-a52f-32c6c32bbca1', 'end_date': datetime.datetime(2014, 5, 15, 8, 53, 14), 'start_time': datetime.datetime(2010, 10, 26, 11, 22, 58), 'rate': 2, 'updated_at': datetime.datetime(2018, 10, 21, 6, 46, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7f4ebdd7-7331-4535-8d73-61146e078b00', 'job_description': 'Total actuating service-desk', 'start_date': datetime.datetime(2018, 2, 9, 20, 32, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 14, 18, 32, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 12, 18, 13, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '62eca290-b18b-4e3a-b440-d21f4c10d7ec', 'end_date': datetime.datetime(2012, 9, 19, 19, 58, 52), 'start_time': datetime.datetime(2014, 4, 8, 6, 27, 24), 'rate': 1, 'updated_at': datetime.datetime(2015, 8, 22, 14, 28, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2537ff48-dfb5-4e3a-a61e-20de42e58dec', 'job_description': 'Customer-focused scalable concept', 'start_date': datetime.datetime(2013, 7, 17, 14, 16, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 10, 2, 3, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 30, 3, 48, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'afe4b2d0-b7ec-42f3-9be3-fb86db623c6a', 'end_date': datetime.datetime(2012, 12, 27, 9, 32, 6), 'start_time': datetime.datetime(2012, 11, 21, 1, 19, 7), 'rate': 5, 'updated_at': datetime.datetime(2019, 10, 5, 11, 18, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ffc8076b-ab1c-43e4-b6cc-409feae60940', 'job_description': 'Pre-emptive next generation time-frame', 'start_date': datetime.datetime(2014, 5, 18, 10, 9, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 11, 7, 1, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 2, 17, 47, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b2bd45d4-2939-4d11-9573-8d4417693ddc', 'end_date': datetime.datetime(2011, 11, 25, 2, 42, 25), 'start_time': datetime.datetime(2011, 2, 27, 14, 43, 46), 'rate': 3, 'updated_at': datetime.datetime(2017, 3, 18, 7, 4, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8698d870-87f0-4733-80d4-902f13d692eb', 'job_description': 'Virtual methodical service-desk', 'start_date': datetime.datetime(2014, 4, 17, 3, 47, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 11, 18, 17, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 27, 20, 52, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '990d3855-fd2b-4d76-8a6e-9b2490cc964b', 'end_date': datetime.datetime(2012, 3, 3, 12, 48, 52), 'start_time': datetime.datetime(2014, 4, 5, 23, 24, 39), 'rate': 3, 'updated_at': datetime.datetime(2011, 5, 19, 17, 23, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '20bd4b08-7860-4a6a-a4cc-c6fe121a750b', 'job_description': 'Open-source scalable hierarchy', 'start_date': datetime.datetime(2016, 7, 12, 10, 20, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 20, 4, 32, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 24, 14, 46, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd9573bc5-26cc-4896-9c79-0abcd18506fb', 'end_date': datetime.datetime(2015, 8, 23, 1, 52, 30), 'start_time': datetime.datetime(2017, 2, 28, 5, 7, 38), 'rate': 5, 'updated_at': datetime.datetime(2012, 12, 14, 17, 31, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '24bb05f4-5461-4f24-8aa2-1f4881675e09', 'job_description': 'Right-sized web-enabled process improvement', 'start_date': datetime.datetime(2015, 5, 4, 4, 37, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 19, 8, 16, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 26, 22, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e1472bf4-59a8-4867-b95f-0f69cb1baf9c', 'end_date': datetime.datetime(2018, 3, 2, 1, 7, 46), 'start_time': datetime.datetime(2010, 6, 1, 8, 54, 53), 'rate': 5, 'updated_at': datetime.datetime(2012, 12, 16, 13, 2, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Egypt', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '749dce0b-9cdf-4a46-ba9c-61e1bc936e64', 'job_description': 'Visionary bottom-line knowledge base', 'start_date': datetime.datetime(2011, 11, 8, 9, 32, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 18, 21, 51, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 1, 23, 22, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a81601a6-922b-49c2-9baf-708ab09dc91a', 'end_date': datetime.datetime(2016, 11, 24, 14, 3, 34), 'start_time': datetime.datetime(2018, 2, 7, 5, 4, 15), 'rate': 3, 'updated_at': datetime.datetime(2010, 5, 16, 16, 49, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '86dababf-d9ff-4b28-8d43-8a67a5d3e3f3', 'job_description': 'User-centric fresh-thinking concept', 'start_date': datetime.datetime(2018, 3, 12, 17, 59, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 14, 23, 4, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 20, 10, 54, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '97d0c46f-cce4-43e5-a1ca-28e94fa834e9', 'end_date': datetime.datetime(2015, 12, 28, 20, 24), 'start_time': datetime.datetime(2011, 8, 2, 21, 51, 30), 'rate': 2, 'updated_at': datetime.datetime(2019, 7, 2, 15, 59, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cca93fd0-b4aa-4b3f-9252-07d044c9a8f5', 'job_description': 'Reactive composite hardware', 'start_date': datetime.datetime(2010, 2, 18, 23, 9, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 11, 7, 4, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 28, 10, 30, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '150cbe6e-ce3b-4c7b-b528-370c479fd6a8', 'end_date': datetime.datetime(2014, 10, 2, 5, 29, 28), 'start_time': datetime.datetime(2010, 2, 16, 9, 20, 30), 'rate': 1, 'updated_at': datetime.datetime(2012, 5, 26, 0, 26, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd9391e8a-79af-4455-9553-e79db344a753', 'job_description': 'Optional empowering support', 'start_date': datetime.datetime(2014, 7, 30, 2, 43, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 13, 9, 39, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 25, 9, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '988c9a2b-8a25-45a6-ac05-21c80386e323', 'end_date': datetime.datetime(2012, 4, 22, 23, 53, 39), 'start_time': datetime.datetime(2011, 9, 27, 13, 7, 53), 'rate': 4, 'updated_at': datetime.datetime(2010, 5, 31, 21, 58, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e5a6dfdc-9957-42aa-925f-806ec37f4c02', 'job_description': 'Front-line methodical conglomeration', 'start_date': datetime.datetime(2014, 5, 2, 5, 0, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 23, 13, 43, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 10, 7, 50, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5bf39e9f-3e8d-4a3f-9926-b9203f405a74', 'end_date': datetime.datetime(2014, 2, 20, 20, 4, 13), 'start_time': datetime.datetime(2014, 12, 14, 5, 47, 50), 'rate': 1, 'updated_at': datetime.datetime(2017, 2, 7, 13, 49, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '84ab2bcd-32fc-45ae-a6ba-74ca0bf7f04a', 'job_description': 'Synergized optimizing encryption', 'start_date': datetime.datetime(2011, 6, 18, 23, 49, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 15, 6, 55, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 12, 1, 54, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f8dbbcfe-37fc-4253-b7db-4f8337c0e7b0', 'end_date': datetime.datetime(2011, 12, 18, 0, 42, 57), 'start_time': datetime.datetime(2017, 8, 27, 2, 47, 53), 'rate': 1, 'updated_at': datetime.datetime(2017, 8, 16, 17, 53, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ace1c2fa-88ae-4fac-9b45-4edf9212f5ae', 'job_description': 'Extended maximized focus group', 'start_date': datetime.datetime(2017, 2, 1, 16, 49, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 9, 22, 56, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 20, 20, 29, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e25283f-9fcf-4133-b0bd-f9c8364a4ed7', 'end_date': datetime.datetime(2019, 9, 5, 20, 21, 57), 'start_time': datetime.datetime(2013, 4, 5, 15, 1, 42), 'rate': 4, 'updated_at': datetime.datetime(2015, 12, 18, 2, 40, 1), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '43d6c452-34e2-462f-8c3a-b0c531fbdece', 'job_description': 'Synergized local local area network', 'start_date': datetime.datetime(2013, 10, 1, 22, 43, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 25, 18, 40, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 23, 19, 7, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cc5d3ebf-1775-498d-8699-da20de24a12b', 'end_date': datetime.datetime(2019, 4, 6, 17, 2, 8), 'start_time': datetime.datetime(2011, 2, 27, 11, 50, 36), 'rate': 5, 'updated_at': datetime.datetime(2010, 4, 23, 16, 10, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '469209d8-72cc-490a-afb3-725b36daa15d', 'job_description': 'Function-based needs-based capacity', 'start_date': datetime.datetime(2013, 3, 23, 9, 24, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 2, 15, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 15, 2, 46, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e2dd1d26-9786-4380-a320-b611c2306999', 'end_date': datetime.datetime(2017, 11, 17, 16, 13, 7), 'start_time': datetime.datetime(2012, 3, 25, 1, 19, 33), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 16, 16, 54, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '124f91b2-cfbd-40e2-acd5-f845fa0e5310', 'job_description': 'Fully-configurable background concept', 'start_date': datetime.datetime(2011, 10, 30, 5, 34, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 12, 21, 40, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 12, 1, 6, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ab91e904-b512-41a1-9ba5-13493a9f98c4', 'end_date': datetime.datetime(2019, 5, 16, 17, 36, 54), 'start_time': datetime.datetime(2019, 4, 10, 9, 26, 37), 'rate': 1, 'updated_at': datetime.datetime(2011, 1, 10, 5, 14, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0e877ebd-f1cf-4818-ae16-c4b4824611e1', 'job_description': 'Configurable solution-oriented moratorium', 'start_date': datetime.datetime(2018, 11, 24, 9, 19, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 1, 22, 3, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 8, 12, 24, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8f39f5d6-7aae-4f36-9143-391d38e138b7', 'end_date': datetime.datetime(2016, 7, 14, 12, 48, 34), 'start_time': datetime.datetime(2014, 12, 20, 18, 25, 50), 'rate': 3, 'updated_at': datetime.datetime(2016, 1, 14, 11, 57, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b2647249-f8fb-4b13-9cc9-d21530566243', 'job_description': 'Managed 24/7 intranet', 'start_date': datetime.datetime(2012, 7, 5, 8, 59, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 30, 4, 13, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 21, 15, 24, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f613b756-dcd5-4925-b43c-7ff1646f017d', 'end_date': datetime.datetime(2012, 5, 30, 7, 7, 35), 'start_time': datetime.datetime(2011, 8, 28, 20, 28, 3), 'rate': 2, 'updated_at': datetime.datetime(2017, 5, 14, 17, 36, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c6656b0d-7f9b-490b-8cff-e655d25f9068', 'job_description': 'Realigned intangible hierarchy', 'start_date': datetime.datetime(2010, 7, 30, 22, 11, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 8, 21, 4, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 6, 12, 23, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2c23c530-36e6-4962-930c-d47ec7417d67', 'end_date': datetime.datetime(2012, 1, 23, 10, 55, 23), 'start_time': datetime.datetime(2012, 6, 8, 0, 46, 31), 'rate': 2, 'updated_at': datetime.datetime(2011, 4, 10, 3, 30, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5c6a945-ce72-472e-9dab-7a3d3ad9b460', 'job_description': 'Business-focused actuating local area network', 'start_date': datetime.datetime(2012, 4, 10, 22, 8, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 25, 12, 48, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 14, 19, 52, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7f7b62f9-1c3d-40e5-98f9-7d4c51df7414', 'end_date': datetime.datetime(2013, 1, 23, 9, 18, 55), 'start_time': datetime.datetime(2013, 3, 7, 1, 44, 10), 'rate': 4, 'updated_at': datetime.datetime(2014, 1, 5, 21, 50, 15), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bd28a39e-15c4-48fc-9a50-3f29de58c96b', 'job_description': 'Business-focused methodical hierarchy', 'start_date': datetime.datetime(2017, 8, 20, 22, 48, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 18, 1, 29, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 12, 19, 10, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6ec6ceec-ed33-431e-bdb0-fd19b2c3926b', 'end_date': datetime.datetime(2016, 4, 2, 21, 49, 36), 'start_time': datetime.datetime(2011, 6, 6, 3, 59, 17), 'rate': 5, 'updated_at': datetime.datetime(2010, 4, 16, 8, 18, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c69573be-4f28-481c-9dd5-4022b15eec91', 'job_description': 'Up-sized solution-oriented methodology', 'start_date': datetime.datetime(2011, 4, 6, 9, 43, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 28, 16, 36, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 24, 10, 48, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9be172bf-9960-4df9-96e7-9f554a1552e8', 'end_date': datetime.datetime(2018, 7, 23, 12, 53, 43), 'start_time': datetime.datetime(2017, 12, 16, 1, 59, 26), 'rate': 5, 'updated_at': datetime.datetime(2013, 8, 10, 9, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8d1370f8-11f5-473a-8dc9-593c685aa39e', 'job_description': 'Cloned methodical intranet', 'start_date': datetime.datetime(2013, 4, 29, 9, 5, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 19, 7, 17, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 15, 12, 24, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb1b5262-8c04-455e-8685-9968deb779a5', 'end_date': datetime.datetime(2011, 6, 25, 11, 33, 8), 'start_time': datetime.datetime(2010, 1, 25, 12, 19, 6), 'rate': 2, 'updated_at': datetime.datetime(2010, 12, 17, 8, 17, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6aa19615-c881-4ce4-a5d9-e0c693bf4bfe', 'job_description': 'Progressive didactic knowledge user', 'start_date': datetime.datetime(2011, 3, 22, 23, 56, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 17, 10, 46, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 12, 9, 18, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e078adf2-8fd1-4ffa-85af-fa2d13a5e54c', 'end_date': datetime.datetime(2011, 1, 22, 22, 56, 44), 'start_time': datetime.datetime(2012, 9, 17, 2, 9, 30), 'rate': 2, 'updated_at': datetime.datetime(2011, 11, 13, 12, 10, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '70e392d9-4fd6-40bd-af3f-d771cc32c31b', 'job_description': 'Stand-alone intangible infrastructure', 'start_date': datetime.datetime(2019, 10, 7, 3, 12, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 8, 4, 27, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 11, 14, 55, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e8c8df52-2b33-4396-bade-3d5ac27694c6', 'end_date': datetime.datetime(2016, 6, 22, 15, 50, 44), 'start_time': datetime.datetime(2012, 6, 10, 17, 41, 16), 'rate': 2, 'updated_at': datetime.datetime(2016, 6, 16, 12, 34, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5c5f9146-b3f6-4793-8544-7090764bee46', 'job_description': 'Extended holistic website', 'start_date': datetime.datetime(2018, 6, 18, 14, 54, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 16, 6, 46, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 7, 12, 26, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e9a6d7a8-9bf4-4c8d-878c-b41914039c2e', 'end_date': datetime.datetime(2013, 2, 13, 3, 8, 52), 'start_time': datetime.datetime(2011, 3, 20, 0, 56, 45), 'rate': 3, 'updated_at': datetime.datetime(2014, 12, 31, 23, 6, 40), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5331a1b5-e37d-42ce-bf60-816f50e63b0b', 'job_description': 'Object-based upward-trending policy', 'start_date': datetime.datetime(2010, 4, 29, 5, 51, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 10, 15, 48, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 27, 13, 22, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '38993e68-9e24-4027-a3a2-6819e6f995f3', 'end_date': datetime.datetime(2015, 4, 5, 22, 54, 20), 'start_time': datetime.datetime(2016, 1, 15, 12, 0, 11), 'rate': 4, 'updated_at': datetime.datetime(2010, 11, 27, 19, 11, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Nauru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9e3f4fe2-69bb-4bf1-a6ce-df7923e54153', 'job_description': 'Versatile executive middleware', 'start_date': datetime.datetime(2016, 5, 4, 2, 49, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 16, 20, 30, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 8, 3, 4, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '702c7f5d-9f03-44b6-abe7-80152d25a6ac', 'end_date': datetime.datetime(2012, 6, 12, 18, 14, 39), 'start_time': datetime.datetime(2010, 6, 30, 3, 27, 1), 'rate': 2, 'updated_at': datetime.datetime(2014, 11, 23, 2, 53, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e58969c3-4de9-44dd-bced-4c9e22a08f82', 'job_description': 'Innovative value-added matrix', 'start_date': datetime.datetime(2019, 1, 10, 14, 8, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 12, 15, 42, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 10, 11, 11, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '097f1a7e-b352-49a5-8aaf-9fac2c7b2e0d', 'end_date': datetime.datetime(2018, 3, 7, 18, 20), 'start_time': datetime.datetime(2012, 7, 9, 17, 16, 23), 'rate': 2, 'updated_at': datetime.datetime(2010, 6, 26, 13, 32, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3167e39b-eef0-4627-b669-5e496691256b', 'job_description': 'Down-sized dedicated standardization', 'start_date': datetime.datetime(2013, 7, 20, 7, 40, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 21, 10, 32, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 11, 6, 45, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a04126d7-6654-4677-978d-23199748126c', 'end_date': datetime.datetime(2010, 9, 4, 20, 42, 10), 'start_time': datetime.datetime(2019, 9, 25, 5, 51, 39), 'rate': 5, 'updated_at': datetime.datetime(2011, 1, 28, 18, 2, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9cc4ab27-aac7-4529-9a07-f6ae3f293aef', 'job_description': 'Self-enabling national software', 'start_date': datetime.datetime(2016, 10, 24, 15, 25, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 29, 22, 32, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 2, 23, 41, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3227f5dc-b31b-4dc4-91a9-d6f67d366d8f', 'end_date': datetime.datetime(2012, 8, 7, 6, 11, 28), 'start_time': datetime.datetime(2017, 9, 27, 17, 43, 2), 'rate': 3, 'updated_at': datetime.datetime(2018, 12, 4, 5, 22, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9a26ab82-93ab-4622-8c7f-f16aa417445c', 'job_description': 'Customer-focused mobile projection', 'start_date': datetime.datetime(2019, 8, 21, 16, 9, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 14, 19, 12, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 5, 18, 46, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e0c22bfa-4702-4c49-8f1c-bb3de0825a83', 'end_date': datetime.datetime(2010, 3, 5, 4, 56, 5), 'start_time': datetime.datetime(2017, 9, 29, 18, 41, 48), 'rate': 4, 'updated_at': datetime.datetime(2016, 7, 10, 14, 16, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Oman', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2e14be32-e92f-4460-98ed-c95b206a68ed', 'job_description': 'Enterprise-wide client-server collaboration', 'start_date': datetime.datetime(2012, 2, 7, 3, 59, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 10, 18, 40, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 25, 0, 26, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '48e77c12-ddf1-4cd6-889f-276c8e71f30a', 'end_date': datetime.datetime(2010, 3, 10, 9, 21, 7), 'start_time': datetime.datetime(2013, 1, 31, 1, 46, 17), 'rate': 4, 'updated_at': datetime.datetime(2012, 11, 23, 8, 20, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '88acc9cf-1498-4eef-8c0c-196beade229a', 'job_description': 'Inverse foreground adapter', 'start_date': datetime.datetime(2011, 9, 26, 10, 12, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 21, 3, 8, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 8, 11, 17, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4716d601-c307-4e4f-a7dc-8c8b940af715', 'end_date': datetime.datetime(2012, 7, 3, 22, 21, 14), 'start_time': datetime.datetime(2012, 1, 17, 6, 17, 48), 'rate': 5, 'updated_at': datetime.datetime(2018, 10, 31, 22, 50, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '41bab096-d401-494d-97ab-5fd20e2b43e9', 'job_description': 'Synchronised eco-centric approach', 'start_date': datetime.datetime(2014, 10, 1, 8, 30, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 23, 1, 3, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 23, 10, 23, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ccdcbc79-3f2b-48fb-a9af-8aecd1dfcbe8', 'end_date': datetime.datetime(2013, 2, 1, 20, 45, 26), 'start_time': datetime.datetime(2012, 9, 10, 11, 54, 10), 'rate': 2, 'updated_at': datetime.datetime(2014, 8, 28, 20, 14, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c0d78e26-35ee-442d-b37d-e221f371a899', 'job_description': 'Function-based grid-enabled toolset', 'start_date': datetime.datetime(2011, 1, 5, 16, 5, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 10, 13, 54, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 12, 2, 32, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd756bcbc-907d-446a-ae26-82a843b66270', 'end_date': datetime.datetime(2010, 10, 12, 2, 8, 59), 'start_time': datetime.datetime(2012, 12, 5, 19, 16, 10), 'rate': 2, 'updated_at': datetime.datetime(2011, 12, 21, 5, 24, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Angola', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c38787b8-62f5-416c-8e6c-af48a710499d', 'job_description': 'Total global customer loyalty', 'start_date': datetime.datetime(2016, 3, 28, 8, 22, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 20, 22, 9, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 14, 22, 21, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1a962eec-3662-476b-8388-0353d0525356', 'end_date': datetime.datetime(2017, 2, 14, 0, 41, 40), 'start_time': datetime.datetime(2013, 8, 20, 8, 3, 22), 'rate': 3, 'updated_at': datetime.datetime(2016, 1, 14, 16, 50, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '12b4ef5d-b2a3-4b2e-9561-fa797abe4597', 'job_description': 'Phased foreground framework', 'start_date': datetime.datetime(2017, 4, 28, 19, 13, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 1, 15, 52, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 25, 12, 11, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ed578643-957d-43f9-bf62-5d2c66e193e5', 'end_date': datetime.datetime(2018, 5, 10, 16, 31, 17), 'start_time': datetime.datetime(2016, 3, 30, 14, 31, 5), 'rate': 5, 'updated_at': datetime.datetime(2016, 12, 29, 7, 33, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '700d2f78-b234-4055-b1bd-8de4cd5dc70e', 'job_description': 'Robust transitional adapter', 'start_date': datetime.datetime(2018, 9, 10, 6, 55, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 21, 4, 28, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 15, 1, 33, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b73e4260-ef8b-4e09-9451-dc8cf8f5d634', 'end_date': datetime.datetime(2011, 2, 20, 17, 50, 35), 'start_time': datetime.datetime(2017, 9, 27, 2, 6, 59), 'rate': 4, 'updated_at': datetime.datetime(2019, 3, 14, 5, 25, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Russian Federation', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '03bef69f-af65-4610-bc6e-8117426a7e76', 'job_description': 'Progressive content-based capability', 'start_date': datetime.datetime(2019, 1, 26, 17, 19, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 2, 7, 50, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 17, 8, 19, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'be03db6d-c39d-4432-bbe6-f035c8d12c52', 'end_date': datetime.datetime(2019, 11, 15, 11, 38, 21), 'start_time': datetime.datetime(2016, 1, 13, 11, 18, 50), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 2, 17, 17, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '519080dc-7a01-4960-9472-47d246571e27', 'job_description': 'Cloned local initiative', 'start_date': datetime.datetime(2017, 5, 8, 3, 13, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 16, 0, 42, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 26, 0, 0, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e671e720-8e05-4931-86ad-6fcdc53495f8', 'end_date': datetime.datetime(2018, 5, 31, 8, 54, 6), 'start_time': datetime.datetime(2014, 6, 20, 19, 6, 2), 'rate': 3, 'updated_at': datetime.datetime(2012, 3, 3, 18, 56, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '944bb87a-0e46-46a9-a4d5-826ba74c9435', 'job_description': 'Public-key regional alliance', 'start_date': datetime.datetime(2017, 3, 30, 9, 36, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 10, 2, 47, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 3, 6, 42, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7e24fbd3-de07-41ea-9056-d0adb73d858b', 'end_date': datetime.datetime(2018, 7, 24, 2, 52, 24), 'start_time': datetime.datetime(2016, 12, 3, 21, 22), 'rate': 1, 'updated_at': datetime.datetime(2017, 2, 11, 8, 29, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '16da402c-da01-42e2-b5c1-043672839641', 'job_description': 'Assimilated assymetric Graphical User Interface', 'start_date': datetime.datetime(2015, 1, 10, 23, 54, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 22, 21, 27, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 4, 18, 14, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1b8f1e2e-313d-4c7f-93b8-5fccbbe8c52a', 'end_date': datetime.datetime(2013, 6, 27, 23, 15, 32), 'start_time': datetime.datetime(2012, 1, 11, 16, 41, 34), 'rate': 4, 'updated_at': datetime.datetime(2019, 7, 5, 19, 50, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '696a1ca4-6c27-4a22-9bbc-edfc8122e9c0', 'job_description': 'Fundamental mission-critical capacity', 'start_date': datetime.datetime(2010, 3, 24, 21, 11, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 8, 15, 53, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 18, 14, 47, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '26f2f22b-07cd-4b14-a359-4e8f92e0e508', 'end_date': datetime.datetime(2019, 4, 27, 17, 5, 11), 'start_time': datetime.datetime(2017, 4, 27, 6, 37, 19), 'rate': 5, 'updated_at': datetime.datetime(2019, 7, 25, 2, 15, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bb10fb91-953a-4cf4-b2d7-c93d51f40840', 'job_description': 'Digitized clear-thinking array', 'start_date': datetime.datetime(2015, 11, 14, 20, 20, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 12, 15, 34, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 20, 6, 20, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '36cf081e-f051-443e-86c0-1269104308cc', 'end_date': datetime.datetime(2019, 11, 27, 1, 36, 10), 'start_time': datetime.datetime(2011, 8, 23, 4, 17, 45), 'rate': 2, 'updated_at': datetime.datetime(2017, 8, 6, 21, 30, 47), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3507b0c6-5db3-451d-a562-93147e9ad5bf', 'job_description': 'Cloned coherent moderator', 'start_date': datetime.datetime(2014, 8, 20, 6, 27, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 8, 23, 34, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 21, 0, 16, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6d36c00d-76d1-450c-8e8b-bcf4be0044c5', 'end_date': datetime.datetime(2017, 12, 22, 11, 54, 41), 'start_time': datetime.datetime(2018, 10, 8, 2, 14, 35), 'rate': 2, 'updated_at': datetime.datetime(2012, 12, 29, 10, 32, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4f3d99e1-93dc-469b-9f07-c0d60ada9539', 'job_description': 'Ergonomic object-oriented productivity', 'start_date': datetime.datetime(2018, 11, 25, 20, 14, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 9, 0, 41, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 16, 15, 18, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '785d747e-0757-4925-8c25-146317589f70', 'end_date': datetime.datetime(2015, 8, 10, 9, 23, 24), 'start_time': datetime.datetime(2016, 11, 13, 13, 22, 42), 'rate': 5, 'updated_at': datetime.datetime(2019, 6, 5, 2, 0, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '64122b03-de66-48ae-b8b0-ade49f5522ba', 'job_description': 'Fundamental bifurcated orchestration', 'start_date': datetime.datetime(2017, 3, 18, 6, 33, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 13, 16, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 6, 15, 36, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9676f015-c78e-4b30-80cc-e93b3dd72f72', 'end_date': datetime.datetime(2013, 9, 19, 20, 57, 22), 'start_time': datetime.datetime(2013, 4, 3, 9, 35, 28), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 13, 12, 47, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '82a2867a-ac93-45e8-b208-fd69e664d3f0', 'job_description': 'Grass-roots intangible concept', 'start_date': datetime.datetime(2016, 3, 4, 4, 50, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 13, 17, 8, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 31, 19, 14, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '076a9eb4-4d7f-4775-a729-e653af2e17aa', 'end_date': datetime.datetime(2010, 8, 28, 22, 11, 45), 'start_time': datetime.datetime(2012, 6, 17, 13, 12, 7), 'rate': 2, 'updated_at': datetime.datetime(2016, 12, 10, 15, 24, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '70451392-5501-47de-9bd5-b58347ac242f', 'job_description': 'Devolved executive process improvement', 'start_date': datetime.datetime(2016, 10, 4, 18, 47, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 13, 1, 23, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 4, 6, 34, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dfb1f650-4df5-4bf6-bc4a-1414d544eb38', 'end_date': datetime.datetime(2012, 2, 14, 3, 38, 17), 'start_time': datetime.datetime(2015, 4, 16, 20, 11, 13), 'rate': 5, 'updated_at': datetime.datetime(2013, 11, 10, 15, 35, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '352cee38-bd2a-404d-a50e-ea66de7ffdfc', 'job_description': 'Proactive bifurcated open architecture', 'start_date': datetime.datetime(2018, 12, 13, 20, 46, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 5, 11, 20, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 2, 5, 8, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '96007e22-474d-41cd-a3b9-4370392d7da9', 'end_date': datetime.datetime(2016, 9, 6, 4, 58, 13), 'start_time': datetime.datetime(2017, 9, 4, 19, 43, 47), 'rate': 3, 'updated_at': datetime.datetime(2016, 7, 13, 4, 35, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eb482517-990a-41ff-93f8-401f2818ed65', 'job_description': 'Digitized exuding budgetary management', 'start_date': datetime.datetime(2015, 9, 10, 20, 52, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 17, 15, 48, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 17, 3, 46, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8c40fe9f-78f9-4332-bcf7-5d6f5c080092', 'end_date': datetime.datetime(2015, 7, 19, 3, 35, 26), 'start_time': datetime.datetime(2014, 11, 28, 2, 16, 49), 'rate': 3, 'updated_at': datetime.datetime(2017, 5, 28, 21, 37, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6df89aba-db77-4e2f-90b9-787248051eed', 'job_description': 'Mandatory holistic structure', 'start_date': datetime.datetime(2017, 4, 14, 5, 26, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 10, 2, 41, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 1, 7, 0, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a64811ab-54c7-41fa-bff7-5732d469ea98', 'end_date': datetime.datetime(2014, 7, 15, 17, 37, 34), 'start_time': datetime.datetime(2019, 4, 9, 17, 20, 51), 'rate': 4, 'updated_at': datetime.datetime(2015, 6, 17, 7, 23, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5671087a-d679-46a5-963a-99d8c88837bb', 'job_description': 'Phased reciprocal synergy', 'start_date': datetime.datetime(2012, 8, 11, 2, 31, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 11, 3, 1, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 25, 8, 30, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dbe19ddb-c0ad-4a09-8310-d51dddd16f31', 'end_date': datetime.datetime(2011, 1, 13, 11, 49, 19), 'start_time': datetime.datetime(2019, 7, 19, 0, 43, 23), 'rate': 3, 'updated_at': datetime.datetime(2010, 11, 1, 13, 31, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '66c9662a-2eaf-49b0-8071-a6d275730981', 'job_description': 'Cloned optimizing moderator', 'start_date': datetime.datetime(2014, 7, 3, 20, 7, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 16, 5, 38, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 29, 21, 25, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f3e149be-1b6d-4263-a1b1-016cadbdf7c1', 'end_date': datetime.datetime(2013, 10, 8, 12, 58, 58), 'start_time': datetime.datetime(2016, 12, 22, 23, 13, 13), 'rate': 2, 'updated_at': datetime.datetime(2012, 3, 28, 16, 51, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4b62b4d2-36ec-49fe-ab48-81425b3f0aff', 'job_description': 'Streamlined content-based hierarchy', 'start_date': datetime.datetime(2019, 3, 16, 4, 30, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 29, 11, 26, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 24, 8, 20, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd545716f-4c7f-4116-9b00-bbc1db246c0a', 'end_date': datetime.datetime(2015, 5, 4, 9, 7, 45), 'start_time': datetime.datetime(2016, 7, 11, 13, 33, 19), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 26, 20, 45, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c23dc23-acec-451f-8d6d-4aabbbe94c7c', 'job_description': 'Realigned zero administration Graphic Interface', 'start_date': datetime.datetime(2019, 7, 8, 3, 20, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 11, 8, 20, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 8, 22, 28, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dcdc2b6a-644a-4239-b15a-7846920d0e41', 'end_date': datetime.datetime(2019, 6, 27, 4, 58, 35), 'start_time': datetime.datetime(2016, 10, 22, 14, 35, 31), 'rate': 3, 'updated_at': datetime.datetime(2014, 6, 30, 23, 47, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6fd81f93-f9b3-4dd1-ad1f-57e819476db6', 'job_description': 'Reverse-engineered real-time workforce', 'start_date': datetime.datetime(2014, 12, 19, 12, 29, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 1, 19, 26, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 23, 20, 34, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4aaee77d-7a71-4b5a-9319-653ac7a5abe8', 'end_date': datetime.datetime(2012, 12, 19, 12, 14, 35), 'start_time': datetime.datetime(2018, 2, 19, 0, 11, 45), 'rate': 5, 'updated_at': datetime.datetime(2019, 10, 16, 7, 25, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Holy See (Vatican City State)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dec77b5d-eeb1-4835-9f43-e7f4eb68b84e', 'job_description': 'Networked dedicated focus group', 'start_date': datetime.datetime(2012, 11, 25, 7, 38, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 28, 21, 7, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 6, 6, 55, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '36581f04-7ed1-43be-94b4-607c4bf5e6f8', 'end_date': datetime.datetime(2012, 6, 12, 19, 52, 12), 'start_time': datetime.datetime(2016, 11, 4, 3, 28, 53), 'rate': 4, 'updated_at': datetime.datetime(2018, 10, 15, 14, 22, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Germany', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5d62be18-0e14-4438-85a0-8555090ab047', 'job_description': 'Customer-focused client-server conglomeration', 'start_date': datetime.datetime(2018, 5, 15, 1, 51, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 5, 5, 12, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 15, 23, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b29f19d7-b278-4301-b728-b79584e2a3bb', 'end_date': datetime.datetime(2019, 8, 28, 15, 44, 17), 'start_time': datetime.datetime(2014, 4, 7, 5, 33), 'rate': 4, 'updated_at': datetime.datetime(2019, 11, 12, 11, 7, 50), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '21e4e264-b535-4671-8681-342802f9dab3', 'job_description': 'Seamless uniform definition', 'start_date': datetime.datetime(2019, 2, 15, 15, 56, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 11, 9, 41, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 29, 3, 6, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '39595dbc-c26d-4675-b372-8be54f5b74e5', 'end_date': datetime.datetime(2019, 6, 5, 15, 7, 35), 'start_time': datetime.datetime(2018, 7, 9, 7, 14, 52), 'rate': 2, 'updated_at': datetime.datetime(2010, 7, 3, 9, 34, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'baf33ff3-85da-4e50-9b3c-bbeb3029b845', 'job_description': 'Exclusive global architecture', 'start_date': datetime.datetime(2019, 8, 3, 14, 57, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 21, 8, 44, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 4, 9, 17, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '54f53710-3c83-4309-b172-49ef872e26fe', 'end_date': datetime.datetime(2010, 4, 22, 3, 41, 22), 'start_time': datetime.datetime(2018, 12, 13, 8, 39, 31), 'rate': 4, 'updated_at': datetime.datetime(2012, 5, 11, 20, 33, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e0a7bd2c-addc-4a8d-85b9-e505ac22f584', 'job_description': 'Multi-channelled 3rd generation architecture', 'start_date': datetime.datetime(2016, 2, 8, 4, 26, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 8, 15, 59, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 14, 22, 23, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eaec3100-27b1-4f60-8c82-084b1d74c1ac', 'end_date': datetime.datetime(2018, 8, 22, 13, 57), 'start_time': datetime.datetime(2018, 7, 1, 9, 27, 27), 'rate': 5, 'updated_at': datetime.datetime(2011, 11, 22, 9, 54, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fe3e4561-253f-45ba-8e13-9bdfc68928fe', 'job_description': 'Polarised static task-force', 'start_date': datetime.datetime(2015, 9, 17, 3, 11, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 28, 10, 12, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 12, 9, 54, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4f37cc8a-af01-4ec3-a21d-ac55e77a289d', 'end_date': datetime.datetime(2015, 5, 23, 19, 42, 26), 'start_time': datetime.datetime(2011, 8, 3, 17, 52, 9), 'rate': 2, 'updated_at': datetime.datetime(2012, 7, 12, 20, 11, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Serbia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'efc1411f-6731-4964-a718-fd31ee1c6f26', 'job_description': 'Public-key leading edge hub', 'start_date': datetime.datetime(2016, 5, 31, 11, 33, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 18, 6, 18, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 9, 17, 57, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '50140b85-d62c-40c4-98c0-57f0619df39d', 'end_date': datetime.datetime(2013, 1, 27, 7, 43, 51), 'start_time': datetime.datetime(2017, 2, 17, 19, 11, 57), 'rate': 5, 'updated_at': datetime.datetime(2018, 8, 7, 5, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7fd3ad45-c55f-4539-8e09-112ccdf2e34c', 'job_description': 'Versatile coherent toolset', 'start_date': datetime.datetime(2015, 10, 25, 22, 41, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 23, 4, 51, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 14, 2, 31, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '35aa0f19-099a-42e7-a2b0-7956aaec4fb5', 'end_date': datetime.datetime(2015, 2, 26, 20, 46, 43), 'start_time': datetime.datetime(2014, 2, 9, 7, 32, 50), 'rate': 4, 'updated_at': datetime.datetime(2014, 4, 5, 3, 2, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Czech Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c74ebf1-6571-4291-a2d1-14863c13e228', 'job_description': 'Multi-channelled client-server projection', 'start_date': datetime.datetime(2014, 12, 12, 22, 43, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 6, 8, 21, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 10, 12, 45, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf629784-6155-463e-8382-133a3cd18185', 'end_date': datetime.datetime(2014, 4, 15, 17, 3, 16), 'start_time': datetime.datetime(2012, 9, 7, 3, 17, 55), 'rate': 2, 'updated_at': datetime.datetime(2014, 4, 19, 6, 32, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cd05b3ce-4c3a-4b92-b383-954e8e274a6d', 'job_description': 'Open-source radical service-desk', 'start_date': datetime.datetime(2018, 4, 14, 6, 35, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 25, 12, 3, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 27, 10, 49, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '28f8c28e-b87e-4e78-8ef0-ebbfbcb95280', 'end_date': datetime.datetime(2010, 8, 14, 1, 16, 29), 'start_time': datetime.datetime(2017, 12, 6, 21, 44, 20), 'rate': 5, 'updated_at': datetime.datetime(2011, 11, 25, 17, 13, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e51c2b1c-85d9-4bec-92cf-65f2168e9c49', 'job_description': 'Adaptive well-modulated data-warehouse', 'start_date': datetime.datetime(2016, 4, 27, 3, 31, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 29, 17, 53, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 29, 3, 40, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3c964659-f06d-4273-b446-5b030cba7a2f', 'end_date': datetime.datetime(2011, 11, 5, 17, 0, 25), 'start_time': datetime.datetime(2016, 6, 8, 10, 28, 46), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 24, 22, 35, 33), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3a19f4ff-1983-47d7-9dff-04c113108adc', 'job_description': 'Reactive uniform website', 'start_date': datetime.datetime(2015, 10, 4, 12, 44, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 5, 11, 52, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 11, 23, 41, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6398fe75-40d2-40d7-bdb2-840f88515126', 'end_date': datetime.datetime(2010, 6, 20, 23, 0, 58), 'start_time': datetime.datetime(2011, 9, 10, 12, 34, 38), 'rate': 5, 'updated_at': datetime.datetime(2010, 12, 26, 11, 32, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Botswana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bf663f71-d976-43b0-84af-14a2ae7a2dec', 'job_description': 'Centralized upward-trending strategy', 'start_date': datetime.datetime(2014, 2, 2, 10, 19, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 31, 15, 17, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 21, 19, 25, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '32df5499-359b-437e-9f5d-dcb66847852b', 'end_date': datetime.datetime(2015, 12, 7, 4, 58, 33), 'start_time': datetime.datetime(2015, 6, 28, 14, 49, 20), 'rate': 4, 'updated_at': datetime.datetime(2014, 8, 5, 16, 31, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '680b8654-7a9e-42be-9627-c6a725bf7688', 'job_description': 'Sharable reciprocal support', 'start_date': datetime.datetime(2011, 10, 21, 16, 16, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 5, 13, 13, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 5, 19, 13, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '30053bc5-e8ce-4ce9-afb5-c0ca581ae9e6', 'end_date': datetime.datetime(2015, 6, 25, 22, 54, 38), 'start_time': datetime.datetime(2016, 12, 22, 8, 36, 15), 'rate': 5, 'updated_at': datetime.datetime(2011, 5, 27, 21, 41, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ca058c61-9423-4a0e-b361-722282db3784', 'job_description': 'Seamless fault-tolerant secured line', 'start_date': datetime.datetime(2017, 1, 9, 13, 18, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 28, 0, 1, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 30, 10, 31, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3645df6f-288a-4888-a79d-d643f8c7ceef', 'end_date': datetime.datetime(2019, 10, 20, 7, 53, 46), 'start_time': datetime.datetime(2019, 10, 11, 11, 13, 39), 'rate': 5, 'updated_at': datetime.datetime(2011, 8, 23, 14, 36, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ca3d59d5-73d2-4ee0-8863-c3f8b422d1ea', 'job_description': 'Focused high-level policy', 'start_date': datetime.datetime(2011, 10, 7, 19, 52, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 27, 4, 31, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 19, 9, 38, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fa4cf506-1fdc-42c6-b484-466d3fce5be2', 'end_date': datetime.datetime(2018, 5, 14, 15, 0, 30), 'start_time': datetime.datetime(2018, 1, 19, 10, 13, 33), 'rate': 4, 'updated_at': datetime.datetime(2012, 6, 3, 10, 50, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8ac4a476-3066-494b-810d-0b8a8645d3a4', 'job_description': 'Multi-layered asynchronous extranet', 'start_date': datetime.datetime(2018, 8, 18, 21, 24, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 26, 15, 56, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 7, 16, 33, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2cd2a546-8d31-4e37-961e-7c548006e346', 'end_date': datetime.datetime(2018, 12, 3, 1, 7, 35), 'start_time': datetime.datetime(2014, 10, 16, 21, 31, 54), 'rate': 1, 'updated_at': datetime.datetime(2011, 1, 21, 0, 58, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '65d719a4-b291-4447-96d8-bd2bb5ddb122', 'job_description': 'Stand-alone clear-thinking software', 'start_date': datetime.datetime(2019, 11, 8, 1, 52, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 31, 5, 25, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 19, 20, 2, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3b7dc93a-2d38-4f70-9de1-fb59eddfddba', 'end_date': datetime.datetime(2014, 7, 12, 20, 42, 12), 'start_time': datetime.datetime(2013, 9, 1, 13, 59, 38), 'rate': 1, 'updated_at': datetime.datetime(2016, 4, 17, 7, 3, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eba536b6-9df0-45f6-b68a-1eb1f2b79ddc', 'job_description': 'Persevering scalable success', 'start_date': datetime.datetime(2011, 10, 7, 14, 35, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 16, 19, 27, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 24, 3, 23, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '39af3ece-24cd-426b-b402-9b90bdfe7d32', 'end_date': datetime.datetime(2015, 9, 15, 18, 34, 14), 'start_time': datetime.datetime(2013, 1, 22, 21, 20, 10), 'rate': 2, 'updated_at': datetime.datetime(2010, 5, 1, 15, 26, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9681dc18-1a4e-4997-aafb-f820da3671fe', 'job_description': 'Focused multi-tasking time-frame', 'start_date': datetime.datetime(2013, 6, 19, 2, 6, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 9, 19, 33, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 26, 6, 54, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '02924c47-f346-44e1-906f-d7cd3dce8880', 'end_date': datetime.datetime(2017, 2, 21, 13, 17, 40), 'start_time': datetime.datetime(2010, 5, 12, 16, 55, 26), 'rate': 1, 'updated_at': datetime.datetime(2015, 9, 7, 21, 19, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'def6280b-e03d-4c36-8951-83effdf00e87', 'job_description': 'Stand-alone system-worthy paradigm', 'start_date': datetime.datetime(2019, 4, 18, 22, 47, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 18, 12, 40, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 20, 10, 53, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f3a22d94-b404-4974-89a7-b20e8007c58a', 'end_date': datetime.datetime(2017, 5, 16, 18, 44, 22), 'start_time': datetime.datetime(2017, 3, 6, 19, 20, 59), 'rate': 5, 'updated_at': datetime.datetime(2012, 9, 5, 9, 16, 30), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '65fdb442-e3c5-49fd-a1d5-b28a9c37316a', 'job_description': 'Fully-configurable secondary implementation', 'start_date': datetime.datetime(2013, 6, 3, 20, 53, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 1, 3, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 28, 4, 53, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '952f690e-5f30-4608-a3e6-421deca550eb', 'end_date': datetime.datetime(2015, 7, 30, 0, 0, 50), 'start_time': datetime.datetime(2018, 3, 14, 20, 34, 42), 'rate': 2, 'updated_at': datetime.datetime(2010, 8, 16, 1, 44, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7aada8e3-6686-44bb-b7d2-0c57dc6c3d06', 'job_description': 'Open-architected bi-directional knowledge base', 'start_date': datetime.datetime(2018, 10, 7, 18, 29, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 17, 9, 12, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 4, 23, 48, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ec49a01b-3043-43e1-90e4-0909d3aa5191', 'end_date': datetime.datetime(2014, 3, 13, 12, 19, 5), 'start_time': datetime.datetime(2012, 10, 7, 6, 57, 31), 'rate': 3, 'updated_at': datetime.datetime(2013, 6, 20, 11, 3, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '63a8f586-749c-4c8f-98ce-62791c7d6703', 'job_description': 'Devolved multi-state functionalities', 'start_date': datetime.datetime(2017, 11, 12, 8, 4, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 12, 6, 34, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 5, 10, 18, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '31a3e29a-1406-4edb-9778-de73d8160c2e', 'end_date': datetime.datetime(2013, 6, 10, 3, 28, 48), 'start_time': datetime.datetime(2014, 6, 19, 17, 46, 10), 'rate': 2, 'updated_at': datetime.datetime(2011, 6, 7, 1, 54, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c6eadd8c-492b-4c57-8fb0-59f60b75b3c0', 'job_description': 'Up-sized directional archive', 'start_date': datetime.datetime(2010, 6, 21, 23, 38, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 1, 7, 42, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 24, 8, 3, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cafd00dd-4c93-48c9-b000-75cbe1e0a72a', 'end_date': datetime.datetime(2017, 9, 10, 19, 47, 11), 'start_time': datetime.datetime(2015, 4, 9, 10, 31, 34), 'rate': 5, 'updated_at': datetime.datetime(2019, 4, 5, 7, 22, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e2f5f40f-8070-4a37-bff9-6467e2c287ee', 'job_description': 'Face to face bandwidth-monitored implementation', 'start_date': datetime.datetime(2011, 1, 5, 15, 8, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 1, 14, 47, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 27, 21, 1, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6acaa769-7f36-40c0-9996-b928a705e511', 'end_date': datetime.datetime(2013, 10, 11, 12, 26, 38), 'start_time': datetime.datetime(2010, 4, 29, 20, 43, 52), 'rate': 2, 'updated_at': datetime.datetime(2017, 2, 24, 6, 12, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cd7f8366-172b-4e37-9eb6-da72bc1dba1e', 'job_description': 'Right-sized asynchronous standardization', 'start_date': datetime.datetime(2011, 9, 1, 4, 27, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 31, 11, 46, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 16, 2, 49, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '29c50ce3-2a60-41e8-993c-fbe146f856f8', 'end_date': datetime.datetime(2015, 6, 9, 4, 14, 29), 'start_time': datetime.datetime(2017, 5, 16, 16, 33, 22), 'rate': 4, 'updated_at': datetime.datetime(2013, 1, 3, 17, 18, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f8ea2e5a-fb24-43db-aaed-bb27d3c63ea3', 'job_description': 'Down-sized interactive firmware', 'start_date': datetime.datetime(2011, 2, 4, 22, 52, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 27, 21, 33, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 4, 12, 22, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c0cfb810-d947-4a96-b1e7-9bc84a2e7a95', 'end_date': datetime.datetime(2015, 9, 6, 19, 43, 36), 'start_time': datetime.datetime(2014, 9, 19, 1, 18, 39), 'rate': 5, 'updated_at': datetime.datetime(2018, 2, 22, 23, 50, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c41f8883-27e9-4e84-a297-43ceee8b7663', 'job_description': 'Cloned needs-based utilisation', 'start_date': datetime.datetime(2019, 2, 22, 12, 58, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 21, 17, 45, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 20, 2, 7, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7c0e2a0e-8e8b-473d-9955-08f84c126955', 'end_date': datetime.datetime(2015, 11, 16, 8, 19, 21), 'start_time': datetime.datetime(2014, 12, 12, 13, 47, 42), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 19, 6, 34, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '109a5344-4888-4c5c-9924-9657b42c5f1d', 'job_description': 'Adaptive system-worthy system engine', 'start_date': datetime.datetime(2013, 10, 13, 22, 53, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 25, 7, 54, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 3, 17, 3, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4bb4b130-f3f9-4f06-879b-8434b3551745', 'end_date': datetime.datetime(2011, 5, 29, 20, 20, 18), 'start_time': datetime.datetime(2018, 3, 23, 23, 23, 8), 'rate': 3, 'updated_at': datetime.datetime(2015, 10, 5, 22, 11, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Bermuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '08c47a87-ad77-4256-9f96-2634030f2674', 'job_description': 'Self-enabling motivating capacity', 'start_date': datetime.datetime(2012, 9, 2, 14, 43, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 8, 19, 18, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 30, 18, 13, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '18e3a733-8040-4f37-8474-7853c7d81893', 'end_date': datetime.datetime(2015, 8, 12, 18, 38), 'start_time': datetime.datetime(2017, 5, 5, 21, 26, 25), 'rate': 4, 'updated_at': datetime.datetime(2015, 5, 17, 4, 13, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Heard Island and McDonald Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fa17d270-7eac-49d1-8246-cfa588792e8e', 'job_description': 'Proactive dynamic database', 'start_date': datetime.datetime(2019, 10, 21, 16, 59, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 13, 6, 38, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 2, 16, 3, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ff393ef7-5479-4a8f-a6c5-f66cde1391e7', 'end_date': datetime.datetime(2014, 3, 27, 6, 58, 27), 'start_time': datetime.datetime(2012, 2, 8, 3, 26, 29), 'rate': 3, 'updated_at': datetime.datetime(2016, 8, 21, 10, 52, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Martinique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b4a262eb-08b8-4e82-bafb-d881b3788811', 'job_description': 'Vision-oriented stable time-frame', 'start_date': datetime.datetime(2012, 12, 10, 6, 16, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 31, 9, 51, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 6, 18, 4, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '65c0584b-dff5-4ca1-88a0-70b5e51914bd', 'end_date': datetime.datetime(2016, 8, 4, 9, 2, 4), 'start_time': datetime.datetime(2018, 7, 28, 12, 37, 28), 'rate': 4, 'updated_at': datetime.datetime(2011, 11, 9, 7, 43, 5), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '42907429-7035-42f6-b1f3-51eec95dd431', 'job_description': 'Profound zero defect portal', 'start_date': datetime.datetime(2010, 6, 2, 12, 15, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 16, 20, 45, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 3, 21, 33, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b18e410e-ccba-4354-aa15-54a3c5d33a6b', 'end_date': datetime.datetime(2017, 6, 27, 10, 43), 'start_time': datetime.datetime(2012, 1, 14, 17, 23, 23), 'rate': 4, 'updated_at': datetime.datetime(2013, 2, 28, 23, 27, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '05e36bb8-b9ab-4edd-a753-dee639925f47', 'job_description': 'Robust radical strategy', 'start_date': datetime.datetime(2017, 12, 27, 0, 9, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 2, 17, 14, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 15, 15, 32, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e91ad061-1d43-46cc-ad59-019e7ffc5636', 'end_date': datetime.datetime(2010, 5, 22, 1, 7, 7), 'start_time': datetime.datetime(2011, 1, 2, 22, 22, 23), 'rate': 2, 'updated_at': datetime.datetime(2019, 10, 15, 21, 53, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Belgium', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '519667a8-09f2-4519-8882-5190c7c741f1', 'job_description': 'Optimized heuristic service-desk', 'start_date': datetime.datetime(2012, 4, 7, 9, 15, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 12, 4, 27, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 10, 21, 57, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '34ddb42c-fe83-45a7-a96a-ada079b1cc8b', 'end_date': datetime.datetime(2017, 12, 31, 9, 36, 13), 'start_time': datetime.datetime(2018, 9, 20, 9, 40, 27), 'rate': 3, 'updated_at': datetime.datetime(2010, 7, 19, 4, 37, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '296143a5-264f-470a-90ea-6996ab1d4d60', 'job_description': 'Integrated bandwidth-monitored superstructure', 'start_date': datetime.datetime(2016, 10, 4, 16, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 19, 5, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 24, 2, 24, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2ef54318-2d0e-4599-b82b-ea1b2b5c400d', 'end_date': datetime.datetime(2013, 1, 13, 22, 22, 7), 'start_time': datetime.datetime(2016, 1, 22, 2, 4, 49), 'rate': 2, 'updated_at': datetime.datetime(2017, 10, 16, 9, 0, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '57825e1f-e290-4f56-9bcb-e536301adf0f', 'job_description': 'Synchronised well-modulated focus group', 'start_date': datetime.datetime(2011, 8, 4, 13, 52, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 12, 0, 33, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 4, 15, 49, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a11a214-1e30-4ef0-956a-39793ea686f7', 'end_date': datetime.datetime(2013, 11, 18, 6, 35, 37), 'start_time': datetime.datetime(2012, 11, 4, 0, 21, 52), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 23, 0, 44, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cc7f4285-f44d-45eb-8753-e40e800031a1', 'job_description': 'Cloned foreground focus group', 'start_date': datetime.datetime(2015, 4, 25, 11, 4, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 6, 9, 26, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 15, 22, 22, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4cf304c6-d827-4f4c-bd42-5c3355c50c89', 'end_date': datetime.datetime(2017, 10, 28, 1, 48, 55), 'start_time': datetime.datetime(2017, 3, 24, 9, 42, 46), 'rate': 3, 'updated_at': datetime.datetime(2014, 5, 16, 2, 42, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd859b88f-7500-4ab3-b1f5-0303ea207d41', 'job_description': 'Public-key user-facing architecture', 'start_date': datetime.datetime(2015, 5, 5, 11, 19, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 13, 22, 56, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 10, 6, 19, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e7b350d4-d72e-432e-8d01-5d72aa50a6e5', 'end_date': datetime.datetime(2018, 11, 22, 6, 38, 45), 'start_time': datetime.datetime(2014, 4, 6, 5, 23, 57), 'rate': 3, 'updated_at': datetime.datetime(2010, 12, 18, 21, 24, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b0ab4fd9-1d05-4a7d-9847-f81f65fd253a', 'job_description': 'Up-sized holistic task-force', 'start_date': datetime.datetime(2018, 10, 23, 22, 30, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 27, 2, 26, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 19, 10, 37, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7113c761-dc32-4baf-a35c-b444cee0f738', 'end_date': datetime.datetime(2010, 11, 1, 20, 35, 58), 'start_time': datetime.datetime(2018, 4, 23, 16, 14, 42), 'rate': 1, 'updated_at': datetime.datetime(2015, 5, 21, 21, 46, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2e380869-6ac4-400f-ba68-d5d982b5e041', 'job_description': 'Advanced value-added monitoring', 'start_date': datetime.datetime(2011, 5, 22, 8, 16, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 17, 20, 41, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 23, 11, 31, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8b87a9da-b89c-42ca-9637-e53e615133a9', 'end_date': datetime.datetime(2011, 1, 27, 5, 0, 35), 'start_time': datetime.datetime(2010, 10, 15, 14, 34, 23), 'rate': 5, 'updated_at': datetime.datetime(2014, 8, 13, 22, 57, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '905dfd0a-5b82-41e3-a791-a8ba4583c9fd', 'job_description': 'Extended human-resource benchmark', 'start_date': datetime.datetime(2014, 10, 11, 7, 16, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 11, 14, 14, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 27, 20, 9, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3964e1da-369c-4437-a82a-0b70efd24259', 'end_date': datetime.datetime(2019, 1, 13, 1, 7, 13), 'start_time': datetime.datetime(2018, 7, 11, 13, 41, 54), 'rate': 3, 'updated_at': datetime.datetime(2011, 3, 24, 3, 2, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Peru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '75463c32-4b9f-437c-82f5-e49f0a3a92a4', 'job_description': 'Automated bi-directional methodology', 'start_date': datetime.datetime(2019, 7, 14, 6, 11, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 28, 8, 41, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 5, 1, 2, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '130f1136-7d69-4d40-9b45-2299e6c24786', 'end_date': datetime.datetime(2018, 10, 31, 22, 25, 19), 'start_time': datetime.datetime(2016, 2, 19, 23, 18, 5), 'rate': 1, 'updated_at': datetime.datetime(2018, 7, 30, 5, 5, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7d9e68b2-5962-4dbd-a65f-71258dde8fa9', 'job_description': 'Ameliorated 3rd generation paradigm', 'start_date': datetime.datetime(2011, 12, 24, 15, 3, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 17, 9, 27, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 1, 19, 9, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '85228780-a982-4a30-b6dc-f555594734f6', 'end_date': datetime.datetime(2011, 6, 17, 16, 44, 5), 'start_time': datetime.datetime(2017, 8, 4, 20, 20, 58), 'rate': 1, 'updated_at': datetime.datetime(2019, 9, 8, 17, 9, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e256ea31-d289-414a-989d-b7d850e5a1da', 'job_description': 'Operative motivating success', 'start_date': datetime.datetime(2010, 2, 28, 1, 23, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 15, 0, 42, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 30, 12, 32, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9d1dfad3-8d05-4054-aa22-1973b3ff473e', 'end_date': datetime.datetime(2014, 2, 23, 19, 24, 33), 'start_time': datetime.datetime(2014, 7, 27, 13, 44, 54), 'rate': 2, 'updated_at': datetime.datetime(2011, 5, 28, 3, 30, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Isle of Man', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '79b3c29d-919b-4ebc-8dea-6b301fd47c58', 'job_description': 'Implemented optimizing contingency', 'start_date': datetime.datetime(2016, 2, 17, 9, 22, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 28, 18, 4, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 16, 10, 44, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e2aee08-a158-4a5a-9efa-c606ae9b15d7', 'end_date': datetime.datetime(2017, 11, 22, 6, 14, 39), 'start_time': datetime.datetime(2011, 9, 6, 22, 48, 31), 'rate': 1, 'updated_at': datetime.datetime(2012, 7, 13, 14, 24, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Tuvalu', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b113ac8f-c109-40c2-b337-d1a53574f87d', 'job_description': 'Public-key secondary knowledge user', 'start_date': datetime.datetime(2011, 1, 10, 5, 37, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 18, 7, 18, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 19, 6, 15, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '69f7d618-8f88-4044-aa45-5c6a367da41c', 'end_date': datetime.datetime(2010, 3, 12, 22, 58, 20), 'start_time': datetime.datetime(2017, 2, 11, 0, 33, 56), 'rate': 5, 'updated_at': datetime.datetime(2018, 2, 19, 4, 15, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4b702a79-0911-4341-8b90-a9c9bfd539c3', 'job_description': 'Mandatory local superstructure', 'start_date': datetime.datetime(2017, 1, 4, 13, 1, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 2, 4, 3, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 22, 10, 42, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6ced7687-742e-4087-89ca-d64031328022', 'end_date': datetime.datetime(2015, 5, 24, 20, 38, 58), 'start_time': datetime.datetime(2012, 8, 5, 14, 33, 45), 'rate': 2, 'updated_at': datetime.datetime(2016, 11, 23, 18, 54, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': '38bb4322-4fbc-4ff6-b7cb-7fb7a938a64c', 'job_description': 'Self-enabling bi-directional open system', 'start_date': datetime.datetime(2012, 1, 21, 10, 49, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 24, 9, 53, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 5, 3, 26, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6477b736-4f34-44d0-bd2c-334c3a350e11', 'end_date': datetime.datetime(2013, 6, 7, 3, 31, 6), 'start_time': datetime.datetime(2012, 10, 24, 1, 7, 5), 'rate': 1, 'updated_at': datetime.datetime(2017, 3, 19, 18, 24, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7ba3d04f-1503-43a9-91e9-abbef1d1a9b7', 'job_description': 'Reduced methodical conglomeration', 'start_date': datetime.datetime(2012, 10, 6, 10, 31, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 29, 16, 34, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 12, 18, 49, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'db878bd8-a406-4c63-904f-4d95cc5e2412', 'end_date': datetime.datetime(2012, 7, 20, 15, 48, 44), 'start_time': datetime.datetime(2012, 1, 27, 5, 46, 45), 'rate': 2, 'updated_at': datetime.datetime(2016, 6, 26, 17, 41, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b9fc4897-0c86-4d7a-960c-5dafee4f7dc5', 'job_description': 'Realigned exuding artificial intelligence', 'start_date': datetime.datetime(2018, 7, 9, 20, 8, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 10, 5, 36, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 1, 21, 12, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '20c23dd9-1a1e-4b88-8e07-79ae28d575de', 'end_date': datetime.datetime(2011, 4, 21, 3, 55, 47), 'start_time': datetime.datetime(2010, 10, 6, 10, 42, 58), 'rate': 4, 'updated_at': datetime.datetime(2019, 4, 25, 4, 42, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': '5641f5d2-00b8-450d-abff-da857762d1ec', 'job_description': 'Robust non-volatile productivity', 'start_date': datetime.datetime(2017, 4, 1, 3, 13, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 21, 12, 44, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 10, 4, 43, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '78d3a348-56c1-438f-b2c1-2b88cdfd9360', 'end_date': datetime.datetime(2013, 4, 5, 13, 5, 13), 'start_time': datetime.datetime(2017, 2, 17, 20, 13, 15), 'rate': 4, 'updated_at': datetime.datetime(2013, 11, 5, 19, 2, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e85a0952-551b-4df9-adad-c9a9916bf32a', 'job_description': 'Re-contextualized multi-state parallelism', 'start_date': datetime.datetime(2012, 7, 9, 2, 40, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 25, 15, 36, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 28, 11, 29, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b1f8bd72-6b8a-44b2-93c5-c06db61904ec', 'end_date': datetime.datetime(2010, 9, 1, 21, 12, 9), 'start_time': datetime.datetime(2013, 10, 2, 16, 49, 13), 'rate': 5, 'updated_at': datetime.datetime(2010, 1, 28, 7, 34, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Montserrat', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e91868ca-dd35-4ccb-bfbb-ac1908dfe288', 'job_description': 'Polarised logistical moratorium', 'start_date': datetime.datetime(2011, 10, 28, 10, 50, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 14, 6, 59, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 11, 13, 17, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3351ac61-19bb-41ef-99fa-693a78002078', 'end_date': datetime.datetime(2016, 5, 16, 16, 23, 23), 'start_time': datetime.datetime(2011, 3, 15, 9, 0, 25), 'rate': 4, 'updated_at': datetime.datetime(2010, 5, 18, 12, 31, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4e698773-dbae-4ff1-ac12-4f21da0468af', 'job_description': 'Cross-platform fresh-thinking archive', 'start_date': datetime.datetime(2011, 8, 19, 13, 24, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 31, 23, 57, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 23, 10, 29, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '92620b96-012c-4c41-a1df-493217c3fc81', 'end_date': datetime.datetime(2016, 8, 20, 4, 55, 25), 'start_time': datetime.datetime(2019, 3, 12, 7, 29, 16), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 13, 13, 32, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'af39a877-e281-4d2b-b169-db0d8f687c75', 'job_description': 'Implemented bandwidth-monitored info-mediaries', 'start_date': datetime.datetime(2014, 5, 16, 13, 4, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 3, 9, 21, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 22, 20, 40, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f98d1e97-bc35-49af-8489-6c176979be1b', 'end_date': datetime.datetime(2011, 2, 2, 5, 30, 56), 'start_time': datetime.datetime(2011, 12, 20, 5, 53, 6), 'rate': 4, 'updated_at': datetime.datetime(2012, 5, 1, 6, 40, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9237a7b5-7c65-4606-856f-b71e761ef5d6', 'job_description': 'Progressive motivating Graphic Interface', 'start_date': datetime.datetime(2010, 4, 14, 4, 38, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 8, 18, 43, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 18, 4, 27, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6f196e39-4d42-4803-b52e-2141c49dfbcf', 'end_date': datetime.datetime(2017, 12, 8, 2, 35, 8), 'start_time': datetime.datetime(2012, 10, 6, 18, 48, 26), 'rate': 2, 'updated_at': datetime.datetime(2013, 9, 16, 22, 9, 9), 'job_title': 'CoffeeMaker', 'service_id': 'New Caledonia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e64f9da-5427-4ec5-8a97-dde93d5dcdf1', 'job_description': 'Implemented client-driven application', 'start_date': datetime.datetime(2014, 5, 20, 19, 36, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 15, 14, 8, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 10, 8, 54, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '56282dae-1acf-49ab-9bfc-ae6bdc8d50d7', 'end_date': datetime.datetime(2011, 10, 19, 11, 10, 8), 'start_time': datetime.datetime(2017, 9, 24, 13, 38, 5), 'rate': 2, 'updated_at': datetime.datetime(2010, 3, 6, 6, 55, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'abfa7156-d644-4eb1-bd6e-c3273a34febb', 'job_description': 'Fundamental dynamic strategy', 'start_date': datetime.datetime(2015, 4, 6, 7, 43, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 6, 0, 31, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 10, 11, 51, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bb74ac47-0948-481e-a112-7fd949eb3890', 'end_date': datetime.datetime(2018, 6, 25, 5, 12, 6), 'start_time': datetime.datetime(2012, 2, 11, 15, 5, 6), 'rate': 3, 'updated_at': datetime.datetime(2018, 9, 2, 5, 4, 25), 'job_title': 'CoffeeMaker', 'service_id': 'India', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bbe09541-148e-4d01-ac92-308bce16ef58', 'job_description': 'Secured maximized help-desk', 'start_date': datetime.datetime(2013, 10, 5, 23, 25, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 26, 16, 35, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 9, 22, 19, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '767c43cf-0550-4429-a613-53953581abde', 'end_date': datetime.datetime(2018, 1, 1, 4, 40, 48), 'start_time': datetime.datetime(2015, 8, 29, 2, 53, 35), 'rate': 3, 'updated_at': datetime.datetime(2019, 7, 27, 19, 39, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de081adc-82cb-4c42-a349-fec2a9a68f62', 'job_description': 'Compatible directional toolset', 'start_date': datetime.datetime(2015, 3, 12, 12, 56, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 17, 21, 8, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 15, 10, 14, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2226e13-dc6f-49e8-93fd-eab6b45e5244', 'end_date': datetime.datetime(2016, 6, 12, 1, 18, 36), 'start_time': datetime.datetime(2018, 6, 1, 0, 45, 47), 'rate': 2, 'updated_at': datetime.datetime(2017, 1, 10, 4, 12, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Puerto Rico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4f8badb3-9999-4a87-add8-c6d99a3068db', 'job_description': 'Open-source high-level installation', 'start_date': datetime.datetime(2015, 12, 7, 22, 56, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 5, 20, 19, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 10, 9, 14, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ec316011-b319-42a8-b1a6-df863caccdf4', 'end_date': datetime.datetime(2011, 10, 19, 19, 30, 49), 'start_time': datetime.datetime(2015, 11, 28, 19, 1, 14), 'rate': 3, 'updated_at': datetime.datetime(2017, 3, 31, 2, 47, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eca8b9d5-8af0-4bab-a90b-8a78bf5fee1a', 'job_description': 'Future-proofed tangible knowledge user', 'start_date': datetime.datetime(2015, 6, 1, 5, 21, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 17, 17, 56, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 15, 17, 55, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '32174700-491e-443c-b934-e3b7c5367428', 'end_date': datetime.datetime(2018, 3, 16, 13, 38, 20), 'start_time': datetime.datetime(2011, 4, 8, 15, 17, 31), 'rate': 5, 'updated_at': datetime.datetime(2015, 9, 3, 11, 52, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '115de868-2305-4d0f-acd1-d0ff79345315', 'job_description': 'Operative heuristic synergy', 'start_date': datetime.datetime(2019, 5, 29, 4, 13, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 17, 19, 7, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 19, 21, 46, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'db6fa2a5-b5cc-4ca8-9de5-57086a110619', 'end_date': datetime.datetime(2014, 12, 15, 17, 52, 43), 'start_time': datetime.datetime(2016, 5, 15, 7, 48, 23), 'rate': 2, 'updated_at': datetime.datetime(2011, 1, 31, 14, 19, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3b59defe-7ad2-42a2-a116-71a8171a0ddb', 'job_description': 'Vision-oriented impactful leverage', 'start_date': datetime.datetime(2018, 1, 9, 23, 47, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 26, 23, 13, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 15, 2, 15, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c7c7af27-13a6-4a87-8008-2c6be0af2558', 'end_date': datetime.datetime(2010, 5, 21, 9, 28, 9), 'start_time': datetime.datetime(2016, 3, 13, 14, 20, 10), 'rate': 4, 'updated_at': datetime.datetime(2013, 9, 13, 18, 45, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8cf1ad33-aa50-4f51-ae19-56c4144e44ba', 'job_description': 'Phased leading edge info-mediaries', 'start_date': datetime.datetime(2014, 4, 6, 23, 7, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 20, 6, 37, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 11, 8, 22, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea3568f8-7a69-492b-ab97-dc3ad19d39a0', 'end_date': datetime.datetime(2018, 1, 13, 15, 45, 22), 'start_time': datetime.datetime(2010, 3, 20, 2, 27, 41), 'rate': 2, 'updated_at': datetime.datetime(2017, 6, 27, 7, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '535b55fa-7039-402d-b963-24fb326b7875', 'job_description': 'Pre-emptive impactful workforce', 'start_date': datetime.datetime(2016, 6, 29, 12, 58, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 3, 2, 0, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 24, 9, 1, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '60390bf2-b737-45fc-ae65-600fd76b7850', 'end_date': datetime.datetime(2016, 7, 15, 15, 58, 54), 'start_time': datetime.datetime(2010, 12, 5, 13, 26, 36), 'rate': 2, 'updated_at': datetime.datetime(2010, 3, 11, 12, 0, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3bb8385e-6ca3-4eb8-aa21-428c28dd9fab', 'job_description': 'Proactive discrete benchmark', 'start_date': datetime.datetime(2012, 5, 1, 19, 5, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 17, 15, 44, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 3, 18, 57, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7d01a35f-a34c-4c0c-8d0a-6bf64363a79c', 'end_date': datetime.datetime(2016, 3, 24, 12, 43, 7), 'start_time': datetime.datetime(2015, 4, 14, 0, 42, 23), 'rate': 2, 'updated_at': datetime.datetime(2017, 10, 1, 11, 34, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3ebcfcf6-9e9f-4058-a8fa-d9cd993b2b7f', 'job_description': 'Object-based holistic collaboration', 'start_date': datetime.datetime(2016, 5, 17, 14, 58, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 21, 21, 0, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 11, 12, 50, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd46f662a-5eac-41b4-b361-0c0b2f96c880', 'end_date': datetime.datetime(2010, 6, 3, 15, 36, 22), 'start_time': datetime.datetime(2011, 7, 3, 3, 6, 38), 'rate': 2, 'updated_at': datetime.datetime(2010, 4, 14, 20, 59, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8d0f97c4-8c8d-4e20-a67d-101b2bbee974', 'job_description': 'Versatile even-keeled help-desk', 'start_date': datetime.datetime(2015, 3, 30, 14, 32, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 4, 4, 57, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 7, 4, 12, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4a2125bd-8a7b-4f3a-8772-d438d98169bb', 'end_date': datetime.datetime(2015, 9, 1, 10, 44, 23), 'start_time': datetime.datetime(2011, 6, 10, 4, 25, 23), 'rate': 3, 'updated_at': datetime.datetime(2019, 5, 22, 23, 26, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c8f2b6e-97f1-43b7-a910-cb3b7e935c12', 'job_description': 'Compatible 24/7 adapter', 'start_date': datetime.datetime(2016, 7, 25, 5, 28, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 21, 23, 0, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 8, 3, 33, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d7fc972-e572-4d41-a1e1-5efb0ad33705', 'end_date': datetime.datetime(2011, 3, 12, 2, 29, 55), 'start_time': datetime.datetime(2018, 12, 6, 5, 25, 8), 'rate': 4, 'updated_at': datetime.datetime(2013, 11, 6, 18, 36, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '45fe99d5-9437-4675-98d9-b507aa1f19c3', 'job_description': 'Re-engineered interactive matrix', 'start_date': datetime.datetime(2013, 3, 27, 7, 37, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 1, 3, 43, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 13, 8, 13, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'daf840e2-604a-4e6e-baea-c8efeb0c5ef5', 'end_date': datetime.datetime(2017, 10, 4, 22, 53, 46), 'start_time': datetime.datetime(2019, 8, 25, 21, 30, 23), 'rate': 2, 'updated_at': datetime.datetime(2018, 2, 7, 14, 15, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '65176d2f-e0e4-4a77-8e11-31685b920796', 'job_description': 'Configurable assymetric open architecture', 'start_date': datetime.datetime(2015, 5, 5, 7, 43, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 7, 11, 36, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 31, 0, 37, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '03683f44-3ac3-433d-92bb-4510b2e11302', 'end_date': datetime.datetime(2018, 11, 2, 22, 33, 26), 'start_time': datetime.datetime(2017, 4, 22, 12, 0, 19), 'rate': 2, 'updated_at': datetime.datetime(2014, 12, 18, 14, 21, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Antarctica (the territory South of 60 deg S)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b3dc9152-bc98-404c-b4b9-fa6a6301c911', 'job_description': 'Advanced system-worthy firmware', 'start_date': datetime.datetime(2019, 6, 25, 20, 22, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 27, 20, 40, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 18, 16, 43, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8ce76a73-2a7a-4958-afb8-50b1d6793602', 'end_date': datetime.datetime(2013, 4, 27, 16, 37, 45), 'start_time': datetime.datetime(2018, 6, 4, 4, 53, 54), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 11, 19, 8, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'af7c1a1e-1091-40ff-8543-bb598725dbac', 'job_description': 'Multi-tiered systematic data-warehouse', 'start_date': datetime.datetime(2019, 5, 25, 5, 47, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 22, 18, 41, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 6, 21, 12, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a8c99cb1-73cc-483e-8729-d0a3d40813d2', 'end_date': datetime.datetime(2015, 5, 19, 5, 34, 28), 'start_time': datetime.datetime(2019, 2, 4, 15, 5, 30), 'rate': 2, 'updated_at': datetime.datetime(2017, 5, 8, 3, 57, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '448cc44a-fd6c-4349-96ff-f0373dd2f666', 'job_description': 'Synergistic foreground implementation', 'start_date': datetime.datetime(2017, 5, 30, 21, 34, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 7, 0, 21, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 22, 22, 10, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2462bca9-7bfe-4fc5-a6da-a25c4df85526', 'end_date': datetime.datetime(2017, 9, 28, 22, 17, 41), 'start_time': datetime.datetime(2015, 3, 9, 21, 52, 42), 'rate': 1, 'updated_at': datetime.datetime(2011, 10, 10, 10, 34, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ed8b3cfa-8ecf-4952-9f4d-92ae0c041744', 'job_description': 'Ergonomic reciprocal matrix', 'start_date': datetime.datetime(2014, 12, 15, 6, 49, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 4, 16, 3, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 13, 12, 25, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '58419bdd-721c-472b-96cf-84a0c471b2e4', 'end_date': datetime.datetime(2012, 11, 2, 2, 34, 21), 'start_time': datetime.datetime(2011, 3, 18, 23, 0, 21), 'rate': 2, 'updated_at': datetime.datetime(2010, 8, 5, 1, 30, 39), 'job_title': 'CoffeeMaker', 'service_id': 'South Africa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '39c70597-efb2-436c-93b2-622b6664b250', 'job_description': 'Enterprise-wide responsive orchestration', 'start_date': datetime.datetime(2015, 8, 26, 18, 29, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 27, 7, 24, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 11, 3, 50, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b6978f4f-6657-4790-ad9f-8aa7ee950c2b', 'end_date': datetime.datetime(2011, 12, 27, 3, 15, 37), 'start_time': datetime.datetime(2013, 5, 1, 3, 33, 47), 'rate': 3, 'updated_at': datetime.datetime(2016, 6, 17, 0, 6, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5191d9da-d2ed-4b48-b396-f6b72c1a63c7', 'job_description': 'Multi-layered context-sensitive policy', 'start_date': datetime.datetime(2017, 7, 1, 3, 49, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 20, 17, 30, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 12, 17, 39, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0781f5a1-0ac7-4548-8ba2-217df7a295b2', 'end_date': datetime.datetime(2015, 10, 18, 3, 23, 8), 'start_time': datetime.datetime(2019, 10, 15, 15, 9, 4), 'rate': 3, 'updated_at': datetime.datetime(2017, 5, 20, 18, 37, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '48b85b40-d6d5-445e-ad8a-2da89d6707ac', 'job_description': 'Managed object-oriented firmware', 'start_date': datetime.datetime(2014, 1, 11, 20, 6, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 7, 10, 54, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 8, 14, 48, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd838be09-65a0-4264-8183-5bbbf20859d8', 'end_date': datetime.datetime(2012, 5, 9, 9, 42, 16), 'start_time': datetime.datetime(2015, 1, 15, 15, 34, 41), 'rate': 5, 'updated_at': datetime.datetime(2019, 3, 10, 9, 22, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '136b3af6-d8cc-47a9-bc58-57a1f35ffd8a', 'job_description': 'Focused mobile moratorium', 'start_date': datetime.datetime(2017, 8, 15, 23, 13, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 2, 6, 30, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 1, 17, 7, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'db0bd099-dc10-4232-8419-48540390c0be', 'end_date': datetime.datetime(2011, 3, 10, 10, 26, 35), 'start_time': datetime.datetime(2014, 6, 30, 9, 59, 2), 'rate': 3, 'updated_at': datetime.datetime(2018, 8, 9, 11, 54, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eb4e549b-f38e-484d-8fba-33e115540355', 'job_description': 'User-centric multi-state open system', 'start_date': datetime.datetime(2016, 3, 25, 10, 59, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 27, 16, 51, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 15, 20, 36, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a7b61a27-020f-42f3-aa0f-4b676e8957a3', 'end_date': datetime.datetime(2013, 4, 6, 22, 26, 58), 'start_time': datetime.datetime(2010, 6, 14, 7, 32), 'rate': 5, 'updated_at': datetime.datetime(2011, 4, 20, 17, 54, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '13c5896f-1a59-4387-9caa-19600dedc980', 'job_description': 'Cloned interactive collaboration', 'start_date': datetime.datetime(2012, 3, 8, 14, 1, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 22, 5, 22, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 11, 23, 14, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a8ef8f8-bb16-4db4-8fb2-e4a3a7c47a9b', 'end_date': datetime.datetime(2011, 2, 27, 17, 13, 24), 'start_time': datetime.datetime(2010, 12, 28, 14, 17, 16), 'rate': 4, 'updated_at': datetime.datetime(2013, 12, 25, 0, 12, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ca24b8b-1c44-41ff-b35a-1f068595c489', 'job_description': 'Multi-lateral discrete knowledge base', 'start_date': datetime.datetime(2019, 9, 30, 10, 18, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 23, 19, 25, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 12, 20, 22, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9e404da1-c80a-4794-a0fc-0d3a1ce9f015', 'end_date': datetime.datetime(2014, 2, 16, 3, 1), 'start_time': datetime.datetime(2013, 2, 11, 0, 47, 59), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 26, 23, 9, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fb234504-db10-48b4-8e1b-5c4ed30e3947', 'job_description': 'Automated next generation moratorium', 'start_date': datetime.datetime(2015, 12, 19, 10, 21, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 2, 19, 8, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 11, 5, 8, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '09a1583a-42b5-4222-8026-07bee507acae', 'end_date': datetime.datetime(2016, 7, 14, 0, 39, 53), 'start_time': datetime.datetime(2016, 9, 1, 6, 30, 51), 'rate': 2, 'updated_at': datetime.datetime(2019, 5, 22, 6, 42, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cb0ebe51-a022-461e-bc90-0c7f1fd5148b', 'job_description': 'Devolved interactive policy', 'start_date': datetime.datetime(2018, 12, 23, 0, 27, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 25, 7, 27, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 15, 11, 35, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dfd0ebb0-f9c1-4707-8f61-d5127614c0d2', 'end_date': datetime.datetime(2013, 8, 12, 20, 50, 51), 'start_time': datetime.datetime(2010, 5, 4, 17, 37, 55), 'rate': 1, 'updated_at': datetime.datetime(2014, 11, 21, 2, 12, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a72378d8-453d-496c-94c5-bd3cc4726197', 'job_description': 'Ameliorated bifurcated data-warehouse', 'start_date': datetime.datetime(2017, 1, 24, 12, 11, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 4, 5, 25, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 9, 2, 12, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5f58e721-fb3a-450c-8bda-82fd49474de6', 'end_date': datetime.datetime(2013, 7, 2, 21, 2, 23), 'start_time': datetime.datetime(2013, 1, 4, 17, 26, 40), 'rate': 5, 'updated_at': datetime.datetime(2017, 2, 27, 8, 58, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78b23b0c-1890-4f53-b828-f943ec8f9472', 'job_description': 'Decentralized reciprocal matrix', 'start_date': datetime.datetime(2014, 7, 26, 3, 50, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 7, 8, 23, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 3, 21, 29, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd2016672-b434-4989-9741-42b37c511ba7', 'end_date': datetime.datetime(2015, 5, 22, 9, 52, 53), 'start_time': datetime.datetime(2018, 11, 28, 15, 37, 8), 'rate': 2, 'updated_at': datetime.datetime(2016, 2, 3, 21, 33, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6b2e384d-2d18-4287-97ee-da7b34ace36b', 'job_description': 'Digitized modular attitude', 'start_date': datetime.datetime(2019, 3, 24, 0, 19, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 2, 18, 0, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 1, 16, 14, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a184089-af24-492d-b223-3237b94435ce', 'end_date': datetime.datetime(2016, 5, 29, 13, 31, 36), 'start_time': datetime.datetime(2010, 10, 13, 14, 50, 50), 'rate': 2, 'updated_at': datetime.datetime(2012, 1, 24, 16, 12, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e84a31ca-7b68-43be-a6fc-f0229fbb38ff', 'job_description': 'Proactive web-enabled pricing structure', 'start_date': datetime.datetime(2012, 9, 13, 16, 59, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 14, 7, 15, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 5, 3, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d4d0009-1176-496b-8cfa-abb4c1dd37f2', 'end_date': datetime.datetime(2013, 11, 17, 8, 27, 17), 'start_time': datetime.datetime(2011, 9, 17, 20, 9, 34), 'rate': 1, 'updated_at': datetime.datetime(2017, 9, 18, 9, 31, 46), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '548acef2-8718-4a4f-bcda-9903aaaa60ea', 'job_description': 'Business-focused tertiary superstructure', 'start_date': datetime.datetime(2018, 6, 24, 0, 7, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 2, 17, 43, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 11, 23, 54, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '800dfa7c-7160-41d1-8b47-8d4ad4d04f11', 'end_date': datetime.datetime(2017, 2, 20, 10, 11, 16), 'start_time': datetime.datetime(2010, 8, 31, 21, 15, 33), 'rate': 2, 'updated_at': datetime.datetime(2017, 12, 9, 13, 39, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '192cf6b9-bba5-4531-80c9-961cebc46db6', 'job_description': 'User-centric eco-centric local area network', 'start_date': datetime.datetime(2011, 7, 18, 20, 10, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 6, 7, 14, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 5, 8, 9, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a554279-1c83-4167-8cbc-0f517dd5cfe8', 'end_date': datetime.datetime(2019, 4, 14, 19, 37, 34), 'start_time': datetime.datetime(2013, 2, 18, 10, 51, 14), 'rate': 4, 'updated_at': datetime.datetime(2010, 3, 7, 17, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cd983020-0cfa-4705-9045-7602d0a9219c', 'job_description': 'Re-engineered multi-state database', 'start_date': datetime.datetime(2017, 11, 5, 6, 23, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 8, 0, 15, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 14, 5, 8, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bcc01674-5d29-4329-ad3c-ecc0ee190ffd', 'end_date': datetime.datetime(2019, 1, 15, 15, 6, 46), 'start_time': datetime.datetime(2016, 10, 29, 5, 0, 4), 'rate': 3, 'updated_at': datetime.datetime(2011, 3, 7, 17, 56, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10f07264-da2b-4c43-aae6-02b6e79023fe', 'job_description': 'Quality-focused scalable circuit', 'start_date': datetime.datetime(2013, 4, 29, 0, 13, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 14, 3, 42, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 4, 23, 48, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4cd94cf1-2984-4f39-905a-9fdeafbaf7f3', 'end_date': datetime.datetime(2016, 10, 12, 1, 16, 11), 'start_time': datetime.datetime(2016, 8, 5, 3, 3, 29), 'rate': 2, 'updated_at': datetime.datetime(2017, 2, 12, 14, 25, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '98e06223-299a-48aa-ba98-a9ab0eef64f1', 'job_description': 'Horizontal multi-tasking software', 'start_date': datetime.datetime(2013, 6, 28, 16, 3, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 28, 8, 3, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 27, 14, 47, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7928b383-fd72-4bf9-a4d4-8c1747216b70', 'end_date': datetime.datetime(2019, 8, 19, 10, 31, 43), 'start_time': datetime.datetime(2010, 11, 24, 14, 59, 26), 'rate': 2, 'updated_at': datetime.datetime(2016, 7, 7, 10, 15, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Latvia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '90c9f037-33c5-4fb2-b6b8-0bd7d21f5bcd', 'job_description': 'Cross-platform holistic attitude', 'start_date': datetime.datetime(2011, 8, 7, 17, 23, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 5, 17, 7, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 26, 18, 0, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '38d6444e-fae5-4a4b-ab17-141bf6dd9363', 'end_date': datetime.datetime(2014, 3, 15, 5, 34, 7), 'start_time': datetime.datetime(2017, 3, 4, 2, 34, 49), 'rate': 2, 'updated_at': datetime.datetime(2014, 4, 29, 2, 21, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a7b1a52d-a37e-4497-af76-b1cfb1011b5a', 'job_description': 'Robust neutral productivity', 'start_date': datetime.datetime(2019, 1, 9, 7, 39, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 15, 21, 23, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 24, 11, 16, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4bc80bea-3a1c-46d4-a2ec-d4c31829a4cd', 'end_date': datetime.datetime(2012, 6, 27, 15, 30, 54), 'start_time': datetime.datetime(2018, 2, 2, 7, 24, 32), 'rate': 3, 'updated_at': datetime.datetime(2018, 9, 10, 21, 12, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dcbb742a-3fff-450c-8e6d-242a7191c626', 'job_description': 'Robust maximized extranet', 'start_date': datetime.datetime(2014, 6, 6, 19, 53, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 27, 17, 22, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 19, 12, 7, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '60cbf079-c8d3-4c5a-b46c-4f333c8c298b', 'end_date': datetime.datetime(2019, 10, 2, 5, 5, 2), 'start_time': datetime.datetime(2017, 10, 2, 10, 42, 45), 'rate': 1, 'updated_at': datetime.datetime(2010, 12, 22, 22, 50, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2fab9f8f-9cbe-4ebe-90c5-649480fce7bf', 'job_description': 'Future-proofed actuating methodology', 'start_date': datetime.datetime(2017, 12, 22, 13, 29, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 4, 2, 36, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 7, 18, 14, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '06e98be6-e244-4d45-8416-fdc008b49d46', 'end_date': datetime.datetime(2018, 3, 5, 20, 26, 4), 'start_time': datetime.datetime(2019, 11, 25, 13, 8, 18), 'rate': 4, 'updated_at': datetime.datetime(2010, 5, 19, 6, 45, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6bb0d609-68a6-493c-8ffd-a024f286853f', 'job_description': 'Switchable scalable data-warehouse', 'start_date': datetime.datetime(2012, 11, 13, 16, 57, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 4, 5, 3, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 23, 8, 20, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8cf63b97-e5fd-47fd-bd11-2ef3f2540aca', 'end_date': datetime.datetime(2013, 12, 14, 19, 10, 20), 'start_time': datetime.datetime(2018, 7, 18, 9, 38, 7), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 20, 2, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Japan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f279753f-2ee1-4d43-9ec3-15e9f22e5f21', 'job_description': 'Polarised zero administration definition', 'start_date': datetime.datetime(2013, 9, 25, 15, 21, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 12, 8, 12, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 4, 6, 27, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'efb6ca22-1704-4653-9552-d683a524c911', 'end_date': datetime.datetime(2013, 6, 21, 11, 34, 18), 'start_time': datetime.datetime(2019, 1, 28, 18, 15, 39), 'rate': 1, 'updated_at': datetime.datetime(2018, 2, 10, 7, 25, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd839e213-b9c4-47ee-9fac-731e24ccbba8', 'job_description': 'Object-based heuristic superstructure', 'start_date': datetime.datetime(2011, 3, 15, 4, 21, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 16, 3, 49, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 9, 7, 54, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '45412e29-1982-42fd-b0a4-9af7bcbe8b6b', 'end_date': datetime.datetime(2013, 5, 27, 6, 44, 39), 'start_time': datetime.datetime(2013, 4, 18, 20, 4, 40), 'rate': 1, 'updated_at': datetime.datetime(2015, 3, 12, 9, 53, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ecc70d23-fd50-4629-bff3-1c1cd2286c14', 'job_description': 'Multi-layered fault-tolerant benchmark', 'start_date': datetime.datetime(2014, 8, 1, 22, 9, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 22, 17, 20, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 6, 11, 55, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c33232cf-5f38-457e-9bf0-8daba97aef29', 'end_date': datetime.datetime(2019, 1, 21, 6, 30, 20), 'start_time': datetime.datetime(2011, 11, 14, 15, 11, 45), 'rate': 1, 'updated_at': datetime.datetime(2019, 4, 11, 5, 56, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '03d1f717-1f9e-41d0-b977-ad7e2929bde8', 'job_description': 'Managed motivating solution', 'start_date': datetime.datetime(2013, 6, 8, 19, 45, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 10, 3, 37, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 27, 3, 17, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '79d4070b-af00-4dd3-817b-4547a4d0366f', 'end_date': datetime.datetime(2019, 4, 10, 5, 40, 31), 'start_time': datetime.datetime(2019, 11, 12, 19, 22, 28), 'rate': 4, 'updated_at': datetime.datetime(2016, 3, 30, 4, 48, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '74e92cda-2492-4b97-aab3-8608ec831553', 'job_description': 'Profound systematic internet solution', 'start_date': datetime.datetime(2011, 10, 8, 19, 33, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 2, 2, 16, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 3, 20, 23, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3888bda1-771d-45dc-98fc-acb5bd913541', 'end_date': datetime.datetime(2016, 6, 22, 16, 49, 5), 'start_time': datetime.datetime(2012, 10, 27, 19, 5, 23), 'rate': 3, 'updated_at': datetime.datetime(2018, 12, 20, 12, 29, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '061e39a5-0d06-4e64-be73-7a3141be9fd3', 'job_description': 'Integrated motivating forecast', 'start_date': datetime.datetime(2012, 11, 17, 9, 20, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 13, 20, 28, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 20, 21, 4, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c72ba8fc-94ff-41a8-9fe6-5626e52e43ee', 'end_date': datetime.datetime(2014, 10, 12, 5, 6, 53), 'start_time': datetime.datetime(2011, 6, 2, 8, 34, 42), 'rate': 3, 'updated_at': datetime.datetime(2010, 6, 16, 7, 26, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Indonesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '39abd54e-dce0-4d6b-a17c-6faa4b5e4621', 'job_description': 'Centralized bandwidth-monitored focus group', 'start_date': datetime.datetime(2015, 4, 20, 0, 57, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 10, 22, 0, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 5, 5, 18, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf7c3ee9-e92a-4cc3-9198-8f3c1074c408', 'end_date': datetime.datetime(2013, 10, 6, 15, 39, 28), 'start_time': datetime.datetime(2015, 5, 12, 18, 8, 6), 'rate': 1, 'updated_at': datetime.datetime(2015, 2, 20, 20, 26, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Gambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '15cc84cf-1fab-4139-8ee8-6bd0d22da71e', 'job_description': 'Grass-roots actuating help-desk', 'start_date': datetime.datetime(2013, 7, 8, 0, 59, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 20, 16, 1, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 11, 18, 3, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '047f0a21-02ca-4e66-b86c-4d4cbddce35a', 'end_date': datetime.datetime(2018, 2, 1, 14, 46, 57), 'start_time': datetime.datetime(2016, 8, 15, 8, 2, 47), 'rate': 4, 'updated_at': datetime.datetime(2012, 5, 18, 7, 48, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b7e26b5e-376f-4bce-ab38-5577eca0c789', 'job_description': 'Self-enabling next generation groupware', 'start_date': datetime.datetime(2010, 8, 7, 7, 20, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 4, 15, 4, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 20, 1, 57, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '539425b4-e734-4e0d-9f5a-d193d7e0e8ff', 'end_date': datetime.datetime(2017, 10, 26, 19, 8, 21), 'start_time': datetime.datetime(2017, 1, 7, 8, 24, 12), 'rate': 4, 'updated_at': datetime.datetime(2010, 11, 7, 15, 57, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '614d7858-199d-4f37-ae10-6fcee6446291', 'job_description': 'Synergistic intangible toolset', 'start_date': datetime.datetime(2015, 12, 25, 21, 15, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 30, 14, 38, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 20, 18, 43, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0fa422c2-1660-4814-8ea0-78b897450598', 'end_date': datetime.datetime(2011, 12, 19, 0, 54, 22), 'start_time': datetime.datetime(2012, 3, 20, 10, 22, 41), 'rate': 3, 'updated_at': datetime.datetime(2019, 6, 8, 21, 52, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f3f31d6c-af87-4ea6-9838-902141302ea0', 'job_description': 'Phased 24/7 knowledge user', 'start_date': datetime.datetime(2013, 8, 31, 10, 9, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 9, 15, 55, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 8, 14, 2, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1fe0578b-d15a-4f7e-b2c8-4ba39fda811b', 'end_date': datetime.datetime(2018, 9, 20, 17, 8, 20), 'start_time': datetime.datetime(2013, 3, 14, 10, 0, 3), 'rate': 4, 'updated_at': datetime.datetime(2012, 2, 21, 2, 42, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c733ee57-af70-4743-ba63-69b06240fa34', 'job_description': 'Synchronised motivating customer loyalty', 'start_date': datetime.datetime(2014, 7, 31, 15, 25, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 15, 8, 48, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 21, 0, 18, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e97932e1-38c4-401e-bfad-9ed1dab37c5a', 'end_date': datetime.datetime(2013, 10, 24, 13, 35, 20), 'start_time': datetime.datetime(2019, 11, 9, 3, 9, 19), 'rate': 2, 'updated_at': datetime.datetime(2012, 6, 18, 8, 26, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd6dc76fc-891a-41b4-a724-7837bdcf2b35', 'job_description': 'Optional client-server throughput', 'start_date': datetime.datetime(2011, 1, 21, 16, 48, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 1, 18, 48, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 5, 19, 22, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '87cb14c3-dd2a-4cbf-bfd0-4879197acf81', 'end_date': datetime.datetime(2011, 9, 17, 22, 22, 56), 'start_time': datetime.datetime(2016, 4, 12, 16, 22, 11), 'rate': 3, 'updated_at': datetime.datetime(2012, 8, 17, 20, 48, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2fe08d60-3fe2-4853-8d6f-a2103bde581e', 'job_description': 'Implemented executive application', 'start_date': datetime.datetime(2018, 11, 3, 19, 35, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 30, 5, 28, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 5, 7, 6, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bbafb6b2-9118-4f92-8552-e0626c3aea59', 'end_date': datetime.datetime(2015, 6, 24, 3, 39, 7), 'start_time': datetime.datetime(2011, 4, 2, 5, 50, 50), 'rate': 5, 'updated_at': datetime.datetime(2016, 4, 4, 6, 28, 48), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '40549915-8814-4ed4-a4f5-8f25d9c579ed', 'job_description': 'Open-architected well-modulated support', 'start_date': datetime.datetime(2017, 6, 29, 13, 20, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 24, 12, 21, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 29, 21, 13, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '034c69b6-77ea-404b-b022-012a63149728', 'end_date': datetime.datetime(2012, 5, 9, 2, 40, 4), 'start_time': datetime.datetime(2016, 11, 22, 13, 41, 46), 'rate': 3, 'updated_at': datetime.datetime(2016, 2, 20, 9, 49, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '31ef4db5-70d3-4411-9900-1e5b8350c9ce', 'job_description': 'Secured zero defect approach', 'start_date': datetime.datetime(2016, 2, 20, 1, 25, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 7, 21, 46, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 28, 15, 48, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e28f3a7e-5fbf-4133-a45d-d369b4add289', 'end_date': datetime.datetime(2014, 8, 31, 0, 8, 47), 'start_time': datetime.datetime(2010, 4, 18, 5, 0, 34), 'rate': 1, 'updated_at': datetime.datetime(2016, 11, 19, 3, 55, 37), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aef299db-41c8-41ad-8eff-13a71dc75881', 'job_description': 'Synchronised bifurcated throughput', 'start_date': datetime.datetime(2012, 12, 10, 9, 21, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 26, 20, 27, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 26, 13, 40, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'de9d403b-4b93-4a24-8da9-a44b88323b2c', 'end_date': datetime.datetime(2014, 4, 20, 10, 50), 'start_time': datetime.datetime(2015, 7, 25, 23, 17, 57), 'rate': 3, 'updated_at': datetime.datetime(2013, 3, 9, 23, 11, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Andorra', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '50bd99fb-78cf-435a-8aeb-b182fe2d802a', 'job_description': 'Ergonomic explicit interface', 'start_date': datetime.datetime(2015, 6, 14, 23, 54, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 2, 10, 56, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 1, 20, 36, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1532d149-7a02-4bcf-917e-6dfeb7da12df', 'end_date': datetime.datetime(2014, 8, 20, 8, 24, 42), 'start_time': datetime.datetime(2011, 4, 28, 9, 49, 26), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 27, 1, 1, 22), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '89316ac3-3d74-4339-a2da-74f0ced755f7', 'job_description': 'Right-sized bi-directional customer loyalty', 'start_date': datetime.datetime(2011, 6, 17, 0, 55, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 19, 15, 38, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 16, 19, 41, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2954753-5d56-41c2-85e5-e1e492104d8d', 'end_date': datetime.datetime(2010, 11, 17, 1, 2, 13), 'start_time': datetime.datetime(2011, 4, 1, 12, 57, 35), 'rate': 2, 'updated_at': datetime.datetime(2017, 11, 18, 11, 23, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ad53b6e4-2c67-4cb2-95c4-0ac0cece446a', 'job_description': 'Ergonomic non-volatile flexibility', 'start_date': datetime.datetime(2017, 8, 7, 9, 55, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 1, 22, 5, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 31, 4, 28, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '10bf239c-9192-49bb-ab0c-679bee7addea', 'end_date': datetime.datetime(2019, 1, 1, 5, 8, 15), 'start_time': datetime.datetime(2011, 6, 1, 13, 49, 54), 'rate': 3, 'updated_at': datetime.datetime(2016, 4, 9, 9, 43, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ace28e3a-f9ba-4ef5-9a3a-e8d4e25813ba', 'job_description': 'Up-sized zero tolerance Graphic Interface', 'start_date': datetime.datetime(2018, 4, 9, 16, 36, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 27, 11, 43, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 12, 12, 48, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'df802155-5691-49f9-bc55-346552beb7c8', 'end_date': datetime.datetime(2011, 6, 7, 0, 35, 16), 'start_time': datetime.datetime(2017, 1, 4, 20, 55, 3), 'rate': 5, 'updated_at': datetime.datetime(2015, 1, 22, 18, 21, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b60cc7fd-e615-4f64-8105-b3a6a1e1fdf9', 'job_description': 'Configurable 3rd generation policy', 'start_date': datetime.datetime(2013, 6, 12, 15, 6, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 7, 6, 41, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 30, 16, 10, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '40bc578b-1bd9-4ed5-9d53-d8fb55a3cd9f', 'end_date': datetime.datetime(2011, 10, 27, 1, 1, 36), 'start_time': datetime.datetime(2010, 8, 16, 7, 36, 41), 'rate': 4, 'updated_at': datetime.datetime(2012, 8, 5, 8, 28, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Antigua and Barbuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bbe6b3cc-b300-4b7b-b0f2-5da9cc12272c', 'job_description': 'Sharable methodical info-mediaries', 'start_date': datetime.datetime(2011, 9, 18, 11, 37, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 25, 14, 16, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 9, 4, 24, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a042611f-5252-47a0-8a23-07066b3d284a', 'end_date': datetime.datetime(2015, 1, 6, 6, 15, 43), 'start_time': datetime.datetime(2015, 8, 25, 23, 5, 37), 'rate': 3, 'updated_at': datetime.datetime(2015, 4, 30, 6, 26, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1eaa1a6e-3664-4739-a05c-f347eb212220', 'job_description': 'Open-architected assymetric moratorium', 'start_date': datetime.datetime(2014, 10, 1, 22, 27, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 26, 11, 11, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 3, 17, 45, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3245e97c-87e3-4c3e-aac6-e0dc79214f05', 'end_date': datetime.datetime(2015, 1, 10, 20, 6, 20), 'start_time': datetime.datetime(2019, 3, 2, 4, 12, 41), 'rate': 4, 'updated_at': datetime.datetime(2017, 6, 5, 7, 40, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dc5b3c3b-f3e2-484f-920a-135905e77eee', 'job_description': 'Right-sized composite benchmark', 'start_date': datetime.datetime(2010, 9, 23, 13, 29, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 19, 16, 16, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 30, 8, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e852e93e-dcf8-427b-832b-6e81aa7a5058', 'end_date': datetime.datetime(2013, 1, 20, 4, 37, 1), 'start_time': datetime.datetime(2018, 9, 30, 0, 44, 30), 'rate': 2, 'updated_at': datetime.datetime(2011, 9, 12, 5, 58, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fd069780-4dc7-4210-b49b-e9bc6becff4a', 'job_description': 'Cross-platform actuating attitude', 'start_date': datetime.datetime(2017, 10, 30, 22, 27, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 3, 23, 42, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 23, 11, 11, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c38631ac-34d3-4731-933d-41db27b01836', 'end_date': datetime.datetime(2018, 6, 17, 12, 1, 23), 'start_time': datetime.datetime(2012, 12, 10, 16, 30, 9), 'rate': 2, 'updated_at': datetime.datetime(2012, 6, 16, 20, 32, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8549af9c-57a8-48f1-88e5-036a5d1acfbc', 'job_description': 'Horizontal hybrid architecture', 'start_date': datetime.datetime(2011, 1, 21, 12, 22, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 26, 21, 51, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 9, 23, 31, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '91aa2209-e3b8-433a-988f-ea78a8ad76de', 'end_date': datetime.datetime(2016, 2, 1, 6, 38, 40), 'start_time': datetime.datetime(2015, 2, 27, 21, 26, 4), 'rate': 2, 'updated_at': datetime.datetime(2011, 2, 8, 9, 14, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '047bafdc-6920-42b1-9a0a-47691e3bb1de', 'job_description': 'Optimized needs-based matrices', 'start_date': datetime.datetime(2014, 8, 20, 16, 4, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 15, 11, 5, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 13, 21, 21, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5fffd80b-5561-4043-8c76-cccdd6474fdb', 'end_date': datetime.datetime(2013, 10, 14, 4, 0, 33), 'start_time': datetime.datetime(2014, 8, 2, 5, 57, 53), 'rate': 1, 'updated_at': datetime.datetime(2012, 8, 26, 5, 47, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'da8c2a29-0c63-4249-b21c-07e57f3c2abd', 'job_description': 'Decentralized logistical interface', 'start_date': datetime.datetime(2018, 5, 5, 17, 50, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 28, 14, 7, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 8, 16, 16, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8cabb359-8cec-4d66-b819-2f00f18254e4', 'end_date': datetime.datetime(2019, 5, 4, 4, 8, 10), 'start_time': datetime.datetime(2013, 10, 14, 15, 7, 46), 'rate': 1, 'updated_at': datetime.datetime(2010, 4, 14, 11, 50, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Afghanistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b76e489-6ca1-48c0-bb53-76c382ac2d35', 'job_description': 'Automated optimal encoding', 'start_date': datetime.datetime(2014, 7, 16, 4, 9, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 30, 3, 47, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 27, 18, 32, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fe9e8ef8-6115-4c7d-99ab-724c3205c0ac', 'end_date': datetime.datetime(2018, 3, 26, 5, 17, 27), 'start_time': datetime.datetime(2011, 3, 14, 0, 53, 26), 'rate': 5, 'updated_at': datetime.datetime(2012, 8, 20, 19, 59, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8f62685a-d82b-488a-95bf-bd1d5515d861', 'job_description': 'Monitored context-sensitive success', 'start_date': datetime.datetime(2014, 9, 26, 5, 52, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 2, 19, 0, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 15, 18, 11, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e68ea540-d924-4ef4-bcaf-a7c822528b6a', 'end_date': datetime.datetime(2014, 6, 11, 14, 45, 28), 'start_time': datetime.datetime(2018, 3, 19, 0, 1, 8), 'rate': 1, 'updated_at': datetime.datetime(2012, 4, 15, 23, 51, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Liberia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0846981b-0335-4431-81e1-fa34d180dd6c', 'job_description': 'Balanced assymetric productivity', 'start_date': datetime.datetime(2012, 1, 19, 8, 51, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 17, 2, 43, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 11, 5, 10, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7b8c46cf-7097-485f-9d6a-9a024474f730', 'end_date': datetime.datetime(2013, 3, 9, 23, 23, 18), 'start_time': datetime.datetime(2016, 10, 17, 13, 43), 'rate': 4, 'updated_at': datetime.datetime(2017, 12, 6, 7, 15, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd4f03ce5-39c3-4cc5-a81d-25090de7aa89', 'job_description': 'Networked optimal middleware', 'start_date': datetime.datetime(2012, 5, 13, 3, 47, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 29, 5, 2, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 18, 13, 6, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '64f3c364-d647-4ad2-96a0-ed4600d22f41', 'end_date': datetime.datetime(2010, 10, 12, 19, 27, 57), 'start_time': datetime.datetime(2015, 12, 8, 11, 29, 38), 'rate': 2, 'updated_at': datetime.datetime(2017, 7, 1, 14, 46, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fe52172d-45b6-4e5c-8b49-58676c1e130e', 'job_description': 'Switchable solution-oriented methodology', 'start_date': datetime.datetime(2013, 6, 4, 22, 56, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 23, 14, 9, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 11, 5, 29, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bf472407-8cb9-44e9-8997-305905be2d29', 'end_date': datetime.datetime(2011, 1, 20, 6, 51, 8), 'start_time': datetime.datetime(2017, 2, 15, 10, 50, 24), 'rate': 4, 'updated_at': datetime.datetime(2015, 5, 21, 18, 31, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10a5ef6c-b277-47f9-be98-a32007c18d79', 'job_description': 'Universal fresh-thinking conglomeration', 'start_date': datetime.datetime(2010, 4, 5, 4, 37, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 14, 12, 36, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 29, 1, 5, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8755773a-cbc3-4e9e-b037-30a6454a020e', 'end_date': datetime.datetime(2014, 6, 10, 21, 20, 32), 'start_time': datetime.datetime(2017, 2, 10, 23, 53, 52), 'rate': 3, 'updated_at': datetime.datetime(2016, 9, 20, 17, 33, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '26d901a0-bd14-4838-8cfe-90bcd52d5a7e', 'job_description': 'Enterprise-wide assymetric protocol', 'start_date': datetime.datetime(2018, 9, 11, 6, 57, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 27, 14, 33, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 25, 17, 32, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '61e2b612-1814-49a4-a078-e0c4e4d19f0d', 'end_date': datetime.datetime(2012, 1, 12, 8, 23, 5), 'start_time': datetime.datetime(2017, 6, 4, 15, 54, 6), 'rate': 5, 'updated_at': datetime.datetime(2018, 2, 21, 17, 23, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1f901676-696e-4b74-ae00-0d22c143a253', 'job_description': 'Synergistic explicit matrix', 'start_date': datetime.datetime(2019, 3, 12, 20, 40, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 13, 16, 31, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 28, 3, 49, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '79f991ea-0488-4675-9192-961bdabb607b', 'end_date': datetime.datetime(2018, 3, 13, 11, 31, 26), 'start_time': datetime.datetime(2015, 7, 8, 7, 55, 20), 'rate': 1, 'updated_at': datetime.datetime(2012, 2, 21, 16, 42, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Mozambique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de9bfc24-6270-4b49-9e25-b02996884e13', 'job_description': 'Digitized local forecast', 'start_date': datetime.datetime(2016, 2, 6, 10, 37, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 20, 5, 6, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 17, 10, 12, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf82efdb-5e05-4f45-b11b-434b5965a973', 'end_date': datetime.datetime(2012, 8, 1, 20, 14, 30), 'start_time': datetime.datetime(2010, 8, 5, 19, 21, 27), 'rate': 4, 'updated_at': datetime.datetime(2013, 10, 17, 14, 25, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eb528548-e1c6-415a-8d1f-80117323762d', 'job_description': 'Implemented empowering intranet', 'start_date': datetime.datetime(2012, 4, 6, 19, 56, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 2, 1, 37, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 21, 7, 6, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a9a8f3f-aa28-4d12-87f0-a5ea30d8c69f', 'end_date': datetime.datetime(2011, 9, 5, 3, 45, 28), 'start_time': datetime.datetime(2016, 5, 31, 18, 18, 38), 'rate': 3, 'updated_at': datetime.datetime(2012, 9, 1, 10, 2, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9fa27664-58cf-4cb6-9f6d-ca7164dc8569', 'job_description': 'Object-based systemic initiative', 'start_date': datetime.datetime(2012, 6, 28, 20, 48, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 2, 22, 13, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 25, 14, 32, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f94ad01d-17e8-4ee0-81af-43d6f086dddb', 'end_date': datetime.datetime(2016, 4, 22, 6, 39, 47), 'start_time': datetime.datetime(2018, 5, 4, 2, 38, 31), 'rate': 4, 'updated_at': datetime.datetime(2013, 3, 22, 0, 18, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8662a758-c853-407d-801d-7931213f1cb4', 'job_description': 'Sharable grid-enabled methodology', 'start_date': datetime.datetime(2017, 10, 22, 22, 0, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 5, 7, 37, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 16, 7, 6, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '59ca23a8-0c09-466f-bef2-1ed950ab6d20', 'end_date': datetime.datetime(2012, 11, 29, 17, 54, 36), 'start_time': datetime.datetime(2019, 11, 22, 9, 15, 49), 'rate': 4, 'updated_at': datetime.datetime(2018, 12, 5, 12, 43, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '43f0d826-8ed8-43fb-b73d-54be7620fb05', 'job_description': 'Distributed system-worthy challenge', 'start_date': datetime.datetime(2011, 9, 16, 10, 38, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 23, 10, 58, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 8, 9, 10, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0ffeb5cd-9441-43fb-8d57-022fa787f97a', 'end_date': datetime.datetime(2017, 9, 25, 9, 1, 17), 'start_time': datetime.datetime(2018, 5, 16, 15, 28, 23), 'rate': 5, 'updated_at': datetime.datetime(2013, 4, 8, 15, 26, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e6b1599c-7838-4d9a-b8de-08c775a4edc2', 'job_description': 'Advanced reciprocal productivity', 'start_date': datetime.datetime(2015, 4, 15, 10, 51, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 21, 4, 1, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 28, 15, 47, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a21c980d-53a0-4404-b5e8-fbe5109d8f77', 'end_date': datetime.datetime(2012, 4, 8, 19, 32, 54), 'start_time': datetime.datetime(2017, 11, 6, 8, 15, 39), 'rate': 1, 'updated_at': datetime.datetime(2011, 6, 10, 17, 42, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '88f63db4-2096-4360-82f6-263a8c3bc1f5', 'job_description': 'Down-sized zero administration implementation', 'start_date': datetime.datetime(2012, 10, 15, 11, 28, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 1, 3, 36, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 12, 7, 30, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f1f212dd-a28f-4bc1-8cf7-056c78e971da', 'end_date': datetime.datetime(2010, 6, 21, 6, 15), 'start_time': datetime.datetime(2017, 3, 3, 7, 20, 16), 'rate': 1, 'updated_at': datetime.datetime(2014, 11, 6, 14, 11, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dd74e185-cf33-434f-ab69-e26c492fdcfa', 'job_description': 'Cross-platform stable conglomeration', 'start_date': datetime.datetime(2018, 9, 5, 2, 8, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 13, 10, 25, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 21, 5, 55, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '495c55f1-db95-4d0e-92ed-e3ffdc591ccb', 'end_date': datetime.datetime(2019, 4, 24, 13, 50, 24), 'start_time': datetime.datetime(2013, 10, 11, 21, 20, 19), 'rate': 4, 'updated_at': datetime.datetime(2018, 10, 28, 18, 39, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e65f78e-8262-43a0-9101-6e42c62fff7f', 'job_description': 'Cross-group zero tolerance throughput', 'start_date': datetime.datetime(2016, 10, 19, 0, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 23, 15, 21, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 16, 17, 42, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b8b0a988-1345-4d42-8aa3-b128dceb5835', 'end_date': datetime.datetime(2012, 5, 8, 18, 0, 44), 'start_time': datetime.datetime(2018, 1, 18, 17, 21, 14), 'rate': 4, 'updated_at': datetime.datetime(2011, 12, 10, 5, 50, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '52cf10df-80bf-4e76-972d-118bba05eb83', 'job_description': 'Sharable modular open architecture', 'start_date': datetime.datetime(2018, 5, 23, 4, 14, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 20, 22, 10, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 1, 13, 18, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8268af73-7336-4685-bbe0-41845f79fd68', 'end_date': datetime.datetime(2014, 7, 20, 5, 54, 3), 'start_time': datetime.datetime(2014, 12, 26, 6, 58, 41), 'rate': 3, 'updated_at': datetime.datetime(2011, 9, 8, 5, 20, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Bhutan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dcf02bab-a95c-4f2e-ba32-589a3b187798', 'job_description': 'Robust client-server emulation', 'start_date': datetime.datetime(2011, 2, 12, 13, 49, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 14, 4, 39, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 24, 14, 4, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ff698437-a8f8-4b5c-9d22-482bb7020238', 'end_date': datetime.datetime(2016, 3, 30, 19, 23, 10), 'start_time': datetime.datetime(2012, 1, 17, 2, 7, 41), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 14, 21, 55, 16), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '28c5e376-fa58-47c8-97db-34df1e14e3a0', 'job_description': 'Universal solution-oriented protocol', 'start_date': datetime.datetime(2013, 1, 7, 1, 1, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 25, 23, 59, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 9, 7, 16, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '14258823-1182-437e-b46b-12e90fd1e9a2', 'end_date': datetime.datetime(2019, 10, 15, 5, 23, 43), 'start_time': datetime.datetime(2019, 9, 7, 16, 29, 35), 'rate': 4, 'updated_at': datetime.datetime(2019, 3, 26, 23, 10, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5f00d612-f66e-48b6-a124-ee5e4825d021', 'job_description': 'Realigned executive productivity', 'start_date': datetime.datetime(2016, 9, 9, 19, 29, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 24, 5, 2, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 26, 15, 51, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a69b1de7-b741-4fc1-9216-1c0191c21c80', 'end_date': datetime.datetime(2017, 12, 5, 5, 22, 15), 'start_time': datetime.datetime(2017, 4, 4, 23, 59, 24), 'rate': 3, 'updated_at': datetime.datetime(2019, 1, 29, 13, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8251587c-ddd3-490f-a85c-68814861ad52', 'job_description': 'Robust non-volatile implementation', 'start_date': datetime.datetime(2018, 10, 15, 22, 15, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 9, 17, 18, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 28, 9, 52, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a8f63d7d-8059-4ce2-b38f-c3cd07ac54d3', 'end_date': datetime.datetime(2012, 12, 10, 9, 29, 49), 'start_time': datetime.datetime(2014, 6, 11, 14, 6, 11), 'rate': 2, 'updated_at': datetime.datetime(2019, 10, 9, 19, 47, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10a304d6-3baf-4592-83c9-cdec1c19590f', 'job_description': 'Team-oriented needs-based Graphic Interface', 'start_date': datetime.datetime(2013, 2, 23, 2, 49, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 11, 6, 58, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 16, 16, 13, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1418b8aa-bd73-4ebe-a23d-4b036c81f655', 'end_date': datetime.datetime(2010, 7, 3, 3, 57, 22), 'start_time': datetime.datetime(2013, 11, 19, 6, 56, 1), 'rate': 1, 'updated_at': datetime.datetime(2013, 2, 20, 15, 9, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5bf227f5-9659-40ef-bc1a-f80795d9be26', 'job_description': 'Cross-platform asynchronous open system', 'start_date': datetime.datetime(2014, 2, 26, 20, 6, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 19, 21, 40, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 14, 7, 51, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ed5b37f0-9d2c-4c51-9c61-797a3fc6e65a', 'end_date': datetime.datetime(2016, 3, 2, 18, 31, 41), 'start_time': datetime.datetime(2017, 5, 15, 10, 10, 27), 'rate': 4, 'updated_at': datetime.datetime(2011, 3, 4, 18, 48, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5a5fb82c-74b4-4c4e-ab7e-05912d2c48f6', 'job_description': 'Right-sized multi-state customer loyalty', 'start_date': datetime.datetime(2011, 6, 22, 11, 59, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 8, 13, 18, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 8, 11, 21, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9b338b6c-d3cd-4622-b258-7f28ae331492', 'end_date': datetime.datetime(2014, 10, 3, 7, 55, 20), 'start_time': datetime.datetime(2012, 8, 16, 6, 31, 58), 'rate': 3, 'updated_at': datetime.datetime(2010, 8, 24, 18, 8, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': '352ac6b6-b409-4cba-a056-a3a9abcf8c6b', 'job_description': 'Business-focused bottom-line standardization', 'start_date': datetime.datetime(2013, 6, 26, 21, 23, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 19, 2, 24, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 18, 15, 2, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9a64f513-b40b-4519-910f-2529a68aecc9', 'end_date': datetime.datetime(2015, 6, 24, 6, 49, 45), 'start_time': datetime.datetime(2015, 3, 19, 6, 27, 3), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 29, 16, 43, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Jersey', 'special_note': 'thanks'}
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{'_id': '2f1e7b44-e297-459c-9181-d5afdcd458ab', 'job_description': 'Monitored zero defect superstructure', 'start_date': datetime.datetime(2010, 6, 6, 13, 0, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 1, 6, 18, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 17, 18, 26, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '86cbcbf0-a5a2-485d-befb-abf6892e7f33', 'end_date': datetime.datetime(2011, 4, 21, 16, 35, 3), 'start_time': datetime.datetime(2019, 11, 14, 13, 13, 46), 'rate': 3, 'updated_at': datetime.datetime(2014, 10, 17, 17, 36, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Netherlands', 'special_note': 'thanks'}
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{'_id': '2bf4258a-481c-4069-aa18-b7cdc8c5d57b', 'job_description': 'Focused optimal success', 'start_date': datetime.datetime(2014, 3, 10, 6, 12, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 8, 12, 25, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 26, 12, 58, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '215e58df-92d5-4bf7-b06d-32bb88bd421d', 'end_date': datetime.datetime(2017, 11, 28, 22, 9, 51), 'start_time': datetime.datetime(2010, 6, 5, 7, 4, 51), 'rate': 1, 'updated_at': datetime.datetime(2014, 10, 13, 12, 23, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
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{'_id': 'e064425c-4564-4574-b3b3-5055d28050a5', 'job_description': 'Cross-group mission-critical standardization', 'start_date': datetime.datetime(2018, 3, 15, 7, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 19, 4, 34, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 11, 5, 43, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2b44727-3b4f-43c3-a641-11dd731cdcaf', 'end_date': datetime.datetime(2016, 10, 9, 18, 25, 39), 'start_time': datetime.datetime(2015, 7, 19, 3, 16, 13), 'rate': 2, 'updated_at': datetime.datetime(2016, 11, 18, 1, 28, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '51496bf4-1ac2-4b79-9698-d063f0796df6', 'job_description': 'Re-contextualized methodical collaboration', 'start_date': datetime.datetime(2016, 9, 16, 12, 24, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 22, 9, 48, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 7, 14, 55, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '56a9722d-4af8-4d94-9a37-aaee5d1fd252', 'end_date': datetime.datetime(2011, 11, 16, 3, 30, 45), 'start_time': datetime.datetime(2019, 4, 17, 2, 12, 11), 'rate': 1, 'updated_at': datetime.datetime(2017, 1, 18, 16, 56, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': '0c7604c3-1727-4acf-ab93-6bf5560e336c', 'job_description': 'Advanced tangible benchmark', 'start_date': datetime.datetime(2011, 12, 1, 5, 26, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 20, 19, 33, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 3, 21, 27, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3adb20b0-199e-474f-baf5-36aa9a1e4cd1', 'end_date': datetime.datetime(2019, 5, 10, 4, 41, 28), 'start_time': datetime.datetime(2018, 12, 6, 15, 4, 16), 'rate': 2, 'updated_at': datetime.datetime(2018, 12, 27, 3, 53, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Argentina', 'special_note': 'thanks'}
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{'_id': '6e7d0f0b-ec6e-445e-8dc0-e1825eb3c3fa', 'job_description': 'Balanced client-driven workforce', 'start_date': datetime.datetime(2013, 10, 23, 15, 29, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 12, 15, 58, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 16, 6, 54, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '66678a7f-7ea8-4e31-908e-fd2e96565d70', 'end_date': datetime.datetime(2016, 1, 3, 8, 30, 53), 'start_time': datetime.datetime(2013, 3, 23, 17, 17, 38), 'rate': 4, 'updated_at': datetime.datetime(2016, 7, 29, 16, 38, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
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{'_id': '8bedf3a1-4904-466e-98ce-7a292284813d', 'job_description': 'Pre-emptive methodical hierarchy', 'start_date': datetime.datetime(2019, 8, 10, 21, 59, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 9, 23, 30, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 16, 10, 59, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3d4a24c5-2417-4636-925d-6cb8aced0217', 'end_date': datetime.datetime(2011, 1, 27, 4, 56, 37), 'start_time': datetime.datetime(2017, 3, 2, 16, 25, 10), 'rate': 4, 'updated_at': datetime.datetime(2014, 4, 1, 6, 36, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
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{'_id': '192a7c8d-f3d6-4b11-9065-eb9feebc9a86', 'job_description': 'Virtual reciprocal firmware', 'start_date': datetime.datetime(2016, 12, 27, 5, 6, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 7, 15, 25, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 5, 15, 38, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ccadfc65-cb9a-4fa7-9093-a3c1cc76676e', 'end_date': datetime.datetime(2013, 8, 1, 5, 51, 47), 'start_time': datetime.datetime(2010, 3, 23, 21, 34, 56), 'rate': 2, 'updated_at': datetime.datetime(2017, 3, 14, 0, 43, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
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{'_id': 'f621aac4-ac72-47b8-8cf5-575ae991ea8f', 'job_description': 'Future-proofed 6th generation success', 'start_date': datetime.datetime(2015, 3, 29, 9, 33, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 12, 19, 7, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 10, 18, 47, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5f112c6c-49e7-40d1-a190-1b4edd126d41', 'end_date': datetime.datetime(2019, 1, 18, 23, 3, 57), 'start_time': datetime.datetime(2015, 8, 16, 15, 34, 24), 'rate': 1, 'updated_at': datetime.datetime(2013, 9, 8, 1, 27, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
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{'_id': '691599ac-6bb7-4120-921e-d1ca3acdb988', 'job_description': 'Horizontal solution-oriented installation', 'start_date': datetime.datetime(2015, 5, 30, 1, 3, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 1, 20, 13, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 3, 21, 38, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '720ed36b-7849-4727-988e-ab5f258f441a', 'end_date': datetime.datetime(2014, 4, 9, 7, 6, 52), 'start_time': datetime.datetime(2010, 3, 4, 0, 10, 20), 'rate': 4, 'updated_at': datetime.datetime(2012, 5, 26, 11, 15, 28), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7851d5f0-9cea-4392-a34a-a4e7fd782767', 'job_description': 'Fully-configurable cohesive definition', 'start_date': datetime.datetime(2015, 2, 13, 5, 54, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 15, 18, 44, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 29, 1, 7, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd8b4d551-f948-4767-9d77-bb1e6be2451a', 'end_date': datetime.datetime(2015, 7, 16, 8, 21, 33), 'start_time': datetime.datetime(2014, 10, 12, 12, 51, 7), 'rate': 1, 'updated_at': datetime.datetime(2014, 10, 18, 22, 14, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
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{'_id': '0f2593c4-8b7a-4c04-a678-06f4147ea80c', 'job_description': 'Business-focused real-time local area network', 'start_date': datetime.datetime(2013, 6, 10, 9, 56, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 1, 18, 24, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 26, 0, 26, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fe237f40-a3f7-4a25-96ba-a613ed22cdad', 'end_date': datetime.datetime(2019, 11, 27, 17, 50, 21), 'start_time': datetime.datetime(2015, 3, 11, 6, 28, 40), 'rate': 5, 'updated_at': datetime.datetime(2010, 10, 26, 20, 57, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '5ce335d8-efe6-4056-914e-5cf97a6d3893', 'job_description': 'Vision-oriented transitional application', 'start_date': datetime.datetime(2016, 2, 3, 5, 40, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 8, 19, 45, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 30, 20, 17, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c4717fb-65ea-4317-98b0-02ec0cde2372', 'end_date': datetime.datetime(2017, 10, 1, 6, 48, 54), 'start_time': datetime.datetime(2014, 5, 23, 3, 15, 53), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 17, 15, 46, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
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{'_id': '61ea55d9-01ca-40f6-8b5d-253c5ca49614', 'job_description': 'Fundamental grid-enabled internet solution', 'start_date': datetime.datetime(2012, 10, 6, 22, 8, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 16, 22, 2, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 3, 16, 57, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8aedca91-3fcb-4163-b9b1-2efe99e61ef8', 'end_date': datetime.datetime(2017, 8, 4, 9, 19, 41), 'start_time': datetime.datetime(2015, 10, 11, 15, 8, 29), 'rate': 1, 'updated_at': datetime.datetime(2014, 10, 20, 23, 32, 48), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
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{'_id': '4cf5f339-f967-4a0c-a9a4-403111ab9fe8', 'job_description': 'Down-sized 3rd generation artificial intelligence', 'start_date': datetime.datetime(2011, 1, 19, 18, 34, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 6, 22, 58, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 25, 2, 35, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '94a3a110-9769-41b0-9e1c-b096a2717849', 'end_date': datetime.datetime(2010, 9, 10, 8, 49, 12), 'start_time': datetime.datetime(2011, 1, 4, 18, 31, 42), 'rate': 3, 'updated_at': datetime.datetime(2010, 6, 16, 17, 25, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Cyprus', 'special_note': 'thanks'}
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{'_id': 'b075678c-16f7-42bf-911e-489c4402f270', 'job_description': 'Multi-layered clear-thinking array', 'start_date': datetime.datetime(2011, 1, 2, 15, 23, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 26, 20, 36, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 27, 2, 48, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6d11f684-f80f-4ccb-a008-c07afcdfbe91', 'end_date': datetime.datetime(2016, 3, 20, 3, 31, 13), 'start_time': datetime.datetime(2015, 4, 24, 8, 44, 37), 'rate': 1, 'updated_at': datetime.datetime(2015, 10, 3, 11, 11, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': 'ffa65dc6-51d3-42d2-a338-e7797820947e', 'job_description': 'Virtual tangible alliance', 'start_date': datetime.datetime(2012, 9, 27, 4, 36, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 25, 19, 37, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 15, 23, 47, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f3c442b1-2ef3-40ba-9c06-a0f80a01c9a0', 'end_date': datetime.datetime(2014, 1, 28, 7, 40, 22), 'start_time': datetime.datetime(2014, 4, 5, 3, 5, 26), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 6, 14, 9, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
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{'_id': '30b28b9c-1954-439c-930c-f2f9d2780cd2', 'job_description': 'Ergonomic zero defect function', 'start_date': datetime.datetime(2016, 12, 19, 14, 10, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 4, 12, 16, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 14, 20, 46, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '020a27fb-a59e-4f62-8120-fcab40f55abd', 'end_date': datetime.datetime(2013, 2, 11, 20, 42, 29), 'start_time': datetime.datetime(2017, 6, 14, 20, 59, 52), 'rate': 2, 'updated_at': datetime.datetime(2016, 11, 21, 18, 10, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '62ac326d-6734-4706-a539-f0c4d76391eb', 'job_description': 'Digitized multi-tasking functionalities', 'start_date': datetime.datetime(2011, 8, 6, 9, 18, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 24, 20, 18, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 14, 3, 21, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '772627d8-98b3-4a61-99b4-6914853bd76e', 'end_date': datetime.datetime(2015, 9, 11, 18, 55, 39), 'start_time': datetime.datetime(2016, 11, 7, 22, 0, 46), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 27, 8, 29, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ad997819-630e-40d5-bbd6-fc171acb5e16', 'job_description': 'Ameliorated executive capacity', 'start_date': datetime.datetime(2013, 6, 19, 20, 47, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 25, 9, 23, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 5, 6, 50, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f37b134-1792-4b3b-b4af-e951132146d2', 'end_date': datetime.datetime(2015, 7, 22, 11, 18, 56), 'start_time': datetime.datetime(2015, 10, 6, 15, 3, 19), 'rate': 1, 'updated_at': datetime.datetime(2012, 11, 9, 23, 27, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
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{'_id': 'ef89b61e-cc05-40cf-bde3-e809f74f5418', 'job_description': 'Secured interactive monitoring', 'start_date': datetime.datetime(2012, 2, 17, 21, 51, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 24, 18, 6, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 13, 19, 6, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9221d03b-9403-456c-907b-51e781cce871', 'end_date': datetime.datetime(2015, 3, 2, 18, 20, 47), 'start_time': datetime.datetime(2014, 3, 6, 12, 16, 59), 'rate': 4, 'updated_at': datetime.datetime(2015, 1, 10, 7, 37, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eab50ef2-0a7e-43b9-8bf6-7d03b1bef1c3', 'job_description': 'Universal 5th generation policy', 'start_date': datetime.datetime(2013, 2, 17, 7, 34, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 25, 6, 16, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 31, 12, 15, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ee2a7a3e-80e9-46e4-81c2-7adc59800de0', 'end_date': datetime.datetime(2017, 5, 31, 8, 36, 50), 'start_time': datetime.datetime(2015, 12, 10, 20, 48, 57), 'rate': 2, 'updated_at': datetime.datetime(2017, 6, 21, 15, 17, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0537b96a-2e66-4e90-ad73-cb3936e8eb89', 'job_description': 'Synergized bottom-line monitoring', 'start_date': datetime.datetime(2016, 3, 17, 7, 40, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 20, 14, 35, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 2, 7, 0, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'afa8d42f-9d73-4b16-b506-5c350719a8d4', 'end_date': datetime.datetime(2013, 5, 15, 11, 53, 55), 'start_time': datetime.datetime(2016, 11, 9, 2, 44, 3), 'rate': 1, 'updated_at': datetime.datetime(2017, 5, 26, 16, 1, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9fff156c-ebc3-4a18-934f-031ae95de8d2', 'job_description': 'Innovative system-worthy challenge', 'start_date': datetime.datetime(2011, 9, 30, 9, 52, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 1, 20, 14, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 23, 18, 5, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a6d55be6-06b4-4b1e-87f7-3118f8a370fa', 'end_date': datetime.datetime(2014, 9, 13, 13, 49, 17), 'start_time': datetime.datetime(2019, 5, 6, 7, 11, 3), 'rate': 2, 'updated_at': datetime.datetime(2019, 7, 29, 1, 6, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '835a181b-f002-4aaa-8039-f122704db0d9', 'job_description': 'Proactive next generation array', 'start_date': datetime.datetime(2016, 8, 22, 12, 59, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 2, 2, 42, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 8, 0, 38, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9286e32b-e581-45c6-a511-424d008d9ae1', 'end_date': datetime.datetime(2019, 4, 27, 20, 57, 43), 'start_time': datetime.datetime(2011, 10, 2, 9, 37, 19), 'rate': 3, 'updated_at': datetime.datetime(2014, 5, 30, 23, 46, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8ab251c-2344-44ca-9561-16f37b8ea346', 'job_description': 'Reverse-engineered directional Graphic Interface', 'start_date': datetime.datetime(2018, 11, 13, 18, 55, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 17, 9, 15, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 12, 15, 43, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b7bfff88-fa52-4a14-b8ca-0fd5d07b4041', 'end_date': datetime.datetime(2019, 5, 26, 14, 2, 48), 'start_time': datetime.datetime(2012, 3, 16, 21, 9, 11), 'rate': 2, 'updated_at': datetime.datetime(2019, 3, 7, 8, 19, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8af1a8f6-62a6-46e0-8740-e15ea61dac45', 'job_description': 'Triple-buffered impactful leverage', 'start_date': datetime.datetime(2011, 1, 31, 15, 10, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 15, 15, 28, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 7, 3, 45, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '595acbc7-6c74-4607-aa78-626817460f22', 'end_date': datetime.datetime(2010, 8, 10, 16, 1, 55), 'start_time': datetime.datetime(2018, 11, 11, 6, 9, 29), 'rate': 5, 'updated_at': datetime.datetime(2017, 3, 5, 11, 39, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e454edde-d433-4f44-a80d-0e4eeb76b233', 'job_description': 'Customizable bifurcated approach', 'start_date': datetime.datetime(2010, 9, 12, 4, 46, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 19, 20, 41, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 7, 11, 23, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57465294-8d44-4d6a-b36b-d58d5c070058', 'end_date': datetime.datetime(2016, 8, 20, 10, 0, 23), 'start_time': datetime.datetime(2011, 7, 11, 21, 16, 3), 'rate': 3, 'updated_at': datetime.datetime(2011, 7, 13, 22, 28, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '91b110e2-d420-4e5d-aee0-d65301989b5c', 'job_description': 'Switchable bi-directional help-desk', 'start_date': datetime.datetime(2011, 4, 6, 11, 7, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 4, 21, 35, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 3, 18, 29, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c4f9b7b8-c82c-422e-9454-ef91337bf5dc', 'end_date': datetime.datetime(2015, 5, 3, 0, 8, 47), 'start_time': datetime.datetime(2011, 1, 4, 13, 24, 55), 'rate': 3, 'updated_at': datetime.datetime(2017, 6, 4, 17, 46, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9c1ffc94-b115-43f9-9d82-b8dd46169c57', 'job_description': 'Face to face global firmware', 'start_date': datetime.datetime(2013, 12, 30, 5, 20, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 16, 23, 1, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 30, 21, 11, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'efdd89ee-12df-4389-90a7-d44b4f184414', 'end_date': datetime.datetime(2017, 1, 3, 5, 14, 3), 'start_time': datetime.datetime(2017, 8, 5, 6, 24, 21), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 12, 0, 25, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8026a727-574f-4e29-a8a4-dd232a0df39d', 'job_description': 'Open-architected value-added focus group', 'start_date': datetime.datetime(2013, 6, 26, 15, 4, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 6, 14, 17, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 13, 15, 58, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '21731bd2-358c-41ef-9921-80cf8497a700', 'end_date': datetime.datetime(2012, 2, 20, 10, 59, 13), 'start_time': datetime.datetime(2010, 9, 29, 13, 18, 26), 'rate': 4, 'updated_at': datetime.datetime(2010, 2, 7, 12, 44, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8a95e758-7eb7-4071-a0c0-b0415a9608c7', 'job_description': 'Synergistic global product', 'start_date': datetime.datetime(2014, 1, 9, 4, 51, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 7, 15, 1, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 17, 2, 52, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b78d8b9d-6074-4d63-8947-76593bc08bbb', 'end_date': datetime.datetime(2013, 9, 6, 7, 47, 15), 'start_time': datetime.datetime(2015, 3, 29, 21, 52, 45), 'rate': 3, 'updated_at': datetime.datetime(2016, 5, 19, 11, 56, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f4ff0f80-cba8-4372-8939-ae5040afc4dc', 'job_description': 'Persistent 4th generation challenge', 'start_date': datetime.datetime(2018, 10, 7, 20, 48, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 12, 18, 1, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 26, 13, 53, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '060c4196-28a7-4c54-9e9e-02fd056164ed', 'end_date': datetime.datetime(2017, 12, 10, 16, 46, 10), 'start_time': datetime.datetime(2016, 11, 11, 2, 19, 36), 'rate': 3, 'updated_at': datetime.datetime(2013, 7, 22, 15, 8, 42), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e594e963-f45e-40af-878a-8eb5950df0c4', 'job_description': 'Re-contextualized well-modulated Graphical User Interface', 'start_date': datetime.datetime(2013, 8, 22, 8, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 11, 7, 49, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 21, 19, 3, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c6e617b1-44b2-449f-b845-3a360bc793fa', 'end_date': datetime.datetime(2019, 8, 23, 15, 26, 17), 'start_time': datetime.datetime(2015, 5, 14, 8, 11, 32), 'rate': 1, 'updated_at': datetime.datetime(2010, 12, 1, 19, 21, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a320168b-547c-4e75-9ce2-6b73c6bcb2fe', 'job_description': 'Multi-channelled responsive open architecture', 'start_date': datetime.datetime(2012, 10, 3, 14, 6, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 1, 18, 20, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 16, 2, 53, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '73af9902-4c61-491f-8d70-3dd793569544', 'end_date': datetime.datetime(2019, 1, 6, 16, 41, 55), 'start_time': datetime.datetime(2010, 9, 10, 0, 44, 39), 'rate': 5, 'updated_at': datetime.datetime(2016, 12, 25, 23, 33, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ca5acf61-bbe8-4cf0-8d3c-6bf7df85f48f', 'job_description': 'Upgradable solution-oriented ability', 'start_date': datetime.datetime(2017, 7, 27, 0, 22, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 16, 19, 20, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 29, 4, 32, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '20a63594-f198-43f5-b401-28771722b1c0', 'end_date': datetime.datetime(2016, 6, 29, 9, 45, 3), 'start_time': datetime.datetime(2011, 9, 25, 14, 18, 27), 'rate': 1, 'updated_at': datetime.datetime(2019, 5, 29, 22, 58, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Grenada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e2cb2129-126f-47e0-a08e-71ff48a9943b', 'job_description': 'Seamless encompassing matrices', 'start_date': datetime.datetime(2013, 11, 13, 5, 50, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 15, 19, 59, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 11, 16, 41, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a1165677-fa71-4397-9ccb-57b24538afe1', 'end_date': datetime.datetime(2016, 6, 17, 5, 51, 33), 'start_time': datetime.datetime(2015, 8, 29, 13, 24, 20), 'rate': 4, 'updated_at': datetime.datetime(2014, 3, 3, 16, 43, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '941db9c7-4be7-4b18-9461-dc85c78d61da', 'job_description': 'Focused context-sensitive attitude', 'start_date': datetime.datetime(2010, 1, 11, 6, 15, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 15, 2, 25, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 11, 10, 10, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c330a7b1-d57a-409f-a5a6-7c7f22cb8ab9', 'end_date': datetime.datetime(2013, 6, 2, 7, 8, 49), 'start_time': datetime.datetime(2014, 1, 21, 14, 15, 46), 'rate': 3, 'updated_at': datetime.datetime(2018, 8, 29, 19, 9, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ffc2ec38-d4e2-4b44-b51b-c96943c2ce18', 'job_description': 'Universal regional firmware', 'start_date': datetime.datetime(2018, 2, 25, 15, 46, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 24, 6, 14, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 15, 9, 27, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '39df06b6-b9d2-4676-a3f3-69c657b73b01', 'end_date': datetime.datetime(2011, 7, 25, 17, 42, 34), 'start_time': datetime.datetime(2015, 12, 26, 19, 2, 58), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 1, 12, 20, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Bangladesh', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e32b157b-a1d1-43cb-9b8e-a4bc246d5bc1', 'job_description': 'Expanded optimizing help-desk', 'start_date': datetime.datetime(2019, 9, 10, 8, 38, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 14, 4, 44, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 19, 8, 9, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '27a61f08-e7c7-4f85-8729-aa86a95197bd', 'end_date': datetime.datetime(2019, 10, 5, 6, 12, 23), 'start_time': datetime.datetime(2017, 4, 10, 10, 30, 40), 'rate': 2, 'updated_at': datetime.datetime(2017, 1, 10, 17, 31, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c4d82fe8-c4e9-48f2-90e4-a12ab71e1e7c', 'job_description': 'Down-sized assymetric matrices', 'start_date': datetime.datetime(2019, 5, 12, 22, 3, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 22, 10, 13, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 13, 5, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd11d60c8-ec2e-4882-b76f-3726cda0d74b', 'end_date': datetime.datetime(2017, 10, 10, 8, 59, 31), 'start_time': datetime.datetime(2012, 2, 13, 1, 21, 38), 'rate': 3, 'updated_at': datetime.datetime(2016, 6, 23, 1, 28, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '371c8218-8c7b-496f-beb1-d2005410fa12', 'job_description': 'Cross-group intermediate application', 'start_date': datetime.datetime(2015, 5, 17, 2, 52, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 2, 8, 16, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 18, 13, 21, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e1d6e419-dec6-4490-9671-4d40276ff166', 'end_date': datetime.datetime(2014, 3, 21, 6, 7, 31), 'start_time': datetime.datetime(2012, 6, 9, 6, 56, 33), 'rate': 5, 'updated_at': datetime.datetime(2010, 11, 22, 7, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '030b7584-842d-4122-8271-be82bc6b145c', 'job_description': 'Optimized optimizing software', 'start_date': datetime.datetime(2019, 3, 8, 18, 42, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 4, 3, 5, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 12, 0, 59, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '68aa3f36-20dc-4b98-bdd1-f98e445fb06d', 'end_date': datetime.datetime(2014, 11, 28, 2, 5, 39), 'start_time': datetime.datetime(2019, 1, 11, 20, 18, 8), 'rate': 1, 'updated_at': datetime.datetime(2019, 1, 23, 3, 53, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
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{'_id': '99dec28b-f86e-4975-b9d4-3b5b9c6b9059', 'job_description': 'Synergistic needs-based solution', 'start_date': datetime.datetime(2015, 9, 21, 15, 25, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 18, 0, 57, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 17, 6, 40, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd0e7b54a-706e-415b-ba9e-30b4fa733aa3', 'end_date': datetime.datetime(2017, 2, 21, 9, 49, 52), 'start_time': datetime.datetime(2015, 8, 1, 4, 26, 6), 'rate': 2, 'updated_at': datetime.datetime(2012, 9, 28, 0, 15, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3433b61e-6263-4e10-a473-94e730cc043f', 'job_description': 'Front-line dedicated orchestration', 'start_date': datetime.datetime(2018, 12, 20, 23, 47, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 11, 23, 47, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 2, 8, 34, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '48332b82-f6a5-4282-a7f2-35fcd45ab12c', 'end_date': datetime.datetime(2018, 2, 28, 2, 59, 25), 'start_time': datetime.datetime(2018, 3, 10, 23, 20, 45), 'rate': 5, 'updated_at': datetime.datetime(2014, 5, 31, 5, 25, 19), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'df4e7647-66bd-4ad2-a901-0cb7b730d6e2', 'job_description': 'Multi-lateral 5th generation Graphical User Interface', 'start_date': datetime.datetime(2017, 5, 11, 10, 2, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 23, 23, 32, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 14, 3, 5, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '17673e22-f0b6-4cde-887f-7a1703d0e9be', 'end_date': datetime.datetime(2017, 9, 13, 7, 8, 56), 'start_time': datetime.datetime(2012, 11, 15, 0, 45, 58), 'rate': 3, 'updated_at': datetime.datetime(2010, 1, 11, 6, 36, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '59007b34-e5f5-40b0-8c8c-4a7d1270407a', 'job_description': 'Team-oriented impactful methodology', 'start_date': datetime.datetime(2014, 8, 19, 2, 53, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 6, 22, 44, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 3, 6, 30, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6164bb60-12eb-4f87-a6b3-002e6e3f09b7', 'end_date': datetime.datetime(2012, 4, 10, 23, 11, 23), 'start_time': datetime.datetime(2018, 7, 2, 9, 4, 36), 'rate': 5, 'updated_at': datetime.datetime(2014, 5, 21, 18, 53, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Anguilla', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ca2436ea-69d9-4810-a05a-f41c40ca534e', 'job_description': 'Mandatory bottom-line superstructure', 'start_date': datetime.datetime(2011, 12, 23, 3, 25, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 5, 12, 38, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 27, 5, 36, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd6862b67-8f9d-4604-8ac8-efb9150f2e56', 'end_date': datetime.datetime(2015, 1, 31, 10, 53, 42), 'start_time': datetime.datetime(2018, 11, 26, 15, 2, 30), 'rate': 4, 'updated_at': datetime.datetime(2010, 10, 15, 4, 55, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd9cb7144-ffc2-4dd9-8086-ecebb8c4e8f8', 'job_description': 'Function-based dedicated projection', 'start_date': datetime.datetime(2010, 11, 5, 22, 15, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 25, 11, 16, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 23, 14, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83cf9b44-71e8-4d46-b734-2aaa42f8af62', 'end_date': datetime.datetime(2010, 12, 25, 13, 50, 44), 'start_time': datetime.datetime(2012, 9, 17, 11, 47, 13), 'rate': 3, 'updated_at': datetime.datetime(2012, 2, 4, 9, 34, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Kenya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd77a130b-ddbf-4cc9-a2aa-457f1a232d1d', 'job_description': 'Up-sized object-oriented benchmark', 'start_date': datetime.datetime(2013, 8, 20, 10, 12, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 2, 11, 10, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 25, 1, 3, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8334caa5-fbb9-4dc7-a7d7-a0ad6234488e', 'end_date': datetime.datetime(2015, 12, 19, 14, 50, 16), 'start_time': datetime.datetime(2016, 1, 10, 18, 55, 31), 'rate': 1, 'updated_at': datetime.datetime(2018, 8, 5, 16, 11, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
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{'_id': '760b529a-ba0a-4b02-873a-4c9021f2690d', 'job_description': 'Persevering clear-thinking database', 'start_date': datetime.datetime(2019, 5, 17, 7, 4, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 1, 0, 21, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 1, 6, 20, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '07269448-4685-4c59-b467-cc682df81742', 'end_date': datetime.datetime(2019, 1, 1, 11, 57, 23), 'start_time': datetime.datetime(2018, 12, 24, 13, 52, 49), 'rate': 5, 'updated_at': datetime.datetime(2018, 8, 26, 5, 9, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': '00fa10b0-e479-4158-b774-1263b0cfbe21', 'job_description': 'Total directional infrastructure', 'start_date': datetime.datetime(2011, 3, 3, 9, 31, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 5, 1, 37, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 17, 7, 38, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b9d0ead0-486f-44a8-a2c1-d2b55842bf74', 'end_date': datetime.datetime(2011, 12, 8, 23, 10, 56), 'start_time': datetime.datetime(2019, 6, 4, 10, 10, 20), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 22, 0, 18, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
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{'_id': '75b8d108-7248-4a36-8f95-8d4876583ae0', 'job_description': 'Proactive fault-tolerant core', 'start_date': datetime.datetime(2011, 12, 25, 17, 37, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 26, 4, 57, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 15, 16, 10, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '450d880f-8dc0-4c7e-bb5e-9937b2408734', 'end_date': datetime.datetime(2012, 8, 31, 23, 28, 11), 'start_time': datetime.datetime(2016, 8, 11, 3, 4, 16), 'rate': 3, 'updated_at': datetime.datetime(2011, 2, 28, 11, 1, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': '0071c783-d263-43f5-84e3-941edff970e8', 'job_description': 'Cross-group transitional standardization', 'start_date': datetime.datetime(2019, 5, 21, 21, 6, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 27, 21, 26, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 29, 11, 48, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8a6cc307-9cc0-4473-b8ef-531bcea624c6', 'end_date': datetime.datetime(2019, 1, 20, 23, 27, 8), 'start_time': datetime.datetime(2019, 10, 21, 21, 54, 19), 'rate': 5, 'updated_at': datetime.datetime(2010, 2, 15, 12, 38, 6), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
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{'_id': '8f6cd617-dbd6-41d8-a7eb-9f08b140c2d2', 'job_description': 'Balanced holistic system engine', 'start_date': datetime.datetime(2012, 1, 19, 18, 27, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 23, 5, 51, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 22, 23, 50, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c76f9929-ce68-4af3-9ea0-484c1a585b44', 'end_date': datetime.datetime(2017, 7, 6, 14, 51, 53), 'start_time': datetime.datetime(2018, 5, 9, 15, 43, 45), 'rate': 2, 'updated_at': datetime.datetime(2015, 11, 23, 12, 52, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Iraq', 'special_note': 'thanks'}
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{'_id': '25971057-893c-45f3-ae1b-5e5f94e520d9', 'job_description': 'Progressive local process improvement', 'start_date': datetime.datetime(2014, 9, 6, 18, 16, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 6, 23, 30, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 18, 5, 47, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cff588f5-d4f0-41a7-8916-97d7983825b0', 'end_date': datetime.datetime(2018, 1, 11, 18, 45, 35), 'start_time': datetime.datetime(2011, 7, 13, 13, 10, 49), 'rate': 3, 'updated_at': datetime.datetime(2016, 8, 21, 4, 5, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3b5b94b4-66ab-403f-bc28-123b6757f8e3', 'job_description': 'Multi-lateral client-server project', 'start_date': datetime.datetime(2019, 9, 16, 20, 10, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 23, 2, 0, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 13, 20, 22, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7b8f44d3-116c-4314-a087-7463317ccbd8', 'end_date': datetime.datetime(2011, 10, 2, 13, 3, 32), 'start_time': datetime.datetime(2015, 9, 2, 0, 55, 32), 'rate': 1, 'updated_at': datetime.datetime(2014, 4, 25, 0, 24, 14), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
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{'_id': '1698087d-762c-4e98-b1d6-902de3f3932f', 'job_description': 'Optimized systematic process improvement', 'start_date': datetime.datetime(2016, 8, 15, 12, 38, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 22, 2, 1, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 28, 13, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a76b85f2-d9f8-4afb-8cc1-8ea86d01705c', 'end_date': datetime.datetime(2015, 1, 10, 2, 32, 59), 'start_time': datetime.datetime(2010, 7, 10, 22, 29, 51), 'rate': 4, 'updated_at': datetime.datetime(2013, 9, 15, 18, 56, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Finland', 'special_note': 'thanks'}
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{'_id': '8534f762-1721-4dff-b162-fb23a7feb6e8', 'job_description': 'Organic local monitoring', 'start_date': datetime.datetime(2012, 12, 9, 16, 44, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 27, 22, 15, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 20, 9, 56, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1296e508-282b-41d6-ab98-b05149bf2deb', 'end_date': datetime.datetime(2011, 6, 21, 21, 34, 30), 'start_time': datetime.datetime(2016, 2, 16, 12, 54, 41), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 5, 12, 4, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
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{'_id': 'b26afcc1-5737-4e98-a202-eedce6546cb9', 'job_description': 'Implemented reciprocal methodology', 'start_date': datetime.datetime(2016, 7, 19, 22, 52, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 27, 7, 18, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 19, 18, 42, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '55b184bf-9401-4211-a410-58441d3fb311', 'end_date': datetime.datetime(2011, 5, 16, 10, 55, 24), 'start_time': datetime.datetime(2010, 12, 20, 18, 29, 21), 'rate': 1, 'updated_at': datetime.datetime(2019, 3, 13, 22, 2, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
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{'_id': '4a85c50a-aa9c-4a0b-ae1d-17cee84911b0', 'job_description': 'Managed explicit website', 'start_date': datetime.datetime(2015, 4, 26, 0, 44, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 3, 10, 22, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 2, 20, 4, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b9e421da-330c-4cd4-9154-2a3cbd655daa', 'end_date': datetime.datetime(2012, 11, 14, 20, 37, 4), 'start_time': datetime.datetime(2016, 1, 13, 5, 8, 41), 'rate': 5, 'updated_at': datetime.datetime(2018, 1, 23, 21, 12, 25), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
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{'_id': '8c434ab5-68ba-477c-b213-4b7bd5bc4caf', 'job_description': 'Virtual systemic utilisation', 'start_date': datetime.datetime(2013, 6, 10, 23, 10, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 21, 1, 0, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 8, 19, 59, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f50cb538-0222-4513-89d0-348e5eac8850', 'end_date': datetime.datetime(2018, 5, 10, 0, 22, 47), 'start_time': datetime.datetime(2017, 6, 11, 21, 49, 3), 'rate': 5, 'updated_at': datetime.datetime(2014, 2, 24, 14, 41, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
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{'_id': '1a004d54-6985-45f5-b63b-0a99ae18db03', 'job_description': 'Switchable mission-critical architecture', 'start_date': datetime.datetime(2014, 3, 27, 4, 53, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 7, 12, 2, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 24, 21, 16, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f021cb9b-7d15-4729-ad39-bf13bb7f399b', 'end_date': datetime.datetime(2016, 2, 12, 16, 3, 15), 'start_time': datetime.datetime(2014, 5, 22, 8, 9, 52), 'rate': 1, 'updated_at': datetime.datetime(2010, 10, 24, 8, 40), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '25215fc8-7314-4cb1-83c5-41d85a8c6d97', 'job_description': 'Automated eco-centric secured line', 'start_date': datetime.datetime(2011, 1, 18, 8, 36, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 25, 14, 45, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 7, 22, 12, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '165bec0d-43b5-47c1-9f3d-1503302afd01', 'end_date': datetime.datetime(2014, 9, 27, 13, 49, 31), 'start_time': datetime.datetime(2019, 9, 27, 14, 50, 10), 'rate': 5, 'updated_at': datetime.datetime(2012, 9, 25, 6, 33, 17), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6a2993d3-d2ee-4a50-94ef-cdbf70783130', 'job_description': 'Open-source intermediate service-desk', 'start_date': datetime.datetime(2011, 5, 2, 11, 46, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 24, 12, 2, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 5, 2, 34, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1358f8f7-df57-45f1-92c0-fac61260b45e', 'end_date': datetime.datetime(2016, 7, 20, 8, 37, 59), 'start_time': datetime.datetime(2011, 1, 23, 1, 25, 12), 'rate': 5, 'updated_at': datetime.datetime(2017, 5, 9, 23, 56, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '98a9197b-6b8a-41e4-8ffd-c2cf4fd0121f', 'job_description': 'Polarised 4th generation functionalities', 'start_date': datetime.datetime(2015, 11, 2, 22, 31, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 30, 19, 22, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 20, 23, 12, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '70499ca5-49b5-431f-a24a-5274adfae188', 'end_date': datetime.datetime(2018, 12, 16, 22, 44, 51), 'start_time': datetime.datetime(2010, 3, 2, 12, 44, 43), 'rate': 2, 'updated_at': datetime.datetime(2017, 7, 4, 13, 16, 41), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '63f70cb9-6a40-4b9f-aa2a-7b9d10a559c6', 'job_description': 'Grass-roots local time-frame', 'start_date': datetime.datetime(2018, 10, 6, 12, 5, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 23, 17, 9, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 7, 13, 3, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e0152de8-d205-4907-8a3d-4a897cf23479', 'end_date': datetime.datetime(2014, 2, 21, 5, 28, 38), 'start_time': datetime.datetime(2019, 1, 3, 12, 45, 44), 'rate': 2, 'updated_at': datetime.datetime(2012, 6, 12, 2, 35, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
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{'_id': 'f02a2611-0e47-4554-aed9-116227299741', 'job_description': 'Distributed contextually-based architecture', 'start_date': datetime.datetime(2015, 2, 18, 19, 8, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 8, 12, 3, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 29, 20, 0, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '953f6a1c-804e-4e3c-9d88-65b21e7ad878', 'end_date': datetime.datetime(2016, 5, 13, 22, 1, 35), 'start_time': datetime.datetime(2013, 8, 28, 2, 6, 34), 'rate': 4, 'updated_at': datetime.datetime(2016, 3, 1, 8, 46, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8b562e0f-4f31-4221-a72b-d057429251b3', 'job_description': 'Down-sized directional database', 'start_date': datetime.datetime(2016, 11, 6, 20, 44, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 4, 18, 39, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 19, 17, 14, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ee8b7a63-ff8f-46ed-8ba9-6c290d8de9f5', 'end_date': datetime.datetime(2016, 12, 9, 22, 4, 15), 'start_time': datetime.datetime(2019, 11, 27, 13, 23, 45), 'rate': 3, 'updated_at': datetime.datetime(2016, 9, 20, 19, 42, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Costa Rica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5d1b4280-14fc-4b9f-b36f-c8290cb942f7', 'job_description': 'Synergistic optimizing intranet', 'start_date': datetime.datetime(2019, 4, 12, 4, 49, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 6, 9, 26, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 14, 10, 17, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e0e7dfc4-2788-428f-8b2d-e37c013a18ae', 'end_date': datetime.datetime(2014, 8, 16, 0, 47, 16), 'start_time': datetime.datetime(2012, 10, 16, 12, 22, 26), 'rate': 5, 'updated_at': datetime.datetime(2012, 4, 3, 2, 38, 58), 'job_title': 'CoffeeMaker', 'service_id': 'United States Virgin Islands', 'special_note': 'thanks'}
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{'_id': 'b667bb83-458b-4bd2-ae00-6bc074d40afa', 'job_description': 'Seamless bandwidth-monitored function', 'start_date': datetime.datetime(2012, 8, 5, 23, 36, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 5, 19, 53, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 19, 5, 29, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c05e7fd-431b-474d-be91-6e6f46fe0217', 'end_date': datetime.datetime(2014, 2, 15, 14, 53, 47), 'start_time': datetime.datetime(2014, 8, 14, 5, 19, 27), 'rate': 4, 'updated_at': datetime.datetime(2011, 6, 27, 21, 10, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
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{'_id': 'b791cb9e-0d5b-4906-a877-d1b92c4fa3e5', 'job_description': 'Integrated 5th generation local area network', 'start_date': datetime.datetime(2017, 9, 9, 13, 22, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 12, 17, 59, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 16, 22, 43, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5d27862b-d0a2-45b0-8df9-0dbdd6132729', 'end_date': datetime.datetime(2019, 3, 31, 18, 15, 40), 'start_time': datetime.datetime(2011, 4, 28, 17, 38, 29), 'rate': 5, 'updated_at': datetime.datetime(2014, 7, 13, 23, 12, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '397cc3e7-e0fd-4c73-9b4c-ade3a6d000bf', 'job_description': 'Re-contextualized needs-based forecast', 'start_date': datetime.datetime(2012, 12, 12, 3, 38, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 18, 12, 54, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 20, 6, 31, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '985e8217-41e5-410d-8f49-65edfad6042c', 'end_date': datetime.datetime(2016, 11, 16, 7, 59, 26), 'start_time': datetime.datetime(2011, 5, 18, 12, 43, 41), 'rate': 5, 'updated_at': datetime.datetime(2017, 10, 3, 6, 27, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3f7275cb-e3cc-4c3d-a96f-6ab26dddf798', 'job_description': 'Monitored heuristic strategy', 'start_date': datetime.datetime(2016, 5, 9, 16, 38, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 29, 6, 22, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 16, 9, 7, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6eec1c38-6445-4a51-9e5e-23d929bd3e1f', 'end_date': datetime.datetime(2012, 9, 13, 11, 38, 10), 'start_time': datetime.datetime(2012, 1, 29, 18, 7, 48), 'rate': 4, 'updated_at': datetime.datetime(2016, 1, 4, 23, 39, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6cff13d6-bdc7-49de-b34d-11556fbebf68', 'job_description': 'Team-oriented tangible matrices', 'start_date': datetime.datetime(2011, 12, 20, 19, 38, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 16, 2, 47, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 21, 1, 24, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a06d5bed-5848-4661-a896-1ade10ce60de', 'end_date': datetime.datetime(2014, 5, 25, 18, 26, 53), 'start_time': datetime.datetime(2014, 11, 16, 11, 16, 57), 'rate': 5, 'updated_at': datetime.datetime(2016, 1, 15, 12, 15, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Equatorial Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8c7ccf0a-0892-40f2-85f7-432f20e244a3', 'job_description': 'Reverse-engineered logistical knowledge base', 'start_date': datetime.datetime(2015, 11, 9, 8, 50, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 21, 16, 52, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 26, 10, 32, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a9734d28-e0e5-4a09-b06e-20778d60770b', 'end_date': datetime.datetime(2013, 4, 1, 22, 27, 39), 'start_time': datetime.datetime(2014, 8, 19, 7, 1, 50), 'rate': 5, 'updated_at': datetime.datetime(2011, 8, 13, 9, 26, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'af3940e6-035c-4629-956c-d8afcdb13466', 'job_description': 'Stand-alone attitude-oriented flexibility', 'start_date': datetime.datetime(2018, 2, 5, 9, 31, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 23, 15, 10, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 28, 11, 52, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a215ebe9-a392-4cde-b289-ff3835368f89', 'end_date': datetime.datetime(2017, 11, 23, 13, 13, 33), 'start_time': datetime.datetime(2019, 6, 14, 19, 46, 19), 'rate': 2, 'updated_at': datetime.datetime(2016, 2, 10, 3, 37, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ab4e2eea-b90b-42f9-a23f-752161bc3819', 'job_description': 'Quality-focused non-volatile analyzer', 'start_date': datetime.datetime(2012, 8, 30, 22, 23, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 15, 1, 16, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 17, 19, 43, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '269cbb44-618d-4698-b0ac-660297c7a6f6', 'end_date': datetime.datetime(2014, 4, 1, 17, 10, 22), 'start_time': datetime.datetime(2017, 9, 4, 18, 20, 40), 'rate': 1, 'updated_at': datetime.datetime(2012, 5, 2, 15, 24, 8), 'job_title': 'CoffeeMaker', 'service_id': 'French Polynesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6c84f9a1-06e3-429a-88ea-379b1ce56154', 'job_description': 'Digitized motivating middleware', 'start_date': datetime.datetime(2013, 5, 15, 17, 4, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 11, 12, 21, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 20, 4, 44, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c1cab712-7e4e-47db-893b-10de197a4e9c', 'end_date': datetime.datetime(2018, 4, 4, 13, 26, 42), 'start_time': datetime.datetime(2013, 12, 27, 18, 44, 36), 'rate': 3, 'updated_at': datetime.datetime(2014, 12, 11, 16, 10, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
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{'_id': 'c7472481-7736-4ead-988c-7693177302fe', 'job_description': 'Synchronised 24 hour challenge', 'start_date': datetime.datetime(2012, 1, 12, 0, 45, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 2, 6, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 1, 1, 37, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '91cd51b9-81cf-4879-b787-179f3116fdc4', 'end_date': datetime.datetime(2016, 8, 2, 5, 12, 24), 'start_time': datetime.datetime(2016, 10, 1, 7, 12, 27), 'rate': 1, 'updated_at': datetime.datetime(2010, 7, 31, 22, 18, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f36adcd7-7829-4e31-b9fd-77cce3013e29', 'job_description': 'Programmable zero defect productivity', 'start_date': datetime.datetime(2012, 2, 24, 19, 32, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 21, 22, 20, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 10, 7, 39, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4e4a6260-ad5a-4e1e-b169-7e2ff5bdf131', 'end_date': datetime.datetime(2018, 8, 25, 13, 34, 20), 'start_time': datetime.datetime(2016, 1, 29, 2, 15, 32), 'rate': 1, 'updated_at': datetime.datetime(2013, 5, 4, 3, 2, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7a4b0a14-ebff-4029-a87e-1ad3a2c0ab1c', 'job_description': 'Networked mobile data-warehouse', 'start_date': datetime.datetime(2010, 5, 11, 11, 20, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 8, 0, 10, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 5, 15, 11, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57a09a52-2eda-49bc-be52-f974f994d0da', 'end_date': datetime.datetime(2015, 12, 6, 15, 1, 19), 'start_time': datetime.datetime(2010, 3, 8, 2, 30, 9), 'rate': 1, 'updated_at': datetime.datetime(2016, 5, 25, 22, 26, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Macedonia', 'special_note': 'thanks'}
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{'_id': '4ad0b619-3baf-48bf-9bdf-6de0fe33f8ce', 'job_description': 'De-engineered encompassing parallelism', 'start_date': datetime.datetime(2018, 1, 21, 22, 34, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 8, 7, 58, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 17, 9, 16, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e07f08c-7f82-44e2-a51e-6d1ad932c39c', 'end_date': datetime.datetime(2017, 12, 4, 5, 45, 19), 'start_time': datetime.datetime(2015, 11, 25, 1, 17, 55), 'rate': 5, 'updated_at': datetime.datetime(2014, 7, 26, 10, 2, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
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{'_id': 'ff737ef0-8e0b-4ee3-983b-94b0ce0038cb', 'job_description': 'Integrated upward-trending protocol', 'start_date': datetime.datetime(2012, 12, 15, 16, 10, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 14, 21, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 20, 6, 39, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b40599b2-30c0-466a-809e-f734a7a7f188', 'end_date': datetime.datetime(2016, 10, 27, 16, 57, 48), 'start_time': datetime.datetime(2018, 9, 27, 5, 17, 35), 'rate': 2, 'updated_at': datetime.datetime(2019, 5, 12, 18, 47, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
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{'_id': 'c369a5a6-6df2-425a-a6c5-f4887b6b11e3', 'job_description': 'Implemented foreground interface', 'start_date': datetime.datetime(2015, 3, 1, 22, 6, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 10, 22, 18, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 28, 6, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ef6b2105-a454-471c-978a-7f041d169cf3', 'end_date': datetime.datetime(2017, 3, 18, 23, 56, 49), 'start_time': datetime.datetime(2015, 12, 4, 7, 43, 25), 'rate': 3, 'updated_at': datetime.datetime(2014, 8, 12, 20, 17, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': '50ea42c5-81e1-4767-859f-161a061ecf1c', 'job_description': 'Expanded directional circuit', 'start_date': datetime.datetime(2010, 3, 30, 8, 53, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 22, 23, 11, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 8, 13, 2, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ddcb21b-6d00-42ac-8fbe-eef58be7c0e4', 'end_date': datetime.datetime(2015, 4, 24, 23, 28, 26), 'start_time': datetime.datetime(2018, 1, 10, 3, 12, 35), 'rate': 5, 'updated_at': datetime.datetime(2013, 8, 27, 16, 11, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6934f807-4730-4305-b1e6-daf5f3512c37', 'job_description': 'Horizontal optimizing architecture', 'start_date': datetime.datetime(2017, 8, 8, 17, 49, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 19, 15, 47, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 7, 11, 47, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1aac1864-44a1-4236-af7d-969a8fe40bbc', 'end_date': datetime.datetime(2016, 3, 24, 17, 58, 45), 'start_time': datetime.datetime(2018, 12, 16, 18, 48, 13), 'rate': 4, 'updated_at': datetime.datetime(2014, 1, 26, 19, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd1b952b3-52f3-4e6c-bac9-95a25ad7cfea', 'job_description': 'Implemented regional capability', 'start_date': datetime.datetime(2013, 4, 17, 4, 54, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 22, 8, 17, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 1, 7, 38, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '616274f0-f3a6-4ab9-ad47-f8684f058716', 'end_date': datetime.datetime(2014, 9, 18, 0, 0, 50), 'start_time': datetime.datetime(2010, 9, 26, 14, 17, 22), 'rate': 4, 'updated_at': datetime.datetime(2016, 10, 22, 10, 35, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '29dfd368-d57e-4748-9190-66be8675790a', 'job_description': 'Switchable 6th generation synergy', 'start_date': datetime.datetime(2012, 12, 16, 3, 43, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 25, 3, 8, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 7, 12, 8, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4462fe7b-309a-4bae-b189-2a32782d6f4d', 'end_date': datetime.datetime(2019, 11, 26, 11, 33, 19), 'start_time': datetime.datetime(2015, 7, 19, 9, 22, 54), 'rate': 2, 'updated_at': datetime.datetime(2018, 10, 5, 18, 16, 38), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f95b7f1c-d0d8-4ad9-a1eb-6fe6bb1112ee', 'job_description': 'Face to face homogeneous project', 'start_date': datetime.datetime(2010, 12, 20, 10, 35, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 15, 5, 22, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 12, 22, 16, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2869ebb1-2560-4ce3-92ca-3e5d7bf3c1ed', 'end_date': datetime.datetime(2010, 6, 13, 11, 6, 41), 'start_time': datetime.datetime(2019, 6, 28, 19, 23, 42), 'rate': 1, 'updated_at': datetime.datetime(2015, 9, 8, 13, 55, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
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{'_id': '81a4685d-7384-4e4b-9c20-b17ef9c60d81', 'job_description': 'Implemented intermediate array', 'start_date': datetime.datetime(2013, 12, 29, 21, 22, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 18, 1, 1, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 14, 15, 55, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '22070061-a0d1-4107-ae49-487ab0ab123f', 'end_date': datetime.datetime(2017, 5, 26, 12, 41, 41), 'start_time': datetime.datetime(2013, 4, 11, 4, 7, 15), 'rate': 1, 'updated_at': datetime.datetime(2016, 11, 26, 2, 7, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a90200a4-ad0f-4183-8248-d672d8b98cdb', 'job_description': 'Synergistic tangible leverage', 'start_date': datetime.datetime(2013, 7, 27, 20, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 2, 1, 9, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 4, 16, 10, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0735b011-6531-484c-a3b0-644f01bf01e6', 'end_date': datetime.datetime(2018, 10, 17, 8, 49, 22), 'start_time': datetime.datetime(2013, 5, 4, 10, 22, 23), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 19, 7, 33, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Sri Lanka', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '66b05ba8-b3e5-45ae-b737-cc1132c1e4b0', 'job_description': 'Customer-focused global pricing structure', 'start_date': datetime.datetime(2017, 5, 15, 23, 59, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 20, 13, 29, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 23, 0, 25, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0372047a-e882-4d03-bf92-f296b2f20314', 'end_date': datetime.datetime(2019, 11, 16, 17, 47, 15), 'start_time': datetime.datetime(2010, 6, 16, 3, 5, 32), 'rate': 2, 'updated_at': datetime.datetime(2016, 5, 30, 2, 17, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '571f49fa-f8ed-45b7-b094-35e07f78c4fe', 'job_description': 'Realigned bifurcated collaboration', 'start_date': datetime.datetime(2014, 10, 5, 4, 52, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 1, 17, 10, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 20, 15, 34, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c06684d5-4fdb-44b9-bb8b-ecca79bc1587', 'end_date': datetime.datetime(2011, 12, 3, 9, 40, 18), 'start_time': datetime.datetime(2018, 6, 9, 21, 19, 44), 'rate': 1, 'updated_at': datetime.datetime(2014, 1, 19, 4, 27, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4cfa6290-979c-4de7-97e2-618cb63703f1', 'job_description': 'Up-sized dynamic parallelism', 'start_date': datetime.datetime(2010, 11, 16, 2, 15, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 28, 15, 46, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 3, 17, 14, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '71bce341-8108-4a5e-b9c5-4c125ee902d1', 'end_date': datetime.datetime(2018, 10, 31, 18, 30, 55), 'start_time': datetime.datetime(2016, 7, 16, 10, 13, 52), 'rate': 4, 'updated_at': datetime.datetime(2014, 8, 4, 0, 41, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'caabc732-8e8e-4d84-ac9e-5c321ef25b77', 'job_description': 'Synergized even-keeled encoding', 'start_date': datetime.datetime(2016, 8, 3, 15, 12, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 17, 6, 39, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 25, 23, 27, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '37cb3d82-895d-4c5e-924c-8027f5462e27', 'end_date': datetime.datetime(2010, 2, 23, 8, 23, 3), 'start_time': datetime.datetime(2012, 4, 12, 3, 22, 14), 'rate': 5, 'updated_at': datetime.datetime(2016, 6, 19, 10, 33, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '63306e48-7b4c-4eb2-81c4-5ba4876e502c', 'job_description': 'Multi-lateral static monitoring', 'start_date': datetime.datetime(2015, 11, 6, 0, 59, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 28, 3, 6, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 7, 10, 55, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4aafa604-dba1-496a-9817-c2ecb25ae778', 'end_date': datetime.datetime(2010, 5, 15, 3, 4, 49), 'start_time': datetime.datetime(2011, 9, 26, 10, 39, 51), 'rate': 3, 'updated_at': datetime.datetime(2016, 10, 31, 23, 16, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '47cb3431-e636-4df4-91de-0c6aaba9705a', 'job_description': 'Stand-alone system-worthy algorithm', 'start_date': datetime.datetime(2013, 3, 3, 17, 55, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 16, 15, 29, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 2, 10, 22, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f564b475-029d-4585-9d86-43016cb7698c', 'end_date': datetime.datetime(2018, 12, 14, 0, 50, 7), 'start_time': datetime.datetime(2012, 6, 13, 20, 5, 30), 'rate': 1, 'updated_at': datetime.datetime(2014, 2, 1, 16, 27, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '07e667a6-c131-4331-b448-d30a1463be16', 'job_description': 'Programmable multi-tasking open architecture', 'start_date': datetime.datetime(2019, 10, 9, 9, 3, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 5, 19, 55, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 20, 2, 55, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd5641637-653d-42f1-8a1c-5db1bf017540', 'end_date': datetime.datetime(2018, 4, 1, 2, 36, 42), 'start_time': datetime.datetime(2015, 4, 18, 9, 17, 48), 'rate': 5, 'updated_at': datetime.datetime(2014, 8, 23, 14, 35, 20), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0011c649-6914-4bfc-9f54-cd20269745d5', 'job_description': 'Organic background strategy', 'start_date': datetime.datetime(2018, 12, 5, 4, 9, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 17, 14, 30, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 12, 23, 48, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d4507c2-2bd7-4613-b610-6052378904ca', 'end_date': datetime.datetime(2018, 4, 6, 4, 8, 57), 'start_time': datetime.datetime(2016, 10, 10, 8, 12, 19), 'rate': 1, 'updated_at': datetime.datetime(2010, 1, 30, 12, 21, 9), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fbc6477d-2c0a-44e6-9fdf-ecd3264a6199', 'job_description': 'User-friendly bottom-line toolset', 'start_date': datetime.datetime(2018, 10, 19, 22, 24, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 21, 23, 42, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 28, 3, 39, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e718ba64-56fa-447a-9d70-850da2344676', 'end_date': datetime.datetime(2016, 5, 15, 10, 36, 44), 'start_time': datetime.datetime(2015, 5, 30, 18, 46, 13), 'rate': 3, 'updated_at': datetime.datetime(2018, 7, 19, 22, 49, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '94888bfd-069f-4b95-935c-0671c1f9a0f1', 'job_description': 'Profound disintermediate encoding', 'start_date': datetime.datetime(2016, 1, 27, 12, 21, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 7, 21, 37, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 19, 3, 26, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4c84c259-e938-4130-9cc4-1bfe890355b1', 'end_date': datetime.datetime(2018, 8, 13, 11, 51, 59), 'start_time': datetime.datetime(2012, 6, 21, 21, 33, 1), 'rate': 3, 'updated_at': datetime.datetime(2019, 8, 7, 12, 29, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd05948ff-9bf2-4f48-9bd8-71cc1489e664', 'job_description': 'Inverse human-resource productivity', 'start_date': datetime.datetime(2018, 12, 25, 2, 41, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 18, 7, 11, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 17, 10, 16, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '805f3c24-6bed-46a7-8217-18fd461251bc', 'end_date': datetime.datetime(2010, 2, 24, 20, 33, 23), 'start_time': datetime.datetime(2011, 2, 6, 11, 4, 48), 'rate': 3, 'updated_at': datetime.datetime(2014, 5, 24, 8, 10, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a1a86891-d320-4a4f-929e-733e85a459cd', 'job_description': 'Multi-tiered mobile policy', 'start_date': datetime.datetime(2011, 11, 18, 14, 27, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 29, 0, 0, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 25, 16, 21, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3c0d8e08-2903-43cd-b4ec-d3f3c856b039', 'end_date': datetime.datetime(2017, 5, 11, 23, 0, 18), 'start_time': datetime.datetime(2016, 10, 22, 2, 36, 44), 'rate': 1, 'updated_at': datetime.datetime(2010, 3, 12, 9, 6, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3dd09cf7-6615-4cbd-bc18-cf6b6bdbe8f8', 'job_description': 'Customer-focused modular array', 'start_date': datetime.datetime(2012, 7, 27, 1, 26, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 22, 3, 26, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 7, 22, 56, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a4e9db85-7c03-46e7-b90d-b2dabecaa957', 'end_date': datetime.datetime(2015, 4, 5, 13, 21, 37), 'start_time': datetime.datetime(2017, 7, 25, 17, 26, 34), 'rate': 4, 'updated_at': datetime.datetime(2019, 7, 15, 7, 23, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
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{'_id': 'e7112af2-e6f1-40db-a5ed-3acb8f9583bb', 'job_description': 'Balanced tangible moderator', 'start_date': datetime.datetime(2014, 7, 30, 22, 21, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 13, 16, 16, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 12, 2, 33, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6cb414cc-05a0-466b-b27e-dc8d2ebef71f', 'end_date': datetime.datetime(2013, 10, 15, 7, 51, 7), 'start_time': datetime.datetime(2019, 9, 12, 18, 9, 45), 'rate': 4, 'updated_at': datetime.datetime(2013, 1, 15, 13, 35, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
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{'_id': '59b30ea8-cf81-42c7-ae41-df7a3a266d0a', 'job_description': 'Function-based web-enabled database', 'start_date': datetime.datetime(2017, 6, 21, 1, 43, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 25, 23, 18, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 25, 11, 17, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ff3f30df-68d1-4b8e-bf36-d73a84bc3d95', 'end_date': datetime.datetime(2014, 7, 12, 16, 47, 24), 'start_time': datetime.datetime(2016, 12, 10, 21, 19, 49), 'rate': 5, 'updated_at': datetime.datetime(2012, 1, 22, 16, 59, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Trinidad and Tobago', 'special_note': 'thanks'}
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{'_id': 'fec29a18-6c86-4339-a2cd-ed76e666cfc3', 'job_description': 'Streamlined full-range alliance', 'start_date': datetime.datetime(2018, 10, 6, 22, 34, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 1, 7, 55, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 24, 16, 35, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f81f830-a14e-4d00-b98c-b2fefb671105', 'end_date': datetime.datetime(2013, 5, 25, 11, 41, 34), 'start_time': datetime.datetime(2016, 3, 21, 18, 28, 4), 'rate': 1, 'updated_at': datetime.datetime(2012, 4, 6, 21, 6, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
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{'_id': 'cb6e0345-34a9-467c-85b2-aedd688a51ef', 'job_description': 'Seamless tertiary definition', 'start_date': datetime.datetime(2013, 10, 22, 6, 48, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 19, 4, 32, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 10, 14, 34, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3f5b9ec4-8f42-4db0-9688-9986a81ff5ad', 'end_date': datetime.datetime(2010, 11, 13, 16, 3, 32), 'start_time': datetime.datetime(2017, 2, 10, 17, 48, 39), 'rate': 3, 'updated_at': datetime.datetime(2017, 9, 3, 16, 10, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
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{'_id': 'a6922135-bb00-491e-9d98-007c9ce21fd3', 'job_description': 'Robust fault-tolerant data-warehouse', 'start_date': datetime.datetime(2013, 3, 22, 19, 22, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 1, 19, 45, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 24, 16, 57, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea8f06b7-4da0-47d4-876d-96ffb6ae430b', 'end_date': datetime.datetime(2019, 2, 7, 14, 30, 30), 'start_time': datetime.datetime(2010, 8, 22, 9, 12, 56), 'rate': 4, 'updated_at': datetime.datetime(2011, 8, 16, 2, 16, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Rwanda', 'special_note': 'thanks'}
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{'_id': 'f0654461-1693-41f2-8c21-30480b73a4fc', 'job_description': 'Object-based actuating info-mediaries', 'start_date': datetime.datetime(2014, 6, 6, 6, 44, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 28, 18, 51, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 26, 8, 10, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e2ca79e8-24dc-43f4-be6e-70549f90f84e', 'end_date': datetime.datetime(2015, 7, 16, 2, 24, 21), 'start_time': datetime.datetime(2016, 10, 31, 5, 35, 21), 'rate': 3, 'updated_at': datetime.datetime(2015, 11, 3, 11, 31, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
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{'_id': '0e00f547-acfc-497c-bc0b-bb1b01b38721', 'job_description': 'Extended systematic Graphic Interface', 'start_date': datetime.datetime(2016, 3, 22, 13, 9, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 10, 3, 30, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 18, 2, 36, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '12a9b8a8-c558-4bc7-abce-6973123d669f', 'end_date': datetime.datetime(2015, 5, 11, 5, 22, 29), 'start_time': datetime.datetime(2017, 2, 10, 2, 0, 38), 'rate': 3, 'updated_at': datetime.datetime(2018, 7, 30, 7, 33, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
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{'_id': 'a8b84867-22f7-476f-bcc7-35bc62d73ccb', 'job_description': 'Reactive background hardware', 'start_date': datetime.datetime(2017, 7, 29, 4, 58, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 29, 22, 30, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 24, 3, 35, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bbff7a9a-3c27-4a6a-8f4a-d72bd9a0c068', 'end_date': datetime.datetime(2012, 11, 28, 11, 37, 58), 'start_time': datetime.datetime(2014, 12, 9, 5, 22, 45), 'rate': 3, 'updated_at': datetime.datetime(2015, 12, 29, 20, 36, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
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{'_id': '27e58dd4-ba3c-40d8-994a-66ac399c58a4', 'job_description': 'Fully-configurable transitional capacity', 'start_date': datetime.datetime(2019, 7, 25, 5, 18, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 14, 21, 23, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 18, 14, 51, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9c853179-f382-420a-8994-74537d1be47a', 'end_date': datetime.datetime(2015, 6, 4, 16, 39, 43), 'start_time': datetime.datetime(2017, 10, 18, 22, 42, 9), 'rate': 2, 'updated_at': datetime.datetime(2013, 6, 28, 15, 52, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
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{'_id': 'a9885953-864f-45a6-aa4b-1476b7718438', 'job_description': 'Grass-roots systematic protocol', 'start_date': datetime.datetime(2012, 1, 27, 16, 12, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 7, 23, 7, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 13, 4, 10, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e776756e-d072-43c3-9fed-ecbc4f21bb3e', 'end_date': datetime.datetime(2010, 11, 14, 5, 16, 16), 'start_time': datetime.datetime(2013, 7, 18, 9, 21, 17), 'rate': 2, 'updated_at': datetime.datetime(2015, 3, 28, 13, 53, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': '0030eb26-267b-4719-9228-1536cc543c6a', 'job_description': 'Multi-layered stable circuit', 'start_date': datetime.datetime(2011, 2, 27, 18, 54, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 29, 8, 38, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 8, 2, 20, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '17e81bd0-de6f-4d54-9343-3b30671339dc', 'end_date': datetime.datetime(2014, 8, 25, 15, 40, 17), 'start_time': datetime.datetime(2013, 5, 25, 19, 0, 35), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 30, 17, 15, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
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{'_id': 'd614267b-7a04-42fa-ac89-9f8c3465b0e8', 'job_description': 'Horizontal 24/7 help-desk', 'start_date': datetime.datetime(2016, 4, 3, 0, 49, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 19, 6, 19, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 26, 2, 27, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f283ed65-0c1e-435d-a974-28b567b2705c', 'end_date': datetime.datetime(2015, 4, 30, 1, 14, 51), 'start_time': datetime.datetime(2011, 1, 20, 19, 2, 47), 'rate': 3, 'updated_at': datetime.datetime(2019, 5, 4, 5, 57, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': 'b72f9bce-c71b-4f81-804b-925e82cf4481', 'job_description': 'Innovative optimal moratorium', 'start_date': datetime.datetime(2014, 2, 11, 23, 7, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 25, 10, 0, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 31, 17, 41, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3efcf0d0-636d-49b9-af78-8bcdc6a3ce5d', 'end_date': datetime.datetime(2019, 11, 17, 2, 0, 12), 'start_time': datetime.datetime(2014, 11, 10, 2, 41, 20), 'rate': 3, 'updated_at': datetime.datetime(2010, 9, 15, 5, 6, 37), 'job_title': 'CoffeeMaker', 'service_id': 'United States Minor Outlying Islands', 'special_note': 'thanks'}
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{'_id': '64b28f07-2eea-44e0-9fa9-f17561022215', 'job_description': 'Universal multi-tasking database', 'start_date': datetime.datetime(2017, 1, 12, 1, 18, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 9, 21, 14, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 22, 7, 35, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e2ee8350-303e-414e-805b-5984ac66d7b4', 'end_date': datetime.datetime(2016, 6, 5, 16, 51, 8), 'start_time': datetime.datetime(2017, 7, 11, 15, 25, 56), 'rate': 2, 'updated_at': datetime.datetime(2015, 12, 29, 21, 38, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
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{'_id': 'e2e860ac-a70c-4b0f-8563-62f2ced7c5d3', 'job_description': 'Team-oriented holistic customer loyalty', 'start_date': datetime.datetime(2015, 11, 4, 21, 52, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 2, 5, 20, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 15, 17, 5, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5ed3e198-5056-4f22-97c8-3352460f5693', 'end_date': datetime.datetime(2012, 7, 4, 11, 3, 50), 'start_time': datetime.datetime(2013, 12, 5, 7, 16, 53), 'rate': 4, 'updated_at': datetime.datetime(2018, 10, 5, 19, 43, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Aruba', 'special_note': 'thanks'}
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{'_id': '3a4b4e85-8727-4620-9c9e-f21581b6ec44', 'job_description': 'Vision-oriented context-sensitive capability', 'start_date': datetime.datetime(2018, 10, 31, 22, 38, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 14, 22, 10, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 9, 18, 20, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f178072d-7b0e-4d49-a470-b1914c452795', 'end_date': datetime.datetime(2011, 9, 30, 9, 6, 15), 'start_time': datetime.datetime(2012, 12, 9, 15, 10, 58), 'rate': 5, 'updated_at': datetime.datetime(2017, 9, 2, 1, 9, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
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{'_id': 'c5d2c694-d2b5-4a04-8811-0b750daa6b79', 'job_description': 'Seamless 3rd generation circuit', 'start_date': datetime.datetime(2010, 5, 22, 19, 57, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 31, 8, 34, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 28, 2, 51, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2b20b3b0-b729-4a4c-a7ce-b020676a51eb', 'end_date': datetime.datetime(2015, 4, 14, 23, 57, 10), 'start_time': datetime.datetime(2019, 11, 2, 7, 57, 17), 'rate': 1, 'updated_at': datetime.datetime(2010, 4, 22, 9, 45, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
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{'_id': '734f62d8-2844-473f-b0d0-32da14fd7e2b', 'job_description': 'Synergized maximized attitude', 'start_date': datetime.datetime(2018, 11, 8, 6, 58, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 28, 14, 4, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 11, 23, 48, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0a0cb78d-623e-4644-833a-c91b7c06b4ad', 'end_date': datetime.datetime(2019, 5, 29, 15, 55, 19), 'start_time': datetime.datetime(2019, 3, 7, 12, 7, 42), 'rate': 5, 'updated_at': datetime.datetime(2018, 9, 15, 13, 21, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Ukraine', 'special_note': 'thanks'}
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{'_id': '7e3d73c9-ffaf-4607-8aae-1d0577d81e68', 'job_description': 'Expanded intangible knowledge user', 'start_date': datetime.datetime(2015, 4, 8, 10, 8, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 3, 17, 30, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 25, 8, 7, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c084c524-35ad-48c0-8bb3-8ca25a8a13a4', 'end_date': datetime.datetime(2013, 11, 3, 16, 27, 2), 'start_time': datetime.datetime(2018, 1, 22, 4, 32, 52), 'rate': 2, 'updated_at': datetime.datetime(2019, 4, 23, 11, 26, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '71b0a7d4-4779-41c1-ac02-107d58c65950', 'job_description': 'Adaptive grid-enabled moratorium', 'start_date': datetime.datetime(2018, 7, 31, 11, 15, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 6, 6, 6, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 21, 19, 51, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e54ca4f-9d27-46b2-9a82-3c049fd6ca21', 'end_date': datetime.datetime(2013, 5, 30, 22, 36, 51), 'start_time': datetime.datetime(2017, 11, 7, 14, 48, 51), 'rate': 2, 'updated_at': datetime.datetime(2012, 11, 2, 21, 41, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
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{'_id': '86531897-d823-4906-b622-ade184047d9f', 'job_description': 'Integrated mobile interface', 'start_date': datetime.datetime(2019, 4, 19, 12, 2, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 30, 20, 40, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 11, 4, 53, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd4afe320-c31d-4bc4-b8f1-27fa137876ff', 'end_date': datetime.datetime(2019, 6, 5, 13, 32, 27), 'start_time': datetime.datetime(2017, 4, 13, 6, 26, 49), 'rate': 2, 'updated_at': datetime.datetime(2018, 11, 4, 8, 28, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'deb22334-a784-4c20-93c4-bb27302b5b1b', 'job_description': 'Enterprise-wide 5th generation circuit', 'start_date': datetime.datetime(2018, 3, 12, 9, 27, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 2, 17, 34, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 22, 3, 53, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4c802da0-1736-412d-9e24-65176e9dd082', 'end_date': datetime.datetime(2013, 4, 26, 0, 24, 25), 'start_time': datetime.datetime(2013, 7, 23, 10, 0, 3), 'rate': 2, 'updated_at': datetime.datetime(2015, 3, 14, 18, 5, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '17ac4652-38b5-42e0-be38-575c99424fc4', 'job_description': 'Implemented full-range help-desk', 'start_date': datetime.datetime(2014, 7, 2, 19, 30, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 20, 4, 29, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 4, 8, 38, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '97fd1cfa-f90a-4f04-9407-be6145570b8f', 'end_date': datetime.datetime(2014, 11, 26, 0, 48, 31), 'start_time': datetime.datetime(2016, 9, 21, 11, 40, 31), 'rate': 4, 'updated_at': datetime.datetime(2011, 9, 14, 2, 51, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78f41d66-0882-494d-aa08-97c7acfa40f7', 'job_description': 'Fundamental demand-driven secured line', 'start_date': datetime.datetime(2016, 8, 15, 4, 53, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 3, 1, 39, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 16, 7, 45, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '198c3b36-0a12-414a-90d3-f1e5b8733d01', 'end_date': datetime.datetime(2019, 11, 18, 23, 47, 38), 'start_time': datetime.datetime(2011, 1, 23, 14, 28, 51), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 27, 15, 58, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0958bc7f-28e2-4b47-946f-38358f05b26c', 'job_description': 'Ameliorated solution-oriented budgetary management', 'start_date': datetime.datetime(2013, 11, 5, 17, 39, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 1, 13, 20, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 31, 23, 33, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '26cb0271-65ac-40ba-a600-e1a07dd5d8e0', 'end_date': datetime.datetime(2019, 8, 21, 16, 25, 5), 'start_time': datetime.datetime(2017, 4, 20, 14, 42, 51), 'rate': 4, 'updated_at': datetime.datetime(2014, 10, 24, 2, 42, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '12d89e94-0f55-48b7-8dd0-f5bb38918da2', 'job_description': 'Switchable analyzing flexibility', 'start_date': datetime.datetime(2017, 6, 24, 22, 48, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 21, 11, 19, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 17, 19, 19, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '78c90741-1b8a-4b17-9ae5-3272a6acf82a', 'end_date': datetime.datetime(2018, 9, 7, 21, 45, 1), 'start_time': datetime.datetime(2013, 12, 31, 10, 18, 35), 'rate': 4, 'updated_at': datetime.datetime(2016, 12, 3, 22, 22, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Cook Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9622f82c-e742-4e75-9297-4c9704162668', 'job_description': 'Networked disintermediate intranet', 'start_date': datetime.datetime(2012, 10, 22, 14, 28, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 24, 10, 23, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 10, 19, 23, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a50bb70f-81bf-451e-bbd8-c7ddbf070701', 'end_date': datetime.datetime(2016, 5, 14, 8, 30, 9), 'start_time': datetime.datetime(2010, 12, 13, 9, 9, 3), 'rate': 2, 'updated_at': datetime.datetime(2019, 1, 12, 10, 36, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ad8a559-3b4f-45a5-b360-418c0879e140', 'job_description': 'Multi-lateral bi-directional installation', 'start_date': datetime.datetime(2013, 7, 5, 15, 23, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 24, 0, 9, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 27, 18, 21, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '355f5ba9-4cac-4962-b9a3-0b1cce0b4f6e', 'end_date': datetime.datetime(2013, 5, 6, 5, 49, 19), 'start_time': datetime.datetime(2012, 8, 11, 7, 42, 16), 'rate': 4, 'updated_at': datetime.datetime(2015, 6, 5, 0, 6, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4ec4459e-777f-41d3-ac85-2fb6b1196423', 'job_description': 'Front-line clear-thinking website', 'start_date': datetime.datetime(2011, 1, 31, 5, 12, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 31, 6, 40, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 20, 19, 26, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd2f243b8-f62e-4c7a-9967-d13d2996947d', 'end_date': datetime.datetime(2013, 1, 21, 18, 52, 57), 'start_time': datetime.datetime(2011, 9, 10, 20, 53, 29), 'rate': 4, 'updated_at': datetime.datetime(2018, 3, 6, 21, 6, 2), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ec920a47-6b30-411a-911d-c6c437cf0944', 'job_description': 'Profit-focused interactive productivity', 'start_date': datetime.datetime(2016, 3, 29, 9, 53, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 1, 5, 8, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 9, 3, 38, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf43ea70-7766-4785-ba41-9127ee9d2b8f', 'end_date': datetime.datetime(2017, 6, 11, 16, 33, 47), 'start_time': datetime.datetime(2013, 2, 12, 22, 34, 4), 'rate': 2, 'updated_at': datetime.datetime(2018, 5, 5, 18, 41, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2881f690-b3cd-4399-b95e-8c7d4f44842e', 'job_description': 'Pre-emptive systemic frame', 'start_date': datetime.datetime(2016, 2, 11, 21, 49, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 26, 11, 21, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 22, 13, 15, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '462220f6-8c8e-4c4e-8c65-84dac345eb1f', 'end_date': datetime.datetime(2017, 5, 13, 1, 48, 42), 'start_time': datetime.datetime(2011, 6, 18, 10, 19, 56), 'rate': 3, 'updated_at': datetime.datetime(2017, 7, 29, 23, 49, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8719effb-242f-4362-a927-291ec94dced5', 'job_description': 'Down-sized high-level moratorium', 'start_date': datetime.datetime(2015, 10, 9, 6, 40, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 1, 12, 58, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 29, 22, 6, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bcb2a8f6-0630-411d-9b0d-44b163b92f8d', 'end_date': datetime.datetime(2016, 11, 18, 2, 11, 4), 'start_time': datetime.datetime(2010, 6, 27, 6, 56, 6), 'rate': 3, 'updated_at': datetime.datetime(2015, 9, 11, 18, 47, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ccb73694-45e5-4b19-be25-75a8a0361f4a', 'job_description': 'Reverse-engineered leading edge algorithm', 'start_date': datetime.datetime(2011, 11, 15, 2, 18, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 1, 7, 26, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 3, 8, 2, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dca75ddc-bdff-4047-926b-87e74bf0fe86', 'end_date': datetime.datetime(2016, 6, 12, 22, 57, 59), 'start_time': datetime.datetime(2016, 4, 26, 22, 40, 53), 'rate': 5, 'updated_at': datetime.datetime(2012, 9, 14, 4, 21, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'da214100-0040-4594-81d2-47445e295f78', 'job_description': 'Progressive multimedia challenge', 'start_date': datetime.datetime(2018, 5, 12, 20, 24, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 23, 8, 22, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 25, 16, 32, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '184a6e71-8c67-4a00-94d3-c640c61f1d59', 'end_date': datetime.datetime(2013, 3, 4, 11, 29, 1), 'start_time': datetime.datetime(2014, 3, 18, 2, 57, 1), 'rate': 3, 'updated_at': datetime.datetime(2013, 2, 12, 13, 34, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '207cc2a0-c1b3-4403-b6de-0ba0a9cb9e61', 'job_description': 'Innovative contextually-based model', 'start_date': datetime.datetime(2017, 7, 22, 20, 41, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 9, 2, 39, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 10, 15, 50, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bdb12c5b-9f32-40aa-a289-60c705309c72', 'end_date': datetime.datetime(2015, 11, 6, 10, 46, 49), 'start_time': datetime.datetime(2011, 4, 12, 2, 50, 25), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 29, 4, 51, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bbe3393d-1530-45b2-82ed-6326ae72591f', 'job_description': 'Self-enabling exuding Graphical User Interface', 'start_date': datetime.datetime(2013, 7, 24, 13, 14, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 1, 21, 51, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 14, 13, 0, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9411e2dc-202d-4224-b681-0e87006e4fda', 'end_date': datetime.datetime(2010, 2, 22, 17, 25), 'start_time': datetime.datetime(2016, 12, 16, 10, 28, 35), 'rate': 1, 'updated_at': datetime.datetime(2015, 2, 23, 16, 2, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Bahamas', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5f812532-96ba-4a7e-925f-db18c69f553c', 'job_description': 'Configurable optimizing process improvement', 'start_date': datetime.datetime(2014, 4, 8, 9, 37, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 21, 17, 40, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 12, 9, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'be916dea-b1ec-4dcb-8312-e3456671d053', 'end_date': datetime.datetime(2016, 3, 24, 2, 0, 3), 'start_time': datetime.datetime(2014, 2, 25, 6, 31, 52), 'rate': 3, 'updated_at': datetime.datetime(2013, 4, 11, 13, 16, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Palestinian Territory', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e874f418-f41e-4cd2-9ba6-76483f4770a6', 'job_description': 'Organic web-enabled function', 'start_date': datetime.datetime(2019, 10, 11, 4, 9, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 17, 17, 17, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 22, 14, 50, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1e851365-b3d5-4076-bf0b-e42ba20b6c90', 'end_date': datetime.datetime(2015, 4, 27, 1, 30, 47), 'start_time': datetime.datetime(2012, 3, 2, 12, 20, 1), 'rate': 4, 'updated_at': datetime.datetime(2013, 2, 11, 14, 36, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Cambodia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd863e725-4b56-4763-b367-594ff0d34db3', 'job_description': 'Proactive leading edge workforce', 'start_date': datetime.datetime(2014, 2, 26, 0, 39, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 4, 10, 13, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 29, 1, 1, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b13472ac-309a-4027-99d7-d91e30cf5f6c', 'end_date': datetime.datetime(2012, 6, 8, 16, 51, 11), 'start_time': datetime.datetime(2012, 3, 12, 5, 17, 6), 'rate': 1, 'updated_at': datetime.datetime(2014, 2, 11, 19, 8, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Eritrea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd1b113a5-6287-4ec9-89ec-863905e15450', 'job_description': 'Automated maximized paradigm', 'start_date': datetime.datetime(2013, 12, 26, 13, 32, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 5, 19, 45, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 7, 16, 57, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3fed18d0-7fa0-421e-a08a-0ce9eb44692f', 'end_date': datetime.datetime(2011, 7, 25, 18, 52, 38), 'start_time': datetime.datetime(2019, 7, 21, 5, 8, 12), 'rate': 2, 'updated_at': datetime.datetime(2011, 10, 13, 19, 27, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Bosnia and Herzegovina', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f7dda6b8-d83c-453a-b9d6-07fc24098473', 'job_description': 'Enhanced assymetric structure', 'start_date': datetime.datetime(2010, 2, 4, 20, 23, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 30, 18, 26, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 7, 20, 28, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f1a85fd4-3b12-4287-8065-45b9c7e69c77', 'end_date': datetime.datetime(2019, 1, 14, 0, 19, 26), 'start_time': datetime.datetime(2017, 1, 7, 21, 15, 18), 'rate': 3, 'updated_at': datetime.datetime(2014, 2, 24, 0, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '70c23c3e-20c9-46df-b5b3-feb3547e4c7b', 'job_description': 'Upgradable analyzing concept', 'start_date': datetime.datetime(2013, 8, 3, 22, 51, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 24, 17, 14, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 12, 16, 0, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '56d71d7d-c434-4253-97e5-13376578701a', 'end_date': datetime.datetime(2015, 11, 26, 18, 47, 55), 'start_time': datetime.datetime(2017, 5, 29, 11, 15, 38), 'rate': 2, 'updated_at': datetime.datetime(2013, 1, 7, 8, 31, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6a7611a4-a9cc-42a3-82a5-64ed6acaf40c', 'job_description': 'Profound maximized focus group', 'start_date': datetime.datetime(2015, 8, 24, 0, 1, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 9, 12, 3, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 9, 18, 29, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '32c8abc5-44fd-4a7c-ba4a-02437a49b4fa', 'end_date': datetime.datetime(2013, 6, 13, 18, 25, 9), 'start_time': datetime.datetime(2018, 7, 9, 1, 1, 39), 'rate': 3, 'updated_at': datetime.datetime(2019, 2, 25, 6, 16, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd32016b6-0b2f-4af9-a5dc-f41b8859347f', 'job_description': 'Organized fault-tolerant orchestration', 'start_date': datetime.datetime(2017, 4, 9, 4, 36, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 2, 4, 42, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 10, 14, 27, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5916779-f02b-40fe-a1da-aa26aa3d206d', 'end_date': datetime.datetime(2013, 8, 12, 6, 0, 32), 'start_time': datetime.datetime(2016, 5, 13, 7, 0, 58), 'rate': 3, 'updated_at': datetime.datetime(2016, 1, 7, 8, 20, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '46ffc61d-1d1d-47a3-b206-48f75027fa2f', 'job_description': 'Phased regional migration', 'start_date': datetime.datetime(2017, 1, 29, 21, 20, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 8, 1, 23, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 5, 5, 30, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dd20fab8-b033-4ba6-a7b7-f329fe21be04', 'end_date': datetime.datetime(2018, 5, 3, 14, 54, 1), 'start_time': datetime.datetime(2012, 5, 16, 5, 4, 8), 'rate': 3, 'updated_at': datetime.datetime(2019, 8, 23, 22, 52, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78e0cd66-ef79-46c8-9f7b-88baad423ecb', 'job_description': 'Configurable secondary emulation', 'start_date': datetime.datetime(2012, 3, 6, 8, 32, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 25, 14, 3, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 22, 3, 43, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '21725c06-e22c-4e1f-8706-928417b9f778', 'end_date': datetime.datetime(2010, 11, 17, 20, 2, 24), 'start_time': datetime.datetime(2019, 10, 9, 14, 12, 6), 'rate': 3, 'updated_at': datetime.datetime(2019, 9, 19, 22, 25, 9), 'job_title': 'CoffeeMaker', 'service_id': 'British Indian Ocean Territory (Chagos Archipelago)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '21c744db-1c1d-434d-a009-6cc64142a3af', 'job_description': 'Total impactful installation', 'start_date': datetime.datetime(2016, 6, 3, 16, 34, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 5, 14, 41, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 10, 3, 25, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2d9b8fb1-9960-40c2-9074-6d574335b3ff', 'end_date': datetime.datetime(2019, 9, 4, 9, 38, 59), 'start_time': datetime.datetime(2011, 2, 14, 11, 58, 42), 'rate': 3, 'updated_at': datetime.datetime(2014, 6, 13, 10, 35, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Tokelau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '86269c1a-4422-4e19-b615-51096e296bfe', 'job_description': 'Profit-focused local productivity', 'start_date': datetime.datetime(2011, 11, 20, 1, 52, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 27, 23, 40, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 3, 18, 20, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f627eea6-e2b5-4d75-a1c0-c82592aba906', 'end_date': datetime.datetime(2010, 9, 15, 2, 12, 55), 'start_time': datetime.datetime(2010, 11, 3, 5, 28, 28), 'rate': 3, 'updated_at': datetime.datetime(2018, 9, 21, 0, 37, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a418b868-96fc-4536-9bd4-74715f2fa9e7', 'job_description': 'Synergized upward-trending data-warehouse', 'start_date': datetime.datetime(2011, 2, 28, 14, 56, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 18, 12, 11, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 8, 4, 50, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '076d6d2b-19b4-41d5-97e3-9e7574bcea25', 'end_date': datetime.datetime(2015, 9, 28, 23, 33, 14), 'start_time': datetime.datetime(2013, 11, 18, 21, 1, 58), 'rate': 3, 'updated_at': datetime.datetime(2011, 9, 1, 5, 22, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '59aaea54-fb4d-4cf5-8c1b-d60ea58a9005', 'job_description': 'Seamless 5th generation circuit', 'start_date': datetime.datetime(2015, 10, 13, 17, 54, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 9, 22, 7, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 10, 6, 14, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '62d88e70-6a7d-4658-b57e-e9984e020dc5', 'end_date': datetime.datetime(2010, 9, 28, 22, 1, 55), 'start_time': datetime.datetime(2018, 3, 19, 8, 59, 40), 'rate': 3, 'updated_at': datetime.datetime(2018, 5, 23, 9, 44, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a5c8f039-b60c-476c-a995-a2fc7d5ee376', 'job_description': 'Face to face 5th generation knowledge user', 'start_date': datetime.datetime(2011, 12, 27, 2, 25, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 30, 0, 37, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 30, 8, 41, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '17785b7c-1b36-4f7f-b001-96d2273546e0', 'end_date': datetime.datetime(2013, 5, 14, 23, 53, 42), 'start_time': datetime.datetime(2010, 9, 6, 14, 37, 9), 'rate': 1, 'updated_at': datetime.datetime(2018, 10, 11, 8, 9, 21), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '30794a12-f23d-4402-a62b-38c3f6ad0109', 'job_description': 'Progressive contextually-based hub', 'start_date': datetime.datetime(2014, 1, 31, 13, 19, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 2, 8, 59, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 26, 1, 29, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c623018-3498-4245-ab02-0f6715239165', 'end_date': datetime.datetime(2016, 1, 26, 8, 6, 46), 'start_time': datetime.datetime(2011, 9, 17, 16, 46, 44), 'rate': 1, 'updated_at': datetime.datetime(2018, 11, 28, 21, 22, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '677ba1a2-cb8d-4efe-87b3-3b4ebbe869f3', 'job_description': 'Visionary 6th generation intranet', 'start_date': datetime.datetime(2010, 12, 13, 4, 45, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 3, 23, 5, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 1, 4, 33, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '399a4c0f-137a-4e6a-ad23-8f45d4a384cb', 'end_date': datetime.datetime(2015, 6, 29, 18, 17, 3), 'start_time': datetime.datetime(2015, 2, 25, 15, 57, 58), 'rate': 3, 'updated_at': datetime.datetime(2018, 12, 19, 5, 47, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e0354ad8-16ae-4e4e-9853-64a00b19ad06', 'job_description': 'Extended bifurcated service-desk', 'start_date': datetime.datetime(2017, 9, 24, 14, 33, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 30, 2, 16, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 24, 2, 25, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '56e093cb-004a-4fc3-977a-88ec3a0724c9', 'end_date': datetime.datetime(2017, 1, 9, 14, 19, 5), 'start_time': datetime.datetime(2011, 9, 26, 19, 47, 10), 'rate': 3, 'updated_at': datetime.datetime(2017, 8, 30, 17, 30, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd3876d5a-45ec-4087-958d-9e20b667b620', 'job_description': 'Multi-lateral systematic benchmark', 'start_date': datetime.datetime(2013, 9, 10, 22, 33, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 28, 16, 31, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 12, 15, 51, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ab3ea323-7278-4d6b-80a6-7901410c587d', 'end_date': datetime.datetime(2018, 4, 23, 22, 36, 19), 'start_time': datetime.datetime(2018, 8, 22, 13, 34, 27), 'rate': 5, 'updated_at': datetime.datetime(2010, 6, 8, 7, 31, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a0f1adf2-c2ad-4d37-8b5c-963cc15029e5', 'job_description': 'Innovative contextually-based solution', 'start_date': datetime.datetime(2013, 10, 26, 12, 55, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 15, 21, 48, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 11, 3, 46, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '065d0831-066e-4886-b271-03e9d69af675', 'end_date': datetime.datetime(2010, 8, 7, 19, 7, 37), 'start_time': datetime.datetime(2012, 11, 28, 23, 21, 2), 'rate': 3, 'updated_at': datetime.datetime(2015, 2, 24, 17, 2, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6ed3b476-8847-4b1c-9777-9c515ac3ca7a', 'job_description': 'Configurable 3rd generation architecture', 'start_date': datetime.datetime(2018, 2, 2, 8, 51, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 14, 19, 58, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 19, 4, 56, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5f055d9a-92a2-4f55-a7a5-4944f47e5e86', 'end_date': datetime.datetime(2018, 10, 2, 17, 7, 21), 'start_time': datetime.datetime(2011, 7, 13, 8, 23, 8), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 15, 18, 56, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8c274347-2154-4baa-830e-0adaf443a9d6', 'job_description': 'Persevering eco-centric knowledge user', 'start_date': datetime.datetime(2013, 2, 7, 4, 52, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 29, 10, 55, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 11, 20, 30, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5a9e7bba-719e-4f39-b822-5a2aed3f5818', 'end_date': datetime.datetime(2017, 4, 14, 7, 54, 13), 'start_time': datetime.datetime(2019, 9, 2, 0, 59, 27), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 10, 20, 46, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '339ea9b9-9091-4d63-baa6-a719573e76cb', 'job_description': 'Synergized 24 hour archive', 'start_date': datetime.datetime(2014, 1, 28, 1, 27, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 11, 10, 19, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 24, 16, 13, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '82799b6f-a159-4a2d-a6f1-3b617c84d71c', 'end_date': datetime.datetime(2014, 4, 15, 22, 37, 58), 'start_time': datetime.datetime(2016, 6, 13, 1, 50, 56), 'rate': 4, 'updated_at': datetime.datetime(2012, 10, 5, 23, 48, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Benin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fd0807a8-77ad-451f-aea9-9d91fec2e99a', 'job_description': 'Fundamental non-volatile Graphical User Interface', 'start_date': datetime.datetime(2012, 5, 28, 11, 32, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 6, 23, 9, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 15, 13, 26, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '00e28c39-c70c-4e69-b0af-475d03442c29', 'end_date': datetime.datetime(2012, 2, 10, 11, 15, 48), 'start_time': datetime.datetime(2019, 3, 17, 0, 55, 59), 'rate': 2, 'updated_at': datetime.datetime(2011, 10, 26, 1, 52, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '50519e76-758c-4e91-8622-cd0bd60f0e13', 'job_description': 'Sharable zero tolerance encryption', 'start_date': datetime.datetime(2010, 1, 13, 11, 11, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 21, 12, 4, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 5, 4, 28, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ff42817-f11f-434c-8de0-d51333f010c9', 'end_date': datetime.datetime(2014, 6, 15, 21, 2, 8), 'start_time': datetime.datetime(2012, 9, 30, 4, 4, 30), 'rate': 5, 'updated_at': datetime.datetime(2019, 5, 4, 18, 39, 39), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f8f0f590-63dc-4e96-956f-94c44ee0cc43', 'job_description': 'Stand-alone tangible flexibility', 'start_date': datetime.datetime(2017, 12, 4, 0, 53, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 17, 18, 28, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 9, 4, 17, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bf5b2741-696c-49d9-8d92-33a8ef9cb156', 'end_date': datetime.datetime(2012, 11, 29, 12, 8, 58), 'start_time': datetime.datetime(2012, 9, 5, 13, 13, 46), 'rate': 1, 'updated_at': datetime.datetime(2018, 8, 9, 11, 16, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a4890511-9feb-4cef-816b-af6953170b0c', 'job_description': 'De-engineered client-server implementation', 'start_date': datetime.datetime(2013, 2, 5, 21, 55, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 19, 9, 46, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 20, 16, 18, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '64d150a8-07f0-4fd7-82a5-7072301f13f2', 'end_date': datetime.datetime(2019, 1, 19, 13, 48, 1), 'start_time': datetime.datetime(2019, 10, 27, 11, 9, 1), 'rate': 3, 'updated_at': datetime.datetime(2017, 7, 8, 17, 50, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '74bdfb6f-f9c8-4579-ba9f-6570c4305a34', 'job_description': 'Reactive web-enabled portal', 'start_date': datetime.datetime(2013, 5, 1, 16, 24, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 16, 15, 39, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 23, 16, 31, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7b4895b7-e0b6-4a12-bbc8-998da12e955e', 'end_date': datetime.datetime(2017, 6, 28, 8, 26, 2), 'start_time': datetime.datetime(2016, 10, 8, 15, 8, 30), 'rate': 1, 'updated_at': datetime.datetime(2019, 2, 1, 4, 57, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bdd8428c-bf42-4666-a869-9ebbb2a9f880', 'job_description': 'Team-oriented radical firmware', 'start_date': datetime.datetime(2015, 2, 22, 11, 43, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 28, 0, 7, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 24, 20, 13, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '05f52232-b602-45a9-8f4c-98c590ba069a', 'end_date': datetime.datetime(2018, 6, 1, 22, 51, 53), 'start_time': datetime.datetime(2018, 11, 6, 1, 24, 8), 'rate': 3, 'updated_at': datetime.datetime(2013, 11, 16, 20, 3, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Pakistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2409d374-addf-4bcf-8e2b-0986114c5647', 'job_description': 'Configurable maximized algorithm', 'start_date': datetime.datetime(2012, 2, 6, 16, 15, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 7, 18, 16, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 7, 6, 12, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d09cf84-1d2e-4d55-b233-357900562e5d', 'end_date': datetime.datetime(2018, 5, 20, 0, 14, 37), 'start_time': datetime.datetime(2019, 6, 23, 5, 12, 47), 'rate': 4, 'updated_at': datetime.datetime(2018, 2, 8, 9, 42, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6b2c41f6-1dbc-46d2-bc21-315ccca1618a', 'job_description': 'Multi-channelled user-facing data-warehouse', 'start_date': datetime.datetime(2016, 6, 25, 22, 42, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 26, 1, 37, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 9, 16, 39, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fc34348c-c5b0-4cf3-9e6e-1889130e72c9', 'end_date': datetime.datetime(2015, 12, 29, 11, 59, 46), 'start_time': datetime.datetime(2016, 5, 5, 13, 48, 6), 'rate': 1, 'updated_at': datetime.datetime(2019, 7, 24, 14, 58, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '80b8dede-8cb9-42ad-aab3-18494da8b146', 'job_description': 'Function-based bottom-line hub', 'start_date': datetime.datetime(2010, 5, 22, 3, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 28, 16, 48, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 17, 0, 49, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'afa0dc79-1959-4fa8-8823-cd38a058e28e', 'end_date': datetime.datetime(2011, 10, 14, 20, 22, 48), 'start_time': datetime.datetime(2012, 11, 26, 20, 51, 29), 'rate': 5, 'updated_at': datetime.datetime(2016, 10, 29, 17, 12, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '28f510ac-f62a-4749-91e7-1023134455a9', 'job_description': 'Decentralized user-facing function', 'start_date': datetime.datetime(2017, 3, 20, 7, 44, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 15, 17, 54, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 12, 3, 32, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '255c719f-d4f2-4050-9f84-2825c03e7adc', 'end_date': datetime.datetime(2014, 6, 11, 9, 12, 37), 'start_time': datetime.datetime(2012, 9, 24, 3, 32, 2), 'rate': 3, 'updated_at': datetime.datetime(2011, 9, 4, 23, 3, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '528aa4b9-36e2-41e6-80e1-4b4e31e3cb43', 'job_description': 'Re-engineered dedicated array', 'start_date': datetime.datetime(2014, 1, 13, 15, 31, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 30, 20, 4, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 16, 5, 56, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd504ebcd-4172-4a67-8d51-6c65b51d04a8', 'end_date': datetime.datetime(2011, 9, 16, 5, 24, 19), 'start_time': datetime.datetime(2011, 3, 27, 19, 57, 18), 'rate': 4, 'updated_at': datetime.datetime(2014, 7, 28, 22, 43, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81d1e20f-aae8-460d-adff-302d6f47e728', 'job_description': 'Operative incremental approach', 'start_date': datetime.datetime(2013, 2, 23, 19, 10, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 9, 22, 19, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 3, 14, 55, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '92d48bf9-f03e-4e70-80dd-a6fb16976c7f', 'end_date': datetime.datetime(2010, 9, 26, 3, 4, 30), 'start_time': datetime.datetime(2018, 4, 4, 8, 21, 42), 'rate': 5, 'updated_at': datetime.datetime(2014, 4, 10, 13, 1, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78067dc8-7330-4280-aeb0-48686ccd3fdc', 'job_description': 'Switchable bottom-line leverage', 'start_date': datetime.datetime(2012, 6, 30, 2, 57, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 5, 6, 7, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 5, 8, 15, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9792bb3d-1e2f-4b75-9237-96d7f7fff189', 'end_date': datetime.datetime(2011, 9, 16, 21, 6, 25), 'start_time': datetime.datetime(2017, 11, 20, 14, 47, 14), 'rate': 2, 'updated_at': datetime.datetime(2012, 2, 16, 3, 14, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Bulgaria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '614111bf-1666-4203-a217-897b7b18e67f', 'job_description': 'Total systemic leverage', 'start_date': datetime.datetime(2016, 10, 14, 19, 56, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 5, 11, 35, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 21, 8, 11, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'acae2992-0b67-4262-a5c7-e01fe70da0d9', 'end_date': datetime.datetime(2015, 10, 5, 21, 32, 30), 'start_time': datetime.datetime(2016, 5, 12, 1, 16, 30), 'rate': 1, 'updated_at': datetime.datetime(2016, 10, 18, 11, 24, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2650a643-0028-444f-a3bd-2a90729aa2e3', 'job_description': 'Total actuating service-desk', 'start_date': datetime.datetime(2010, 2, 15, 16, 24, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 7, 13, 0), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 10, 6, 24, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9c01b9ca-356b-4791-b7f1-5692ecbadc8d', 'end_date': datetime.datetime(2015, 8, 17, 2, 52, 12), 'start_time': datetime.datetime(2017, 5, 25, 13, 29, 48), 'rate': 1, 'updated_at': datetime.datetime(2013, 1, 20, 4, 9, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8d34e027-8ac4-4037-8948-62f087bc803a', 'job_description': 'Customer-focused scalable concept', 'start_date': datetime.datetime(2015, 4, 30, 6, 54, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 1, 12, 20, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 21, 1, 15, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c32da20b-4038-4cac-8587-d48d4a31e699', 'end_date': datetime.datetime(2012, 11, 9, 12, 8), 'start_time': datetime.datetime(2018, 9, 17, 16, 37, 14), 'rate': 5, 'updated_at': datetime.datetime(2012, 5, 26, 5, 58, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '750821b0-cb92-4713-a6e2-c47cc6d82886', 'job_description': 'Pre-emptive next generation time-frame', 'start_date': datetime.datetime(2014, 1, 29, 20, 0, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 28, 14, 0, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 4, 7, 42, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d6a2762-1ca4-456b-9844-9198027b451d', 'end_date': datetime.datetime(2015, 6, 17, 19, 41, 36), 'start_time': datetime.datetime(2011, 12, 21, 3, 54, 45), 'rate': 1, 'updated_at': datetime.datetime(2011, 10, 28, 3, 11, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81bdf848-f7f4-4bf3-bbf2-eac29634f196', 'job_description': 'Virtual methodical service-desk', 'start_date': datetime.datetime(2014, 4, 4, 13, 23, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 7, 12, 12, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 21, 4, 40, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c40766bc-f3b9-467e-bf3b-3ae2823e75c6', 'end_date': datetime.datetime(2017, 6, 15, 13, 51, 35), 'start_time': datetime.datetime(2018, 11, 20, 14, 29), 'rate': 4, 'updated_at': datetime.datetime(2019, 8, 14, 7, 0, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fc0ecfb5-44cb-40bf-86f2-772bf22e0723', 'job_description': 'Open-source scalable hierarchy', 'start_date': datetime.datetime(2012, 6, 4, 19, 9, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 30, 5, 56, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 17, 5, 59, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '065670d5-dc43-49f6-8fef-6043442aba1c', 'end_date': datetime.datetime(2019, 3, 8, 15, 26, 44), 'start_time': datetime.datetime(2017, 2, 8, 6, 34, 51), 'rate': 5, 'updated_at': datetime.datetime(2016, 1, 24, 12, 35, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '245c774f-7baf-4766-8fe4-6e3aea1f1499', 'job_description': 'Right-sized web-enabled process improvement', 'start_date': datetime.datetime(2016, 8, 18, 6, 33, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 10, 7, 9, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 4, 20, 28, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '65a33643-65e9-4b34-a51b-34a569020c55', 'end_date': datetime.datetime(2011, 3, 30, 3, 5, 12), 'start_time': datetime.datetime(2017, 7, 23, 18, 14, 52), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 14, 4, 49, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Egypt', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5f7befd9-2908-48d5-8e04-4e1a5b618750', 'job_description': 'Visionary bottom-line knowledge base', 'start_date': datetime.datetime(2013, 2, 20, 10, 49, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 7, 9, 6, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 22, 22, 25, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '51b4ba14-fedd-4a2c-a7c1-707c69072e8c', 'end_date': datetime.datetime(2011, 5, 11, 15, 10, 1), 'start_time': datetime.datetime(2010, 8, 11, 4, 41, 11), 'rate': 2, 'updated_at': datetime.datetime(2010, 4, 30, 12, 9, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c6486545-df7c-4e53-b299-598af8fab39a', 'job_description': 'User-centric fresh-thinking concept', 'start_date': datetime.datetime(2014, 11, 28, 21, 35, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 3, 17, 30, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 19, 21, 49, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b43d305c-f936-4edb-aeba-1f8d542ee8b1', 'end_date': datetime.datetime(2014, 8, 26, 17, 53, 15), 'start_time': datetime.datetime(2019, 2, 24, 20, 14, 2), 'rate': 3, 'updated_at': datetime.datetime(2014, 5, 1, 2, 18, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a960a482-f935-45ad-86e5-c6db6fb2ceb5', 'job_description': 'Reactive composite hardware', 'start_date': datetime.datetime(2019, 5, 10, 14, 35, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 31, 15, 4, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 8, 12, 3, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b4f43b35-f6ff-4ab8-8aae-e97042857e9f', 'end_date': datetime.datetime(2014, 12, 9, 12, 37, 59), 'start_time': datetime.datetime(2015, 5, 27, 12, 49, 21), 'rate': 1, 'updated_at': datetime.datetime(2013, 7, 27, 18, 4, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '40cbe395-0b59-4d56-879a-619f5e6e5ccf', 'job_description': 'Optional empowering support', 'start_date': datetime.datetime(2010, 12, 16, 19, 18, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 26, 13, 8, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 25, 14, 34, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '96a5b831-ce8f-46f4-a3d4-d3661d2603ae', 'end_date': datetime.datetime(2012, 2, 22, 11, 53, 39), 'start_time': datetime.datetime(2019, 7, 6, 18, 51, 20), 'rate': 4, 'updated_at': datetime.datetime(2012, 2, 2, 18, 52, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'da20d4e9-bbe2-4b1b-ad3e-7d259cea8deb', 'job_description': 'Front-line methodical conglomeration', 'start_date': datetime.datetime(2014, 6, 29, 18, 43, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 22, 16, 53, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 20, 14, 50, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a475b78d-0815-4fb6-8d11-5995d05a1ae4', 'end_date': datetime.datetime(2010, 6, 15, 2, 1, 32), 'start_time': datetime.datetime(2014, 12, 25, 13, 54, 11), 'rate': 4, 'updated_at': datetime.datetime(2016, 12, 9, 20, 2, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd70c52a6-a890-4cce-80d4-f27f2e487daf', 'job_description': 'Synergized optimizing encryption', 'start_date': datetime.datetime(2017, 7, 15, 3, 36, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 10, 20, 44, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 26, 23, 12, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a8405a5d-37ba-4a40-ad11-13f0aeef6b01', 'end_date': datetime.datetime(2013, 5, 14, 9, 37, 4), 'start_time': datetime.datetime(2012, 5, 12, 19, 19, 21), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 2, 9, 45, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0c928744-ba53-4e61-b914-d3677b6dd6f3', 'job_description': 'Extended maximized focus group', 'start_date': datetime.datetime(2011, 7, 5, 16, 26, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 9, 16, 56, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 21, 22, 34, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d9ec2be-09d7-4527-b23a-11523bf2dae2', 'end_date': datetime.datetime(2014, 12, 5, 2, 8, 58), 'start_time': datetime.datetime(2013, 2, 6, 11, 42, 4), 'rate': 1, 'updated_at': datetime.datetime(2017, 10, 10, 2, 25, 16), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7eb838c7-0a3d-416a-9c8b-e329167b10db', 'job_description': 'Synergized local local area network', 'start_date': datetime.datetime(2019, 11, 20, 11, 24, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 11, 14, 6, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 15, 17, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '853f07bb-91da-4b86-8f5a-bea2733eb87c', 'end_date': datetime.datetime(2011, 7, 21, 2, 54, 25), 'start_time': datetime.datetime(2010, 4, 16, 2, 33, 4), 'rate': 4, 'updated_at': datetime.datetime(2017, 12, 20, 12, 10, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7d2c26ef-b53c-4133-8609-1fe35975b890', 'job_description': 'Function-based needs-based capacity', 'start_date': datetime.datetime(2014, 11, 12, 15, 3, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 12, 18, 32, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 15, 17, 33, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e7888f42-0d04-45a1-b538-e90ab77ec4bf', 'end_date': datetime.datetime(2019, 6, 24, 16, 34, 34), 'start_time': datetime.datetime(2016, 8, 23, 13, 21, 12), 'rate': 2, 'updated_at': datetime.datetime(2014, 10, 22, 15, 35, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd93495a1-5ee8-4e94-a566-c9721dcee3c1', 'job_description': 'Fully-configurable background concept', 'start_date': datetime.datetime(2017, 10, 24, 14, 23, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 11, 23, 25, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 19, 22, 14, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '84409f50-3f03-47db-98b9-1f0f000b5956', 'end_date': datetime.datetime(2012, 10, 22, 21, 58, 31), 'start_time': datetime.datetime(2013, 5, 8, 21, 35, 50), 'rate': 1, 'updated_at': datetime.datetime(2015, 1, 12, 19, 1, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e3cc1f3b-0a08-4962-b97c-1c5c6536362c', 'job_description': 'Configurable solution-oriented moratorium', 'start_date': datetime.datetime(2018, 12, 13, 23, 41, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 28, 5, 30, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 2, 4, 30, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a4fe678-0b35-47d0-be11-0dae30201164', 'end_date': datetime.datetime(2011, 4, 11, 21, 13, 52), 'start_time': datetime.datetime(2014, 7, 16, 22, 53, 25), 'rate': 4, 'updated_at': datetime.datetime(2017, 4, 4, 19, 28, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '294225fd-f2d7-49c6-9098-06ed49f8b852', 'job_description': 'Managed 24/7 intranet', 'start_date': datetime.datetime(2018, 3, 15, 2, 54, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 4, 15, 12, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 1, 16, 47, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8f276579-dc7c-4f41-83a4-985fc0590e88', 'end_date': datetime.datetime(2010, 9, 19, 16, 57, 5), 'start_time': datetime.datetime(2018, 6, 16, 19, 27, 50), 'rate': 2, 'updated_at': datetime.datetime(2017, 3, 20, 21, 46, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8095b1d5-e99e-40d0-ae33-2d8cde713691', 'job_description': 'Realigned intangible hierarchy', 'start_date': datetime.datetime(2019, 9, 21, 5, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 17, 14, 29, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 13, 7, 56, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'da66083d-51be-421c-a4d4-a8962cc3e5f6', 'end_date': datetime.datetime(2011, 3, 4, 10, 56, 33), 'start_time': datetime.datetime(2015, 5, 7, 21, 0, 46), 'rate': 4, 'updated_at': datetime.datetime(2018, 11, 9, 5, 28, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9b9ab374-8fef-428c-9be0-98cad0fa014a', 'job_description': 'Business-focused actuating local area network', 'start_date': datetime.datetime(2016, 1, 17, 19, 23, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 28, 3, 19, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 2, 4, 16, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9bb3a929-6140-4f1c-bc78-2be5547ecb59', 'end_date': datetime.datetime(2014, 2, 2, 22, 58, 40), 'start_time': datetime.datetime(2013, 11, 18, 17, 52, 2), 'rate': 3, 'updated_at': datetime.datetime(2017, 9, 30, 8, 9, 8), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3a75ab73-5689-4519-bcb2-71ea00d894d6', 'job_description': 'Business-focused methodical hierarchy', 'start_date': datetime.datetime(2016, 12, 2, 17, 11, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 12, 21, 37, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 13, 6, 6, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0bccd844-9123-4c9e-9bd6-8f7d22999fde', 'end_date': datetime.datetime(2016, 5, 29, 3, 31, 26), 'start_time': datetime.datetime(2010, 1, 15, 7, 56, 40), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 20, 17, 15, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35922c43-f2d4-41e2-9dd6-fbf94c51d401', 'job_description': 'Up-sized solution-oriented methodology', 'start_date': datetime.datetime(2011, 9, 29, 0, 36, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 20, 10, 19, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 12, 9, 23, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '93683d3c-16ef-4c59-8190-3e5b35a72e6d', 'end_date': datetime.datetime(2014, 2, 26, 17, 5, 50), 'start_time': datetime.datetime(2015, 6, 12, 1, 10, 19), 'rate': 4, 'updated_at': datetime.datetime(2014, 11, 12, 21, 39, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2f418b8d-a720-4477-be76-a9b1779db23d', 'job_description': 'Cloned methodical intranet', 'start_date': datetime.datetime(2010, 7, 9, 3, 47, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 29, 10, 50, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 14, 0, 40, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b09f464c-89f1-47c0-a0c0-ce249850af1c', 'end_date': datetime.datetime(2014, 12, 20, 20, 12, 21), 'start_time': datetime.datetime(2013, 8, 3, 21, 18, 52), 'rate': 4, 'updated_at': datetime.datetime(2016, 12, 10, 21, 3, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '037d56b7-0b16-4d5b-863c-0701aeb8f29a', 'job_description': 'Progressive didactic knowledge user', 'start_date': datetime.datetime(2019, 4, 2, 3, 52, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 18, 13, 15, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 10, 19, 28, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '95d9b459-60d9-4963-9a9c-2b681f7bd742', 'end_date': datetime.datetime(2014, 9, 22, 16, 21, 37), 'start_time': datetime.datetime(2010, 5, 15, 14, 47, 45), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 19, 13, 20, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eb1a82ac-290a-41b5-b59a-f1e29b15e7b3', 'job_description': 'Stand-alone intangible infrastructure', 'start_date': datetime.datetime(2018, 3, 25, 1, 40, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 27, 21, 36, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 15, 15, 42, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2daef74c-a0c3-42e9-9fe8-3769ded80d2c', 'end_date': datetime.datetime(2013, 12, 6, 21, 5, 38), 'start_time': datetime.datetime(2014, 4, 1, 20, 5, 55), 'rate': 4, 'updated_at': datetime.datetime(2011, 8, 24, 22, 30, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f2e0506c-b5af-4a41-833a-295d812ebd86', 'job_description': 'Extended holistic website', 'start_date': datetime.datetime(2019, 4, 11, 22, 43, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 29, 12, 26, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 1, 22, 41, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b1b43715-5b12-4fbf-b9cb-ea9e97631705', 'end_date': datetime.datetime(2010, 5, 23, 11, 13, 29), 'start_time': datetime.datetime(2011, 8, 13, 13, 22, 25), 'rate': 4, 'updated_at': datetime.datetime(2011, 10, 5, 4, 45, 18), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f8fd99fd-193b-4ede-9aa7-02a61230b726', 'job_description': 'Object-based upward-trending policy', 'start_date': datetime.datetime(2010, 2, 3, 12, 44, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 7, 14, 51, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 12, 10, 37, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f3086de7-44c0-43fa-b3ae-265ae7e559d7', 'end_date': datetime.datetime(2018, 2, 26, 22, 48, 21), 'start_time': datetime.datetime(2011, 2, 28, 0, 58, 22), 'rate': 4, 'updated_at': datetime.datetime(2012, 4, 15, 23, 59, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Nauru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b1c224d5-fcd1-44d9-ad26-691c8d2838b3', 'job_description': 'Versatile executive middleware', 'start_date': datetime.datetime(2019, 2, 21, 16, 19, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 26, 7, 5, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 25, 12, 7, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a31a8b2d-b8d7-4854-a6ad-8c45b14cf2b2', 'end_date': datetime.datetime(2019, 12, 1, 4, 10, 37), 'start_time': datetime.datetime(2015, 9, 2, 8, 8, 5), 'rate': 2, 'updated_at': datetime.datetime(2019, 1, 18, 9, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aa86b8fa-e8a6-4d90-a96e-e606f38bb53f', 'job_description': 'Innovative value-added matrix', 'start_date': datetime.datetime(2012, 7, 25, 8, 5, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 23, 20, 55, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 26, 18, 40, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '12a7928a-c011-4328-80b4-d65550c0cdc6', 'end_date': datetime.datetime(2014, 1, 11, 11, 40, 38), 'start_time': datetime.datetime(2016, 7, 6, 3, 47, 40), 'rate': 1, 'updated_at': datetime.datetime(2012, 4, 23, 9, 17, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '856e76e3-9dab-4bf3-a53e-9073f6841750', 'job_description': 'Down-sized dedicated standardization', 'start_date': datetime.datetime(2014, 10, 18, 21, 31, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 25, 4, 52, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 16, 3, 39, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44e0858e-8f53-42c2-9e46-fb98aae2c43f', 'end_date': datetime.datetime(2014, 4, 8, 3, 48, 45), 'start_time': datetime.datetime(2010, 11, 18, 21, 13, 33), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 12, 7, 38, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '023f930c-62eb-4ba7-a460-10a4b4856800', 'job_description': 'Self-enabling national software', 'start_date': datetime.datetime(2012, 10, 27, 19, 17, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 11, 22, 14, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 19, 1, 58, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '32bdccbf-1d4e-4dfa-95cd-d32b6e90788f', 'end_date': datetime.datetime(2014, 3, 13, 4, 13, 53), 'start_time': datetime.datetime(2018, 2, 28, 19, 38, 40), 'rate': 4, 'updated_at': datetime.datetime(2013, 3, 9, 6, 15, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a17be821-932e-4f54-88bf-3dffae348074', 'job_description': 'Customer-focused mobile projection', 'start_date': datetime.datetime(2010, 8, 3, 3, 28, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 20, 14, 57, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 17, 4, 41, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b3f7a940-ec7d-4a4c-a2a1-edb2b2ca808f', 'end_date': datetime.datetime(2013, 9, 6, 9, 27, 28), 'start_time': datetime.datetime(2011, 3, 1, 18, 27, 53), 'rate': 4, 'updated_at': datetime.datetime(2017, 8, 14, 14, 54, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Oman', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e784aad0-b0e6-44e1-b754-7369f1b97372', 'job_description': 'Enterprise-wide client-server collaboration', 'start_date': datetime.datetime(2017, 11, 29, 22, 46, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 26, 4, 44, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 4, 10, 9, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f3555b6b-1ba2-4337-818a-8aa474cae1ef', 'end_date': datetime.datetime(2016, 4, 27, 0, 58, 48), 'start_time': datetime.datetime(2014, 6, 1, 21, 24, 50), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 14, 21, 48, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a6442a82-3845-4eba-8f31-eef98a8166aa', 'job_description': 'Inverse foreground adapter', 'start_date': datetime.datetime(2018, 9, 22, 14, 2, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 3, 17, 33, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 2, 19, 30, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '45988b62-36b5-4752-ab5c-cdf284bfd7bb', 'end_date': datetime.datetime(2012, 12, 29, 16, 57, 38), 'start_time': datetime.datetime(2011, 4, 17, 20, 2, 36), 'rate': 2, 'updated_at': datetime.datetime(2017, 11, 15, 9, 37, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ca357b4d-ca95-4e54-9c09-3240741405b7', 'job_description': 'Synchronised eco-centric approach', 'start_date': datetime.datetime(2014, 12, 6, 22, 56, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 7, 10, 43, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 12, 23, 12, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '19285d57-aaf2-4edf-a8f0-14ca9efdd934', 'end_date': datetime.datetime(2011, 2, 24, 0, 11, 21), 'start_time': datetime.datetime(2010, 12, 4, 20, 27, 16), 'rate': 2, 'updated_at': datetime.datetime(2012, 5, 28, 11, 50, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b12ef9cb-8602-4088-81e1-cdd437d8dfe1', 'job_description': 'Function-based grid-enabled toolset', 'start_date': datetime.datetime(2019, 2, 28, 5, 16, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 7, 23, 34, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 31, 7, 44, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e28f3422-5269-4b73-8c01-08bf2ee420db', 'end_date': datetime.datetime(2012, 7, 27, 0, 17, 6), 'start_time': datetime.datetime(2017, 10, 3, 22, 44, 13), 'rate': 3, 'updated_at': datetime.datetime(2014, 12, 9, 23, 0, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Angola', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cd589eec-120c-472d-8ebf-db4caa147c94', 'job_description': 'Total global customer loyalty', 'start_date': datetime.datetime(2017, 5, 3, 20, 9, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 12, 3, 4, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 25, 17, 35, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c4041aa4-3890-4425-9b0b-57a81c736c9f', 'end_date': datetime.datetime(2018, 2, 13, 5, 7, 41), 'start_time': datetime.datetime(2014, 7, 15, 18, 45, 35), 'rate': 3, 'updated_at': datetime.datetime(2015, 3, 9, 15, 31, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c7d28dd9-7824-4efb-888e-fd2baae46fbd', 'job_description': 'Phased foreground framework', 'start_date': datetime.datetime(2016, 7, 2, 21, 46, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 21, 10, 32, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 9, 0, 34, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9c066588-88db-4a0d-94f0-717d8718c200', 'end_date': datetime.datetime(2013, 9, 2, 9, 50, 22), 'start_time': datetime.datetime(2013, 3, 3, 4, 0, 55), 'rate': 5, 'updated_at': datetime.datetime(2016, 12, 9, 16, 44, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3ea0f39e-526e-4ae3-a83e-506d8784eb0c', 'job_description': 'Robust transitional adapter', 'start_date': datetime.datetime(2010, 5, 9, 1, 27, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 22, 22, 16, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 1, 13, 31, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aeae9ef7-5a33-49c2-9450-5d940b8eab7a', 'end_date': datetime.datetime(2015, 8, 28, 20, 56, 53), 'start_time': datetime.datetime(2015, 12, 14, 1, 36, 6), 'rate': 5, 'updated_at': datetime.datetime(2015, 8, 20, 0, 22, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Russian Federation', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9897bdb6-67ec-4637-87cc-e450cc4648b0', 'job_description': 'Progressive content-based capability', 'start_date': datetime.datetime(2010, 9, 27, 10, 57, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 1, 11, 33, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 21, 22, 4, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '76dba2ec-3775-4417-8020-40af21918b4b', 'end_date': datetime.datetime(2010, 12, 13, 20, 13, 8), 'start_time': datetime.datetime(2013, 8, 1, 18, 39, 15), 'rate': 1, 'updated_at': datetime.datetime(2017, 9, 28, 0, 42, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '819e580c-8a6c-4948-9215-2c3bb34b83dd', 'job_description': 'Cloned local initiative', 'start_date': datetime.datetime(2010, 12, 9, 13, 55, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 13, 0, 33, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 26, 7, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f4795079-05bb-4c80-a991-552d4fad20fa', 'end_date': datetime.datetime(2016, 7, 26, 20, 5, 48), 'start_time': datetime.datetime(2014, 10, 1, 15, 33, 5), 'rate': 3, 'updated_at': datetime.datetime(2011, 6, 29, 0, 23, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '73a937c9-05ef-4092-8a3c-ece3bc99e0b0', 'job_description': 'Public-key regional alliance', 'start_date': datetime.datetime(2017, 10, 6, 0, 32, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 18, 9, 0, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 31, 14, 5, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '72bca580-2a21-4e8e-bed0-f19bc90860ca', 'end_date': datetime.datetime(2017, 7, 11, 9, 32, 50), 'start_time': datetime.datetime(2014, 7, 16, 23, 18, 58), 'rate': 3, 'updated_at': datetime.datetime(2019, 3, 14, 19, 57, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd42c147f-3eb3-453b-a44d-d24c59b28824', 'job_description': 'Assimilated assymetric Graphical User Interface', 'start_date': datetime.datetime(2015, 10, 6, 9, 28, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 23, 23, 31, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 25, 9, 0, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fef1ba0e-a2ec-4678-aa93-b335fbc70cd7', 'end_date': datetime.datetime(2011, 8, 1, 10, 57, 30), 'start_time': datetime.datetime(2012, 11, 30, 23, 51, 36), 'rate': 4, 'updated_at': datetime.datetime(2019, 5, 9, 9, 27, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd21a5f80-bab6-4473-86ff-548ab597e972', 'job_description': 'Fundamental mission-critical capacity', 'start_date': datetime.datetime(2010, 12, 17, 22, 32, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 23, 0, 6, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 1, 9, 55, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a9427dda-c7b2-476d-ae86-5f5c53a18180', 'end_date': datetime.datetime(2017, 1, 9, 22, 52, 10), 'start_time': datetime.datetime(2010, 3, 12, 17, 14, 12), 'rate': 3, 'updated_at': datetime.datetime(2015, 8, 10, 8, 23, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a75fb976-eaac-4d6f-bd92-2cfb2522001c', 'job_description': 'Digitized clear-thinking array', 'start_date': datetime.datetime(2013, 5, 2, 22, 36, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 13, 14, 12, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 3, 13, 24, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7dbdf2d9-16c0-44ee-9d43-566c33758288', 'end_date': datetime.datetime(2015, 8, 26, 12, 48, 19), 'start_time': datetime.datetime(2013, 5, 12, 12, 55, 11), 'rate': 3, 'updated_at': datetime.datetime(2016, 12, 22, 16, 39, 54), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '768ec54c-2dc0-4d58-9760-ec038fa78c35', 'job_description': 'Cloned coherent moderator', 'start_date': datetime.datetime(2010, 12, 29, 4, 22, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 18, 10, 22, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 11, 8, 3, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c853a0ba-26fb-4fd8-82c5-5c016f3b99b6', 'end_date': datetime.datetime(2019, 6, 6, 16, 41, 16), 'start_time': datetime.datetime(2014, 2, 23, 19, 19, 9), 'rate': 2, 'updated_at': datetime.datetime(2018, 1, 21, 0, 39, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b6473957-12eb-4e81-beb5-663956b19792', 'job_description': 'Ergonomic object-oriented productivity', 'start_date': datetime.datetime(2017, 7, 28, 2, 25, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 12, 18, 25, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 14, 7, 32, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dd294bf8-c3b4-4774-b373-ea50294632b0', 'end_date': datetime.datetime(2013, 2, 15, 14, 9, 10), 'start_time': datetime.datetime(2019, 4, 18, 19, 4, 15), 'rate': 2, 'updated_at': datetime.datetime(2011, 7, 10, 20, 7, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8829c02-cd44-43a9-b32d-8ac38bb11698', 'job_description': 'Fundamental bifurcated orchestration', 'start_date': datetime.datetime(2019, 9, 14, 10, 17, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 24, 17, 13, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 27, 17, 55, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '388a590a-fa59-442c-af17-6d2a812c2817', 'end_date': datetime.datetime(2014, 6, 30, 15, 32, 41), 'start_time': datetime.datetime(2012, 4, 30, 10, 1, 51), 'rate': 2, 'updated_at': datetime.datetime(2010, 1, 25, 2, 30, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9e22217d-2d7e-40b0-9441-67b3ec9c2f55', 'job_description': 'Grass-roots intangible concept', 'start_date': datetime.datetime(2019, 3, 17, 15, 57, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 21, 17, 50, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 6, 11, 56, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6787cffb-3862-48da-9b9e-51f75ba88cd2', 'end_date': datetime.datetime(2010, 9, 10, 9, 37, 38), 'start_time': datetime.datetime(2011, 10, 22, 22, 57, 57), 'rate': 5, 'updated_at': datetime.datetime(2016, 9, 26, 6, 37, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '85d40c52-9cba-4996-b116-0ff156ab3e87', 'job_description': 'Devolved executive process improvement', 'start_date': datetime.datetime(2015, 6, 24, 20, 14, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 8, 17, 39, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 4, 16, 19, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '66f8d638-975e-4fc1-a33c-3979450739a6', 'end_date': datetime.datetime(2016, 7, 12, 23, 45, 38), 'start_time': datetime.datetime(2011, 2, 25, 0, 19, 7), 'rate': 2, 'updated_at': datetime.datetime(2011, 1, 3, 16, 31, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3379fc46-7f15-45aa-9a07-44c336b63bcb', 'job_description': 'Proactive bifurcated open architecture', 'start_date': datetime.datetime(2010, 9, 18, 18, 12, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 11, 22, 4, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 4, 15, 5, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '352f3863-9d0d-46cb-9dd3-d2fce4283ed0', 'end_date': datetime.datetime(2015, 6, 8, 9, 53, 40), 'start_time': datetime.datetime(2014, 11, 24, 23, 57, 34), 'rate': 2, 'updated_at': datetime.datetime(2015, 10, 3, 11, 26, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c414be78-b7a3-46a5-ba1e-21837a1b41c0', 'job_description': 'Digitized exuding budgetary management', 'start_date': datetime.datetime(2011, 3, 6, 20, 53, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 16, 5, 12, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 12, 2, 53, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '860c22cf-3d70-4fef-9476-b08e45a614b6', 'end_date': datetime.datetime(2010, 7, 9, 7, 10, 11), 'start_time': datetime.datetime(2013, 7, 27, 1, 7, 21), 'rate': 1, 'updated_at': datetime.datetime(2014, 12, 6, 9, 56, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3f2614f2-d4be-4d6a-ade1-5ce32b9e9bf0', 'job_description': 'Mandatory holistic structure', 'start_date': datetime.datetime(2010, 5, 11, 8, 43, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 4, 5, 2, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 25, 3, 59, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7c20144b-39a2-460a-a821-8ca0215592d5', 'end_date': datetime.datetime(2011, 11, 4, 5, 3, 4), 'start_time': datetime.datetime(2017, 3, 19, 17, 27, 49), 'rate': 5, 'updated_at': datetime.datetime(2013, 9, 18, 20, 36, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '69b38469-b79b-4a9c-b331-7a1f7df8f959', 'job_description': 'Phased reciprocal synergy', 'start_date': datetime.datetime(2018, 5, 2, 19, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 14, 1, 17, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 13, 1, 46, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '80bd8a9a-3e2d-478e-85c5-228cd742eead', 'end_date': datetime.datetime(2014, 7, 1, 18, 49, 51), 'start_time': datetime.datetime(2017, 11, 16, 0, 21, 30), 'rate': 5, 'updated_at': datetime.datetime(2011, 12, 22, 1, 46, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ae4213c9-d5a1-485c-8bcc-535f363e1eb8', 'job_description': 'Cloned optimizing moderator', 'start_date': datetime.datetime(2010, 2, 26, 7, 38, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 13, 2, 3, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 31, 15, 44, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '69ba1f04-8da9-40b1-93e9-2f07877ee171', 'end_date': datetime.datetime(2011, 7, 27, 17, 11, 46), 'start_time': datetime.datetime(2016, 1, 23, 17, 26, 33), 'rate': 3, 'updated_at': datetime.datetime(2018, 1, 29, 14, 36, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0faf57a6-db36-4ddc-a69e-777fb68b7bbb', 'job_description': 'Streamlined content-based hierarchy', 'start_date': datetime.datetime(2019, 2, 6, 8, 50, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 26, 7, 5, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 2, 4, 53, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fd4a4190-5961-4a71-a2bc-7adbaa840ea8', 'end_date': datetime.datetime(2017, 11, 4, 22, 49, 46), 'start_time': datetime.datetime(2014, 2, 23, 21, 41, 44), 'rate': 1, 'updated_at': datetime.datetime(2010, 5, 9, 1, 59, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd7fc13f5-83ee-41f6-9ac7-81846a06e000', 'job_description': 'Realigned zero administration Graphic Interface', 'start_date': datetime.datetime(2019, 11, 16, 2, 22, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 14, 14, 58, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 10, 12, 3, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '257fd295-46eb-48a5-9a7b-190c305d5875', 'end_date': datetime.datetime(2012, 2, 16, 12, 14, 38), 'start_time': datetime.datetime(2014, 9, 13, 21, 56, 41), 'rate': 2, 'updated_at': datetime.datetime(2011, 7, 9, 16, 2, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4849c618-e25c-4c62-8923-1e7e90d99c8f', 'job_description': 'Reverse-engineered real-time workforce', 'start_date': datetime.datetime(2013, 7, 27, 0, 23, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 24, 15, 58, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 19, 4, 46, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b89b4297-7ccc-4650-97f5-285f0aaff209', 'end_date': datetime.datetime(2016, 7, 18, 14, 47, 32), 'start_time': datetime.datetime(2018, 5, 23, 23, 12, 49), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 11, 0, 36, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Holy See (Vatican City State)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '42d85894-527f-468f-baef-b1a8fa31e178', 'job_description': 'Networked dedicated focus group', 'start_date': datetime.datetime(2010, 8, 4, 13, 40, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 3, 16, 59, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 17, 5, 53, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '49ba521b-9b9e-4864-ac89-257f7f7b9a42', 'end_date': datetime.datetime(2014, 5, 12, 21, 31, 19), 'start_time': datetime.datetime(2017, 8, 25, 2, 7, 2), 'rate': 3, 'updated_at': datetime.datetime(2016, 3, 10, 8, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Germany', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4d6b33ec-e6e2-4bc0-b7f9-1ccad9a57378', 'job_description': 'Customer-focused client-server conglomeration', 'start_date': datetime.datetime(2010, 9, 1, 5, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 9, 11, 47, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 22, 15, 20, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '11b2c878-cab8-4738-80e2-c93792bc4b67', 'end_date': datetime.datetime(2019, 1, 4, 17, 36, 33), 'start_time': datetime.datetime(2012, 12, 27, 0, 59, 33), 'rate': 1, 'updated_at': datetime.datetime(2014, 11, 15, 4, 26, 44), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4d7f431e-91ed-4f51-aab9-1c51ff886553', 'job_description': 'Seamless uniform definition', 'start_date': datetime.datetime(2014, 4, 29, 20, 4, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 25, 8, 9, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 1, 16, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '54ea9502-dd7d-4b57-be2b-6c7cdfcb417d', 'end_date': datetime.datetime(2017, 12, 20, 7, 39, 26), 'start_time': datetime.datetime(2016, 6, 19, 5, 35, 44), 'rate': 5, 'updated_at': datetime.datetime(2015, 5, 29, 18, 39, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '440aa703-3584-4e7b-a9f3-a46f6b11f770', 'job_description': 'Exclusive global architecture', 'start_date': datetime.datetime(2019, 6, 6, 2, 4, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 16, 3, 3, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 13, 12, 34, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '338dbba7-ac72-4241-8f7e-d2cd732c299c', 'end_date': datetime.datetime(2017, 4, 27, 15, 43, 10), 'start_time': datetime.datetime(2015, 7, 26, 21, 8, 50), 'rate': 3, 'updated_at': datetime.datetime(2017, 10, 31, 2, 37, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c87b8f8c-0614-40e7-8bb2-99e46267d59e', 'job_description': 'Multi-channelled 3rd generation architecture', 'start_date': datetime.datetime(2013, 12, 1, 9, 21, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 29, 2, 55, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 11, 15, 17, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1401576c-033f-4928-bbfa-8f0e69ac431e', 'end_date': datetime.datetime(2014, 6, 16, 12, 33), 'start_time': datetime.datetime(2014, 8, 18, 13, 42, 30), 'rate': 2, 'updated_at': datetime.datetime(2012, 2, 21, 21, 22, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a49e5493-52ab-4e15-807e-92896ee70ce2', 'job_description': 'Polarised static task-force', 'start_date': datetime.datetime(2017, 12, 31, 9, 13, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 20, 9, 33, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 18, 4, 39, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9fa8f765-3313-40ed-8b6c-0437cdcf3429', 'end_date': datetime.datetime(2015, 4, 25, 1, 37, 12), 'start_time': datetime.datetime(2010, 1, 14, 20, 16, 55), 'rate': 1, 'updated_at': datetime.datetime(2017, 11, 27, 14, 58, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Serbia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6ef1fad4-0afb-4d32-b218-77c928ed53a1', 'job_description': 'Public-key leading edge hub', 'start_date': datetime.datetime(2012, 1, 17, 23, 29, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 24, 3, 0, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 3, 6, 58, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd95809cc-e191-40ce-acfd-6a9faac080a9', 'end_date': datetime.datetime(2012, 9, 29, 10, 17, 28), 'start_time': datetime.datetime(2016, 6, 6, 0, 15, 46), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 15, 10, 37, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a8306b7b-c5ea-471b-a0e0-ee5d8dc906cf', 'job_description': 'Versatile coherent toolset', 'start_date': datetime.datetime(2011, 10, 22, 21, 32, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 8, 11, 41, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 2, 14, 0, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f6713e6-6435-4b18-90c1-bf70bdac1081', 'end_date': datetime.datetime(2019, 11, 4, 0, 16, 48), 'start_time': datetime.datetime(2012, 8, 6, 15, 18, 8), 'rate': 4, 'updated_at': datetime.datetime(2012, 9, 5, 1, 37, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Czech Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6544e1f9-fa08-4b54-b67a-67b3dcde741a', 'job_description': 'Multi-channelled client-server projection', 'start_date': datetime.datetime(2013, 10, 4, 4, 52, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 1, 3, 0, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 5, 14, 48, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '099dc817-d1c3-432a-a18d-88765e4311fa', 'end_date': datetime.datetime(2013, 1, 20, 20, 17, 29), 'start_time': datetime.datetime(2010, 8, 30, 11, 32, 28), 'rate': 5, 'updated_at': datetime.datetime(2014, 12, 7, 5, 13, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5aae1595-795e-4209-be3b-a363fa69a0ef', 'job_description': 'Open-source radical service-desk', 'start_date': datetime.datetime(2015, 3, 10, 6, 26, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 6, 17, 15, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 27, 10, 9, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bd17a115-6cb9-4e59-9351-b111435a516d', 'end_date': datetime.datetime(2016, 7, 7, 18, 29, 26), 'start_time': datetime.datetime(2017, 6, 10, 11, 39, 49), 'rate': 1, 'updated_at': datetime.datetime(2015, 1, 24, 14, 30, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b190fe50-6a5d-488b-b207-4c716bd7926d', 'job_description': 'Adaptive well-modulated data-warehouse', 'start_date': datetime.datetime(2014, 10, 28, 23, 1, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 1, 2, 59, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 18, 17, 27, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83b1070a-5d4f-4dd1-bbb1-5a50415420d9', 'end_date': datetime.datetime(2010, 5, 29, 12, 38, 47), 'start_time': datetime.datetime(2017, 1, 24, 20, 9, 4), 'rate': 4, 'updated_at': datetime.datetime(2018, 7, 29, 18, 48, 42), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4031bf0c-6c5a-4b0d-a3a9-f7d1e3cbb2ae', 'job_description': 'Reactive uniform website', 'start_date': datetime.datetime(2019, 9, 4, 10, 12, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 31, 15, 46, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 7, 9, 14, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c8d9cc08-fedf-4119-84f6-60e4e105d26c', 'end_date': datetime.datetime(2011, 6, 14, 12, 49, 17), 'start_time': datetime.datetime(2013, 1, 30, 15, 1, 4), 'rate': 1, 'updated_at': datetime.datetime(2011, 10, 12, 21, 1, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Botswana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '79a946ea-056e-4a08-bdb9-47639b66cc36', 'job_description': 'Centralized upward-trending strategy', 'start_date': datetime.datetime(2012, 9, 9, 17, 47, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 28, 18, 11, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 19, 18, 41, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e70ed6a-b7f5-4620-85ff-fb19e4b91931', 'end_date': datetime.datetime(2011, 7, 31, 20, 22, 22), 'start_time': datetime.datetime(2010, 4, 13, 2, 30, 44), 'rate': 4, 'updated_at': datetime.datetime(2019, 8, 20, 16, 0, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd3daf42b-4659-48fd-98bf-91559a0b4587', 'job_description': 'Sharable reciprocal support', 'start_date': datetime.datetime(2011, 11, 26, 2, 28, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 3, 7, 24, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 27, 1, 33, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f18f1b3b-a5d9-499b-962d-34eed89b9c6d', 'end_date': datetime.datetime(2014, 7, 1, 5, 8, 49), 'start_time': datetime.datetime(2017, 10, 29, 22, 32, 25), 'rate': 5, 'updated_at': datetime.datetime(2010, 2, 4, 7, 1, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78e0a26e-b5fb-4f69-b34d-9f30f166f0ff', 'job_description': 'Seamless fault-tolerant secured line', 'start_date': datetime.datetime(2014, 7, 23, 2, 56, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 16, 21, 10, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 13, 2, 55, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ada7dcd4-3871-460e-983f-7ef70576e3ae', 'end_date': datetime.datetime(2012, 7, 4, 19, 15, 9), 'start_time': datetime.datetime(2018, 2, 28, 4, 45, 28), 'rate': 3, 'updated_at': datetime.datetime(2012, 10, 13, 2, 26, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '47b4a094-3c63-4da1-83f5-c98a25fd9159', 'job_description': 'Focused high-level policy', 'start_date': datetime.datetime(2014, 1, 30, 22, 28, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 12, 8, 44, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 6, 20, 5, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '41cd0d6f-c8b6-47e0-9a55-e0710522b9cc', 'end_date': datetime.datetime(2012, 12, 24, 21, 55, 25), 'start_time': datetime.datetime(2010, 10, 7, 15, 31), 'rate': 3, 'updated_at': datetime.datetime(2019, 6, 18, 16, 48, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd86ee21b-5daa-4e19-9ee0-2478614b5923', 'job_description': 'Multi-layered asynchronous extranet', 'start_date': datetime.datetime(2019, 2, 16, 22, 1, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 27, 9, 26, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 15, 18, 51, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c7c01567-01b3-4f90-975d-0cfd0fb146d6', 'end_date': datetime.datetime(2011, 9, 17, 14, 9, 59), 'start_time': datetime.datetime(2016, 10, 11, 0, 55, 55), 'rate': 1, 'updated_at': datetime.datetime(2011, 11, 23, 19, 0, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '19429588-15e1-4040-8585-735f4ef95ac1', 'job_description': 'Stand-alone clear-thinking software', 'start_date': datetime.datetime(2018, 3, 18, 1, 16, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 9, 15, 27, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 20, 2, 28, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dee2d6b8-5edc-4583-b61a-b0fc0c0d2058', 'end_date': datetime.datetime(2013, 3, 21, 8, 2, 44), 'start_time': datetime.datetime(2014, 8, 28, 0, 18, 39), 'rate': 4, 'updated_at': datetime.datetime(2010, 1, 29, 2, 20, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '34cdfde0-73b3-484a-a9ce-c507b3af4e47', 'job_description': 'Persevering scalable success', 'start_date': datetime.datetime(2016, 5, 3, 4, 45, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 21, 16, 12, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 25, 0, 26, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '13230fc9-744d-44f4-8a7a-572475c7aaa3', 'end_date': datetime.datetime(2019, 1, 8, 20, 22, 43), 'start_time': datetime.datetime(2012, 11, 14, 8, 42, 12), 'rate': 5, 'updated_at': datetime.datetime(2013, 11, 1, 18, 14, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '804afb32-b160-4a0a-9223-bd4b79c74e9c', 'job_description': 'Focused multi-tasking time-frame', 'start_date': datetime.datetime(2015, 5, 24, 4, 43, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 10, 7, 18, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 11, 21, 37, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd860cadc-b04c-49c6-ad4a-e85c57cd53f7', 'end_date': datetime.datetime(2017, 9, 16, 11, 8, 53), 'start_time': datetime.datetime(2017, 11, 26, 18, 26, 46), 'rate': 3, 'updated_at': datetime.datetime(2017, 12, 5, 16, 6, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c5fc0a65-90ab-4cc7-9b7c-cc675e6b895e', 'job_description': 'Stand-alone system-worthy paradigm', 'start_date': datetime.datetime(2012, 5, 7, 21, 33, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 11, 13, 14, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 27, 12, 24, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6d40364b-fb58-4378-bd81-e0bba0bbc9c5', 'end_date': datetime.datetime(2011, 11, 16, 23, 44, 50), 'start_time': datetime.datetime(2016, 4, 16, 1, 53, 26), 'rate': 4, 'updated_at': datetime.datetime(2015, 10, 3, 17, 56, 58), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
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{'_id': 'bc141884-b11d-45ad-aa08-9fb36f353c1e', 'job_description': 'Fully-configurable secondary implementation', 'start_date': datetime.datetime(2016, 7, 14, 14, 20, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 10, 18, 50, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 23, 16, 13, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f3796f12-a576-45a0-929b-c27488532055', 'end_date': datetime.datetime(2015, 7, 12, 2, 4, 13), 'start_time': datetime.datetime(2018, 9, 24, 16, 32, 7), 'rate': 1, 'updated_at': datetime.datetime(2010, 7, 9, 0, 26, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
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{'_id': 'fa5a9008-3ea4-44b6-b749-b10359d4f8b2', 'job_description': 'Open-architected bi-directional knowledge base', 'start_date': datetime.datetime(2014, 5, 3, 5, 27, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 6, 15, 51, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 31, 14, 27, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6e60ad89-c02c-4183-be7b-a1519f25cb6a', 'end_date': datetime.datetime(2010, 12, 11, 12, 2, 19), 'start_time': datetime.datetime(2019, 5, 21, 18, 29, 7), 'rate': 2, 'updated_at': datetime.datetime(2010, 9, 9, 23, 49, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
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{'_id': '283a5e08-8347-4962-be5c-b081038f02e8', 'job_description': 'Devolved multi-state functionalities', 'start_date': datetime.datetime(2019, 4, 4, 1, 24, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 22, 22, 2, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 30, 8, 47, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '74c2e0f7-9c3b-4a6d-b9d2-4186e39bd4b4', 'end_date': datetime.datetime(2016, 5, 25, 16, 12, 12), 'start_time': datetime.datetime(2010, 2, 1, 8, 16, 48), 'rate': 5, 'updated_at': datetime.datetime(2017, 4, 2, 6, 32, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
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{'_id': '6aa6d178-ab53-41f6-9d3c-c4d6e9686df7', 'job_description': 'Up-sized directional archive', 'start_date': datetime.datetime(2017, 3, 13, 4, 54, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 30, 11, 22, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 19, 17, 55, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e42642ee-3344-4221-932f-904efaa7f141', 'end_date': datetime.datetime(2012, 3, 3, 13, 38, 55), 'start_time': datetime.datetime(2017, 6, 15, 13, 5, 18), 'rate': 1, 'updated_at': datetime.datetime(2012, 5, 19, 14, 20, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
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{'_id': '6d1aeef9-b95f-4583-ab7c-adf93b51d397', 'job_description': 'Face to face bandwidth-monitored implementation', 'start_date': datetime.datetime(2012, 4, 20, 22, 24, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 29, 22, 35, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 25, 3, 11, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'adb24640-5951-4228-95bf-447f55501e04', 'end_date': datetime.datetime(2018, 8, 19, 6, 24, 46), 'start_time': datetime.datetime(2016, 10, 21, 3, 33, 23), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 1, 14, 45, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '20fab37d-77e8-49f1-9388-fb6d1f40a809', 'job_description': 'Right-sized asynchronous standardization', 'start_date': datetime.datetime(2014, 11, 10, 10, 21, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 2, 9, 17, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 4, 22, 12, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4de55ea3-6424-42e8-b5d8-2397f0eff8e8', 'end_date': datetime.datetime(2017, 9, 16, 16, 18, 58), 'start_time': datetime.datetime(2013, 10, 8, 14, 11, 13), 'rate': 2, 'updated_at': datetime.datetime(2018, 8, 6, 7, 44, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '30fe3fea-d818-4bd7-afa4-b8afa1b83f8a', 'job_description': 'Down-sized interactive firmware', 'start_date': datetime.datetime(2017, 11, 17, 19, 47, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 9, 16, 6, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 1, 13, 31, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3fb498b0-2dd0-4a65-b155-3fc66e58765b', 'end_date': datetime.datetime(2012, 3, 8, 13, 47, 56), 'start_time': datetime.datetime(2012, 9, 5, 6, 10, 20), 'rate': 2, 'updated_at': datetime.datetime(2012, 7, 13, 3, 28, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
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{'_id': '0bf243de-6369-4e65-bcc5-b71585ccf646', 'job_description': 'Cloned needs-based utilisation', 'start_date': datetime.datetime(2019, 1, 17, 3, 16, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 5, 12, 47, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 5, 5, 54, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '74ee8819-4508-4505-8b0d-ebaf0e848047', 'end_date': datetime.datetime(2019, 4, 11, 21, 38), 'start_time': datetime.datetime(2015, 4, 10, 0, 43, 53), 'rate': 4, 'updated_at': datetime.datetime(2010, 1, 13, 21, 10, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
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{'_id': 'dabecb59-024f-4399-81a6-671251cf85a7', 'job_description': 'Adaptive system-worthy system engine', 'start_date': datetime.datetime(2014, 2, 11, 6, 46, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 12, 22, 2, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 31, 23, 29, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e977eb28-6cf6-4c1d-8d27-209b7a33412c', 'end_date': datetime.datetime(2013, 7, 25, 20, 7), 'start_time': datetime.datetime(2011, 3, 14, 12, 7, 30), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 17, 10, 36, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Bermuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0928de4a-1c50-4b00-a611-ed488c6581dd', 'job_description': 'Self-enabling motivating capacity', 'start_date': datetime.datetime(2017, 8, 13, 2, 57, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 26, 6, 47, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 27, 23, 54, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e711c885-39d9-4a16-8a0f-d5e4243b38f0', 'end_date': datetime.datetime(2013, 4, 28, 2, 34, 46), 'start_time': datetime.datetime(2012, 10, 22, 11, 40, 24), 'rate': 1, 'updated_at': datetime.datetime(2012, 6, 12, 6, 48, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Heard Island and McDonald Islands', 'special_note': 'thanks'}
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{'_id': '9c9d0aca-903d-478b-b3cb-911e535e308f', 'job_description': 'Proactive dynamic database', 'start_date': datetime.datetime(2016, 9, 5, 5, 42, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 22, 12, 43, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 25, 3, 54, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '52d64b48-9510-42cd-8839-4e077af48745', 'end_date': datetime.datetime(2017, 6, 21, 6, 26, 2), 'start_time': datetime.datetime(2018, 10, 7, 22, 41, 24), 'rate': 4, 'updated_at': datetime.datetime(2016, 8, 17, 18, 30, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Martinique', 'special_note': 'thanks'}
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{'_id': '3c3c670c-d346-43b5-8601-c12f1dcc00e1', 'job_description': 'Vision-oriented stable time-frame', 'start_date': datetime.datetime(2015, 6, 30, 16, 18, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 24, 11, 21, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 28, 22, 59, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd1304130-010f-4051-86af-b5470e586f75', 'end_date': datetime.datetime(2013, 11, 14, 23, 7, 11), 'start_time': datetime.datetime(2019, 5, 30, 0, 40, 59), 'rate': 1, 'updated_at': datetime.datetime(2016, 8, 2, 5, 35, 11), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
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{'_id': 'ed65a8c4-6611-4a43-9338-a870fb12c9a3', 'job_description': 'Profound zero defect portal', 'start_date': datetime.datetime(2013, 4, 7, 20, 18, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 24, 17, 23, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 17, 14, 45, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e96aef73-2ca1-445f-b358-d29e6730eb12', 'end_date': datetime.datetime(2014, 7, 23, 18, 31, 28), 'start_time': datetime.datetime(2017, 6, 4, 0, 40, 15), 'rate': 5, 'updated_at': datetime.datetime(2017, 6, 23, 17, 25, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9b9e2127-0208-4fb3-b3d4-d64db7256fc7', 'job_description': 'Robust radical strategy', 'start_date': datetime.datetime(2012, 6, 18, 18, 0, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 14, 4, 28, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 26, 12, 47, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '09cb3631-3914-4217-aa12-3f1a3ade302b', 'end_date': datetime.datetime(2012, 2, 24, 4, 2, 51), 'start_time': datetime.datetime(2016, 9, 18, 9, 20, 8), 'rate': 2, 'updated_at': datetime.datetime(2018, 8, 17, 5, 0, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Belgium', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ffc42e38-da43-43ad-9fcf-18b33ec8c95f', 'job_description': 'Optimized heuristic service-desk', 'start_date': datetime.datetime(2015, 2, 21, 18, 13, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 20, 15, 37, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 9, 8, 34, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0a43d698-3728-4dac-b289-4f6d9150d77a', 'end_date': datetime.datetime(2011, 1, 6, 10, 27, 1), 'start_time': datetime.datetime(2017, 12, 12, 10, 54, 14), 'rate': 5, 'updated_at': datetime.datetime(2011, 11, 1, 15, 18, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1400e6c4-69d5-4206-a801-1af22a154b86', 'job_description': 'Integrated bandwidth-monitored superstructure', 'start_date': datetime.datetime(2018, 8, 14, 23, 54, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 27, 6, 55, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 18, 16, 6, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '30e4ecd5-7c9f-4e22-bdfc-2a980c271e5f', 'end_date': datetime.datetime(2015, 12, 2, 3, 28, 45), 'start_time': datetime.datetime(2019, 1, 13, 5, 28, 22), 'rate': 5, 'updated_at': datetime.datetime(2015, 8, 17, 18, 48, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '493a7813-36ec-4ce6-8250-156261ce63ff', 'job_description': 'Synchronised well-modulated focus group', 'start_date': datetime.datetime(2017, 4, 20, 1, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 2, 20, 23, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 28, 4, 32, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd85998cb-ba72-4f83-b199-f2cb0f976697', 'end_date': datetime.datetime(2018, 11, 30, 0, 15, 50), 'start_time': datetime.datetime(2016, 5, 29, 2, 53, 26), 'rate': 4, 'updated_at': datetime.datetime(2012, 11, 14, 16, 38, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0c75bd81-0098-4a00-b139-e6df9d27e5b7', 'job_description': 'Cloned foreground focus group', 'start_date': datetime.datetime(2017, 4, 20, 1, 4, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 8, 5, 49, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 15, 0, 39, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ba1ac85-ffe3-4ed1-97b5-5e4d2c7e5753', 'end_date': datetime.datetime(2013, 3, 25, 5, 51, 6), 'start_time': datetime.datetime(2019, 3, 17, 17, 11, 24), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 8, 4, 19, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c88b13a2-e444-4d3e-a6c6-ae498596556a', 'job_description': 'Public-key user-facing architecture', 'start_date': datetime.datetime(2013, 7, 30, 22, 54, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 12, 11, 36, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 13, 19, 8, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ac45b25e-0215-46d1-8d58-90f62c31ccb5', 'end_date': datetime.datetime(2012, 10, 4, 3, 29, 3), 'start_time': datetime.datetime(2010, 8, 3, 9, 58, 14), 'rate': 3, 'updated_at': datetime.datetime(2012, 11, 1, 8, 16, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '56e2c3ba-b3c9-403b-9f28-64a2665d4e3b', 'job_description': 'Up-sized holistic task-force', 'start_date': datetime.datetime(2014, 6, 23, 5, 40, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 12, 9, 13, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 19, 1, 51, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '08c98255-e2a6-417c-8686-aa9529dd99b1', 'end_date': datetime.datetime(2011, 2, 15, 11, 42, 21), 'start_time': datetime.datetime(2019, 8, 3, 4, 37, 10), 'rate': 2, 'updated_at': datetime.datetime(2015, 1, 30, 2, 44, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dfedb1bf-a6ff-47d7-8865-2429325ee9dd', 'job_description': 'Advanced value-added monitoring', 'start_date': datetime.datetime(2014, 4, 25, 4, 10, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 4, 9, 23, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 13, 7, 6, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a11e236c-e0f8-4c21-a760-7e8307de3529', 'end_date': datetime.datetime(2017, 10, 7, 23, 48, 18), 'start_time': datetime.datetime(2014, 5, 18, 0, 54, 8), 'rate': 1, 'updated_at': datetime.datetime(2012, 1, 10, 19, 30, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81ce121f-33ab-4dd4-a2e3-9b306b8e30a0', 'job_description': 'Extended human-resource benchmark', 'start_date': datetime.datetime(2010, 9, 7, 23, 29, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 11, 3, 22, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 22, 16, 15, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7afda1aa-d9df-4c5a-a135-dba4e201b9f9', 'end_date': datetime.datetime(2015, 8, 28, 0, 15, 28), 'start_time': datetime.datetime(2014, 4, 7, 21, 40, 15), 'rate': 4, 'updated_at': datetime.datetime(2018, 2, 19, 6, 43, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Peru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c8e9b6e4-5cac-4c17-a168-106baba11115', 'job_description': 'Automated bi-directional methodology', 'start_date': datetime.datetime(2017, 6, 14, 15, 50, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 14, 0, 34, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 8, 10, 16, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4dbe7e9f-4252-4dc7-b7be-540d3550e10e', 'end_date': datetime.datetime(2017, 7, 23, 4, 57, 18), 'start_time': datetime.datetime(2019, 8, 20, 22, 8, 25), 'rate': 1, 'updated_at': datetime.datetime(2016, 5, 12, 13, 31, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '68c8f96a-1572-4aee-8f22-82b1db0c6962', 'job_description': 'Ameliorated 3rd generation paradigm', 'start_date': datetime.datetime(2014, 5, 20, 12, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 21, 15, 40, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 16, 1, 45, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9e996dcf-7b4e-4293-8c26-5152f9f0c42d', 'end_date': datetime.datetime(2010, 8, 10, 17, 43, 48), 'start_time': datetime.datetime(2017, 5, 11, 0, 53, 16), 'rate': 5, 'updated_at': datetime.datetime(2017, 3, 21, 4, 38, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bb16c7ab-a8ff-4d3f-b51b-84dfd493f0f3', 'job_description': 'Operative motivating success', 'start_date': datetime.datetime(2014, 2, 23, 12, 57, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 22, 0, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 23, 9, 58, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ff05d03-c73a-4ead-8290-f033ebf4ecf9', 'end_date': datetime.datetime(2010, 10, 21, 9, 27, 36), 'start_time': datetime.datetime(2017, 4, 14, 0, 28, 1), 'rate': 4, 'updated_at': datetime.datetime(2016, 6, 24, 13, 24, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Isle of Man', 'special_note': 'thanks'}
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{'_id': 'c14f6bba-fc7d-47a1-953d-1cf937111be5', 'job_description': 'Implemented optimizing contingency', 'start_date': datetime.datetime(2018, 3, 6, 21, 38, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 9, 17, 41, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 8, 13, 45, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4a5c74aa-5bdd-49d9-83b5-b992aaf86fa5', 'end_date': datetime.datetime(2016, 4, 30, 18, 20, 23), 'start_time': datetime.datetime(2014, 8, 22, 8, 35, 23), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 24, 16, 19, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Tuvalu', 'special_note': 'thanks'}
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{'_id': 'ec0bc273-7b67-4861-a36a-dd91dda52b26', 'job_description': 'Public-key secondary knowledge user', 'start_date': datetime.datetime(2017, 9, 9, 16, 19, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 10, 13, 40, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 5, 7, 27, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd3e9e3aa-6bc5-4a0c-8d87-bb55159e57f4', 'end_date': datetime.datetime(2014, 9, 28, 1, 48, 4), 'start_time': datetime.datetime(2017, 4, 14, 6, 2, 6), 'rate': 2, 'updated_at': datetime.datetime(2012, 7, 1, 2, 24, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
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{'_id': '4c439194-ed48-4354-84e4-e1807e91f489', 'job_description': 'Mandatory local superstructure', 'start_date': datetime.datetime(2013, 7, 5, 2, 45, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 30, 13, 37, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 31, 6, 10, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '631c1147-bd99-472a-a0da-9163b65e03fe', 'end_date': datetime.datetime(2010, 12, 21, 3, 56, 49), 'start_time': datetime.datetime(2011, 8, 5, 16, 44, 14), 'rate': 2, 'updated_at': datetime.datetime(2016, 12, 28, 15, 19, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': 'a82b393b-6581-4132-8c21-6adb98c050aa', 'job_description': 'Self-enabling bi-directional open system', 'start_date': datetime.datetime(2013, 6, 9, 12, 46, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 10, 20, 27, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 2, 4, 21, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '53605df2-e983-4527-b315-7da34cd72381', 'end_date': datetime.datetime(2016, 12, 1, 4, 44, 52), 'start_time': datetime.datetime(2016, 3, 2, 16, 9, 4), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 1, 1, 27, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
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{'_id': '1c88d7e6-b414-43cc-96db-931fad0000f5', 'job_description': 'Reduced methodical conglomeration', 'start_date': datetime.datetime(2016, 1, 27, 3, 4, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 7, 15, 51, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 11, 3, 46, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5add39d-26d1-4bf1-aed8-52ead5c861be', 'end_date': datetime.datetime(2017, 3, 30, 19, 33, 50), 'start_time': datetime.datetime(2017, 6, 8, 18, 32, 4), 'rate': 5, 'updated_at': datetime.datetime(2016, 8, 21, 18, 31, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
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{'_id': '5a9daf89-081a-4a80-8113-ef8b5ad95b61', 'job_description': 'Realigned exuding artificial intelligence', 'start_date': datetime.datetime(2014, 11, 11, 14, 55, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 4, 0, 59, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 17, 17, 9, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a8361106-13d0-4eb0-bf27-574be3b9cc88', 'end_date': datetime.datetime(2018, 11, 10, 12, 25, 46), 'start_time': datetime.datetime(2018, 1, 16, 3, 48, 20), 'rate': 5, 'updated_at': datetime.datetime(2017, 2, 26, 3, 40, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': '5a4d7c15-2078-425b-a6d7-898f34c40d47', 'job_description': 'Robust non-volatile productivity', 'start_date': datetime.datetime(2014, 3, 13, 0, 28, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 25, 20, 25, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 23, 18, 55, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3adb8fd9-d8bf-4d1f-ac88-9a7add64a404', 'end_date': datetime.datetime(2015, 5, 7, 19, 26, 14), 'start_time': datetime.datetime(2011, 9, 5, 7, 14, 46), 'rate': 5, 'updated_at': datetime.datetime(2010, 8, 5, 7, 10, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
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{'_id': '2849f4a1-a623-4d81-8fb0-130e6d751eb0', 'job_description': 'Re-contextualized multi-state parallelism', 'start_date': datetime.datetime(2015, 10, 29, 22, 16, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 21, 3, 49, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 1, 23, 28, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '26a2bf97-7b99-44d8-8fb4-cce99c03812e', 'end_date': datetime.datetime(2018, 12, 3, 19, 12, 6), 'start_time': datetime.datetime(2012, 6, 24, 6, 45, 21), 'rate': 3, 'updated_at': datetime.datetime(2014, 9, 16, 21, 4, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Montserrat', 'special_note': 'thanks'}
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{'_id': '9fd88fa1-6a54-4e75-af8c-7ce37512e225', 'job_description': 'Polarised logistical moratorium', 'start_date': datetime.datetime(2015, 8, 7, 23, 51, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 9, 0, 28, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 21, 3, 3, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '65a24540-4791-4a01-a577-263f3fddbb6c', 'end_date': datetime.datetime(2016, 5, 8, 6, 50, 3), 'start_time': datetime.datetime(2012, 7, 30, 20, 45, 40), 'rate': 2, 'updated_at': datetime.datetime(2011, 7, 24, 8, 36, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '62a6c07d-c8de-46af-a284-6c659aad89df', 'job_description': 'Cross-platform fresh-thinking archive', 'start_date': datetime.datetime(2013, 1, 15, 15, 51, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 22, 14, 4, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 1, 16, 52, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5b0731d9-42d5-4f6b-8440-018885edce10', 'end_date': datetime.datetime(2018, 2, 15, 13, 19, 56), 'start_time': datetime.datetime(2019, 11, 16, 7, 49, 32), 'rate': 1, 'updated_at': datetime.datetime(2019, 1, 5, 19, 48, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
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{'_id': 'edc76983-783e-47d6-a999-9a80ab05a7a9', 'job_description': 'Implemented bandwidth-monitored info-mediaries', 'start_date': datetime.datetime(2018, 8, 30, 17, 20, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 3, 13, 4, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 22, 12, 4, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '74a4cafa-1ac6-4070-bbe8-b533dc7d2f97', 'end_date': datetime.datetime(2013, 2, 22, 2, 17, 37), 'start_time': datetime.datetime(2014, 12, 22, 8, 38, 30), 'rate': 4, 'updated_at': datetime.datetime(2013, 12, 20, 2, 45, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
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{'_id': '716b181b-da9f-4cf9-bf24-2cf799209dc0', 'job_description': 'Progressive motivating Graphic Interface', 'start_date': datetime.datetime(2012, 1, 17, 13, 24, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 27, 2, 10, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 21, 9, 22, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3ae83677-c44e-4b98-9f80-2f3f0823bf98', 'end_date': datetime.datetime(2019, 6, 30, 15, 51, 39), 'start_time': datetime.datetime(2016, 1, 14, 18, 22, 37), 'rate': 2, 'updated_at': datetime.datetime(2012, 4, 1, 14, 36, 29), 'job_title': 'CoffeeMaker', 'service_id': 'New Caledonia', 'special_note': 'thanks'}
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{'_id': '8282aa2c-0e1e-476f-8054-80edec156077', 'job_description': 'Implemented client-driven application', 'start_date': datetime.datetime(2013, 8, 5, 3, 17, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 29, 13, 38, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 27, 15, 0, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '13122919-27f2-4a76-b747-70fb70c072e3', 'end_date': datetime.datetime(2015, 6, 22, 6, 59, 49), 'start_time': datetime.datetime(2018, 12, 28, 12, 38, 41), 'rate': 4, 'updated_at': datetime.datetime(2018, 10, 20, 9, 18, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
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{'_id': 'c6535429-64c7-477b-b0a1-3d170fa735c1', 'job_description': 'Fundamental dynamic strategy', 'start_date': datetime.datetime(2015, 8, 16, 15, 42, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 14, 17, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 7, 21, 58, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '96fd70b6-e71a-47bc-8845-a1e9c2f2f79b', 'end_date': datetime.datetime(2011, 6, 12, 2, 22, 4), 'start_time': datetime.datetime(2014, 11, 8, 9, 53, 11), 'rate': 5, 'updated_at': datetime.datetime(2013, 8, 17, 20, 44, 51), 'job_title': 'CoffeeMaker', 'service_id': 'India', 'special_note': 'thanks'}
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{'_id': '3c60d76d-575d-43be-b009-604b948acf12', 'job_description': 'Secured maximized help-desk', 'start_date': datetime.datetime(2010, 7, 5, 21, 12, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 10, 10, 14, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 5, 5, 9, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '612d9c84-6db1-4eeb-8dd7-299172a85794', 'end_date': datetime.datetime(2019, 1, 25, 19, 9, 23), 'start_time': datetime.datetime(2011, 10, 11, 11, 58, 47), 'rate': 3, 'updated_at': datetime.datetime(2011, 2, 17, 22, 53, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
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{'_id': '2b69b00e-13f2-4dbf-9f86-eda5fc0ce8db', 'job_description': 'Compatible directional toolset', 'start_date': datetime.datetime(2016, 7, 15, 19, 40, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 28, 21, 29, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 31, 0, 52, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3d7a7057-35c9-4d57-a850-8a89330daf89', 'end_date': datetime.datetime(2014, 11, 5, 16, 44, 49), 'start_time': datetime.datetime(2017, 2, 18, 18, 19, 54), 'rate': 1, 'updated_at': datetime.datetime(2011, 2, 21, 3, 52, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Puerto Rico', 'special_note': 'thanks'}
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{'_id': '9eebc803-43c6-45b1-9163-9592dc3b7cf2', 'job_description': 'Open-source high-level installation', 'start_date': datetime.datetime(2011, 10, 17, 16, 15, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 7, 19, 30, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 28, 4, 10, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a0d989e4-372b-4afe-bafc-94b57fc5b784', 'end_date': datetime.datetime(2011, 12, 4, 10, 21, 33), 'start_time': datetime.datetime(2010, 5, 17, 11, 29, 52), 'rate': 3, 'updated_at': datetime.datetime(2013, 10, 9, 7, 44, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': '339501d1-1814-4d2c-914f-8a75b6503bce', 'job_description': 'Future-proofed tangible knowledge user', 'start_date': datetime.datetime(2018, 8, 31, 19, 3, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 14, 8, 41, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 11, 14, 21, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a55362d2-9714-49f0-a9c3-702c87a253d4', 'end_date': datetime.datetime(2018, 7, 21, 21, 59, 10), 'start_time': datetime.datetime(2012, 5, 3, 12, 20, 31), 'rate': 5, 'updated_at': datetime.datetime(2015, 9, 29, 10, 23, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
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{'_id': '12ea5bdc-f224-4b13-8cda-b63928c0b94f', 'job_description': 'Operative heuristic synergy', 'start_date': datetime.datetime(2010, 9, 6, 12, 49, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 14, 4, 30, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 12, 17, 46, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ac1b1d13-a362-4e05-8e1e-836ccdc6c69d', 'end_date': datetime.datetime(2015, 5, 29, 15, 18, 28), 'start_time': datetime.datetime(2010, 6, 8, 11, 3, 17), 'rate': 1, 'updated_at': datetime.datetime(2011, 3, 30, 2, 27, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': 'd4558f25-c63f-49c9-905b-492a77d37ac1', 'job_description': 'Vision-oriented impactful leverage', 'start_date': datetime.datetime(2013, 2, 25, 15, 13, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 23, 9, 41, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 28, 9, 1, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '880df362-f8e5-4714-887f-e28ebc314a33', 'end_date': datetime.datetime(2018, 11, 30, 23, 52, 22), 'start_time': datetime.datetime(2017, 5, 26, 11, 5, 48), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 11, 22, 50, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
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{'_id': '7056092d-d682-4e05-abe2-3ea13746f77a', 'job_description': 'Phased leading edge info-mediaries', 'start_date': datetime.datetime(2012, 5, 22, 14, 11, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 28, 8, 20, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 15, 17, 5, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2789dfb-5eff-47ae-b2bb-462494e77821', 'end_date': datetime.datetime(2019, 8, 27, 19, 42, 30), 'start_time': datetime.datetime(2014, 1, 9, 5, 40, 39), 'rate': 5, 'updated_at': datetime.datetime(2011, 10, 3, 6, 33, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
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{'_id': 'a7b19803-f167-449b-8aa4-60ea5f438939', 'job_description': 'Pre-emptive impactful workforce', 'start_date': datetime.datetime(2011, 2, 18, 21, 7, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 31, 9, 25, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 18, 8, 46, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '94021962-1be4-4150-b3a5-48adc363b65e', 'end_date': datetime.datetime(2012, 6, 1, 16, 57, 42), 'start_time': datetime.datetime(2014, 11, 10, 17, 30, 24), 'rate': 2, 'updated_at': datetime.datetime(2012, 5, 30, 7, 56, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '519febd9-3c63-42d1-a2ae-d6728a5ad2a4', 'job_description': 'Proactive discrete benchmark', 'start_date': datetime.datetime(2013, 9, 10, 8, 3, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 28, 14, 22, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 29, 15, 48, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '94728789-f26c-42d1-a31f-4356df0f50c2', 'end_date': datetime.datetime(2010, 3, 12, 20, 54, 22), 'start_time': datetime.datetime(2011, 9, 18, 10, 26, 45), 'rate': 4, 'updated_at': datetime.datetime(2013, 7, 12, 14, 23, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': '09ea5ca8-d3cb-4405-8f23-cc7527953d02', 'job_description': 'Object-based holistic collaboration', 'start_date': datetime.datetime(2011, 3, 14, 8, 3, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 28, 23, 7, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 17, 0, 9, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '66a6b515-ca58-4444-9652-3c517cfa352c', 'end_date': datetime.datetime(2010, 9, 24, 5, 54, 6), 'start_time': datetime.datetime(2017, 9, 17, 5, 59, 6), 'rate': 1, 'updated_at': datetime.datetime(2018, 6, 3, 22, 57, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
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{'_id': '2bfba38d-c5e3-4d9f-bc58-ef71593014e0', 'job_description': 'Versatile even-keeled help-desk', 'start_date': datetime.datetime(2014, 9, 12, 21, 36, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 1, 20, 26, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 6, 4, 20, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd7abbab0-0261-4f1a-a4f7-5f275724d093', 'end_date': datetime.datetime(2016, 9, 17, 2, 14, 1), 'start_time': datetime.datetime(2010, 10, 21, 19, 43, 47), 'rate': 3, 'updated_at': datetime.datetime(2012, 10, 15, 3, 46, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
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{'_id': 'e0b2f6f8-22f8-4cb7-aa0c-6bc2ee1bbb92', 'job_description': 'Compatible 24/7 adapter', 'start_date': datetime.datetime(2015, 6, 17, 8, 30, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 20, 11, 57, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 10, 16, 6, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '21063812-4cac-4d69-84fd-d5ba338cdf68', 'end_date': datetime.datetime(2013, 3, 31, 1, 28, 58), 'start_time': datetime.datetime(2019, 6, 14, 20, 43, 25), 'rate': 3, 'updated_at': datetime.datetime(2014, 3, 7, 7, 10, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
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{'_id': 'bb61aeb6-5dfb-4156-9646-908651b7b8cf', 'job_description': 'Re-engineered interactive matrix', 'start_date': datetime.datetime(2018, 3, 29, 22, 34, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 7, 8, 49, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 23, 6, 28, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '557c4b6a-8222-4aca-8c2f-df13619b246a', 'end_date': datetime.datetime(2010, 5, 4, 7, 53, 25), 'start_time': datetime.datetime(2016, 2, 23, 0, 11, 42), 'rate': 3, 'updated_at': datetime.datetime(2015, 9, 14, 9, 6, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '281c5197-3657-47f2-93b3-d6f1d711747c', 'job_description': 'Configurable assymetric open architecture', 'start_date': datetime.datetime(2014, 2, 1, 9, 59, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 21, 4, 3, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 25, 13, 19, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '09feab05-4efe-47b2-a3e2-8b7d4561e5b6', 'end_date': datetime.datetime(2013, 8, 14, 0, 58, 32), 'start_time': datetime.datetime(2012, 6, 24, 17, 5, 36), 'rate': 3, 'updated_at': datetime.datetime(2014, 10, 22, 18, 45, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Antarctica (the territory South of 60 deg S)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6be3060f-b69a-4473-832d-576d9c38c6be', 'job_description': 'Advanced system-worthy firmware', 'start_date': datetime.datetime(2013, 5, 5, 23, 51, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 10, 10, 37, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 1, 16, 15, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f1a27663-8107-4eea-b18c-68d4d15e5d2f', 'end_date': datetime.datetime(2016, 9, 25, 16, 15, 49), 'start_time': datetime.datetime(2012, 7, 8, 20, 58, 44), 'rate': 2, 'updated_at': datetime.datetime(2016, 10, 27, 9, 17, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '47e6213b-2a74-4035-8307-9d9febfa5fbe', 'job_description': 'Multi-tiered systematic data-warehouse', 'start_date': datetime.datetime(2013, 11, 2, 23, 45, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 13, 9, 46, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 27, 3, 32, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b59f5c2b-8c1e-44e1-9a8e-90de2437092e', 'end_date': datetime.datetime(2011, 4, 17, 8, 29, 42), 'start_time': datetime.datetime(2010, 2, 5, 4, 2, 20), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 17, 14, 21, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2ad7926d-c75a-4681-9c4e-757b60b40bfe', 'job_description': 'Synergistic foreground implementation', 'start_date': datetime.datetime(2018, 6, 27, 9, 45, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 24, 19, 9, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 28, 13, 44, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2b094b2c-e000-4dd6-beea-4f937c1f9329', 'end_date': datetime.datetime(2014, 10, 3, 16, 7, 30), 'start_time': datetime.datetime(2018, 5, 21, 9, 50, 54), 'rate': 3, 'updated_at': datetime.datetime(2015, 8, 4, 14, 40, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8ffe740b-b578-4e73-af5b-1f6a7b85dedf', 'job_description': 'Ergonomic reciprocal matrix', 'start_date': datetime.datetime(2015, 10, 31, 17, 48, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 9, 10, 43, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 4, 23, 21, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3c5caca1-a994-4667-ba96-4c144bac5829', 'end_date': datetime.datetime(2012, 5, 28, 23, 45, 57), 'start_time': datetime.datetime(2012, 12, 29, 16, 25, 13), 'rate': 3, 'updated_at': datetime.datetime(2017, 8, 16, 20, 53, 18), 'job_title': 'CoffeeMaker', 'service_id': 'South Africa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8ca663c2-e67d-4263-9696-7f223dff5ab1', 'job_description': 'Enterprise-wide responsive orchestration', 'start_date': datetime.datetime(2019, 2, 14, 20, 51, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 9, 16, 31, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 21, 1, 14, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '141fb78c-dd90-4743-809e-ce5058929600', 'end_date': datetime.datetime(2016, 7, 22, 5, 42, 48), 'start_time': datetime.datetime(2014, 8, 28, 1, 59, 56), 'rate': 3, 'updated_at': datetime.datetime(2018, 4, 16, 1, 18, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '74eed940-8713-48a8-b0f8-e85d27fdb5e8', 'job_description': 'Multi-layered context-sensitive policy', 'start_date': datetime.datetime(2011, 11, 20, 4, 54, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 20, 7, 29, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 30, 15, 11, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ae023a1d-6f50-4946-94d5-dbc708bf0163', 'end_date': datetime.datetime(2019, 5, 13, 23, 2, 55), 'start_time': datetime.datetime(2016, 3, 13, 1, 16, 6), 'rate': 3, 'updated_at': datetime.datetime(2018, 3, 10, 22, 6, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0a3b1d07-f89c-49df-a2f2-5f88ff2bb5d0', 'job_description': 'Managed object-oriented firmware', 'start_date': datetime.datetime(2012, 6, 26, 15, 42, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 26, 16, 9, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 9, 22, 26, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0e8e4b84-44ce-446b-9739-e137260599b8', 'end_date': datetime.datetime(2018, 10, 16, 20, 28, 33), 'start_time': datetime.datetime(2016, 4, 28, 4, 27, 43), 'rate': 1, 'updated_at': datetime.datetime(2010, 8, 17, 0, 58, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c1a63b63-14d2-40ac-a1c4-7dc494222eef', 'job_description': 'Focused mobile moratorium', 'start_date': datetime.datetime(2017, 5, 19, 0, 18, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 15, 4, 43, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 22, 10, 28, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dda51087-52ae-4eb7-9978-99311cc532df', 'end_date': datetime.datetime(2010, 9, 19, 9, 55, 13), 'start_time': datetime.datetime(2012, 10, 25, 21, 41, 33), 'rate': 4, 'updated_at': datetime.datetime(2011, 8, 1, 7, 50, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4ba5470a-0669-434b-b5ff-1e68dd90a668', 'job_description': 'User-centric multi-state open system', 'start_date': datetime.datetime(2016, 6, 13, 6, 21, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 17, 1, 30, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 2, 13, 21, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c8e9c010-7588-44dc-b13f-d5516c2dec6b', 'end_date': datetime.datetime(2014, 4, 30, 23, 43, 30), 'start_time': datetime.datetime(2014, 8, 5, 8, 2, 5), 'rate': 5, 'updated_at': datetime.datetime(2015, 11, 7, 8, 13, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2af91990-1604-4fb9-b742-a33fbb355728', 'job_description': 'Cloned interactive collaboration', 'start_date': datetime.datetime(2011, 8, 21, 4, 27, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 4, 22, 50, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 25, 20, 52, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ae3c979-d09d-44a4-9275-5e2d26c550bc', 'end_date': datetime.datetime(2012, 11, 1, 1, 36, 15), 'start_time': datetime.datetime(2014, 4, 5, 10, 43, 26), 'rate': 4, 'updated_at': datetime.datetime(2010, 1, 21, 12, 58, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fc1e84dd-37dc-486f-8be0-762d0a0ec39e', 'job_description': 'Multi-lateral discrete knowledge base', 'start_date': datetime.datetime(2015, 12, 20, 14, 2, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 29, 22, 24, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 20, 20, 45, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '451ad304-c5b5-4384-ba21-56c56aa623ac', 'end_date': datetime.datetime(2016, 10, 26, 1, 58, 51), 'start_time': datetime.datetime(2014, 1, 10, 17, 57, 8), 'rate': 5, 'updated_at': datetime.datetime(2015, 2, 5, 19, 47, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8eb7871b-be1d-4939-9472-2ca908478125', 'job_description': 'Automated next generation moratorium', 'start_date': datetime.datetime(2011, 11, 27, 13, 32, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 6, 14, 34, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 7, 12, 51, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9bd6f2f5-f6b2-4e27-ac52-53541b03682d', 'end_date': datetime.datetime(2018, 7, 31, 11, 17, 42), 'start_time': datetime.datetime(2015, 7, 3, 9, 7, 51), 'rate': 5, 'updated_at': datetime.datetime(2013, 5, 24, 6, 54, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3b700c8a-c3b5-4d67-b946-19970fa70a3c', 'job_description': 'Devolved interactive policy', 'start_date': datetime.datetime(2010, 4, 11, 19, 37, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 6, 7, 10, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 31, 2, 46, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '86f199d6-e9dd-451f-8460-f329c2de37f8', 'end_date': datetime.datetime(2018, 8, 7, 20, 15, 59), 'start_time': datetime.datetime(2012, 2, 24, 16, 26, 21), 'rate': 2, 'updated_at': datetime.datetime(2016, 8, 5, 1, 29, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a4fde094-fdc1-4567-8a14-86cfc623c425', 'job_description': 'Ameliorated bifurcated data-warehouse', 'start_date': datetime.datetime(2014, 12, 28, 2, 33, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 10, 9, 1, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 30, 7, 48, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '26355077-a523-4a20-8197-abaeb018a9f8', 'end_date': datetime.datetime(2016, 1, 22, 6, 35, 39), 'start_time': datetime.datetime(2011, 4, 12, 15, 42, 27), 'rate': 1, 'updated_at': datetime.datetime(2013, 5, 23, 2, 2, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '69ebdc5d-b7b9-49d7-a36a-c2509f6e8ea2', 'job_description': 'Decentralized reciprocal matrix', 'start_date': datetime.datetime(2016, 11, 9, 23, 43, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 21, 15, 41, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 19, 4, 55, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c0fa766-f77a-414f-aa39-cc4f091f1c4c', 'end_date': datetime.datetime(2015, 11, 27, 6, 14, 6), 'start_time': datetime.datetime(2018, 9, 2, 22, 31, 42), 'rate': 2, 'updated_at': datetime.datetime(2016, 9, 16, 15, 56, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2d1d072e-83d0-4af3-9d21-1da1ad07d925', 'job_description': 'Digitized modular attitude', 'start_date': datetime.datetime(2018, 6, 2, 16, 46, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 28, 17, 33, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 7, 6, 54, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ccada75f-6136-4b09-936a-0824c91b75f4', 'end_date': datetime.datetime(2017, 5, 12, 8, 20, 36), 'start_time': datetime.datetime(2019, 7, 11, 13, 18, 15), 'rate': 5, 'updated_at': datetime.datetime(2017, 5, 28, 19, 22, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6042978f-0384-4e65-9432-3f7c39ce9b04', 'job_description': 'Proactive web-enabled pricing structure', 'start_date': datetime.datetime(2011, 5, 28, 17, 6, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 30, 8, 27, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 13, 13, 49, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9dc268ae-af36-4371-85cc-8223fa7a3e91', 'end_date': datetime.datetime(2018, 3, 30, 15, 52, 39), 'start_time': datetime.datetime(2011, 2, 23, 17, 14, 36), 'rate': 4, 'updated_at': datetime.datetime(2019, 5, 31, 10, 57, 3), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cb7fc442-b662-4fe7-82df-522349ebd75c', 'job_description': 'Business-focused tertiary superstructure', 'start_date': datetime.datetime(2010, 2, 23, 18, 26, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 1, 10, 37, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 19, 20, 7, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9b94f35-c85a-4938-b1ec-8f697ff216ce', 'end_date': datetime.datetime(2012, 6, 5, 21, 10, 54), 'start_time': datetime.datetime(2017, 1, 2, 23, 27, 20), 'rate': 5, 'updated_at': datetime.datetime(2017, 9, 8, 23, 2, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f737b7fc-f10b-4e13-afc8-ea4a98bce355', 'job_description': 'User-centric eco-centric local area network', 'start_date': datetime.datetime(2018, 10, 10, 14, 4, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 26, 16, 29, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 5, 3, 52, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2cebf1ed-db11-4039-bf66-c9a313dd01a9', 'end_date': datetime.datetime(2017, 3, 4, 18, 2, 8), 'start_time': datetime.datetime(2016, 6, 18, 5, 6, 7), 'rate': 4, 'updated_at': datetime.datetime(2019, 11, 19, 9, 45, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2e39feb6-8b3c-4cfa-b073-bee3edef9d9d', 'job_description': 'Re-engineered multi-state database', 'start_date': datetime.datetime(2018, 1, 2, 11, 7, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 10, 13, 57, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 9, 5, 39, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '13c8180a-3c9f-42b8-ad11-84a19edd2c16', 'end_date': datetime.datetime(2018, 7, 26, 0, 27, 23), 'start_time': datetime.datetime(2012, 5, 26, 22, 24, 42), 'rate': 2, 'updated_at': datetime.datetime(2013, 10, 4, 11, 5, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1c9dd5f9-494d-4586-aaca-324303b6c229', 'job_description': 'Quality-focused scalable circuit', 'start_date': datetime.datetime(2017, 1, 5, 9, 0, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 16, 3, 13, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 14, 10, 34, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a7eeae9-d9a2-4abd-bdf8-2a23c692583c', 'end_date': datetime.datetime(2016, 3, 13, 5, 7, 26), 'start_time': datetime.datetime(2014, 5, 8, 18, 49, 41), 'rate': 5, 'updated_at': datetime.datetime(2019, 10, 13, 17, 34, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bb323dd9-2d79-4fdd-940a-984aa8891509', 'job_description': 'Horizontal multi-tasking software', 'start_date': datetime.datetime(2018, 9, 2, 12, 11, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 3, 7, 3, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 7, 5, 42, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd8671a43-a097-4c3a-b06c-9c7a36be59c3', 'end_date': datetime.datetime(2019, 5, 28, 8, 48, 41), 'start_time': datetime.datetime(2012, 7, 10, 16, 37, 24), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 12, 3, 17, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Latvia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd2de3a6b-072a-43aa-9aca-7dab212f4a5b', 'job_description': 'Cross-platform holistic attitude', 'start_date': datetime.datetime(2016, 5, 15, 5, 2, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 30, 14, 28, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 7, 14, 15, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e183e346-030a-401f-b07a-898697bbe7e3', 'end_date': datetime.datetime(2017, 5, 13, 23, 8, 53), 'start_time': datetime.datetime(2015, 12, 28, 9, 4, 45), 'rate': 5, 'updated_at': datetime.datetime(2014, 7, 29, 18, 18, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e42f7315-035a-4eef-b201-8053afded350', 'job_description': 'Robust neutral productivity', 'start_date': datetime.datetime(2016, 7, 13, 10, 49, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 7, 18, 21, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 19, 1, 2, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '364d9f63-cad6-4690-bf34-8d0754d97f3e', 'end_date': datetime.datetime(2015, 5, 1, 1, 44, 51), 'start_time': datetime.datetime(2014, 10, 26, 13, 24, 25), 'rate': 5, 'updated_at': datetime.datetime(2015, 3, 11, 15, 43, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3fe74f9e-939f-4123-8f6c-695ab160dc5e', 'job_description': 'Robust maximized extranet', 'start_date': datetime.datetime(2013, 6, 24, 22, 50, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 7, 0, 6, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 20, 12, 43, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '62080950-8b0a-46fd-a50c-1f3fd9f39f52', 'end_date': datetime.datetime(2012, 7, 5, 14, 46, 49), 'start_time': datetime.datetime(2011, 3, 5, 17, 19, 37), 'rate': 4, 'updated_at': datetime.datetime(2010, 7, 12, 9, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9b920949-9812-48ee-ac89-86e5edb1d9ee', 'job_description': 'Future-proofed actuating methodology', 'start_date': datetime.datetime(2018, 3, 18, 17, 44, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 27, 20, 39, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 1, 18, 31, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'df91ffa1-70f3-4e5c-8b8b-346933759629', 'end_date': datetime.datetime(2011, 4, 21, 17, 9, 9), 'start_time': datetime.datetime(2014, 3, 13, 21, 29, 9), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 18, 3, 51, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e0d2736b-0810-42ef-83d6-9645e1a7c03b', 'job_description': 'Switchable scalable data-warehouse', 'start_date': datetime.datetime(2011, 1, 9, 11, 1, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 4, 23, 28, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 4, 18, 18, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf42c5c7-2565-471c-9ab6-9c2e793bdeda', 'end_date': datetime.datetime(2017, 12, 3, 0, 19, 54), 'start_time': datetime.datetime(2010, 10, 30, 10, 10, 37), 'rate': 2, 'updated_at': datetime.datetime(2015, 9, 6, 9, 0, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Japan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e5d44aea-5fae-4bb7-ae1e-091a96f737e1', 'job_description': 'Polarised zero administration definition', 'start_date': datetime.datetime(2013, 12, 26, 15, 11, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 26, 18, 11, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 11, 15, 50, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5449344e-fe94-4097-acff-777c3755044e', 'end_date': datetime.datetime(2012, 9, 27, 2, 35, 46), 'start_time': datetime.datetime(2011, 10, 30, 4, 11, 51), 'rate': 4, 'updated_at': datetime.datetime(2017, 10, 15, 22, 23, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd22c1453-2810-4828-8034-8007f7738148', 'job_description': 'Object-based heuristic superstructure', 'start_date': datetime.datetime(2015, 5, 18, 2, 42, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 9, 7, 54, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 23, 6, 37, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '58ca13e9-17b3-4c39-af42-01595a7a973b', 'end_date': datetime.datetime(2015, 1, 10, 8, 43, 39), 'start_time': datetime.datetime(2018, 12, 1, 14, 10, 42), 'rate': 2, 'updated_at': datetime.datetime(2017, 4, 18, 4, 19, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cea354d5-adbf-474b-a50d-022996f6a36b', 'job_description': 'Multi-layered fault-tolerant benchmark', 'start_date': datetime.datetime(2011, 7, 19, 21, 56, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 9, 16, 26, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 3, 18, 13, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e201de82-a9f1-4642-a2d1-93bb5e053d77', 'end_date': datetime.datetime(2019, 6, 7, 5, 4, 7), 'start_time': datetime.datetime(2010, 2, 21, 8, 52, 58), 'rate': 2, 'updated_at': datetime.datetime(2015, 1, 2, 19, 59, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '08884853-bb7d-4413-aa6c-9f3dcb8cd439', 'job_description': 'Managed motivating solution', 'start_date': datetime.datetime(2014, 9, 28, 2, 41, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 13, 18, 8, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 26, 15, 15, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b9208c26-879d-4650-959c-0a4512038bb2', 'end_date': datetime.datetime(2013, 4, 4, 14, 52, 8), 'start_time': datetime.datetime(2016, 9, 14, 16, 49, 2), 'rate': 4, 'updated_at': datetime.datetime(2019, 10, 19, 9, 30, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b4f635ea-edc8-4b2f-9bd0-9af0d91b0d3e', 'job_description': 'Profound systematic internet solution', 'start_date': datetime.datetime(2018, 2, 13, 15, 55, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 14, 9, 32, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 17, 16, 8, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '93d44595-d36a-42c5-a40b-61d54a383105', 'end_date': datetime.datetime(2016, 3, 24, 19, 29, 10), 'start_time': datetime.datetime(2018, 9, 13, 13, 4, 23), 'rate': 3, 'updated_at': datetime.datetime(2012, 12, 12, 22, 44, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c1d95711-78e1-4d7e-b616-f52108583704', 'job_description': 'Integrated motivating forecast', 'start_date': datetime.datetime(2012, 5, 22, 1, 39, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 1, 14, 54, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 6, 4, 21, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '83005032-7a93-4801-a405-e8c31e9d2714', 'end_date': datetime.datetime(2012, 4, 29, 23, 27, 44), 'start_time': datetime.datetime(2015, 1, 8, 5, 34, 37), 'rate': 1, 'updated_at': datetime.datetime(2018, 10, 31, 5, 28, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Indonesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'caaf60b7-964c-453d-8bc5-c71f9eba63b1', 'job_description': 'Centralized bandwidth-monitored focus group', 'start_date': datetime.datetime(2016, 6, 8, 4, 53, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 5, 16, 29, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 22, 22, 8, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c6e4a00d-ccfc-4ca0-a71a-38ec092ea2d4', 'end_date': datetime.datetime(2012, 8, 27, 16, 56, 34), 'start_time': datetime.datetime(2015, 11, 25, 0, 22, 32), 'rate': 4, 'updated_at': datetime.datetime(2010, 10, 29, 14, 6, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Gambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '804b877e-bfa1-4d41-a0f0-e65d9621873f', 'job_description': 'Grass-roots actuating help-desk', 'start_date': datetime.datetime(2016, 7, 8, 11, 7, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 4, 4, 24, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 10, 12, 38, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'be38fb0b-8160-47cb-80ba-5fd6ed325157', 'end_date': datetime.datetime(2010, 9, 17, 23, 52, 10), 'start_time': datetime.datetime(2019, 3, 18, 13, 21, 13), 'rate': 5, 'updated_at': datetime.datetime(2019, 5, 14, 19, 7, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fa9918e5-625d-46df-ab8f-3f52f6103085', 'job_description': 'Self-enabling next generation groupware', 'start_date': datetime.datetime(2015, 8, 31, 11, 11, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 16, 12, 33, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 24, 12, 45, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3de7c0db-4cd1-45b9-a186-86b37d974c09', 'end_date': datetime.datetime(2019, 7, 29, 19, 13, 57), 'start_time': datetime.datetime(2012, 1, 30, 14, 5, 18), 'rate': 5, 'updated_at': datetime.datetime(2019, 10, 10, 22, 46, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f2e5a120-71e5-48c9-8ce1-d5fcb07893b0', 'job_description': 'Synergistic intangible toolset', 'start_date': datetime.datetime(2012, 7, 16, 10, 16, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 4, 14, 20, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 5, 9, 45, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2b84d4b8-287c-4a57-a0d4-e28e2daf6710', 'end_date': datetime.datetime(2010, 7, 8, 0, 12, 5), 'start_time': datetime.datetime(2014, 10, 13, 4, 21, 43), 'rate': 2, 'updated_at': datetime.datetime(2013, 12, 17, 0, 51, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6321c3b2-e88f-4dd2-bd6b-1eb8c83edddf', 'job_description': 'Phased 24/7 knowledge user', 'start_date': datetime.datetime(2017, 8, 13, 3, 20, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 26, 9, 6, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 27, 18, 44, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c653f9cb-4684-4f82-bc4a-608dd939c02a', 'end_date': datetime.datetime(2016, 4, 3, 1, 26, 28), 'start_time': datetime.datetime(2017, 8, 18, 5, 3, 1), 'rate': 2, 'updated_at': datetime.datetime(2017, 12, 7, 6, 47, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fe18752f-35ea-4523-b522-6b2b6a7abe49', 'job_description': 'Synchronised motivating customer loyalty', 'start_date': datetime.datetime(2012, 5, 27, 18, 39, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 18, 20, 36, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 18, 18, 0, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '97de4f3a-08f4-4b10-9741-5a9f32a41591', 'end_date': datetime.datetime(2010, 4, 20, 21, 3, 53), 'start_time': datetime.datetime(2011, 6, 29, 6, 29, 8), 'rate': 5, 'updated_at': datetime.datetime(2010, 1, 15, 15, 4, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1c56b3b4-dce8-42b1-8cb9-0f3ce650267b', 'job_description': 'Optional client-server throughput', 'start_date': datetime.datetime(2011, 1, 1, 17, 53, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 12, 23, 27, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 30, 7, 45, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '74966455-d963-4509-8b13-c66439f7720a', 'end_date': datetime.datetime(2016, 3, 10, 12, 25, 58), 'start_time': datetime.datetime(2017, 2, 11, 9, 3, 12), 'rate': 1, 'updated_at': datetime.datetime(2016, 5, 3, 12, 41, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2868ad24-61a8-403b-b274-3e48e03c6b74', 'job_description': 'Implemented executive application', 'start_date': datetime.datetime(2011, 7, 4, 16, 42, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 30, 17, 8, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 10, 19, 9, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f99ad476-5559-4e34-ad9c-169061ce5877', 'end_date': datetime.datetime(2017, 11, 4, 6, 16, 51), 'start_time': datetime.datetime(2014, 1, 17, 21, 7, 20), 'rate': 1, 'updated_at': datetime.datetime(2011, 2, 2, 3, 35, 6), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '60cd2533-0d62-4f85-beb7-e022c674803d', 'job_description': 'Open-architected well-modulated support', 'start_date': datetime.datetime(2010, 6, 30, 7, 39, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 22, 23, 44, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 14, 14, 1, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c1901872-4865-4b3c-8459-c761d169c8b3', 'end_date': datetime.datetime(2011, 2, 20, 23, 49, 40), 'start_time': datetime.datetime(2012, 5, 9, 8, 16, 57), 'rate': 5, 'updated_at': datetime.datetime(2019, 6, 7, 10, 27, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de859c21-0316-44e6-8165-0454620f04b6', 'job_description': 'Secured zero defect approach', 'start_date': datetime.datetime(2010, 12, 2, 0, 5, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 3, 21, 4, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 12, 22, 43, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8aa6f1cb-8cdd-40e5-8295-07283d2b8a8a', 'end_date': datetime.datetime(2010, 5, 28, 2, 23, 21), 'start_time': datetime.datetime(2011, 8, 11, 9, 3, 43), 'rate': 1, 'updated_at': datetime.datetime(2010, 2, 16, 4, 24, 45), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a9c61252-93c1-4b90-9b36-1b4d05891472', 'job_description': 'Synchronised bifurcated throughput', 'start_date': datetime.datetime(2019, 3, 9, 3, 15, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 13, 23, 50, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 23, 18, 47, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd993afa6-3496-4e23-8ceb-42a107b1237a', 'end_date': datetime.datetime(2014, 2, 11, 4, 8, 17), 'start_time': datetime.datetime(2017, 9, 18, 0, 26, 50), 'rate': 4, 'updated_at': datetime.datetime(2011, 1, 12, 0, 31, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Andorra', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f511cfcc-bf1d-4ab1-b729-7ee8c1249ff4', 'job_description': 'Ergonomic explicit interface', 'start_date': datetime.datetime(2013, 12, 25, 19, 59, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 17, 13, 29, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 9, 20, 28, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '600aa46f-4c13-4251-90ba-e7bb0d5d7cf9', 'end_date': datetime.datetime(2015, 3, 16, 16, 32, 50), 'start_time': datetime.datetime(2018, 3, 14, 2, 46, 39), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 11, 4, 59, 31), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2124e8f2-cdc3-426f-953c-feee610c9a96', 'job_description': 'Right-sized bi-directional customer loyalty', 'start_date': datetime.datetime(2013, 8, 12, 16, 28, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 15, 17, 8, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 21, 8, 22, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eba80c0a-c1d8-4185-b7af-1549d5d47903', 'end_date': datetime.datetime(2019, 10, 24, 2, 32, 46), 'start_time': datetime.datetime(2015, 3, 23, 2, 39, 53), 'rate': 5, 'updated_at': datetime.datetime(2010, 9, 21, 22, 58, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4ea0b72e-1be6-450f-afbe-5142475e4add', 'job_description': 'Ergonomic non-volatile flexibility', 'start_date': datetime.datetime(2012, 10, 13, 8, 17, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 6, 15, 3, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 5, 14, 12, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '93d63937-01bf-4d0f-a1e5-decc458b3d52', 'end_date': datetime.datetime(2016, 7, 26, 6, 28, 59), 'start_time': datetime.datetime(2011, 12, 17, 1, 3, 11), 'rate': 2, 'updated_at': datetime.datetime(2012, 4, 10, 10, 58, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '864d570a-fa72-4b9f-817e-7a7b1432dfb6', 'job_description': 'Up-sized zero tolerance Graphic Interface', 'start_date': datetime.datetime(2017, 4, 27, 9, 11, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 26, 16, 3, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 18, 10, 3, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a37f40dd-8a68-44d6-8815-6c17fe35d564', 'end_date': datetime.datetime(2015, 6, 29, 16, 53, 56), 'start_time': datetime.datetime(2010, 10, 18, 17, 29, 44), 'rate': 5, 'updated_at': datetime.datetime(2010, 1, 29, 7, 43, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6df49995-7b30-45b4-b184-3da46842b536', 'job_description': 'Configurable 3rd generation policy', 'start_date': datetime.datetime(2012, 9, 5, 2, 50, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 6, 7, 32, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 8, 9, 51, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5b82e16e-a9de-4803-9e7e-3edc0cec08cd', 'end_date': datetime.datetime(2015, 10, 25, 4, 46, 31), 'start_time': datetime.datetime(2019, 3, 7, 5, 3, 50), 'rate': 2, 'updated_at': datetime.datetime(2019, 3, 3, 7, 25, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Antigua and Barbuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '56cacd63-8ab3-4c51-a858-3575d44f4ffa', 'job_description': 'Sharable methodical info-mediaries', 'start_date': datetime.datetime(2014, 11, 24, 9, 59, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 3, 19, 27, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 26, 18, 2, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e754fc1d-53df-4deb-a681-3f05788be596', 'end_date': datetime.datetime(2017, 11, 30, 16, 14, 56), 'start_time': datetime.datetime(2019, 11, 26, 19, 45, 44), 'rate': 1, 'updated_at': datetime.datetime(2010, 5, 10, 8, 52, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3f08889d-de57-4e6c-beda-90c4430c9d4b', 'job_description': 'Open-architected assymetric moratorium', 'start_date': datetime.datetime(2014, 4, 16, 21, 1, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 31, 11, 3, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 15, 15, 4, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4f18ee3f-338a-4d1c-b124-39487ec11692', 'end_date': datetime.datetime(2015, 5, 10, 9, 33, 48), 'start_time': datetime.datetime(2014, 11, 20, 20, 54, 37), 'rate': 4, 'updated_at': datetime.datetime(2018, 3, 25, 8, 36, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8fd51d73-d347-4bc0-96e5-e7fee4e61bd2', 'job_description': 'Right-sized composite benchmark', 'start_date': datetime.datetime(2011, 10, 20, 21, 2, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 26, 1, 40, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 28, 7, 33, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c2f360c-ed42-4a8f-a4f9-1fea30f82d2a', 'end_date': datetime.datetime(2019, 2, 15, 1, 28, 15), 'start_time': datetime.datetime(2010, 6, 17, 15, 6, 25), 'rate': 3, 'updated_at': datetime.datetime(2018, 4, 28, 20, 18, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'faeaa869-a5cd-4e9c-a8e2-c04fe26c4bed', 'job_description': 'Cross-platform actuating attitude', 'start_date': datetime.datetime(2018, 1, 30, 8, 42, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 11, 19, 27, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 28, 10, 10, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57ad5bb4-b5ca-4316-9bba-e1eff050e224', 'end_date': datetime.datetime(2016, 12, 14, 18, 17, 31), 'start_time': datetime.datetime(2017, 6, 22, 9, 31, 7), 'rate': 5, 'updated_at': datetime.datetime(2011, 9, 17, 21, 20, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '101e55ef-2221-4d7c-8ce9-d7077d60a98d', 'job_description': 'Horizontal hybrid architecture', 'start_date': datetime.datetime(2014, 5, 28, 17, 26, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 18, 23, 43, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 31, 23, 34, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '59d56940-e764-4b97-bcb2-5de12279a358', 'end_date': datetime.datetime(2017, 2, 24, 13, 50, 26), 'start_time': datetime.datetime(2011, 12, 31, 5, 28, 21), 'rate': 2, 'updated_at': datetime.datetime(2014, 8, 7, 14, 5, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1e910080-cc9b-4c2c-a38b-dac6d79307c7', 'job_description': 'Optimized needs-based matrices', 'start_date': datetime.datetime(2019, 10, 10, 13, 47, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 9, 10, 1, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 26, 20, 39, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6f00f039-cabb-4806-af4a-db3ce978926f', 'end_date': datetime.datetime(2015, 7, 3, 3, 14, 38), 'start_time': datetime.datetime(2010, 4, 15, 18, 37, 5), 'rate': 5, 'updated_at': datetime.datetime(2016, 10, 21, 11, 22, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '706c0b0e-59ca-4966-8c56-4fae24971fed', 'job_description': 'Decentralized logistical interface', 'start_date': datetime.datetime(2010, 10, 11, 17, 15, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 3, 0, 39, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 5, 10, 31, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ff97d5c8-f312-4bf3-ac58-90750d60ed06', 'end_date': datetime.datetime(2016, 11, 16, 21, 57, 41), 'start_time': datetime.datetime(2012, 11, 27, 2, 34, 30), 'rate': 2, 'updated_at': datetime.datetime(2015, 11, 27, 14, 5, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Afghanistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e2dd1faa-d347-436d-bb64-d3478a1ff0bc', 'job_description': 'Automated optimal encoding', 'start_date': datetime.datetime(2010, 10, 31, 13, 48, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 28, 18, 32, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 28, 19, 57, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f2343906-0759-41f1-b152-ff4a89c5d986', 'end_date': datetime.datetime(2011, 4, 11, 1, 51, 19), 'start_time': datetime.datetime(2011, 9, 4, 9, 10, 48), 'rate': 1, 'updated_at': datetime.datetime(2012, 10, 2, 21, 34, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a4c046e9-d0ad-49d5-b493-2da316efbccb', 'job_description': 'Monitored context-sensitive success', 'start_date': datetime.datetime(2011, 11, 7, 8, 47, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 9, 6, 45, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 10, 22, 18, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3d58cf15-2fc2-4ac6-b4e7-5ed620c6fc3d', 'end_date': datetime.datetime(2016, 1, 19, 15, 14, 43), 'start_time': datetime.datetime(2016, 10, 30, 19, 11, 47), 'rate': 2, 'updated_at': datetime.datetime(2010, 12, 17, 2, 7, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Liberia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0e7d1e65-0b10-42bc-ab80-5bae54e59c52', 'job_description': 'Balanced assymetric productivity', 'start_date': datetime.datetime(2017, 3, 28, 19, 12, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 11, 22, 56, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 25, 12, 24, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1664d7e9-aa7a-498a-ad22-de8e602aba4a', 'end_date': datetime.datetime(2017, 10, 30, 3, 22, 3), 'start_time': datetime.datetime(2019, 7, 2, 0, 50, 38), 'rate': 4, 'updated_at': datetime.datetime(2019, 11, 14, 16, 22, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3ce2d55a-f5b8-48b6-8ebc-d97c4f095b6a', 'job_description': 'Networked optimal middleware', 'start_date': datetime.datetime(2011, 3, 14, 9, 55, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 22, 4, 44, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 28, 1, 0, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b87c8b7-4f35-4c2a-9fb5-5e25f038fa11', 'end_date': datetime.datetime(2014, 9, 26, 14, 28, 8), 'start_time': datetime.datetime(2011, 1, 1, 23, 46, 54), 'rate': 3, 'updated_at': datetime.datetime(2011, 10, 17, 6, 28, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '96556b05-094d-4e9a-a609-e9e57cffe696', 'job_description': 'Switchable solution-oriented methodology', 'start_date': datetime.datetime(2018, 11, 30, 20, 41, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 27, 17, 40, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 14, 16, 49, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '55f7aaa6-57c9-4597-b94f-22a11aab7a65', 'end_date': datetime.datetime(2015, 6, 6, 12, 27, 37), 'start_time': datetime.datetime(2015, 7, 30, 14, 46, 16), 'rate': 5, 'updated_at': datetime.datetime(2015, 3, 29, 23, 7, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5353b10-0905-480f-a33e-e68523c5c465', 'job_description': 'Universal fresh-thinking conglomeration', 'start_date': datetime.datetime(2017, 5, 25, 16, 13, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 28, 22, 1, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 18, 12, 26, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '23ac951b-2856-4a45-96d6-65dbb4ed24fb', 'end_date': datetime.datetime(2011, 1, 12, 16, 36, 26), 'start_time': datetime.datetime(2014, 12, 3, 2, 9, 58), 'rate': 5, 'updated_at': datetime.datetime(2018, 9, 21, 17, 50, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4bc8231e-5f0a-4a24-b38c-46d7ebeaa490', 'job_description': 'Enterprise-wide assymetric protocol', 'start_date': datetime.datetime(2018, 4, 9, 18, 22, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 15, 20, 51, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 31, 20, 53, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f3493f80-4969-4298-9cdb-10fbcff40963', 'end_date': datetime.datetime(2014, 10, 14, 13, 52, 14), 'start_time': datetime.datetime(2015, 2, 26, 18, 22, 51), 'rate': 3, 'updated_at': datetime.datetime(2010, 10, 31, 20, 17, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '69b2d4a8-153e-49e1-8255-291f0a6418f0', 'job_description': 'Synergistic explicit matrix', 'start_date': datetime.datetime(2016, 10, 1, 13, 8, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 25, 21, 59, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 7, 12, 4, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '176519e2-de4e-4dab-bd86-59e1784d2071', 'end_date': datetime.datetime(2012, 4, 5, 13, 56, 5), 'start_time': datetime.datetime(2015, 10, 21, 5, 52, 5), 'rate': 4, 'updated_at': datetime.datetime(2015, 5, 15, 4, 14, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Mozambique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b36ad3c5-16ae-44da-b62b-71e29c1854a4', 'job_description': 'Digitized local forecast', 'start_date': datetime.datetime(2019, 5, 14, 8, 4, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 12, 12, 59, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 19, 17, 28, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fffc5657-2d12-45d2-a234-11b6a0ed620f', 'end_date': datetime.datetime(2014, 7, 29, 10, 13, 4), 'start_time': datetime.datetime(2013, 8, 10, 3, 30, 26), 'rate': 1, 'updated_at': datetime.datetime(2014, 5, 16, 2, 40, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '245c809f-9f34-4fdc-b44f-86d4b5edf005', 'job_description': 'Implemented empowering intranet', 'start_date': datetime.datetime(2016, 2, 5, 13, 39, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 20, 4, 52, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 15, 20, 41, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e68d06ad-7cc3-4620-bf8b-6785adb6b77e', 'end_date': datetime.datetime(2016, 4, 15, 10, 56), 'start_time': datetime.datetime(2013, 12, 6, 1, 22, 33), 'rate': 1, 'updated_at': datetime.datetime(2018, 5, 24, 12, 32, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c817a465-8046-4c2e-abe6-dd26c81a48d0', 'job_description': 'Object-based systemic initiative', 'start_date': datetime.datetime(2017, 4, 18, 15, 24, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 14, 10, 55, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 14, 20, 16, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6931b8a9-0b07-4be9-ab28-e2560d5e480f', 'end_date': datetime.datetime(2014, 2, 14, 23, 3, 2), 'start_time': datetime.datetime(2018, 10, 28, 22, 28, 33), 'rate': 2, 'updated_at': datetime.datetime(2019, 12, 1, 0, 56, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '843463e5-9a2f-4eca-be67-cdd80aace956', 'job_description': 'Sharable grid-enabled methodology', 'start_date': datetime.datetime(2010, 11, 22, 15, 24, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 19, 13, 23, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 24, 12, 19, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '584a3805-bac7-4671-8f1b-04f159d77876', 'end_date': datetime.datetime(2018, 6, 17, 7, 37, 53), 'start_time': datetime.datetime(2017, 2, 8, 22, 10, 42), 'rate': 2, 'updated_at': datetime.datetime(2019, 11, 4, 15, 3, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '405d5033-6fd2-4216-8b36-8d322bdb5909', 'job_description': 'Distributed system-worthy challenge', 'start_date': datetime.datetime(2011, 4, 20, 21, 29, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 25, 5, 41, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 27, 3, 7, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '67a428f3-d624-42fd-8243-0e1e171201cc', 'end_date': datetime.datetime(2010, 1, 20, 23, 42, 2), 'start_time': datetime.datetime(2018, 2, 3, 14, 21, 12), 'rate': 3, 'updated_at': datetime.datetime(2019, 4, 16, 11, 42, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0852a037-d400-4b1d-b146-29571946078b', 'job_description': 'Advanced reciprocal productivity', 'start_date': datetime.datetime(2012, 11, 29, 12, 51, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 24, 0, 53, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 15, 8, 42, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eac66b67-bab4-41c5-acae-537e55754dd3', 'end_date': datetime.datetime(2012, 7, 26, 12, 13, 20), 'start_time': datetime.datetime(2019, 7, 19, 8, 50, 30), 'rate': 4, 'updated_at': datetime.datetime(2017, 5, 29, 4, 22, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '79a6ca38-1b1b-4c14-a3a7-1daac067563f', 'job_description': 'Down-sized zero administration implementation', 'start_date': datetime.datetime(2018, 2, 1, 6, 48, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 22, 15, 37, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 9, 18, 31, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb4e393b-da6e-4293-8b5b-eaa507de4a5d', 'end_date': datetime.datetime(2016, 5, 16, 4, 28), 'start_time': datetime.datetime(2017, 6, 2, 23, 49, 59), 'rate': 4, 'updated_at': datetime.datetime(2012, 11, 8, 4, 46, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c7c1a2b9-49af-40f5-9fa7-5e215251db47', 'job_description': 'Cross-platform stable conglomeration', 'start_date': datetime.datetime(2012, 12, 1, 5, 41, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 31, 7, 28, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 24, 14, 36, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '66cbc39d-c72a-447a-8d66-b828bec99083', 'end_date': datetime.datetime(2012, 6, 5, 19, 16, 13), 'start_time': datetime.datetime(2013, 8, 15, 19, 20, 47), 'rate': 2, 'updated_at': datetime.datetime(2018, 7, 15, 21, 40, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c8dcace-81d7-43c1-9eff-c2c8021f4201', 'job_description': 'Cross-group zero tolerance throughput', 'start_date': datetime.datetime(2010, 9, 29, 21, 26, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 6, 5, 36, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 14, 1, 54, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1152230a-e4e6-4317-8437-454d497a61aa', 'end_date': datetime.datetime(2014, 10, 14, 19, 27, 9), 'start_time': datetime.datetime(2019, 9, 20, 11, 2, 10), 'rate': 2, 'updated_at': datetime.datetime(2011, 9, 21, 23, 2, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '93f5f2f9-90d6-4d09-a766-23e72a018ce9', 'job_description': 'Sharable modular open architecture', 'start_date': datetime.datetime(2015, 2, 28, 21, 59, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 2, 13, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 22, 0, 41, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a1a63b6c-25bd-4025-a51f-1c166ab5e0b2', 'end_date': datetime.datetime(2014, 3, 23, 1, 28, 19), 'start_time': datetime.datetime(2014, 7, 8, 13, 13, 6), 'rate': 2, 'updated_at': datetime.datetime(2018, 1, 28, 11, 57, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Bhutan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '48e75717-fc8c-4183-a010-26d9712558c6', 'job_description': 'Robust client-server emulation', 'start_date': datetime.datetime(2012, 9, 1, 21, 35, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 2, 1, 41, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 20, 8, 44, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b4fa0c29-ae00-4df6-92db-c0a03abb470e', 'end_date': datetime.datetime(2019, 6, 11, 5, 55, 48), 'start_time': datetime.datetime(2016, 9, 4, 7, 52, 15), 'rate': 1, 'updated_at': datetime.datetime(2014, 3, 25, 22, 4, 28), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd2f0f19a-ce8a-471f-870b-7b37034e2477', 'job_description': 'Universal solution-oriented protocol', 'start_date': datetime.datetime(2017, 9, 27, 21, 57, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 9, 19, 27, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 3, 2, 50, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bec44225-fdc1-403c-8f57-dfac088d49cb', 'end_date': datetime.datetime(2016, 3, 6, 19, 15, 58), 'start_time': datetime.datetime(2013, 1, 5, 1, 28, 4), 'rate': 5, 'updated_at': datetime.datetime(2014, 12, 25, 12, 3, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '30b56174-5fb7-4193-9d86-049a7dba0f50', 'job_description': 'Realigned executive productivity', 'start_date': datetime.datetime(2010, 6, 26, 12, 40, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 5, 10, 44, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 6, 10, 50, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c5efc328-df8b-42fd-b92a-678f13d1fe58', 'end_date': datetime.datetime(2018, 4, 15, 22, 38, 9), 'start_time': datetime.datetime(2019, 6, 9, 6, 32, 27), 'rate': 3, 'updated_at': datetime.datetime(2015, 8, 6, 14, 12, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c23a650-512f-4a96-be85-c3eab1541b3b', 'job_description': 'Robust non-volatile implementation', 'start_date': datetime.datetime(2016, 9, 25, 19, 2, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 15, 14, 55, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 27, 5, 55, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '08d19ca3-fb92-43de-9160-40ec76c192d7', 'end_date': datetime.datetime(2018, 9, 1, 7, 13, 53), 'start_time': datetime.datetime(2016, 7, 7, 20, 32, 23), 'rate': 2, 'updated_at': datetime.datetime(2019, 8, 5, 9, 29, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '55d7f1ba-ff1a-49b6-bc58-f0497de11939', 'job_description': 'Team-oriented needs-based Graphic Interface', 'start_date': datetime.datetime(2015, 1, 31, 8, 44, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 8, 5, 22, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 3, 12, 1, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '10d4bf52-a594-4b2e-9daf-746c024a28ff', 'end_date': datetime.datetime(2013, 11, 30, 5, 49, 3), 'start_time': datetime.datetime(2012, 11, 7, 21, 6, 3), 'rate': 5, 'updated_at': datetime.datetime(2014, 12, 22, 7, 45, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3c34b05e-6241-4d85-a50e-e5a2dc9f1e12', 'job_description': 'Cross-platform asynchronous open system', 'start_date': datetime.datetime(2010, 9, 11, 22, 27, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 6, 8, 46, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 2, 1, 12, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57a767f7-8080-431f-9f8a-1ae79bb23606', 'end_date': datetime.datetime(2019, 3, 14, 0, 46, 20), 'start_time': datetime.datetime(2018, 3, 2, 17, 35, 23), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 17, 0, 58, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'af9c3c4a-24ca-4f80-971c-1959a6acd1bc', 'job_description': 'Right-sized multi-state customer loyalty', 'start_date': datetime.datetime(2013, 8, 24, 18, 45, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 16, 4, 42, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 10, 8, 53, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '41280adf-0ddd-4d27-b035-3190a1e1f805', 'end_date': datetime.datetime(2015, 9, 7, 8, 1, 22), 'start_time': datetime.datetime(2015, 8, 15, 13, 32, 29), 'rate': 5, 'updated_at': datetime.datetime(2017, 9, 18, 14, 46, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9899228d-35ab-4f4a-a023-89b621001769', 'job_description': 'Business-focused bottom-line standardization', 'start_date': datetime.datetime(2014, 3, 20, 23, 29, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 29, 2, 59, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 25, 19, 28, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e28c844-3d2b-4589-b5e0-056b701ec090', 'end_date': datetime.datetime(2017, 9, 5, 7, 20, 25), 'start_time': datetime.datetime(2018, 10, 12, 22, 36), 'rate': 4, 'updated_at': datetime.datetime(2018, 9, 29, 13, 26, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Jersey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0abbcf25-6592-4c16-a7d9-81f6f62931a4', 'job_description': 'Monitored zero defect superstructure', 'start_date': datetime.datetime(2019, 5, 7, 19, 38, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 7, 3, 51, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 7, 15, 29, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4af6cd35-c600-4413-8edd-1730e538417b', 'end_date': datetime.datetime(2018, 1, 21, 19, 49, 53), 'start_time': datetime.datetime(2010, 10, 10, 16, 9, 48), 'rate': 3, 'updated_at': datetime.datetime(2019, 8, 28, 18, 12, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Netherlands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6216a892-feba-4309-82dd-e34e392bfd79', 'job_description': 'Focused optimal success', 'start_date': datetime.datetime(2010, 2, 24, 9, 36, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 4, 5, 33, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 27, 18, 12, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7f7c4db4-6e60-4aa1-a1e3-2ec523bfeb93', 'end_date': datetime.datetime(2018, 2, 22, 8, 20, 22), 'start_time': datetime.datetime(2013, 3, 28, 21, 14, 52), 'rate': 2, 'updated_at': datetime.datetime(2014, 8, 16, 22, 28, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2a8e567f-c8c1-43b2-b6a8-777537bbfa3a', 'job_description': 'Cross-group mission-critical standardization', 'start_date': datetime.datetime(2010, 3, 20, 0, 35, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 11, 22, 51, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 29, 10, 28, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '09f4d292-0cf2-402e-b497-be876e9624fe', 'end_date': datetime.datetime(2016, 4, 15, 9, 21, 6), 'start_time': datetime.datetime(2011, 7, 22, 6, 49, 9), 'rate': 2, 'updated_at': datetime.datetime(2010, 7, 1, 16, 11, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '93bf85f6-5fc9-4ff6-a385-d2c9c1285a14', 'job_description': 'Re-contextualized methodical collaboration', 'start_date': datetime.datetime(2018, 6, 20, 13, 42, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 4, 16, 21, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 12, 2, 44, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b7089081-d71f-44d9-a0cc-4d0fe5e27924', 'end_date': datetime.datetime(2015, 5, 22, 8, 5, 28), 'start_time': datetime.datetime(2012, 3, 1, 22, 1, 24), 'rate': 2, 'updated_at': datetime.datetime(2016, 7, 24, 20, 35, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd69932a8-9d71-4561-bf6e-ffc88ffb1b90', 'job_description': 'Advanced tangible benchmark', 'start_date': datetime.datetime(2011, 9, 23, 20, 13, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 11, 17, 18, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 11, 14, 11, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '301857b8-edd7-4a70-9b8e-47c6e1c3bd23', 'end_date': datetime.datetime(2010, 5, 1, 3, 11, 21), 'start_time': datetime.datetime(2014, 1, 28, 11, 4, 8), 'rate': 4, 'updated_at': datetime.datetime(2014, 1, 9, 2, 52, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Argentina', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'af17da36-e801-484c-bbed-19d858c0d2e7', 'job_description': 'Balanced client-driven workforce', 'start_date': datetime.datetime(2013, 5, 5, 5, 9, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 14, 0, 16, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 31, 1, 19, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '356138ee-b8ce-4e4a-b88b-40b6bf1ae1cc', 'end_date': datetime.datetime(2018, 1, 12, 22, 27, 56), 'start_time': datetime.datetime(2012, 4, 26, 21, 47, 56), 'rate': 4, 'updated_at': datetime.datetime(2015, 10, 11, 0, 26, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81749f20-a720-41bb-8ad9-199fb7d9370c', 'job_description': 'Pre-emptive methodical hierarchy', 'start_date': datetime.datetime(2010, 10, 3, 13, 20, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 25, 3, 23, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 30, 22, 11, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f9a925f-6726-487d-96ef-8263d55921e4', 'end_date': datetime.datetime(2012, 8, 6, 8, 19, 42), 'start_time': datetime.datetime(2017, 7, 13, 6, 22, 11), 'rate': 3, 'updated_at': datetime.datetime(2011, 3, 23, 16, 53, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b164c6c6-29dc-42ff-a03c-14835c4c8748', 'job_description': 'Virtual reciprocal firmware', 'start_date': datetime.datetime(2019, 1, 18, 15, 23, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 3, 4, 59, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 22, 10, 17, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '50ac5f49-4a44-4840-9c20-34722ace70c4', 'end_date': datetime.datetime(2014, 7, 22, 8, 56, 30), 'start_time': datetime.datetime(2010, 2, 7, 3, 0, 12), 'rate': 2, 'updated_at': datetime.datetime(2014, 9, 22, 1, 20, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f20eeac0-c994-4e7c-94b3-3095e04b125e', 'job_description': 'Future-proofed 6th generation success', 'start_date': datetime.datetime(2010, 3, 14, 21, 35, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 20, 7, 28, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 22, 0, 41, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '568808a0-4a88-4390-8e65-92b7eb64ae63', 'end_date': datetime.datetime(2015, 5, 20, 14, 46, 5), 'start_time': datetime.datetime(2018, 12, 28, 21, 34, 46), 'rate': 3, 'updated_at': datetime.datetime(2013, 9, 15, 18, 55, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7e4e7e0a-a70b-423f-9ef9-239b467a178b', 'job_description': 'Horizontal solution-oriented installation', 'start_date': datetime.datetime(2012, 11, 17, 2, 39, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 26, 21, 35, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 13, 15, 56, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5f5e9b4-f52a-42c7-a46a-07ce123deeff', 'end_date': datetime.datetime(2018, 6, 18, 1, 1, 1), 'start_time': datetime.datetime(2010, 10, 22, 20, 19, 47), 'rate': 3, 'updated_at': datetime.datetime(2018, 9, 3, 4, 9, 43), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cdcb9bca-a9da-452a-be83-44434754d1ab', 'job_description': 'Fully-configurable cohesive definition', 'start_date': datetime.datetime(2010, 9, 2, 5, 7, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 12, 13, 31, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 15, 23, 55, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '82e562c8-dafb-404a-82e2-8aa139b29214', 'end_date': datetime.datetime(2018, 3, 6, 20, 48, 51), 'start_time': datetime.datetime(2019, 11, 21, 1, 24, 27), 'rate': 4, 'updated_at': datetime.datetime(2011, 11, 10, 3, 52, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fe16db33-0ea8-4f39-a123-f1eb93523501', 'job_description': 'Business-focused real-time local area network', 'start_date': datetime.datetime(2019, 4, 21, 18, 2, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 13, 21, 15, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 2, 4, 13, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '053d8880-d7a8-4dcc-91da-552bfe3521e3', 'end_date': datetime.datetime(2010, 9, 13, 11, 2, 47), 'start_time': datetime.datetime(2018, 11, 11, 17, 41, 59), 'rate': 2, 'updated_at': datetime.datetime(2016, 10, 15, 21, 59, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '50d40208-d75b-4ad0-81aa-fb153665e607', 'job_description': 'Vision-oriented transitional application', 'start_date': datetime.datetime(2011, 6, 9, 13, 38, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 25, 0, 45, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 7, 3, 24, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '71f0802b-6060-4804-b55a-1397918e5ebd', 'end_date': datetime.datetime(2017, 11, 23, 19, 52, 52), 'start_time': datetime.datetime(2019, 3, 7, 1, 46, 3), 'rate': 5, 'updated_at': datetime.datetime(2010, 12, 24, 10, 20, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f4379c7e-feee-4672-8d00-b3f9d108125e', 'job_description': 'Fundamental grid-enabled internet solution', 'start_date': datetime.datetime(2017, 10, 10, 6, 40, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 15, 16, 12, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 4, 21, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb1aa3ab-7ad0-4d6f-a37b-1c7729348145', 'end_date': datetime.datetime(2013, 7, 1, 8, 54, 4), 'start_time': datetime.datetime(2011, 12, 21, 6, 27, 37), 'rate': 3, 'updated_at': datetime.datetime(2012, 12, 27, 3, 20, 29), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2f4e8d60-5ca1-4f07-a9bf-8e12ffe90953', 'job_description': 'Down-sized 3rd generation artificial intelligence', 'start_date': datetime.datetime(2017, 8, 11, 13, 30, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 24, 6, 39, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 29, 0, 36, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0cfe36ad-d902-40bf-acde-08968d14c586', 'end_date': datetime.datetime(2019, 1, 22, 10, 50, 38), 'start_time': datetime.datetime(2018, 10, 20, 2, 3, 35), 'rate': 1, 'updated_at': datetime.datetime(2017, 4, 3, 7, 23, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Cyprus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c543a7d2-cf1b-494d-8846-b05f63483300', 'job_description': 'Multi-layered clear-thinking array', 'start_date': datetime.datetime(2016, 2, 20, 23, 45, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 12, 8, 32, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 14, 9, 52, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'de8ad7e6-a23d-43d4-9600-6451020a368b', 'end_date': datetime.datetime(2013, 1, 22, 12, 5, 30), 'start_time': datetime.datetime(2018, 3, 2, 1, 32, 19), 'rate': 5, 'updated_at': datetime.datetime(2010, 10, 3, 14, 24, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4633a134-774f-4159-87e0-cbd94ea1efea', 'job_description': 'Virtual tangible alliance', 'start_date': datetime.datetime(2018, 10, 28, 19, 33, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 15, 22, 9, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 29, 17, 57, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c673a15a-2893-4853-bac0-2f308e5a8448', 'end_date': datetime.datetime(2010, 5, 3, 23, 37, 6), 'start_time': datetime.datetime(2016, 8, 9, 16, 32, 22), 'rate': 4, 'updated_at': datetime.datetime(2018, 5, 20, 12, 53, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e254de4c-0372-47e3-828f-8dd5ce7ca40b', 'job_description': 'Ergonomic zero defect function', 'start_date': datetime.datetime(2013, 6, 17, 2, 43, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 23, 0, 48, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 18, 9, 4, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0bdc18fd-d10d-46b8-9648-771476df7235', 'end_date': datetime.datetime(2014, 11, 16, 15, 54, 34), 'start_time': datetime.datetime(2013, 6, 13, 16, 47, 15), 'rate': 4, 'updated_at': datetime.datetime(2016, 4, 1, 1, 4, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '107f2737-ce85-45c8-84de-fd5a22e69583', 'job_description': 'Digitized multi-tasking functionalities', 'start_date': datetime.datetime(2011, 8, 28, 14, 57, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 9, 14, 54, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 28, 2, 40, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc34fa0c-7c58-46f8-99b8-91fd4088b71b', 'end_date': datetime.datetime(2019, 2, 21, 22, 7, 48), 'start_time': datetime.datetime(2013, 5, 14, 6, 22, 26), 'rate': 4, 'updated_at': datetime.datetime(2011, 12, 6, 17, 29, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '175913fd-d7e5-46c6-b972-e19ec812cdd4', 'job_description': 'Ameliorated executive capacity', 'start_date': datetime.datetime(2011, 9, 17, 17, 26, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 30, 11, 52, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 2, 21, 59, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aca5fd5c-735d-403d-b9ce-73efbf731722', 'end_date': datetime.datetime(2016, 9, 20, 22, 11, 19), 'start_time': datetime.datetime(2017, 4, 20, 3, 31, 33), 'rate': 3, 'updated_at': datetime.datetime(2010, 2, 26, 18, 43, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dec1bb8f-f608-4b0f-85d4-1beff492418b', 'job_description': 'Secured interactive monitoring', 'start_date': datetime.datetime(2016, 10, 26, 7, 6, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 21, 1, 46, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 1, 20, 37, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fe0e9269-d17c-4caf-a54c-8e08f598541a', 'end_date': datetime.datetime(2018, 3, 11, 2, 43, 43), 'start_time': datetime.datetime(2017, 8, 1, 21, 45, 33), 'rate': 5, 'updated_at': datetime.datetime(2012, 6, 5, 21, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bdf49ea9-f16b-4e1b-822f-2b00de57ae3b', 'job_description': 'Universal 5th generation policy', 'start_date': datetime.datetime(2017, 10, 13, 0, 2, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 14, 7, 31, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 28, 8, 10, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd8cd3fef-cbf4-4a99-972f-e61a4c9b5f2c', 'end_date': datetime.datetime(2012, 12, 11, 19, 14, 58), 'start_time': datetime.datetime(2011, 2, 10, 5, 41, 17), 'rate': 1, 'updated_at': datetime.datetime(2018, 8, 1, 3, 28, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '99eb4f08-3623-4cfc-a7af-14e673870d6f', 'job_description': 'Synergized bottom-line monitoring', 'start_date': datetime.datetime(2012, 8, 5, 2, 16, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 6, 6, 32, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 30, 23, 19, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fea3a2a6-d600-4695-be98-7194261249d6', 'end_date': datetime.datetime(2017, 9, 26, 17, 29, 48), 'start_time': datetime.datetime(2016, 6, 7, 11, 34, 12), 'rate': 2, 'updated_at': datetime.datetime(2017, 10, 2, 13, 4, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de7db15e-4c3d-4264-b931-c60324a3b02d', 'job_description': 'Innovative system-worthy challenge', 'start_date': datetime.datetime(2014, 9, 29, 0, 27, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 2, 19, 23, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 6, 12, 4, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8325c2dc-fba5-4925-a4ad-5a797e048576', 'end_date': datetime.datetime(2011, 10, 10, 19, 51, 14), 'start_time': datetime.datetime(2013, 12, 25, 6, 29, 56), 'rate': 1, 'updated_at': datetime.datetime(2017, 1, 15, 1, 58, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a5fd009d-48e9-4197-ac12-e107275a8e23', 'job_description': 'Proactive next generation array', 'start_date': datetime.datetime(2014, 7, 24, 3, 29, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 18, 4, 55, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 2, 13, 8, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b92fba82-a915-45ee-aca1-cc7ef704b136', 'end_date': datetime.datetime(2011, 2, 25, 3, 24, 54), 'start_time': datetime.datetime(2013, 10, 27, 10, 28, 24), 'rate': 2, 'updated_at': datetime.datetime(2014, 6, 13, 14, 58, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7d3d670d-c62a-47cd-ad54-59fe7eb8d4c0', 'job_description': 'Reverse-engineered directional Graphic Interface', 'start_date': datetime.datetime(2017, 6, 28, 1, 28, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 28, 1, 25, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 19, 2, 48, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc38e82a-f69f-4654-9136-2abae2657451', 'end_date': datetime.datetime(2016, 8, 9, 5, 26, 29), 'start_time': datetime.datetime(2017, 3, 27, 7, 11, 44), 'rate': 5, 'updated_at': datetime.datetime(2011, 10, 29, 14, 45, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1c167f04-0b25-4153-987f-97c62609dbdf', 'job_description': 'Triple-buffered impactful leverage', 'start_date': datetime.datetime(2018, 6, 26, 20, 14, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 4, 13, 19, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 15, 9, 49, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bb4d857f-15cb-4aef-8f6c-d67cfda385cd', 'end_date': datetime.datetime(2010, 8, 13, 7, 31, 56), 'start_time': datetime.datetime(2016, 1, 27, 19, 52, 1), 'rate': 2, 'updated_at': datetime.datetime(2012, 4, 30, 20, 16, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a8febdd7-faa8-4bde-a8bd-d5baf5150b2c', 'job_description': 'Customizable bifurcated approach', 'start_date': datetime.datetime(2016, 12, 23, 10, 54, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 8, 21, 31, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 4, 9, 19, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '333106d1-958c-41bf-9831-bf5b93ca6d3d', 'end_date': datetime.datetime(2014, 9, 11, 6, 51, 53), 'start_time': datetime.datetime(2015, 2, 12, 13, 27, 44), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 11, 15, 14, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '79dedcc4-2561-45bb-b818-01a7dede3e59', 'job_description': 'Switchable bi-directional help-desk', 'start_date': datetime.datetime(2015, 7, 22, 22, 8, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 29, 10, 24, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 16, 3, 4, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44a1385e-54fc-4bec-8b0e-f67d4073ccca', 'end_date': datetime.datetime(2010, 6, 21, 20, 6, 35), 'start_time': datetime.datetime(2014, 10, 7, 17, 19, 35), 'rate': 2, 'updated_at': datetime.datetime(2014, 11, 2, 16, 12, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '755d102e-ba7d-4cf7-a984-0e0f0ecef252', 'job_description': 'Face to face global firmware', 'start_date': datetime.datetime(2014, 5, 3, 1, 23, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 18, 11, 56, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 27, 22, 12, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea7544a2-d738-4d34-8dea-21419151e1ab', 'end_date': datetime.datetime(2019, 5, 3, 19, 18, 37), 'start_time': datetime.datetime(2016, 9, 22, 21, 22, 48), 'rate': 4, 'updated_at': datetime.datetime(2012, 11, 8, 9, 18, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3c52f962-3793-4b5d-978c-34d3ab2524e7', 'job_description': 'Open-architected value-added focus group', 'start_date': datetime.datetime(2013, 6, 13, 20, 48, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 25, 11, 43, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 2, 21, 54, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c7794b38-4700-443a-b880-ab7b55cf3859', 'end_date': datetime.datetime(2013, 12, 29, 23, 38, 51), 'start_time': datetime.datetime(2018, 11, 14, 4, 38, 34), 'rate': 3, 'updated_at': datetime.datetime(2015, 1, 9, 5, 27, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '02b5961e-3dce-4e43-8df3-77224c7a5b01', 'job_description': 'Synergistic global product', 'start_date': datetime.datetime(2013, 6, 14, 21, 23, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 30, 17, 1, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 3, 23, 31, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2359e7a4-f0d8-4e46-920c-9928ec30fe84', 'end_date': datetime.datetime(2010, 2, 25, 19, 56, 57), 'start_time': datetime.datetime(2019, 2, 16, 11, 29, 14), 'rate': 4, 'updated_at': datetime.datetime(2018, 1, 16, 4, 4, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '25644015-6b4c-4f02-a771-8549e3bf7a76', 'job_description': 'Persistent 4th generation challenge', 'start_date': datetime.datetime(2011, 7, 23, 3, 14, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 25, 22, 18, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 10, 15, 25, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9943e3e3-a9e7-4aa3-b3aa-ac0779f76c71', 'end_date': datetime.datetime(2015, 1, 25, 23, 4, 42), 'start_time': datetime.datetime(2019, 3, 25, 6, 49, 49), 'rate': 3, 'updated_at': datetime.datetime(2018, 9, 23, 2, 6, 59), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6f58a6a5-2e52-4b4f-9599-2bd868b0216d', 'job_description': 'Re-contextualized well-modulated Graphical User Interface', 'start_date': datetime.datetime(2012, 1, 27, 15, 42, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 3, 13, 45, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 23, 22, 13, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '89443055-9740-4644-8ae5-eb00715bb3e4', 'end_date': datetime.datetime(2012, 6, 26, 21, 9, 58), 'start_time': datetime.datetime(2011, 12, 15, 13, 33, 13), 'rate': 3, 'updated_at': datetime.datetime(2015, 1, 10, 22, 16, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7467b646-fa2d-4115-8247-f7cc016abbc9', 'job_description': 'Multi-channelled responsive open architecture', 'start_date': datetime.datetime(2018, 5, 25, 2, 2, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 14, 4, 13, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 29, 4, 30, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '408e4db3-92da-4043-935d-aa87ed499ce9', 'end_date': datetime.datetime(2011, 10, 14, 6, 56, 50), 'start_time': datetime.datetime(2010, 2, 22, 4, 7, 18), 'rate': 1, 'updated_at': datetime.datetime(2018, 1, 23, 18, 24, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '93d6a4d2-4025-42ee-8139-9cb1001d0aa7', 'job_description': 'Upgradable solution-oriented ability', 'start_date': datetime.datetime(2015, 12, 3, 4, 59, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 20, 14, 11, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 26, 18, 11, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '62542b30-cc61-4ea8-930e-18a1bf5ebb87', 'end_date': datetime.datetime(2013, 2, 27, 18, 52, 58), 'start_time': datetime.datetime(2011, 2, 4, 11, 23, 53), 'rate': 2, 'updated_at': datetime.datetime(2013, 4, 17, 16, 49, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Grenada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f0916ac4-e4e4-4355-b9bd-ab9d18a06e10', 'job_description': 'Seamless encompassing matrices', 'start_date': datetime.datetime(2013, 4, 8, 5, 3, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 29, 21, 50, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 27, 17, 29, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9baeab2c-4170-48bf-bd02-aebc031eae1a', 'end_date': datetime.datetime(2010, 6, 20, 23, 6, 5), 'start_time': datetime.datetime(2012, 8, 21, 1, 26, 34), 'rate': 4, 'updated_at': datetime.datetime(2012, 4, 3, 19, 3, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ca4e34ff-a2c4-4dfe-8c3b-15ec40d0ba00', 'job_description': 'Focused context-sensitive attitude', 'start_date': datetime.datetime(2018, 7, 14, 19, 1, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 20, 14, 4, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 1, 12, 46, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a144ffe8-70b0-45df-bb80-d09b457a0887', 'end_date': datetime.datetime(2015, 7, 8, 0, 19, 18), 'start_time': datetime.datetime(2017, 7, 17, 21, 37, 38), 'rate': 5, 'updated_at': datetime.datetime(2012, 8, 13, 4, 7, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4a95d3db-fd3c-4e04-a7ab-0ff3dd29929b', 'job_description': 'Universal regional firmware', 'start_date': datetime.datetime(2015, 10, 6, 22, 13, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 21, 3, 38, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 10, 13, 14, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '824d9a9c-66e8-4eda-9a53-fbb2384a3a32', 'end_date': datetime.datetime(2018, 2, 5, 5, 4, 24), 'start_time': datetime.datetime(2018, 6, 18, 10, 8, 43), 'rate': 2, 'updated_at': datetime.datetime(2012, 12, 22, 19, 12, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Bangladesh', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6902a8b2-9ab0-4927-af9e-e5ede5b67868', 'job_description': 'Expanded optimizing help-desk', 'start_date': datetime.datetime(2011, 9, 14, 6, 45, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 30, 21, 34, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 6, 6, 0, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f7c6fac-68c6-46c9-8e61-9bb874911a1b', 'end_date': datetime.datetime(2017, 12, 23, 11, 28, 37), 'start_time': datetime.datetime(2014, 9, 17, 14, 35, 56), 'rate': 3, 'updated_at': datetime.datetime(2018, 3, 2, 12, 28, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd3bf1f56-cbff-42d6-a379-efaf5b7940c1', 'job_description': 'Down-sized assymetric matrices', 'start_date': datetime.datetime(2011, 9, 29, 17, 24, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 9, 1, 9, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 8, 7, 14, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8d1705f8-b6c4-4faa-adc7-8f3b4c9735e6', 'end_date': datetime.datetime(2014, 8, 4, 15, 41, 48), 'start_time': datetime.datetime(2017, 1, 31, 4, 17, 22), 'rate': 2, 'updated_at': datetime.datetime(2012, 6, 18, 20, 4, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b6feabcf-547a-4722-858f-728a6c2f6fb8', 'job_description': 'Cross-group intermediate application', 'start_date': datetime.datetime(2015, 4, 8, 13, 53, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 2, 9, 33, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 7, 10, 20, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd6464629-1258-47b9-a58d-95dfb4926029', 'end_date': datetime.datetime(2019, 9, 24, 1, 15, 27), 'start_time': datetime.datetime(2010, 3, 30, 15, 42, 56), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 29, 3, 19, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8e21294d-96d5-4928-a126-f641e788f823', 'job_description': 'Optimized optimizing software', 'start_date': datetime.datetime(2016, 7, 9, 20, 58, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 16, 5, 37, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 5, 20, 0, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '956bf41f-9fa8-48b2-9770-c3e5ba0c2a2d', 'end_date': datetime.datetime(2018, 1, 19, 20, 15, 17), 'start_time': datetime.datetime(2019, 8, 2, 5, 59, 42), 'rate': 5, 'updated_at': datetime.datetime(2013, 8, 22, 18, 55, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '185a5a40-77d6-4951-9a51-f01a2a19dee0', 'job_description': 'Synergistic needs-based solution', 'start_date': datetime.datetime(2011, 3, 13, 9, 29, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 10, 0, 32, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 30, 23, 50, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '494041f0-3ea0-40c4-a00e-ec588929cad5', 'end_date': datetime.datetime(2019, 7, 17, 9, 16, 40), 'start_time': datetime.datetime(2011, 7, 28, 15, 20, 9), 'rate': 5, 'updated_at': datetime.datetime(2014, 3, 11, 14, 34, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '38eb2341-a514-4e68-874f-6bf9ed7fd874', 'job_description': 'Front-line dedicated orchestration', 'start_date': datetime.datetime(2011, 12, 14, 10, 16, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 30, 22, 21, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 22, 16, 25, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4c9d3f1f-7929-4464-a638-4266a56a6f0d', 'end_date': datetime.datetime(2016, 11, 14, 11, 2, 30), 'start_time': datetime.datetime(2013, 6, 9, 16, 58, 6), 'rate': 2, 'updated_at': datetime.datetime(2012, 11, 25, 15, 26, 31), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '727aae40-e435-4992-ba6b-3f9b681263e6', 'job_description': 'Multi-lateral 5th generation Graphical User Interface', 'start_date': datetime.datetime(2014, 2, 16, 11, 54, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 16, 23, 48, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 30, 9, 41, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c1dd7151-ece3-481b-aed7-48077e634dad', 'end_date': datetime.datetime(2016, 5, 25, 17, 0, 58), 'start_time': datetime.datetime(2018, 3, 23, 4, 31, 27), 'rate': 3, 'updated_at': datetime.datetime(2015, 4, 16, 19, 42, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bfe3d257-bdbc-441e-9385-af26f0b0fe0f', 'job_description': 'Team-oriented impactful methodology', 'start_date': datetime.datetime(2016, 12, 16, 0, 13, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 1, 6, 59, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 19, 3, 52, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '88826308-ff29-49f4-a643-4caf087df853', 'end_date': datetime.datetime(2010, 5, 25, 3, 17, 16), 'start_time': datetime.datetime(2017, 7, 3, 14, 14, 17), 'rate': 2, 'updated_at': datetime.datetime(2012, 4, 17, 9, 25, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Anguilla', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '719cfb02-8031-4bbf-8f77-43b11ad33687', 'job_description': 'Mandatory bottom-line superstructure', 'start_date': datetime.datetime(2018, 11, 12, 3, 33, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 13, 23, 28, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 11, 11, 27, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '71dc8662-268d-4206-8035-d9c00c827864', 'end_date': datetime.datetime(2018, 2, 6, 18, 2, 47), 'start_time': datetime.datetime(2011, 12, 30, 0, 27, 26), 'rate': 5, 'updated_at': datetime.datetime(2018, 9, 29, 14, 38, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd130a906-e127-44a0-a33a-12aa13054964', 'job_description': 'Function-based dedicated projection', 'start_date': datetime.datetime(2015, 5, 12, 16, 51, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 16, 4, 22, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 22, 18, 9, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6cb0d3d0-4286-4773-8c0c-ae7bca7b9d5a', 'end_date': datetime.datetime(2018, 12, 3, 0, 23, 26), 'start_time': datetime.datetime(2013, 5, 27, 17, 33, 35), 'rate': 5, 'updated_at': datetime.datetime(2015, 3, 11, 11, 25, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Kenya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f926e071-ed5e-4f5e-9312-ecf85cea4eed', 'job_description': 'Up-sized object-oriented benchmark', 'start_date': datetime.datetime(2018, 9, 25, 11, 55, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 9, 21, 53, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 28, 19, 47, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1ccbe7c4-71f3-405d-90ff-57797dbbb647', 'end_date': datetime.datetime(2015, 9, 3, 11, 48, 45), 'start_time': datetime.datetime(2017, 7, 15, 16, 49, 32), 'rate': 5, 'updated_at': datetime.datetime(2015, 7, 13, 11, 13, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
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{'_id': 'a86979b6-6ce7-4aa3-bbbf-02b7b9b446ce', 'job_description': 'Persevering clear-thinking database', 'start_date': datetime.datetime(2016, 6, 25, 22, 4, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 31, 5, 1, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 13, 18, 50, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f4202011-3939-4d7a-a1fc-9ed4a5c22c82', 'end_date': datetime.datetime(2019, 9, 24, 23, 47, 15), 'start_time': datetime.datetime(2019, 6, 13, 1, 24, 25), 'rate': 3, 'updated_at': datetime.datetime(2013, 6, 25, 22, 22, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': '56fb5ed1-46fe-49c0-9192-5491d66577e5', 'job_description': 'Total directional infrastructure', 'start_date': datetime.datetime(2018, 2, 11, 1, 7, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 2, 12, 7, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 26, 0, 5, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '003606ff-3665-464e-934c-6be47f2e46bb', 'end_date': datetime.datetime(2011, 10, 18, 3, 37, 43), 'start_time': datetime.datetime(2014, 10, 3, 6, 5, 37), 'rate': 5, 'updated_at': datetime.datetime(2016, 9, 30, 3, 6, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7346acab-4ad8-4e85-8b3a-e6c5c678c103', 'job_description': 'Proactive fault-tolerant core', 'start_date': datetime.datetime(2019, 3, 5, 22, 34, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 2, 20, 5, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 21, 15, 10, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bab876ba-1e9e-42a3-b892-2013cd7f8f3f', 'end_date': datetime.datetime(2017, 4, 16, 2, 32, 52), 'start_time': datetime.datetime(2018, 10, 9, 13, 3, 37), 'rate': 4, 'updated_at': datetime.datetime(2015, 8, 6, 12, 28, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': '8973efa1-25db-439e-a901-28c3ba55f7df', 'job_description': 'Cross-group transitional standardization', 'start_date': datetime.datetime(2011, 3, 7, 15, 33, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 9, 13, 15, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 5, 14, 14, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bf15e3bb-3155-4385-8af1-1d950d9a7c79', 'end_date': datetime.datetime(2012, 5, 24, 12, 37, 53), 'start_time': datetime.datetime(2013, 8, 31, 23, 32, 58), 'rate': 2, 'updated_at': datetime.datetime(2018, 10, 23, 2, 10, 36), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
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{'_id': 'e89f9282-379d-4681-8939-af447d5d7ab9', 'job_description': 'Balanced holistic system engine', 'start_date': datetime.datetime(2016, 4, 29, 13, 32, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 31, 13, 39, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 12, 18, 59, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fc3a54c2-65b4-41bb-aee4-5ef3442758b1', 'end_date': datetime.datetime(2017, 8, 27, 1, 38, 30), 'start_time': datetime.datetime(2019, 6, 20, 9, 16, 3), 'rate': 1, 'updated_at': datetime.datetime(2010, 7, 12, 8, 33, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Iraq', 'special_note': 'thanks'}
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{'_id': '0a237dfb-f06f-4055-815c-f382eaf48db9', 'job_description': 'Progressive local process improvement', 'start_date': datetime.datetime(2016, 8, 2, 13, 12, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 6, 21, 14, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 17, 2, 7, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1a687d9c-e631-4bfe-81d5-4d1380ab719b', 'end_date': datetime.datetime(2017, 12, 6, 22, 50, 25), 'start_time': datetime.datetime(2014, 4, 30, 23, 7, 48), 'rate': 5, 'updated_at': datetime.datetime(2013, 2, 19, 3, 44, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0cf15eae-0510-4fa3-af15-6a67682b1f83', 'job_description': 'Multi-lateral client-server project', 'start_date': datetime.datetime(2013, 7, 16, 5, 53, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 6, 18, 48, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 20, 4, 41, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ba9aba92-9aae-4e98-b2a2-d1556faba1c6', 'end_date': datetime.datetime(2015, 3, 7, 18, 21, 42), 'start_time': datetime.datetime(2010, 3, 6, 6, 4, 41), 'rate': 2, 'updated_at': datetime.datetime(2015, 10, 4, 19, 23, 46), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
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{'_id': '0c29b313-e8a0-4ca0-85a7-94e0608327ee', 'job_description': 'Optimized systematic process improvement', 'start_date': datetime.datetime(2019, 8, 2, 7, 56, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 9, 7, 57, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 13, 12, 25, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '819a6528-8db9-46b2-9242-e83ff1df9827', 'end_date': datetime.datetime(2010, 8, 9, 4, 32, 19), 'start_time': datetime.datetime(2016, 4, 19, 0, 31, 42), 'rate': 4, 'updated_at': datetime.datetime(2012, 12, 29, 11, 21, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Finland', 'special_note': 'thanks'}
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{'_id': 'f0bb5aa1-068d-4f5c-9b16-7550d23060b6', 'job_description': 'Organic local monitoring', 'start_date': datetime.datetime(2010, 3, 12, 13, 21, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 21, 0, 13, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 30, 0, 6, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e5d8f18b-d088-4e40-acbd-2eb7709b4c98', 'end_date': datetime.datetime(2016, 10, 12, 20, 18, 7), 'start_time': datetime.datetime(2016, 9, 8, 5, 4, 6), 'rate': 3, 'updated_at': datetime.datetime(2010, 2, 8, 12, 5, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
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{'_id': 'c3e1b103-09ad-46b3-b087-0812793d7904', 'job_description': 'Implemented reciprocal methodology', 'start_date': datetime.datetime(2017, 5, 10, 14, 18, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 8, 5, 58, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 14, 23, 53, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8d3c488e-895e-494c-ac47-1d00e227928a', 'end_date': datetime.datetime(2013, 7, 31, 16, 55, 55), 'start_time': datetime.datetime(2016, 9, 11, 7, 37, 12), 'rate': 5, 'updated_at': datetime.datetime(2010, 10, 13, 14, 46, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e7a6734e-aaaf-49d0-a1b9-cb81f871982f', 'job_description': 'Managed explicit website', 'start_date': datetime.datetime(2018, 6, 6, 21, 44, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 23, 4, 11, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 9, 18, 7, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'afe0fe52-ddcc-4281-bc35-0a383cd0239c', 'end_date': datetime.datetime(2017, 3, 16, 8, 13, 52), 'start_time': datetime.datetime(2015, 9, 17, 3, 6, 20), 'rate': 3, 'updated_at': datetime.datetime(2015, 10, 7, 2, 0, 11), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2c1e7a5b-da0d-4644-9264-56190fe30e3c', 'job_description': 'Virtual systemic utilisation', 'start_date': datetime.datetime(2014, 5, 9, 1, 39, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 28, 1, 41, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 20, 20, 35, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '52ac0428-2919-4801-8489-c2103cae505a', 'end_date': datetime.datetime(2018, 9, 8, 0, 45, 45), 'start_time': datetime.datetime(2016, 6, 17, 13, 42, 37), 'rate': 4, 'updated_at': datetime.datetime(2011, 2, 15, 12, 2, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f55ee830-9764-477a-936d-914b2aa455bc', 'job_description': 'Switchable mission-critical architecture', 'start_date': datetime.datetime(2015, 3, 9, 1, 42, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 28, 19, 55, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 4, 11, 53, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd69d9149-9c63-4f2e-920e-41fb198eccad', 'end_date': datetime.datetime(2010, 2, 26, 10, 51, 40), 'start_time': datetime.datetime(2018, 5, 15, 6, 8, 44), 'rate': 3, 'updated_at': datetime.datetime(2014, 2, 3, 11, 13, 51), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '511eae0f-2679-4d75-b203-2f06b29ae657', 'job_description': 'Automated eco-centric secured line', 'start_date': datetime.datetime(2016, 2, 27, 13, 21, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 29, 4, 1, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 6, 21, 47, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2b9b8d2d-1b21-4b56-a577-2c0e8d81c952', 'end_date': datetime.datetime(2015, 3, 3, 9, 41, 11), 'start_time': datetime.datetime(2012, 1, 21, 21, 47, 57), 'rate': 5, 'updated_at': datetime.datetime(2019, 7, 17, 13, 57, 59), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '56409f9b-4fcd-4524-b090-920d70dba932', 'job_description': 'Open-source intermediate service-desk', 'start_date': datetime.datetime(2010, 2, 11, 11, 52, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 3, 1, 54, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 23, 21, 2, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '829a1a04-b43c-4c53-8e40-f3310f136361', 'end_date': datetime.datetime(2013, 10, 25, 22, 13, 13), 'start_time': datetime.datetime(2019, 10, 26, 5, 46, 14), 'rate': 4, 'updated_at': datetime.datetime(2019, 9, 22, 22, 48, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1cad7bb7-059a-4c4a-b5c5-8bdecd163c73', 'job_description': 'Polarised 4th generation functionalities', 'start_date': datetime.datetime(2018, 4, 25, 6, 34, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 23, 16, 41, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 20, 1, 39, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c4cac4b8-b925-44b8-9d1e-849cba1716e7', 'end_date': datetime.datetime(2017, 8, 28, 15, 5, 11), 'start_time': datetime.datetime(2017, 6, 6, 0, 3, 59), 'rate': 3, 'updated_at': datetime.datetime(2012, 9, 25, 10, 20, 17), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dadc7725-bd30-4715-9ef6-5f896bbdd01a', 'job_description': 'Grass-roots local time-frame', 'start_date': datetime.datetime(2018, 11, 26, 23, 25, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 19, 15, 43, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 24, 1, 48, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '52ce7cd8-1aa3-42b4-807d-200df336d5c0', 'end_date': datetime.datetime(2011, 6, 3, 10, 20, 51), 'start_time': datetime.datetime(2016, 4, 22, 19, 28, 42), 'rate': 4, 'updated_at': datetime.datetime(2015, 2, 15, 8, 36, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '25adc924-6a58-449a-af05-40e46f7afd7a', 'job_description': 'Distributed contextually-based architecture', 'start_date': datetime.datetime(2013, 10, 12, 12, 42, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 12, 19, 7, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 2, 17, 50, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '18195e3b-4fc9-4a5b-aed3-e84252f85a86', 'end_date': datetime.datetime(2010, 8, 20, 12, 5, 59), 'start_time': datetime.datetime(2019, 11, 9, 15, 47, 40), 'rate': 3, 'updated_at': datetime.datetime(2018, 8, 16, 12, 18, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e1e3efa2-e30e-471e-a506-5e7fe5316b5b', 'job_description': 'Down-sized directional database', 'start_date': datetime.datetime(2017, 3, 9, 10, 57, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 6, 9, 55, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 5, 9, 39, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'da800697-a30d-4431-8b9a-79318b26984b', 'end_date': datetime.datetime(2016, 11, 21, 18, 58, 15), 'start_time': datetime.datetime(2011, 3, 4, 11, 42, 37), 'rate': 5, 'updated_at': datetime.datetime(2014, 10, 5, 5, 11, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Costa Rica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '92447650-6719-41de-b460-40c387c1a98d', 'job_description': 'Synergistic optimizing intranet', 'start_date': datetime.datetime(2019, 4, 12, 9, 42, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 11, 9, 28, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 29, 22, 8, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3360258a-c3db-4ffc-aac8-5b626d00cf11', 'end_date': datetime.datetime(2015, 2, 7, 15, 46, 3), 'start_time': datetime.datetime(2016, 7, 5, 22, 58, 3), 'rate': 4, 'updated_at': datetime.datetime(2013, 1, 28, 11, 46, 46), 'job_title': 'CoffeeMaker', 'service_id': 'United States Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '21d6495f-5b8f-4b2e-902c-ac1fa660805c', 'job_description': 'Seamless bandwidth-monitored function', 'start_date': datetime.datetime(2011, 5, 9, 13, 35, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 17, 14, 14, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 8, 13, 48, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e13f31c-4b70-4ef2-9b49-5000d2653fca', 'end_date': datetime.datetime(2010, 3, 25, 7, 44, 57), 'start_time': datetime.datetime(2018, 6, 29, 14, 37, 39), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 14, 23, 28, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2079dcaf-6cc8-435f-9bf1-c6b0ccc2f731', 'job_description': 'Integrated 5th generation local area network', 'start_date': datetime.datetime(2014, 9, 7, 1, 12, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 28, 5, 30, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 19, 19, 1, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd39d3e53-82f9-4e53-8d7f-d2ce89c87e56', 'end_date': datetime.datetime(2018, 4, 28, 9, 49, 22), 'start_time': datetime.datetime(2016, 2, 15, 19, 33, 52), 'rate': 2, 'updated_at': datetime.datetime(2010, 4, 7, 22, 48, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '33f4f7c0-9b3f-4e8b-9229-158556a85724', 'job_description': 'Re-contextualized needs-based forecast', 'start_date': datetime.datetime(2018, 2, 14, 7, 5, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 28, 0, 11, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 25, 5, 44, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '589523be-6ec1-454d-9bfa-580529eef6dc', 'end_date': datetime.datetime(2013, 12, 13, 23, 28, 57), 'start_time': datetime.datetime(2019, 9, 6, 17, 56, 41), 'rate': 3, 'updated_at': datetime.datetime(2017, 1, 5, 0, 12, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2efe256d-d5a0-47a1-a135-a5e80c980ec7', 'job_description': 'Monitored heuristic strategy', 'start_date': datetime.datetime(2013, 2, 1, 4, 25, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 4, 14, 48, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 12, 19, 45, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf050bf9-d31c-436b-874e-9d79db0958ee', 'end_date': datetime.datetime(2016, 11, 16, 0, 15, 51), 'start_time': datetime.datetime(2016, 2, 5, 2, 42, 34), 'rate': 5, 'updated_at': datetime.datetime(2015, 11, 18, 0, 21, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e07a039d-0c36-45f6-a3f3-8d6fc5f09440', 'job_description': 'Team-oriented tangible matrices', 'start_date': datetime.datetime(2019, 9, 30, 8, 28, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 27, 3, 47, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 6, 23, 32, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '07bab8bd-cf11-47a4-ba33-5a0185d84dda', 'end_date': datetime.datetime(2010, 4, 28, 0, 44, 42), 'start_time': datetime.datetime(2014, 6, 12, 10, 50, 7), 'rate': 5, 'updated_at': datetime.datetime(2010, 4, 4, 7, 7, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Equatorial Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4dc23b75-5494-4935-abef-607a915b3040', 'job_description': 'Reverse-engineered logistical knowledge base', 'start_date': datetime.datetime(2018, 12, 1, 14, 54, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 26, 1, 48, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 11, 3, 35, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ed4f6123-628a-4ee5-bc22-2c1fe9d40748', 'end_date': datetime.datetime(2011, 11, 16, 22, 6, 35), 'start_time': datetime.datetime(2018, 3, 13, 11, 26, 42), 'rate': 2, 'updated_at': datetime.datetime(2017, 5, 11, 5, 29, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd8066f56-e057-481e-9907-3c8186cd659d', 'job_description': 'Stand-alone attitude-oriented flexibility', 'start_date': datetime.datetime(2011, 5, 3, 18, 7, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 21, 9, 45, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 6, 21, 51, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e0d2eb01-17f8-45d7-b0dc-a205da74a3c5', 'end_date': datetime.datetime(2013, 10, 23, 10, 54, 51), 'start_time': datetime.datetime(2014, 5, 9, 2, 36, 15), 'rate': 1, 'updated_at': datetime.datetime(2018, 11, 8, 21, 12, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1421a0c1-b7e2-4283-9fe8-7737b3d3693f', 'job_description': 'Quality-focused non-volatile analyzer', 'start_date': datetime.datetime(2013, 6, 17, 7, 4, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 28, 6, 44, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 28, 15, 27, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '188f2169-55d9-41c2-80ed-9f3e47b1d211', 'end_date': datetime.datetime(2016, 9, 28, 22, 35, 35), 'start_time': datetime.datetime(2013, 6, 3, 4, 24), 'rate': 5, 'updated_at': datetime.datetime(2014, 5, 26, 0, 24, 38), 'job_title': 'CoffeeMaker', 'service_id': 'French Polynesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '639a5763-884a-4477-9d42-c251b3efada3', 'job_description': 'Digitized motivating middleware', 'start_date': datetime.datetime(2010, 9, 3, 21, 13, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 18, 6, 4, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 11, 9, 33, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd800a944-1f99-4e73-a1fc-4368c6cca079', 'end_date': datetime.datetime(2011, 11, 16, 1, 12, 59), 'start_time': datetime.datetime(2012, 6, 15, 8, 11, 5), 'rate': 4, 'updated_at': datetime.datetime(2019, 1, 9, 2, 48, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '86c9fed1-feaf-40e8-a3cd-f36abc597ce3', 'job_description': 'Synchronised 24 hour challenge', 'start_date': datetime.datetime(2017, 3, 1, 2, 59, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 27, 1, 25, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 25, 0, 33, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '14bff1fc-2967-49ca-9c65-10dc8c20538a', 'end_date': datetime.datetime(2013, 11, 14, 13, 46, 38), 'start_time': datetime.datetime(2014, 6, 11, 13, 9, 4), 'rate': 1, 'updated_at': datetime.datetime(2011, 3, 1, 7, 41, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e69a9467-0cea-4e1e-84a1-18eb93a61c65', 'job_description': 'Programmable zero defect productivity', 'start_date': datetime.datetime(2010, 3, 10, 18, 45, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 29, 13, 33, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 27, 8, 41, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a94a2880-4726-49d2-afcd-6bed2369aa5e', 'end_date': datetime.datetime(2011, 9, 17, 18, 22, 30), 'start_time': datetime.datetime(2017, 7, 20, 15, 8, 58), 'rate': 2, 'updated_at': datetime.datetime(2014, 8, 31, 3, 32, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3f5f609d-c803-4aad-9b4d-3064764a8ef5', 'job_description': 'Networked mobile data-warehouse', 'start_date': datetime.datetime(2018, 10, 30, 20, 31, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 25, 15, 27, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 17, 23, 28, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd16f3a17-df20-4045-ac02-5e92ef2b233f', 'end_date': datetime.datetime(2012, 12, 1, 10, 59, 13), 'start_time': datetime.datetime(2014, 7, 4, 15, 31, 51), 'rate': 2, 'updated_at': datetime.datetime(2019, 8, 14, 11, 34, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Macedonia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8ca8b71b-9acb-4004-bc4d-c3bfd01734af', 'job_description': 'De-engineered encompassing parallelism', 'start_date': datetime.datetime(2013, 6, 24, 21, 57, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 21, 12, 30, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 18, 3, 30, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5486195d-3082-48ed-ac68-76c5f1dd4f05', 'end_date': datetime.datetime(2018, 5, 3, 23, 23, 38), 'start_time': datetime.datetime(2019, 4, 5, 1, 4, 12), 'rate': 2, 'updated_at': datetime.datetime(2012, 4, 3, 14, 34, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '92be9b91-14d1-4f63-8d47-567a92276132', 'job_description': 'Integrated upward-trending protocol', 'start_date': datetime.datetime(2016, 1, 6, 20, 8, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 19, 0, 40, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 12, 4, 23, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a3cbe33f-6b74-4eac-b272-f16bbd5e71b3', 'end_date': datetime.datetime(2019, 10, 11, 20, 36, 26), 'start_time': datetime.datetime(2016, 7, 16, 1, 38, 8), 'rate': 1, 'updated_at': datetime.datetime(2011, 3, 12, 1, 51, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'be1dee03-bbc2-463c-8ab3-cd447b1aba1c', 'job_description': 'Implemented foreground interface', 'start_date': datetime.datetime(2015, 8, 7, 3, 12, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 27, 23, 23, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 2, 20, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44331b8c-148f-4c94-9432-61c0a75dd65d', 'end_date': datetime.datetime(2013, 3, 5, 13, 36, 31), 'start_time': datetime.datetime(2019, 4, 11, 4, 43, 29), 'rate': 4, 'updated_at': datetime.datetime(2019, 7, 20, 20, 57, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c987671-23f5-43d2-b8d7-c0fe652a0133', 'job_description': 'Expanded directional circuit', 'start_date': datetime.datetime(2013, 5, 1, 4, 35, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 10, 20, 50, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 29, 1, 14, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c9b0d34-dc8d-405e-a95e-ce9fd9ae7a30', 'end_date': datetime.datetime(2015, 8, 17, 8, 57, 24), 'start_time': datetime.datetime(2015, 5, 3, 2, 8, 2), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 18, 6, 40, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a013a928-4147-40f5-8cf7-2c3b7f967cd0', 'job_description': 'Horizontal optimizing architecture', 'start_date': datetime.datetime(2015, 10, 10, 16, 51, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 23, 17, 47, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 30, 15, 40, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7e1e7910-2a3d-4dae-a6a8-5c73f787ecf3', 'end_date': datetime.datetime(2015, 6, 26, 23, 53, 12), 'start_time': datetime.datetime(2014, 7, 26, 7, 17, 58), 'rate': 4, 'updated_at': datetime.datetime(2016, 8, 18, 20, 0, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e9b3ac17-3576-41d9-84ec-1a93a8e17bc7', 'job_description': 'Implemented regional capability', 'start_date': datetime.datetime(2019, 9, 1, 10, 35, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 24, 7, 26, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 15, 20, 34, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9448a64d-81e6-43c3-a26a-57511d3ac699', 'end_date': datetime.datetime(2018, 7, 20, 7, 2, 12), 'start_time': datetime.datetime(2012, 3, 14, 11, 16, 35), 'rate': 3, 'updated_at': datetime.datetime(2014, 8, 15, 0, 56, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '71260cef-cdd0-4902-8a67-82a73f564e34', 'job_description': 'Switchable 6th generation synergy', 'start_date': datetime.datetime(2017, 8, 12, 10, 25, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 6, 17, 22, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 2, 20, 44, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '753b1717-f47e-4920-bd8a-dab234422be3', 'end_date': datetime.datetime(2019, 4, 17, 21, 36, 1), 'start_time': datetime.datetime(2015, 1, 10, 11, 48, 7), 'rate': 2, 'updated_at': datetime.datetime(2016, 6, 19, 10, 46, 6), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ce52a18d-5a07-4283-b0e5-55ffc72c4ef7', 'job_description': 'Face to face homogeneous project', 'start_date': datetime.datetime(2019, 10, 28, 14, 39, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 11, 18, 14, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 16, 19, 42, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e76810a1-4f42-436b-bde1-7ad829b3c853', 'end_date': datetime.datetime(2017, 4, 9, 9, 17, 52), 'start_time': datetime.datetime(2013, 6, 22, 8, 31, 59), 'rate': 3, 'updated_at': datetime.datetime(2012, 10, 27, 4, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c776fb49-aacf-482f-b19c-3f937005b04a', 'job_description': 'Implemented intermediate array', 'start_date': datetime.datetime(2014, 7, 15, 21, 28, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 9, 16, 7, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 27, 14, 5, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '973ab444-a369-42bb-b438-7921c08e52b6', 'end_date': datetime.datetime(2019, 3, 4, 5, 20, 13), 'start_time': datetime.datetime(2017, 6, 15, 19, 10, 37), 'rate': 3, 'updated_at': datetime.datetime(2017, 9, 30, 16, 0, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a8bf4b8b-3ab3-4b2c-bb09-7d12d81b225a', 'job_description': 'Synergistic tangible leverage', 'start_date': datetime.datetime(2011, 5, 15, 17, 26, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 14, 23, 51, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 9, 9, 46, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '11e4a20e-b6b9-48a9-9e93-9e058ab65bbf', 'end_date': datetime.datetime(2011, 5, 19, 16, 10, 57), 'start_time': datetime.datetime(2017, 7, 4, 8, 15, 42), 'rate': 3, 'updated_at': datetime.datetime(2011, 10, 21, 8, 27, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Sri Lanka', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f38989c1-e0a9-46f6-980d-d99115df7d4c', 'job_description': 'Customer-focused global pricing structure', 'start_date': datetime.datetime(2012, 6, 13, 16, 27, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 22, 0, 41, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 2, 16, 31, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '978d781d-ea5f-4cd1-b122-e8289cdaf4e6', 'end_date': datetime.datetime(2010, 6, 14, 7, 42, 20), 'start_time': datetime.datetime(2013, 12, 9, 19, 47, 3), 'rate': 2, 'updated_at': datetime.datetime(2015, 6, 22, 4, 25, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '91d2e0ed-f186-45ec-a25d-e913ddc5e989', 'job_description': 'Realigned bifurcated collaboration', 'start_date': datetime.datetime(2011, 10, 16, 2, 50, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 21, 16, 11, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 27, 1, 14, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7712e192-3343-4ce4-9d29-927117a40c69', 'end_date': datetime.datetime(2017, 12, 22, 14, 59, 26), 'start_time': datetime.datetime(2013, 10, 23, 15, 19, 26), 'rate': 5, 'updated_at': datetime.datetime(2016, 5, 26, 12, 42, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '154e7745-1449-4d76-bd3d-b40ef014b70d', 'job_description': 'Up-sized dynamic parallelism', 'start_date': datetime.datetime(2011, 3, 29, 18, 28, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 22, 20, 34, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 5, 4, 46, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd6b77c56-00bd-4e88-b54f-37d14c089596', 'end_date': datetime.datetime(2019, 6, 6, 9, 36, 15), 'start_time': datetime.datetime(2015, 8, 25, 13, 13, 42), 'rate': 1, 'updated_at': datetime.datetime(2016, 4, 6, 18, 49, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '53b4e6fe-80f1-43c8-9c29-9d818ca973cd', 'job_description': 'Synergized even-keeled encoding', 'start_date': datetime.datetime(2014, 3, 27, 14, 22, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 12, 19, 21, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 22, 10, 1, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ce0cd707-fd4f-4eab-82ae-7885658f0f0e', 'end_date': datetime.datetime(2010, 3, 3, 18, 11, 25), 'start_time': datetime.datetime(2013, 7, 25, 13, 28, 42), 'rate': 4, 'updated_at': datetime.datetime(2016, 12, 21, 1, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7f3fdbf4-ba2d-42fc-8412-5be5d9ec1766', 'job_description': 'Multi-lateral static monitoring', 'start_date': datetime.datetime(2010, 5, 2, 13, 58, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 7, 3, 5, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 20, 21, 38, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bdb3ebae-a715-4491-9bd7-10d8d8c58f21', 'end_date': datetime.datetime(2014, 10, 11, 19, 45, 9), 'start_time': datetime.datetime(2012, 11, 14, 3, 16, 16), 'rate': 5, 'updated_at': datetime.datetime(2016, 7, 22, 7, 7, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '149829bd-efa4-42f8-bf95-b9a467067cf9', 'job_description': 'Stand-alone system-worthy algorithm', 'start_date': datetime.datetime(2013, 5, 5, 7, 49, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 2, 6, 3, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 24, 20, 3, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '76c39350-6212-4159-9068-248090645c74', 'end_date': datetime.datetime(2019, 6, 13, 7, 24, 34), 'start_time': datetime.datetime(2015, 12, 5, 7, 23, 8), 'rate': 5, 'updated_at': datetime.datetime(2015, 4, 30, 21, 6, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '529bfec8-99dd-4290-8a22-87daf8d3d79c', 'job_description': 'Programmable multi-tasking open architecture', 'start_date': datetime.datetime(2016, 5, 2, 14, 16, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 25, 18, 19, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 28, 6, 57, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fc52cfe1-ca3f-4fa3-94a5-286be0adab57', 'end_date': datetime.datetime(2010, 4, 3, 2, 49, 9), 'start_time': datetime.datetime(2015, 5, 10, 10, 56, 34), 'rate': 2, 'updated_at': datetime.datetime(2015, 1, 3, 20, 6, 7), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '79460e60-293e-4d74-aa16-ef1ce54e06d7', 'job_description': 'Organic background strategy', 'start_date': datetime.datetime(2017, 6, 8, 16, 50, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 19, 9, 59, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 8, 20, 5, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5dd4750f-e06f-42ba-8e24-aafdd590ccb6', 'end_date': datetime.datetime(2016, 9, 2, 9, 59, 42), 'start_time': datetime.datetime(2010, 11, 2, 14, 56, 43), 'rate': 2, 'updated_at': datetime.datetime(2011, 12, 9, 4, 38, 33), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9890eb24-c50e-4bfe-b62c-066f752a2321', 'job_description': 'User-friendly bottom-line toolset', 'start_date': datetime.datetime(2015, 7, 19, 4, 10, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 16, 18, 50, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 23, 23, 46, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0688efca-1105-40af-ba81-eb43363044e0', 'end_date': datetime.datetime(2011, 3, 29, 14, 7, 2), 'start_time': datetime.datetime(2016, 3, 31, 6, 50, 3), 'rate': 3, 'updated_at': datetime.datetime(2016, 9, 4, 16, 16, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8788f6a1-8b82-414d-b72b-ce0208568d99', 'job_description': 'Profound disintermediate encoding', 'start_date': datetime.datetime(2017, 4, 17, 5, 26, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 25, 2, 27, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 26, 9, 11, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a83e097-34f3-43ba-b486-c8b32a949c41', 'end_date': datetime.datetime(2010, 6, 6, 17, 47, 3), 'start_time': datetime.datetime(2010, 7, 29, 16, 45, 20), 'rate': 2, 'updated_at': datetime.datetime(2018, 12, 25, 19, 45, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '56cd9908-c895-4f18-88e3-b9f129405eab', 'job_description': 'Inverse human-resource productivity', 'start_date': datetime.datetime(2013, 2, 13, 11, 26, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 2, 8, 31, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 7, 21, 35, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ac4dc228-e3f9-4556-a813-57dd8f730297', 'end_date': datetime.datetime(2018, 2, 27, 0, 33, 59), 'start_time': datetime.datetime(2018, 8, 22, 23, 14, 36), 'rate': 3, 'updated_at': datetime.datetime(2014, 11, 19, 12, 32, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cc067e07-2f77-4c07-9c1c-afc425c10ebf', 'job_description': 'Multi-tiered mobile policy', 'start_date': datetime.datetime(2018, 8, 26, 5, 59, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 8, 4, 35, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 4, 6, 3, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ae18dd5d-50d2-4c79-aafc-6803310d0bd9', 'end_date': datetime.datetime(2017, 7, 18, 14, 31, 25), 'start_time': datetime.datetime(2019, 8, 12, 10, 10, 40), 'rate': 5, 'updated_at': datetime.datetime(2017, 11, 30, 18, 19, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6085b63f-71dc-4ac3-b9c2-8f1c0dfce063', 'job_description': 'Customer-focused modular array', 'start_date': datetime.datetime(2010, 9, 1, 14, 20, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 29, 17, 16, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 3, 22, 55, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6da8dbdf-3c90-41ee-818a-94a3929bd151', 'end_date': datetime.datetime(2018, 12, 2, 2, 59, 27), 'start_time': datetime.datetime(2017, 3, 16, 5, 55, 32), 'rate': 5, 'updated_at': datetime.datetime(2015, 12, 30, 22, 9, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
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{'_id': '35ca39e4-27ff-4278-84fe-d944191e1b37', 'job_description': 'Balanced tangible moderator', 'start_date': datetime.datetime(2013, 1, 9, 10, 43, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 6, 17, 7, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 3, 6, 44, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f69f7ee7-8163-4fd2-a2ca-481ac3afcf3a', 'end_date': datetime.datetime(2014, 5, 4, 14, 33, 13), 'start_time': datetime.datetime(2017, 10, 11, 22, 11, 58), 'rate': 3, 'updated_at': datetime.datetime(2014, 8, 7, 0, 38, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
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{'_id': '26d019bf-ee36-4ebf-9f3a-fe101ec5a0d9', 'job_description': 'Synergistic clear-thinking neural-net', 'start_date': datetime.datetime(2018, 7, 23, 0, 55, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 31, 15, 24, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 20, 2, 22, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '17766a07-151a-438d-9524-341736e2a7dd', 'end_date': datetime.datetime(2013, 1, 13, 9, 7, 10), 'start_time': datetime.datetime(2017, 7, 16, 7, 15, 31), 'rate': 3, 'updated_at': datetime.datetime(2019, 2, 12, 1, 15, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
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{'_id': '626e17de-207a-4538-8c59-b48aa7247894', 'job_description': 'Function-based web-enabled database', 'start_date': datetime.datetime(2013, 1, 19, 2, 56, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 14, 20, 28, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 2, 2, 23, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4730f7e8-ae11-4eac-9178-7301ca0e5420', 'end_date': datetime.datetime(2010, 3, 20, 19, 27, 34), 'start_time': datetime.datetime(2011, 7, 9, 19, 49, 54), 'rate': 2, 'updated_at': datetime.datetime(2011, 3, 17, 17, 55, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Trinidad and Tobago', 'special_note': 'thanks'}
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{'_id': 'bd0d0f24-0767-4f87-b0c1-2e7a568fe857', 'job_description': 'Seamless tertiary definition', 'start_date': datetime.datetime(2019, 11, 5, 8, 51, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 18, 4, 48, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 21, 18, 10, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f720978d-775f-4d08-9257-0916e222ca74', 'end_date': datetime.datetime(2016, 6, 11, 5, 9, 30), 'start_time': datetime.datetime(2017, 1, 4, 18, 29), 'rate': 2, 'updated_at': datetime.datetime(2015, 12, 21, 18, 37, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
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{'_id': '2e6a878f-3cef-427b-afd6-c8c37a6767cc', 'job_description': 'Robust fault-tolerant data-warehouse', 'start_date': datetime.datetime(2018, 10, 5, 22, 41, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 29, 15, 14, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 28, 6, 55, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '41c89eb1-164a-4e7d-a55e-e085a073f663', 'end_date': datetime.datetime(2016, 7, 13, 11, 40, 6), 'start_time': datetime.datetime(2014, 7, 14, 5, 1, 33), 'rate': 4, 'updated_at': datetime.datetime(2010, 3, 1, 12, 5, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Rwanda', 'special_note': 'thanks'}
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{'_id': '0cc63276-bf48-490b-8464-9eaf06313a1a', 'job_description': 'Object-based actuating info-mediaries', 'start_date': datetime.datetime(2015, 4, 17, 4, 30, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 18, 11, 50, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 28, 14, 22, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ff444d8f-e395-474a-91df-cbcde9b153ca', 'end_date': datetime.datetime(2013, 2, 15, 4, 58, 56), 'start_time': datetime.datetime(2018, 10, 29, 17, 26, 44), 'rate': 3, 'updated_at': datetime.datetime(2011, 5, 3, 12, 31, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
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{'_id': '15cc90ba-4c87-4010-8dce-532f1bd509a6', 'job_description': 'Extended systematic Graphic Interface', 'start_date': datetime.datetime(2016, 11, 29, 23, 12, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 29, 23, 39, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 1, 20, 42, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '59a1bb26-3b0c-4051-8854-1958a6bd9164', 'end_date': datetime.datetime(2017, 8, 20, 2, 32, 43), 'start_time': datetime.datetime(2011, 2, 8, 20, 23, 33), 'rate': 3, 'updated_at': datetime.datetime(2017, 3, 10, 10, 44, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
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{'_id': '74201593-2a02-4ea1-8445-5fad22e4b51a', 'job_description': 'Reactive background hardware', 'start_date': datetime.datetime(2016, 6, 17, 11, 23, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 19, 0, 57, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 26, 16, 21, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6e740381-5483-436b-913f-1bb27ba923ad', 'end_date': datetime.datetime(2017, 4, 6, 3, 4, 24), 'start_time': datetime.datetime(2014, 3, 21, 4, 27, 30), 'rate': 5, 'updated_at': datetime.datetime(2017, 4, 28, 23, 23, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
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{'_id': '81100e4b-c168-45d7-b9a4-e376dd5ab5f0', 'job_description': 'Multi-layered stable circuit', 'start_date': datetime.datetime(2018, 8, 4, 3, 21, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 10, 3, 41, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 1, 8, 48, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a904a84b-6176-4efa-98f4-f5806073bc52', 'end_date': datetime.datetime(2012, 1, 12, 23, 28, 35), 'start_time': datetime.datetime(2019, 4, 15, 13, 6, 59), 'rate': 2, 'updated_at': datetime.datetime(2015, 3, 12, 4, 1, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
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{'_id': 'd2656baa-06ae-45d7-9ca0-eb85ee0111a7', 'job_description': 'Horizontal 24/7 help-desk', 'start_date': datetime.datetime(2012, 1, 21, 2, 9, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 2, 4, 8, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 28, 14, 35, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7ca78c69-0295-47ac-b462-33d3b7fe5a22', 'end_date': datetime.datetime(2015, 7, 9, 14, 59, 53), 'start_time': datetime.datetime(2012, 10, 22, 12, 48, 56), 'rate': 4, 'updated_at': datetime.datetime(2011, 1, 9, 8, 20, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': 'bde0e0e8-f9d9-48a5-8ab0-0a41d52ebdf4', 'job_description': 'Innovative optimal moratorium', 'start_date': datetime.datetime(2017, 4, 17, 11, 35, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 3, 3, 26, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 20, 13, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '76bb0ef5-9fda-4b43-a9d1-6620331f3acf', 'end_date': datetime.datetime(2012, 12, 22, 22, 37, 16), 'start_time': datetime.datetime(2016, 3, 6, 12, 23, 16), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 15, 16, 51, 54), 'job_title': 'CoffeeMaker', 'service_id': 'United States Minor Outlying Islands', 'special_note': 'thanks'}
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{'_id': '95e02080-78b9-4cde-a476-1812c90651ef', 'job_description': 'Universal multi-tasking database', 'start_date': datetime.datetime(2014, 7, 13, 16, 50, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 14, 18, 48, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 16, 10, 25, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ba0b36a5-e393-4220-a85e-9bc8535294bc', 'end_date': datetime.datetime(2010, 4, 1, 6, 24, 50), 'start_time': datetime.datetime(2015, 7, 31, 3, 38, 45), 'rate': 2, 'updated_at': datetime.datetime(2019, 6, 28, 21, 47, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
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{'_id': '56260aa3-0d9c-4e1d-bb57-8219e0376d5f', 'job_description': 'Team-oriented holistic customer loyalty', 'start_date': datetime.datetime(2018, 3, 3, 19, 12, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 1, 6, 3, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 15, 9, 45, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ceb4f4a-9acf-4b37-a078-ae9c7aa8abad', 'end_date': datetime.datetime(2013, 8, 17, 10, 18, 57), 'start_time': datetime.datetime(2014, 8, 12, 19, 2, 28), 'rate': 2, 'updated_at': datetime.datetime(2010, 8, 31, 15, 41, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Aruba', 'special_note': 'thanks'}
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{'_id': 'bd36c134-e502-4e6c-b8b0-d4a585a109b3', 'job_description': 'Reactive real-time complexity', 'start_date': datetime.datetime(2010, 8, 2, 20, 34, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 22, 18, 27, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 5, 23, 12, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '444c5840-e39c-4b57-b5ac-edcfb472c155', 'end_date': datetime.datetime(2016, 9, 19, 16, 48, 26), 'start_time': datetime.datetime(2017, 5, 9, 15, 12, 3), 'rate': 3, 'updated_at': datetime.datetime(2013, 12, 21, 1, 5, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
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{'_id': 'f73d5703-bf00-48ae-ac21-a8080c9ea29a', 'job_description': 'Seamless 3rd generation circuit', 'start_date': datetime.datetime(2016, 12, 21, 17, 32, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 25, 6, 31, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 24, 0, 13, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5eff83b-5900-47cd-a810-512c74a91271', 'end_date': datetime.datetime(2019, 7, 3, 6, 21, 25), 'start_time': datetime.datetime(2012, 4, 14, 22, 49, 36), 'rate': 5, 'updated_at': datetime.datetime(2015, 1, 16, 18, 18, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
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{'_id': 'a7956b3c-8387-409e-9473-0aeffb89ec4e', 'job_description': 'Innovative explicit array', 'start_date': datetime.datetime(2013, 3, 26, 12, 54, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 12, 10, 16, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 25, 18, 27, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1669ab66-5d92-4106-8492-5d7320091d71', 'end_date': datetime.datetime(2017, 11, 17, 18, 47, 23), 'start_time': datetime.datetime(2019, 4, 1, 15, 15, 17), 'rate': 2, 'updated_at': datetime.datetime(2017, 8, 11, 11, 31, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': 'a580e1a8-404d-4e7e-bc0d-fa2051b51290', 'job_description': 'Secured zero tolerance installation', 'start_date': datetime.datetime(2014, 7, 9, 16, 0, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 15, 17, 29, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 10, 2, 50, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6ed6263a-13c7-4b3f-a199-166d7fc5ac06', 'end_date': datetime.datetime(2011, 12, 10, 0, 46, 59), 'start_time': datetime.datetime(2017, 4, 2, 1, 21, 17), 'rate': 2, 'updated_at': datetime.datetime(2019, 11, 19, 9, 31, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': '57ccf73d-9087-48ae-a862-deeaf3c6d7a4', 'job_description': 'Synergized maximized attitude', 'start_date': datetime.datetime(2019, 9, 5, 22, 41, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 1, 2, 55, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 11, 13, 12, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '61af9b69-6edf-40bc-b913-7685101e2639', 'end_date': datetime.datetime(2018, 6, 20, 16, 21, 33), 'start_time': datetime.datetime(2012, 4, 21, 9, 40, 12), 'rate': 5, 'updated_at': datetime.datetime(2011, 3, 14, 10, 1, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Ukraine', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '77e97f43-e058-4dbd-a5f6-2207d998f531', 'job_description': 'Expanded intangible knowledge user', 'start_date': datetime.datetime(2018, 1, 13, 14, 28, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 3, 23, 21, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 22, 15, 20, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '520ce3e5-7865-416a-a3b6-a5c5a6142b5b', 'end_date': datetime.datetime(2016, 10, 25, 11, 41, 45), 'start_time': datetime.datetime(2014, 8, 12, 9, 1, 24), 'rate': 3, 'updated_at': datetime.datetime(2011, 1, 27, 10, 56, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f2e2206c-23f5-4708-a7f1-e618373610fa', 'job_description': 'Adaptive grid-enabled moratorium', 'start_date': datetime.datetime(2015, 3, 21, 11, 8, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 9, 2, 1, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 8, 8, 50, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bcbcccb8-39bd-4de4-b996-0090ec667ac2', 'end_date': datetime.datetime(2011, 1, 4, 9, 40, 35), 'start_time': datetime.datetime(2011, 1, 4, 10, 1, 14), 'rate': 2, 'updated_at': datetime.datetime(2018, 8, 10, 16, 1, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dd4c9bd9-87c1-4d84-8c2e-23eecf12f0dd', 'job_description': 'Integrated mobile interface', 'start_date': datetime.datetime(2018, 11, 24, 12, 54, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 15, 18, 11, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 5, 9, 19, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '36713a59-c98e-43c5-a1c9-ed0c61f27830', 'end_date': datetime.datetime(2010, 9, 22, 23, 55, 7), 'start_time': datetime.datetime(2011, 9, 9, 17, 21, 13), 'rate': 2, 'updated_at': datetime.datetime(2014, 1, 26, 3, 28, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '58613725-2c9b-4366-a3e5-bbdf437bd7a0', 'job_description': 'Enterprise-wide 5th generation circuit', 'start_date': datetime.datetime(2015, 2, 14, 14, 16, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 9, 1, 57, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 4, 12, 24, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '53296612-be69-4ab8-8002-38b017ebc078', 'end_date': datetime.datetime(2018, 9, 30, 12, 24, 17), 'start_time': datetime.datetime(2012, 4, 27, 21, 33, 36), 'rate': 2, 'updated_at': datetime.datetime(2017, 5, 12, 8, 1, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5670b3af-a2f7-46f3-91cf-f1774ae5a48a', 'job_description': 'Implemented full-range help-desk', 'start_date': datetime.datetime(2017, 9, 17, 11, 10, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 25, 10, 36, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 13, 4, 24, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cc39ba3a-1be4-4e68-9347-f8f64e62d5c3', 'end_date': datetime.datetime(2019, 2, 8, 9, 57, 51), 'start_time': datetime.datetime(2013, 10, 9, 11, 52, 33), 'rate': 1, 'updated_at': datetime.datetime(2017, 5, 27, 5, 50, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a57da1c9-8c3e-44a2-98b6-a0db752cfc08', 'job_description': 'Fundamental demand-driven secured line', 'start_date': datetime.datetime(2011, 7, 28, 13, 27, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 25, 21, 33, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 23, 23, 29, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2eddf53-dcb2-446e-bd96-06c0579db49b', 'end_date': datetime.datetime(2013, 9, 14, 5, 6, 47), 'start_time': datetime.datetime(2014, 7, 13, 3, 17, 54), 'rate': 4, 'updated_at': datetime.datetime(2019, 10, 20, 9, 24, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd07da93e-2b6c-4ad3-ade0-0e44175bffdb', 'job_description': 'Ameliorated solution-oriented budgetary management', 'start_date': datetime.datetime(2017, 6, 6, 16, 23, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 28, 23, 46, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 19, 10, 31, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e0235d09-c00f-475e-9d44-433b9bc34b8f', 'end_date': datetime.datetime(2015, 8, 7, 21, 58, 10), 'start_time': datetime.datetime(2016, 12, 11, 18, 0, 31), 'rate': 2, 'updated_at': datetime.datetime(2013, 4, 17, 14, 7, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '781c8e68-5b4f-4016-b590-b26ed9963c1e', 'job_description': 'Switchable analyzing flexibility', 'start_date': datetime.datetime(2018, 3, 10, 3, 30, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 20, 15, 56, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 20, 1, 37, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bd77c03a-0f67-4f58-b6c4-cc388bf3034c', 'end_date': datetime.datetime(2018, 7, 11, 0, 10, 40), 'start_time': datetime.datetime(2017, 9, 14, 18, 28, 40), 'rate': 4, 'updated_at': datetime.datetime(2016, 3, 28, 13, 28, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Cook Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2ea16fd0-c20e-4479-ad8b-322657d79886', 'job_description': 'Networked disintermediate intranet', 'start_date': datetime.datetime(2011, 4, 21, 23, 34, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 11, 21, 20, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 23, 21, 38, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '113026f1-aadb-4728-bba6-b5cd376b937d', 'end_date': datetime.datetime(2017, 5, 1, 14, 45, 36), 'start_time': datetime.datetime(2019, 8, 27, 9, 37, 56), 'rate': 5, 'updated_at': datetime.datetime(2019, 3, 26, 1, 52, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5f5a62e8-243f-4d5e-a658-e83a559420e4', 'job_description': 'Multi-lateral bi-directional installation', 'start_date': datetime.datetime(2014, 12, 24, 16, 38, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 20, 22, 42, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 29, 11, 14, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'abb2d5c6-2f95-44f7-b607-8ff8b2093627', 'end_date': datetime.datetime(2011, 12, 20, 9, 16, 16), 'start_time': datetime.datetime(2019, 7, 23, 4, 56, 29), 'rate': 4, 'updated_at': datetime.datetime(2012, 2, 29, 0, 12, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ba02980d-3e4d-4c15-95a4-bfc17aea2663', 'job_description': 'Front-line clear-thinking website', 'start_date': datetime.datetime(2018, 3, 3, 18, 56, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 10, 12, 50, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 4, 4, 8, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bdef9757-bab3-4837-b599-bca80f1b490e', 'end_date': datetime.datetime(2017, 1, 8, 6, 27, 11), 'start_time': datetime.datetime(2015, 2, 25, 22, 48, 4), 'rate': 3, 'updated_at': datetime.datetime(2012, 12, 26, 0, 2, 58), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '85e6e093-4655-45df-acfe-bac613a74762', 'job_description': 'Profit-focused interactive productivity', 'start_date': datetime.datetime(2010, 4, 15, 22, 15, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 23, 18, 32, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 24, 14, 36, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fef5d18f-3e26-4835-b502-49ca9f05997a', 'end_date': datetime.datetime(2013, 5, 21, 7, 49, 51), 'start_time': datetime.datetime(2016, 11, 9, 7, 15, 26), 'rate': 4, 'updated_at': datetime.datetime(2011, 6, 10, 7, 56, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '029cddb2-8ee2-4356-a695-6f8b04159d6a', 'job_description': 'Pre-emptive systemic frame', 'start_date': datetime.datetime(2016, 4, 2, 23, 29, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 10, 6, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 5, 1, 20, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4e9175a5-a5e2-48dc-8906-aa1f56575772', 'end_date': datetime.datetime(2011, 4, 9, 11, 16, 46), 'start_time': datetime.datetime(2015, 9, 1, 14, 17, 41), 'rate': 5, 'updated_at': datetime.datetime(2010, 6, 5, 9, 55, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ec32dde8-394a-416a-ae1d-0fd340154c53', 'job_description': 'Down-sized high-level moratorium', 'start_date': datetime.datetime(2013, 3, 3, 21, 37, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 6, 23, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 28, 12, 18, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f185f57-c23e-4dc9-bca4-f0998dfffd5f', 'end_date': datetime.datetime(2019, 7, 31, 0, 58, 50), 'start_time': datetime.datetime(2018, 10, 9, 19, 10, 14), 'rate': 5, 'updated_at': datetime.datetime(2014, 11, 5, 4, 45, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dc512e4b-cf76-40ac-9305-c2b54d2c7e27', 'job_description': 'Reverse-engineered leading edge algorithm', 'start_date': datetime.datetime(2012, 4, 6, 11, 17, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 11, 20, 45, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 6, 10, 53, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b536aa96-74ee-4dd2-aaee-812ef489a5cb', 'end_date': datetime.datetime(2017, 4, 24, 14, 17, 34), 'start_time': datetime.datetime(2016, 5, 18, 15, 16, 38), 'rate': 2, 'updated_at': datetime.datetime(2011, 12, 5, 20, 14, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '311e069e-974a-4942-96ca-d3f8c153bf37', 'job_description': 'Progressive multimedia challenge', 'start_date': datetime.datetime(2013, 2, 26, 16, 3, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 18, 18, 7, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 18, 8, 7, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e97b1f5-a17d-4582-8228-9e40ee133c45', 'end_date': datetime.datetime(2011, 4, 17, 17, 46, 5), 'start_time': datetime.datetime(2012, 10, 7, 23, 8, 53), 'rate': 2, 'updated_at': datetime.datetime(2012, 6, 5, 22, 15, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bb60b78e-d546-46aa-b9b0-c28c2fcc9393', 'job_description': 'Innovative contextually-based model', 'start_date': datetime.datetime(2014, 3, 30, 22, 7, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 21, 4, 24, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 2, 0, 49, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e8ce67a-bf13-48af-9c04-1cbf77d79561', 'end_date': datetime.datetime(2011, 10, 18, 22, 16, 57), 'start_time': datetime.datetime(2011, 7, 21, 9, 35, 17), 'rate': 3, 'updated_at': datetime.datetime(2016, 11, 9, 16, 24, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '38c2bc02-76bd-47d4-a363-7daf85334dbe', 'job_description': 'Self-enabling exuding Graphical User Interface', 'start_date': datetime.datetime(2018, 9, 4, 16, 49, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 27, 14, 50, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 11, 21, 7, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '56e85b0f-cc06-4734-a664-9819f95b928d', 'end_date': datetime.datetime(2019, 6, 11, 11, 41, 50), 'start_time': datetime.datetime(2019, 7, 30, 11, 51, 40), 'rate': 4, 'updated_at': datetime.datetime(2012, 4, 16, 17, 24, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Bahamas', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ed8d77b9-129c-4850-83d1-610308a52621', 'job_description': 'Configurable optimizing process improvement', 'start_date': datetime.datetime(2015, 12, 6, 4, 1, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 3, 0, 22, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 15, 19, 19, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4e31fb49-c6be-40fe-80b5-36070ef29631', 'end_date': datetime.datetime(2012, 11, 13, 15, 40, 8), 'start_time': datetime.datetime(2010, 7, 20, 10, 36, 51), 'rate': 4, 'updated_at': datetime.datetime(2016, 5, 28, 10, 9, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Palestinian Territory', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0f190b64-b8fe-4ca9-9b32-43eee40107cc', 'job_description': 'Organic web-enabled function', 'start_date': datetime.datetime(2011, 8, 17, 16, 1, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 23, 10, 7, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 12, 5, 21, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '98ec5241-88ee-4d72-b6ef-e3d579e04565', 'end_date': datetime.datetime(2010, 4, 8, 3, 4, 55), 'start_time': datetime.datetime(2013, 7, 9, 19, 35, 20), 'rate': 2, 'updated_at': datetime.datetime(2012, 10, 25, 23, 12, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Cambodia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5367aff3-ca5b-4f63-88f4-bf95fac4645c', 'job_description': 'Proactive leading edge workforce', 'start_date': datetime.datetime(2016, 10, 13, 4, 54, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 7, 11, 34, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 18, 19, 48, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3f2e5857-efb9-4670-9cd9-1bf2e46cb5ad', 'end_date': datetime.datetime(2014, 12, 30, 4, 0, 28), 'start_time': datetime.datetime(2017, 2, 5, 10, 49, 1), 'rate': 1, 'updated_at': datetime.datetime(2013, 1, 24, 3, 24, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Eritrea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7175372a-dad3-4e9d-9942-fbb19e07ad31', 'job_description': 'Automated maximized paradigm', 'start_date': datetime.datetime(2015, 11, 2, 18, 18, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 28, 1, 3, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 12, 22, 23, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f7f24f92-9c8c-4a94-a5dc-533509f00aa9', 'end_date': datetime.datetime(2013, 10, 10, 0, 3, 20), 'start_time': datetime.datetime(2014, 12, 26, 3, 42, 25), 'rate': 3, 'updated_at': datetime.datetime(2017, 4, 4, 1, 34, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Bosnia and Herzegovina', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '96b56656-abb8-4dc7-9e35-ba9d6dfd187b', 'job_description': 'Enhanced assymetric structure', 'start_date': datetime.datetime(2014, 12, 15, 10, 45, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 23, 17, 23, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 25, 18, 50, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8ea15a73-4613-4b7d-ae6f-eb854212fd89', 'end_date': datetime.datetime(2010, 10, 25, 17, 50, 54), 'start_time': datetime.datetime(2015, 7, 3, 11, 16, 10), 'rate': 3, 'updated_at': datetime.datetime(2011, 2, 23, 11, 53, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f399ea1e-2161-4afa-a485-975977a5145f', 'job_description': 'Upgradable analyzing concept', 'start_date': datetime.datetime(2012, 5, 16, 4, 53, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 6, 1, 57, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 20, 6, 11, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '23c762aa-228f-441e-b493-cf688b027f36', 'end_date': datetime.datetime(2019, 4, 14, 4, 56, 26), 'start_time': datetime.datetime(2018, 4, 6, 12, 0, 5), 'rate': 4, 'updated_at': datetime.datetime(2012, 7, 25, 22, 41, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b8590761-05d9-43cb-aa4e-09222cdb45ca', 'job_description': 'Profound maximized focus group', 'start_date': datetime.datetime(2011, 8, 11, 19, 29, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 24, 6, 0, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 28, 0, 34, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '32b5048a-3e0d-48e4-ac8b-c1ce54bb3582', 'end_date': datetime.datetime(2014, 12, 10, 7, 7, 3), 'start_time': datetime.datetime(2010, 8, 7, 13, 34, 2), 'rate': 1, 'updated_at': datetime.datetime(2018, 11, 2, 22, 11, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3fbd137d-57ef-49e8-82f0-f00eae336e15', 'job_description': 'Organized fault-tolerant orchestration', 'start_date': datetime.datetime(2017, 3, 25, 20, 20, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 15, 5, 0, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 13, 21, 42, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9c8cd004-fdfb-440a-ab57-34c00b021904', 'end_date': datetime.datetime(2015, 8, 13, 21, 16, 57), 'start_time': datetime.datetime(2011, 6, 27, 5, 55, 19), 'rate': 1, 'updated_at': datetime.datetime(2011, 3, 24, 19, 41, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3cda0e5f-fe61-4126-85f6-4cf7fe0668c4', 'job_description': 'Phased regional migration', 'start_date': datetime.datetime(2014, 11, 13, 4, 42, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 2, 8, 12, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 20, 8, 41, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9765136d-d490-4ff3-903c-da24de8c179b', 'end_date': datetime.datetime(2012, 10, 19, 19, 12, 23), 'start_time': datetime.datetime(2013, 11, 20, 22, 59, 31), 'rate': 4, 'updated_at': datetime.datetime(2011, 9, 29, 20, 30, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ac9760c6-762b-43f2-96ec-db97faa12bc3', 'job_description': 'Configurable secondary emulation', 'start_date': datetime.datetime(2018, 11, 15, 19, 39, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 6, 15, 32, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 25, 17, 1, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '54d0fe08-62f2-46e5-83b5-0418d38f3e03', 'end_date': datetime.datetime(2018, 10, 23, 5, 14, 36), 'start_time': datetime.datetime(2014, 5, 27, 12, 9), 'rate': 2, 'updated_at': datetime.datetime(2017, 10, 4, 7, 18), 'job_title': 'CoffeeMaker', 'service_id': 'British Indian Ocean Territory (Chagos Archipelago)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '95879a32-81c1-490e-a5b4-b0443dc7bde1', 'job_description': 'Total impactful installation', 'start_date': datetime.datetime(2011, 7, 22, 7, 14, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 11, 3, 1, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 3, 20, 18, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a008e821-7858-4f1b-b2dd-c22fc9801da9', 'end_date': datetime.datetime(2014, 6, 28, 3, 18, 25), 'start_time': datetime.datetime(2014, 9, 16, 11, 5, 49), 'rate': 3, 'updated_at': datetime.datetime(2019, 3, 9, 8, 59, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Tokelau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f3783d9e-3834-48f7-84bf-a1b74da26d46', 'job_description': 'Profit-focused local productivity', 'start_date': datetime.datetime(2018, 10, 13, 4, 29, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 21, 0, 19, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 16, 19, 50, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c7a237c7-21e2-4792-ac59-ff048c398bfb', 'end_date': datetime.datetime(2011, 8, 8, 21, 53, 22), 'start_time': datetime.datetime(2014, 7, 4, 10, 10, 3), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 17, 11, 3, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7041740d-e369-4843-a2e4-c822efb7438e', 'job_description': 'Synergized upward-trending data-warehouse', 'start_date': datetime.datetime(2013, 12, 31, 6, 13, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 29, 17, 3, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 2, 7, 22, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4584a236-7a37-4925-b7d6-1229c3f72c56', 'end_date': datetime.datetime(2013, 7, 16, 8, 38, 36), 'start_time': datetime.datetime(2014, 1, 3, 16, 28, 24), 'rate': 3, 'updated_at': datetime.datetime(2016, 4, 10, 18, 7, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '51b597e7-ce7d-40d8-83c6-b63a9b4d04b7', 'job_description': 'Seamless 5th generation circuit', 'start_date': datetime.datetime(2011, 1, 23, 20, 10, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 26, 15, 27, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 27, 19, 10, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '197b3ebc-b11f-48cb-8f8d-0be7e2510ffd', 'end_date': datetime.datetime(2017, 5, 21, 9, 4, 51), 'start_time': datetime.datetime(2016, 11, 30, 18, 29, 50), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 13, 12, 49, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3fd7672f-a18c-4788-89b1-52da7fa699ec', 'job_description': 'Face to face 5th generation knowledge user', 'start_date': datetime.datetime(2017, 7, 14, 16, 30, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 24, 0, 52, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 16, 13, 3, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1abe3b34-201a-4728-ad42-3361486759e4', 'end_date': datetime.datetime(2012, 8, 9, 22, 10, 57), 'start_time': datetime.datetime(2013, 9, 16, 12, 42, 44), 'rate': 2, 'updated_at': datetime.datetime(2011, 12, 1, 1, 36), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cd982a9e-a18a-4a9e-8c20-510f67c99fe4', 'job_description': 'Progressive contextually-based hub', 'start_date': datetime.datetime(2012, 11, 19, 22, 24, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 29, 13, 25, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 28, 1, 37, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b227e294-2198-4b9b-95ff-e93d701f9a47', 'end_date': datetime.datetime(2012, 5, 2, 8, 28, 11), 'start_time': datetime.datetime(2017, 10, 23, 18, 25, 35), 'rate': 3, 'updated_at': datetime.datetime(2018, 5, 18, 21, 53, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '88af2907-392f-4c09-aedc-51382b96fd41', 'job_description': 'Visionary 6th generation intranet', 'start_date': datetime.datetime(2010, 9, 21, 4, 45, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 27, 10, 16, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 10, 20, 31, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e232f59d-a3d7-4f6c-89d9-9eb924abf7ed', 'end_date': datetime.datetime(2017, 7, 30, 11, 3, 1), 'start_time': datetime.datetime(2012, 10, 22, 5, 56, 8), 'rate': 2, 'updated_at': datetime.datetime(2013, 6, 2, 8, 42, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b4aeb23f-d6ea-41d3-99ba-2cd57c952f62', 'job_description': 'Extended bifurcated service-desk', 'start_date': datetime.datetime(2018, 2, 19, 9, 27, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 30, 23, 14, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 1, 9, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '284ef53f-a943-4fc6-994e-47fbc871904c', 'end_date': datetime.datetime(2011, 7, 17, 3, 56, 48), 'start_time': datetime.datetime(2017, 8, 17, 23, 34, 27), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 22, 22, 37, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eada3d01-e748-48d4-82bb-d7bd0c924848', 'job_description': 'Multi-lateral systematic benchmark', 'start_date': datetime.datetime(2012, 10, 29, 8, 55, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 15, 11, 52, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 9, 2, 58, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3d36184f-950c-432c-b71e-2f975767286f', 'end_date': datetime.datetime(2018, 9, 6, 15, 4, 7), 'start_time': datetime.datetime(2013, 11, 18, 6, 6, 29), 'rate': 1, 'updated_at': datetime.datetime(2017, 4, 18, 0, 2, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b399dff3-703f-4108-8d85-b149b1e428cc', 'job_description': 'Innovative contextually-based solution', 'start_date': datetime.datetime(2013, 10, 18, 14, 19, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 12, 3, 25, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 11, 7, 12, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1fc15cb3-0ea9-4ed7-b4b6-ff74d7f51b0b', 'end_date': datetime.datetime(2012, 12, 8, 5, 13, 22), 'start_time': datetime.datetime(2016, 7, 12, 5, 33, 55), 'rate': 2, 'updated_at': datetime.datetime(2010, 1, 25, 14, 22, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cdca53f5-3eaa-4567-a57b-1d1b95fb7e1d', 'job_description': 'Configurable 3rd generation architecture', 'start_date': datetime.datetime(2012, 1, 8, 23, 13, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 21, 14, 36, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 5, 2, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '01735030-9311-4855-a67c-08b486b01731', 'end_date': datetime.datetime(2013, 12, 2, 13, 39, 10), 'start_time': datetime.datetime(2015, 7, 8, 6, 58, 53), 'rate': 3, 'updated_at': datetime.datetime(2016, 11, 17, 7, 29, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9a270202-843c-4f88-97ce-71cc2ad6ac89', 'job_description': 'Persevering eco-centric knowledge user', 'start_date': datetime.datetime(2015, 12, 29, 3, 1, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 29, 7, 9, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 29, 22, 36, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44b02da1-167e-4eec-902f-693f41d8f207', 'end_date': datetime.datetime(2013, 8, 23, 21, 40, 35), 'start_time': datetime.datetime(2011, 7, 7, 15, 53, 41), 'rate': 2, 'updated_at': datetime.datetime(2017, 7, 1, 2, 2, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c3df530e-06f0-4fac-ad64-6f014b4217d5', 'job_description': 'Synergized 24 hour archive', 'start_date': datetime.datetime(2018, 2, 13, 1, 27, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 26, 23, 8, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 28, 13, 19, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '26f2064a-bf84-42ef-82d1-38b10842ba1c', 'end_date': datetime.datetime(2018, 5, 28, 13, 15, 58), 'start_time': datetime.datetime(2016, 1, 20, 10, 44, 10), 'rate': 3, 'updated_at': datetime.datetime(2011, 12, 1, 15, 39, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Benin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cecad36d-6434-4339-a730-d83343ce2e70', 'job_description': 'Fundamental non-volatile Graphical User Interface', 'start_date': datetime.datetime(2016, 8, 11, 15, 53, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 31, 16, 34, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 30, 22, 8, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '235363e6-bfcb-4868-9a10-3e8c851d91b0', 'end_date': datetime.datetime(2013, 6, 17, 21, 9, 50), 'start_time': datetime.datetime(2014, 11, 30, 15, 24, 26), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 25, 10, 40, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b8bc7921-0e76-4d13-8be9-208d2f055211', 'job_description': 'Sharable zero tolerance encryption', 'start_date': datetime.datetime(2015, 3, 15, 2, 0, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 22, 3, 18, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 25, 0, 59, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a35bc1c-d467-492a-843a-1d491018c06c', 'end_date': datetime.datetime(2012, 8, 14, 21, 9, 15), 'start_time': datetime.datetime(2018, 9, 1, 18, 25, 1), 'rate': 5, 'updated_at': datetime.datetime(2011, 8, 19, 3, 49, 12), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0fc64c57-41d4-4b5b-98c0-a0d07402e77a', 'job_description': 'Stand-alone tangible flexibility', 'start_date': datetime.datetime(2014, 1, 11, 10, 54, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 3, 20, 40, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 27, 5, 5, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '334b4d9e-0926-4dfa-9854-bc86cd0ed0e7', 'end_date': datetime.datetime(2011, 2, 14, 12, 15, 9), 'start_time': datetime.datetime(2013, 6, 6, 2, 50, 9), 'rate': 1, 'updated_at': datetime.datetime(2013, 3, 2, 9, 15, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fcb4b2ae-198e-40c6-8101-bdaedd0922cb', 'job_description': 'De-engineered client-server implementation', 'start_date': datetime.datetime(2013, 6, 6, 2, 27, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 13, 5, 16, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 31, 22, 41, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '739ec16f-1712-4f46-af24-72ced5ad2725', 'end_date': datetime.datetime(2011, 1, 21, 20, 13, 7), 'start_time': datetime.datetime(2018, 2, 16, 20, 34, 25), 'rate': 1, 'updated_at': datetime.datetime(2016, 11, 5, 20, 26, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2bf8e63e-9f8a-418b-ba97-df1ac9cfabb2', 'job_description': 'Reactive web-enabled portal', 'start_date': datetime.datetime(2015, 5, 21, 5, 56, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 12, 1, 37, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 2, 15, 43, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '42cd9e56-36d6-41c5-a912-4e9ec0fe762a', 'end_date': datetime.datetime(2015, 8, 26, 7, 0, 40), 'start_time': datetime.datetime(2010, 1, 18, 0, 55, 27), 'rate': 1, 'updated_at': datetime.datetime(2019, 2, 1, 2, 52, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5818af7e-cff6-47eb-9d21-227fd1254930', 'job_description': 'Team-oriented radical firmware', 'start_date': datetime.datetime(2010, 3, 3, 5, 32, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 10, 4, 2, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 30, 20, 57, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b986e947-309a-45e0-8511-4622e1613eb9', 'end_date': datetime.datetime(2014, 3, 13, 18, 44, 53), 'start_time': datetime.datetime(2014, 8, 17, 17, 5, 37), 'rate': 5, 'updated_at': datetime.datetime(2010, 1, 31, 4, 5, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Pakistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '73cd62ec-5fae-45f7-b741-e0b5390cfc18', 'job_description': 'Configurable maximized algorithm', 'start_date': datetime.datetime(2013, 3, 15, 23, 19, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 21, 16, 51, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 24, 12, 13, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5d76a6c-e735-43fc-b9c7-bc33ff5bc74a', 'end_date': datetime.datetime(2017, 1, 31, 7, 53, 55), 'start_time': datetime.datetime(2017, 9, 23, 8, 42, 11), 'rate': 3, 'updated_at': datetime.datetime(2014, 10, 24, 3, 12, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eebaeaec-1e6b-4ae5-baf7-0b90bc095899', 'job_description': 'Multi-channelled user-facing data-warehouse', 'start_date': datetime.datetime(2011, 7, 27, 18, 51, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 20, 14, 52, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 27, 23, 52, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a7e252e8-87fc-468f-bfed-efd11f0f9328', 'end_date': datetime.datetime(2019, 7, 10, 18, 40, 56), 'start_time': datetime.datetime(2013, 6, 23, 16, 38, 26), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 7, 16, 23, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '55d691b3-0a0d-4704-a802-506df41684a2', 'job_description': 'Function-based bottom-line hub', 'start_date': datetime.datetime(2012, 5, 13, 15, 32, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 11, 8, 13, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 5, 5, 50, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c0a142ec-8644-4602-87d6-15b6c9f7d0de', 'end_date': datetime.datetime(2015, 9, 24, 2, 27, 5), 'start_time': datetime.datetime(2016, 12, 19, 4, 9, 59), 'rate': 4, 'updated_at': datetime.datetime(2010, 10, 21, 17, 30, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '99297a0f-17db-4550-ac58-5a3451fbd554', 'job_description': 'Decentralized user-facing function', 'start_date': datetime.datetime(2013, 8, 4, 2, 1, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 23, 9, 26, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 20, 14, 6, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '11a00ee2-743a-4c31-90b8-605522f15ec2', 'end_date': datetime.datetime(2017, 4, 24, 6, 41, 45), 'start_time': datetime.datetime(2015, 6, 6, 3, 17, 50), 'rate': 5, 'updated_at': datetime.datetime(2017, 2, 12, 17, 15, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '86bfa23b-1827-4592-971a-82f0d87fb2a8', 'job_description': 'Re-engineered dedicated array', 'start_date': datetime.datetime(2014, 12, 26, 10, 52, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 19, 2, 59, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 15, 16, 57, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e49d1d77-7725-4184-a28b-a3f56e2cb827', 'end_date': datetime.datetime(2013, 5, 7, 6, 37, 21), 'start_time': datetime.datetime(2015, 4, 24, 8, 27, 1), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 18, 22, 7, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0031595b-3ddb-4c43-988f-1853682c1e95', 'job_description': 'Operative incremental approach', 'start_date': datetime.datetime(2011, 11, 8, 8, 0, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 20, 0, 36, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 5, 15, 10, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '28a02844-47cf-4f2e-943f-15e66e783610', 'end_date': datetime.datetime(2017, 12, 11, 2, 36, 16), 'start_time': datetime.datetime(2015, 12, 7, 21, 49), 'rate': 3, 'updated_at': datetime.datetime(2012, 11, 4, 21, 28, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8bac9135-05f3-40ac-a4ce-68f244b96408', 'job_description': 'Switchable bottom-line leverage', 'start_date': datetime.datetime(2014, 4, 25, 11, 41, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 16, 15, 21, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 3, 9, 46, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '73a4731d-20f2-4365-afbc-cc9b730f1d09', 'end_date': datetime.datetime(2017, 6, 1, 17, 28, 19), 'start_time': datetime.datetime(2018, 6, 21, 4, 12, 41), 'rate': 5, 'updated_at': datetime.datetime(2016, 3, 5, 0, 21, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Bulgaria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bd41bf9b-33c3-4e13-91f5-01a35dbb020a', 'job_description': 'Total systemic leverage', 'start_date': datetime.datetime(2019, 1, 2, 10, 50, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 3, 12, 36, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 14, 16, 0, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a71d43c0-bfe8-485b-bdee-5ac329bdfb44', 'end_date': datetime.datetime(2014, 3, 25, 5, 18, 27), 'start_time': datetime.datetime(2011, 2, 2, 10, 3, 27), 'rate': 5, 'updated_at': datetime.datetime(2011, 10, 26, 0, 28, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '360fcb9a-e08f-4f7b-b18d-c313fc963c0a', 'job_description': 'Total actuating service-desk', 'start_date': datetime.datetime(2010, 3, 28, 0, 20, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 22, 2, 46, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 21, 13, 0, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ebfc5ffd-05d5-4db4-b151-b1a2207e32b9', 'end_date': datetime.datetime(2012, 10, 17, 2, 40, 44), 'start_time': datetime.datetime(2011, 6, 24, 4, 47, 9), 'rate': 3, 'updated_at': datetime.datetime(2014, 3, 28, 3, 3, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '52d209c9-a097-4bdf-829b-03cc1ff0e415', 'job_description': 'Customer-focused scalable concept', 'start_date': datetime.datetime(2012, 2, 23, 10, 47, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 19, 11, 28, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 30, 7, 7, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '51cfd7a7-7008-4a9c-a1b6-dbf09d3f9cb1', 'end_date': datetime.datetime(2019, 11, 14, 8, 30, 56), 'start_time': datetime.datetime(2018, 5, 28, 13, 14, 55), 'rate': 4, 'updated_at': datetime.datetime(2011, 7, 22, 10, 19, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a1a7f689-a2e9-4719-8714-eb0f1be47fbc', 'job_description': 'Pre-emptive next generation time-frame', 'start_date': datetime.datetime(2010, 6, 16, 12, 31, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 21, 23, 16, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 10, 1, 37, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a117024d-9151-4f8f-b5a8-56ae205645f8', 'end_date': datetime.datetime(2019, 9, 27, 11, 22, 13), 'start_time': datetime.datetime(2010, 11, 11, 12, 0, 15), 'rate': 2, 'updated_at': datetime.datetime(2015, 4, 22, 13, 53, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ddd376cb-7814-4005-86c7-d385e5ba3c07', 'job_description': 'Virtual methodical service-desk', 'start_date': datetime.datetime(2019, 9, 1, 1, 27, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 13, 13, 47, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 15, 22, 8, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9c6957b1-76cb-437a-8024-43f30b9eb501', 'end_date': datetime.datetime(2014, 10, 12, 5, 1, 15), 'start_time': datetime.datetime(2013, 5, 20, 20, 44, 53), 'rate': 1, 'updated_at': datetime.datetime(2011, 1, 15, 17, 19, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0726956b-1cb7-4767-b3a5-64693c7c5d4b', 'job_description': 'Open-source scalable hierarchy', 'start_date': datetime.datetime(2012, 12, 2, 18, 21, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 27, 5, 46, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 29, 18, 45, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '46662d99-6823-4c58-940f-7d6d5241f3b5', 'end_date': datetime.datetime(2015, 9, 22, 9, 57, 20), 'start_time': datetime.datetime(2017, 11, 24, 6, 49, 48), 'rate': 4, 'updated_at': datetime.datetime(2017, 11, 13, 1, 47, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '76a7f774-3d02-4973-ac50-5c5eab79fdb2', 'job_description': 'Right-sized web-enabled process improvement', 'start_date': datetime.datetime(2016, 11, 1, 12, 45, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 25, 2, 54, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 20, 6, 4, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0425dd24-a4c5-4990-af15-5428de61c18c', 'end_date': datetime.datetime(2016, 2, 8, 0, 27, 45), 'start_time': datetime.datetime(2015, 1, 29, 16, 58, 26), 'rate': 3, 'updated_at': datetime.datetime(2016, 10, 22, 5, 26, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Egypt', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eea5a021-9bda-45ef-9cf4-7589c27682f0', 'job_description': 'Visionary bottom-line knowledge base', 'start_date': datetime.datetime(2016, 3, 9, 9, 6, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 27, 23, 47, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 2, 18, 40, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '354d5c58-9748-446b-9c97-3ea52dffd73c', 'end_date': datetime.datetime(2018, 6, 10, 13, 24, 55), 'start_time': datetime.datetime(2010, 1, 25, 4, 48, 38), 'rate': 5, 'updated_at': datetime.datetime(2010, 8, 19, 5, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0f32fb6c-35cf-4880-90e8-ac3dcd846c2b', 'job_description': 'User-centric fresh-thinking concept', 'start_date': datetime.datetime(2018, 5, 25, 2, 17, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 20, 10, 54, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 7, 21, 50, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '70f1b7e7-666e-4861-b834-35bdc522efe1', 'end_date': datetime.datetime(2011, 6, 16, 4, 40, 58), 'start_time': datetime.datetime(2013, 8, 23, 21, 13, 32), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 21, 23, 54, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '36b71724-cad2-44ec-ac67-a5684f6e5138', 'job_description': 'Reactive composite hardware', 'start_date': datetime.datetime(2014, 8, 9, 4, 7, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 28, 15, 54, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 25, 17, 27, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5929f2a-3022-46ed-ba97-b9fb597372c0', 'end_date': datetime.datetime(2014, 4, 14, 10, 37, 54), 'start_time': datetime.datetime(2013, 11, 3, 11, 37, 27), 'rate': 4, 'updated_at': datetime.datetime(2010, 3, 5, 12, 56, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '84c67546-9be2-4539-8706-ac492ced6130', 'job_description': 'Optional empowering support', 'start_date': datetime.datetime(2016, 3, 5, 13, 25, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 19, 16, 5, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 31, 4, 49, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '01993a92-0e44-49f7-ae81-8029f5d9351a', 'end_date': datetime.datetime(2013, 9, 17, 22, 56, 37), 'start_time': datetime.datetime(2014, 3, 11, 15, 19, 49), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 23, 23, 37, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1b29c750-5703-4521-8d04-7d40f926cf6b', 'job_description': 'Front-line methodical conglomeration', 'start_date': datetime.datetime(2010, 9, 6, 14, 12, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 27, 10, 17, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 2, 1, 11, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0bbc2b7f-0534-425c-b37d-67653ecfca06', 'end_date': datetime.datetime(2017, 10, 31, 12, 24, 24), 'start_time': datetime.datetime(2012, 1, 30, 10, 5, 57), 'rate': 5, 'updated_at': datetime.datetime(2015, 9, 4, 0, 33, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '88168e57-68d7-4942-a642-cc2c98aec007', 'job_description': 'Synergized optimizing encryption', 'start_date': datetime.datetime(2019, 7, 24, 6, 4, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 12, 17, 57, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 13, 21, 13, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0cf96cc6-c2e1-400f-aa42-ee48edbe3a92', 'end_date': datetime.datetime(2016, 9, 10, 17, 51, 58), 'start_time': datetime.datetime(2015, 7, 6, 2, 18, 49), 'rate': 4, 'updated_at': datetime.datetime(2014, 3, 7, 19, 43, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '10b35317-576d-479f-86a8-a7ed202e2232', 'job_description': 'Extended maximized focus group', 'start_date': datetime.datetime(2013, 6, 2, 3, 43, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 18, 13, 45, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 27, 8, 4, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '07715ea9-330e-4655-b952-44b91b99e1a8', 'end_date': datetime.datetime(2016, 9, 13, 16, 3, 43), 'start_time': datetime.datetime(2017, 9, 16, 15, 35, 48), 'rate': 3, 'updated_at': datetime.datetime(2016, 3, 28, 9, 40, 52), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '21b812b0-4cda-46e9-94dc-4de5f0f7c4fe', 'job_description': 'Synergized local local area network', 'start_date': datetime.datetime(2016, 7, 20, 0, 29, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 17, 12, 22, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 30, 2, 39, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8f4a6078-9f52-4325-81d2-1e76b595e03b', 'end_date': datetime.datetime(2014, 9, 10, 2, 49, 46), 'start_time': datetime.datetime(2011, 5, 19, 15, 2, 25), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 8, 4, 59, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '706e29a4-97ee-4430-b383-5367cfe79a15', 'job_description': 'Function-based needs-based capacity', 'start_date': datetime.datetime(2014, 5, 7, 14, 12, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 22, 23, 32, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 10, 15, 39, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f6d025ad-ba31-41f2-9b42-7da92294fbe2', 'end_date': datetime.datetime(2013, 1, 8, 15, 50, 52), 'start_time': datetime.datetime(2014, 5, 1, 8, 43, 56), 'rate': 4, 'updated_at': datetime.datetime(2014, 7, 13, 18, 53, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7372b752-3c54-4d2e-91e9-7ff1a87bc8fa', 'job_description': 'Fully-configurable background concept', 'start_date': datetime.datetime(2019, 5, 8, 12, 16, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 13, 7, 41, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 16, 22, 52, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4da7d4a7-ce97-4396-89eb-45bea48ca223', 'end_date': datetime.datetime(2017, 1, 10, 20, 51, 42), 'start_time': datetime.datetime(2018, 10, 14, 8, 31, 5), 'rate': 4, 'updated_at': datetime.datetime(2017, 9, 9, 16, 22, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c231cf5-b15d-49fe-bddc-771642ed03ff', 'job_description': 'Configurable solution-oriented moratorium', 'start_date': datetime.datetime(2011, 5, 21, 6, 44, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 16, 19, 12, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 18, 18, 18, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2ef799fd-5d8d-4c63-bd37-72997f940632', 'end_date': datetime.datetime(2010, 7, 30, 23, 36, 46), 'start_time': datetime.datetime(2014, 12, 10, 11, 10, 28), 'rate': 2, 'updated_at': datetime.datetime(2017, 6, 24, 15, 34, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '488d4780-d1af-48c1-afed-1ad29893714f', 'job_description': 'Managed 24/7 intranet', 'start_date': datetime.datetime(2019, 6, 29, 21, 47, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 28, 13, 41, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 24, 4, 7, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f9e9616-7e69-4d6e-9ebd-1cce7373202d', 'end_date': datetime.datetime(2016, 10, 16, 18, 42, 14), 'start_time': datetime.datetime(2014, 3, 22, 7, 43, 34), 'rate': 2, 'updated_at': datetime.datetime(2016, 12, 18, 17, 50, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b4913a1-5490-47b7-be21-8e8b1aa5fbcd', 'job_description': 'Realigned intangible hierarchy', 'start_date': datetime.datetime(2013, 11, 17, 3, 18, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 24, 4, 38, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 4, 21, 31, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cba610f9-1791-40a5-9eae-fdd11e4d708b', 'end_date': datetime.datetime(2013, 9, 6, 3, 46, 41), 'start_time': datetime.datetime(2015, 10, 14, 15, 23, 46), 'rate': 5, 'updated_at': datetime.datetime(2015, 4, 27, 16, 13, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ee02ae20-c5b6-4247-bf77-9038ef6f7f8f', 'job_description': 'Business-focused actuating local area network', 'start_date': datetime.datetime(2019, 4, 17, 1, 56, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 19, 20, 40, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 6, 19, 2, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a43823cb-2576-46d6-ba6e-eba0b8f573b0', 'end_date': datetime.datetime(2016, 1, 14, 14, 31, 7), 'start_time': datetime.datetime(2011, 7, 15, 23, 3, 59), 'rate': 4, 'updated_at': datetime.datetime(2010, 12, 14, 1, 9, 46), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '59bb29b0-c9a6-4e19-a48d-cdefaa7ee6b7', 'job_description': 'Business-focused methodical hierarchy', 'start_date': datetime.datetime(2018, 1, 28, 22, 14, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 12, 19, 48, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 27, 7, 23, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb545d12-e600-409c-873e-628f291f1b72', 'end_date': datetime.datetime(2013, 5, 1, 5, 24, 30), 'start_time': datetime.datetime(2010, 7, 10, 10, 45, 46), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 11, 5, 8, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1bcb47a2-68cd-4efd-b144-20810391b749', 'job_description': 'Up-sized solution-oriented methodology', 'start_date': datetime.datetime(2017, 7, 10, 3, 58, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 5, 15, 8, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 13, 20, 20, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fa7af287-438a-41a2-a3ad-2b9948dcf4ed', 'end_date': datetime.datetime(2012, 5, 24, 1, 53, 32), 'start_time': datetime.datetime(2010, 11, 11, 10, 31, 13), 'rate': 4, 'updated_at': datetime.datetime(2010, 12, 3, 20, 52, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9652a1ea-9284-4b93-95d2-e9c77d2d47b0', 'job_description': 'Cloned methodical intranet', 'start_date': datetime.datetime(2010, 7, 31, 14, 29, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 17, 17, 26, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 29, 8, 7, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '40c3c2d4-85fc-4950-b66b-4b1ee84a1a5b', 'end_date': datetime.datetime(2011, 4, 29, 3, 58, 32), 'start_time': datetime.datetime(2010, 8, 8, 16, 31, 48), 'rate': 3, 'updated_at': datetime.datetime(2012, 1, 22, 13, 46, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '210e0ae9-a6ca-4ad3-bc01-371720e0ef73', 'job_description': 'Progressive didactic knowledge user', 'start_date': datetime.datetime(2019, 9, 17, 4, 37, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 26, 13, 35, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 28, 23, 26, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2867fe4e-e336-4a0c-b493-5d71b0e49a97', 'end_date': datetime.datetime(2015, 6, 9, 0, 35, 53), 'start_time': datetime.datetime(2014, 8, 7, 17, 11, 27), 'rate': 2, 'updated_at': datetime.datetime(2013, 3, 2, 12, 4, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd508987f-7d37-46fe-96a4-1d822b6bde03', 'job_description': 'Stand-alone intangible infrastructure', 'start_date': datetime.datetime(2010, 5, 27, 21, 7, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 5, 20, 36, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 26, 5, 7, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ce03db5d-7531-4712-bce6-9b6e54b7969d', 'end_date': datetime.datetime(2018, 1, 17, 19, 55, 27), 'start_time': datetime.datetime(2011, 11, 3, 3, 57, 49), 'rate': 3, 'updated_at': datetime.datetime(2011, 3, 20, 5, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4c564a79-22f7-4d73-8ee0-cb011a09cc9f', 'job_description': 'Extended holistic website', 'start_date': datetime.datetime(2010, 9, 21, 3, 4, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 12, 2, 20, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 7, 14, 16, 16, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9dc713f-90de-4d9e-901e-076521e45322', 'end_date': datetime.datetime(2017, 11, 19, 15, 11, 18), 'start_time': datetime.datetime(2010, 1, 17, 22, 11, 25), 'rate': 4, 'updated_at': datetime.datetime(2012, 8, 28, 2, 59, 22), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b70a03b5-6d3d-4d78-8ac9-532a7f5f1ae4', 'job_description': 'Object-based upward-trending policy', 'start_date': datetime.datetime(2013, 3, 14, 8, 23, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 15, 10, 50, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 9, 15, 36, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b41cd1fe-2e7c-4dfa-a234-891e592bcce6', 'end_date': datetime.datetime(2014, 8, 16, 9, 42, 39), 'start_time': datetime.datetime(2014, 6, 15, 16, 44, 35), 'rate': 5, 'updated_at': datetime.datetime(2012, 10, 25, 20, 35, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Nauru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8ee8f5da-9944-4f14-b914-b526d135b028', 'job_description': 'Versatile executive middleware', 'start_date': datetime.datetime(2013, 11, 13, 1, 25, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 13, 5, 9, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 24, 8, 32, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8717852c-bb45-4b41-91b4-92a05afb4fbb', 'end_date': datetime.datetime(2017, 10, 15, 11, 34, 38), 'start_time': datetime.datetime(2011, 11, 27, 1, 19, 10), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 13, 17, 3, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ac95e883-651e-43fa-a564-24d5b5451ca2', 'job_description': 'Innovative value-added matrix', 'start_date': datetime.datetime(2015, 12, 17, 11, 33, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 14, 0, 31, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 16, 16, 32, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a1313f8e-92e4-43f2-ba71-6efa4e62827e', 'end_date': datetime.datetime(2016, 8, 9, 23, 2, 15), 'start_time': datetime.datetime(2013, 10, 13, 0, 56, 14), 'rate': 4, 'updated_at': datetime.datetime(2019, 7, 4, 21, 45, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3398656e-0df6-4112-b958-f91715533ffc', 'job_description': 'Down-sized dedicated standardization', 'start_date': datetime.datetime(2010, 8, 29, 3, 27, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 11, 23, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 14, 7, 54, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d4bfce9-cabc-40d1-841a-1c220de6f57b', 'end_date': datetime.datetime(2010, 1, 22, 17, 33, 50), 'start_time': datetime.datetime(2018, 10, 18, 12, 57, 14), 'rate': 5, 'updated_at': datetime.datetime(2018, 9, 7, 0, 12, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '02f1b661-fb4f-40c1-99e9-e22acae76853', 'job_description': 'Self-enabling national software', 'start_date': datetime.datetime(2011, 4, 9, 1, 48, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 20, 15, 45, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 4, 11, 14, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'afd8b20f-37ad-453f-9648-35c13940d355', 'end_date': datetime.datetime(2017, 6, 16, 17, 3, 44), 'start_time': datetime.datetime(2019, 8, 19, 15, 16, 11), 'rate': 1, 'updated_at': datetime.datetime(2012, 5, 25, 13, 49, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '943cf9a6-0688-41c9-9c92-435482f5dfb6', 'job_description': 'Customer-focused mobile projection', 'start_date': datetime.datetime(2015, 1, 27, 18, 49, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 4, 9, 47, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 4, 12, 8, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '170586a6-714d-4cb7-b781-2fcd158c214a', 'end_date': datetime.datetime(2014, 6, 9, 10, 48, 50), 'start_time': datetime.datetime(2018, 2, 4, 11, 12, 17), 'rate': 5, 'updated_at': datetime.datetime(2016, 5, 14, 3, 48, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Oman', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4b04cd87-c4c3-4c38-aa74-f23e2f60bad0', 'job_description': 'Enterprise-wide client-server collaboration', 'start_date': datetime.datetime(2011, 6, 14, 22, 10, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 2, 0, 31, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 22, 6, 11, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e86861c9-48f9-4009-b895-8ba157a7cea1', 'end_date': datetime.datetime(2017, 2, 7, 14, 11, 58), 'start_time': datetime.datetime(2014, 10, 6, 19, 1, 55), 'rate': 1, 'updated_at': datetime.datetime(2018, 6, 7, 21, 12, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '907b222a-0de0-4869-8876-acf1ef194067', 'job_description': 'Inverse foreground adapter', 'start_date': datetime.datetime(2013, 6, 10, 14, 20, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 8, 7, 42, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 3, 1, 56, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0799dac9-01d3-420c-a34a-620726e8cb65', 'end_date': datetime.datetime(2016, 4, 19, 18, 46, 54), 'start_time': datetime.datetime(2016, 5, 23, 0, 27, 21), 'rate': 2, 'updated_at': datetime.datetime(2017, 5, 18, 9, 5, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a40b5b74-1d07-4b28-9629-ad1470cb736b', 'job_description': 'Synchronised eco-centric approach', 'start_date': datetime.datetime(2019, 4, 19, 20, 26, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 7, 21, 58, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 22, 23, 35, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '69f394d4-6963-4454-a370-8866f09ddb37', 'end_date': datetime.datetime(2014, 9, 27, 17, 52, 28), 'start_time': datetime.datetime(2016, 10, 24, 7, 10, 8), 'rate': 1, 'updated_at': datetime.datetime(2019, 6, 26, 2, 59, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '250d5552-ad08-43ad-8892-42ce8254339e', 'job_description': 'Function-based grid-enabled toolset', 'start_date': datetime.datetime(2016, 1, 28, 23, 27, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 22, 3, 12, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 4, 21, 3, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4b9f90f6-6b64-4cd0-bcc1-2b79ce44814f', 'end_date': datetime.datetime(2018, 5, 9, 0, 14, 45), 'start_time': datetime.datetime(2015, 11, 22, 22, 37, 53), 'rate': 4, 'updated_at': datetime.datetime(2010, 5, 27, 21, 15, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Angola', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b89c2ba8-73fd-4a03-b626-7dd2c6188c6e', 'job_description': 'Total global customer loyalty', 'start_date': datetime.datetime(2013, 9, 12, 22, 14, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 31, 17, 52, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 3, 5, 53, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '39b88e1d-e6b3-4752-ac07-f6fcddb8b97c', 'end_date': datetime.datetime(2013, 10, 8, 13, 8, 45), 'start_time': datetime.datetime(2012, 10, 23, 0, 39, 36), 'rate': 2, 'updated_at': datetime.datetime(2010, 4, 24, 13, 50, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b051bb21-3855-44c2-80b1-c9bc01f3f0a5', 'job_description': 'Phased foreground framework', 'start_date': datetime.datetime(2012, 11, 27, 0, 26, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 13, 17, 9, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 18, 6, 24, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5208c60e-d1d5-4336-bde9-12dc0b7cac10', 'end_date': datetime.datetime(2010, 10, 12, 6, 49, 29), 'start_time': datetime.datetime(2013, 3, 28, 6, 36, 56), 'rate': 3, 'updated_at': datetime.datetime(2013, 11, 8, 0, 28, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '69829ce8-33d3-4d93-8707-482ef9659d60', 'job_description': 'Robust transitional adapter', 'start_date': datetime.datetime(2012, 10, 1, 20, 7, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 23, 3, 46, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 12, 11, 1, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b46ded06-b9a4-4fcd-98a9-3ee52cd0e542', 'end_date': datetime.datetime(2017, 6, 24, 17, 0, 51), 'start_time': datetime.datetime(2016, 4, 18, 23, 26, 57), 'rate': 4, 'updated_at': datetime.datetime(2011, 9, 12, 4, 57, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Russian Federation', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '68aa5d31-07d0-4b32-9127-e81a3a163f01', 'job_description': 'Progressive content-based capability', 'start_date': datetime.datetime(2018, 10, 3, 14, 9, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 29, 12, 10, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 24, 1, 27, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fa95b108-ceec-44aa-806a-026d29887825', 'end_date': datetime.datetime(2019, 7, 25, 16, 53, 14), 'start_time': datetime.datetime(2016, 9, 9, 11, 16, 4), 'rate': 2, 'updated_at': datetime.datetime(2013, 11, 14, 3, 10, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '09b562ff-49dc-4621-8da8-f425fff1bdbc', 'job_description': 'Cloned local initiative', 'start_date': datetime.datetime(2013, 10, 26, 12, 12, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 27, 2, 47, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 4, 3, 13, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'efcbe924-c892-400d-a61f-32dc6a8d4261', 'end_date': datetime.datetime(2012, 9, 5, 6, 41, 51), 'start_time': datetime.datetime(2010, 1, 12, 9, 29, 26), 'rate': 1, 'updated_at': datetime.datetime(2016, 1, 31, 20, 31, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a3d79aab-4d44-475f-8176-270a35e7dd4e', 'job_description': 'Public-key regional alliance', 'start_date': datetime.datetime(2013, 2, 28, 3, 57, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 30, 19, 58, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 5, 14, 51, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ce0d2a76-c9ef-46a1-9bdb-0e41aa0540fa', 'end_date': datetime.datetime(2010, 6, 30, 18, 12, 55), 'start_time': datetime.datetime(2014, 10, 11, 14, 48, 13), 'rate': 2, 'updated_at': datetime.datetime(2011, 3, 1, 13, 3, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7afc0c6d-c7a2-4cf5-8a2e-4e9f8f0e7add', 'job_description': 'Assimilated assymetric Graphical User Interface', 'start_date': datetime.datetime(2015, 12, 30, 1, 25, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 22, 2, 25, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 14, 8, 39, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c0b142fb-17f0-450d-8a21-e405c0ad72eb', 'end_date': datetime.datetime(2011, 2, 7, 20, 24, 53), 'start_time': datetime.datetime(2018, 12, 5, 15, 54, 48), 'rate': 5, 'updated_at': datetime.datetime(2012, 2, 29, 23, 35, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8b224f2b-0da7-42b2-a22c-5fa142947c4a', 'job_description': 'Fundamental mission-critical capacity', 'start_date': datetime.datetime(2017, 11, 7, 18, 47, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 22, 23, 26, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 14, 9, 59, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cbc52170-659b-44f3-9ab7-f9bb24a063fb', 'end_date': datetime.datetime(2010, 9, 23, 15, 49, 5), 'start_time': datetime.datetime(2019, 6, 19, 10, 43), 'rate': 3, 'updated_at': datetime.datetime(2013, 6, 9, 11, 28, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2874a0d3-20b0-408a-8607-8458fc718222', 'job_description': 'Digitized clear-thinking array', 'start_date': datetime.datetime(2017, 7, 11, 19, 9, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 1, 8, 41, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 7, 0, 20, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e0e22b5-3c59-4846-91a8-a3e2cb8cf500', 'end_date': datetime.datetime(2012, 2, 13, 17, 58, 40), 'start_time': datetime.datetime(2016, 9, 30, 17, 29, 48), 'rate': 2, 'updated_at': datetime.datetime(2010, 6, 5, 5, 40, 6), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'efe59cc6-acdb-4d26-a2e3-1b3abceda163', 'job_description': 'Cloned coherent moderator', 'start_date': datetime.datetime(2013, 8, 13, 7, 24, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 25, 18, 35, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 1, 14, 47, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5871a88-1e58-4be2-bcf1-51912c035f75', 'end_date': datetime.datetime(2014, 6, 26, 10, 27, 41), 'start_time': datetime.datetime(2017, 9, 4, 17, 46, 6), 'rate': 2, 'updated_at': datetime.datetime(2013, 10, 26, 0, 43, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '07906f9f-dd0d-4a35-92e5-250cda5fe42c', 'job_description': 'Ergonomic object-oriented productivity', 'start_date': datetime.datetime(2013, 8, 3, 20, 26, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 1, 1, 45, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 18, 8, 26, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e6a01f58-e65e-4b56-988b-39dd822257fb', 'end_date': datetime.datetime(2012, 9, 3, 10, 6, 7), 'start_time': datetime.datetime(2014, 4, 11, 9, 50, 12), 'rate': 1, 'updated_at': datetime.datetime(2010, 11, 26, 18, 35, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd0f9baec-37c1-4683-813c-cc1e8a46791c', 'job_description': 'Fundamental bifurcated orchestration', 'start_date': datetime.datetime(2012, 7, 7, 6, 13, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 3, 11, 6, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 11, 12, 52, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b84748ea-159b-4510-87dc-a52d29edc65f', 'end_date': datetime.datetime(2019, 8, 2, 13, 59, 39), 'start_time': datetime.datetime(2015, 7, 14, 19, 48, 28), 'rate': 4, 'updated_at': datetime.datetime(2010, 10, 13, 2, 32, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd0316bd5-5c94-44e4-b262-f60742324810', 'job_description': 'Grass-roots intangible concept', 'start_date': datetime.datetime(2011, 5, 22, 17, 57, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 22, 8, 15, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 25, 17, 2, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5f187f86-c2d7-44a0-9fe9-5244f8463418', 'end_date': datetime.datetime(2016, 1, 21, 19, 2, 14), 'start_time': datetime.datetime(2013, 4, 27, 6, 43, 8), 'rate': 5, 'updated_at': datetime.datetime(2018, 12, 2, 14, 6, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b0652795-58ab-437d-b5ab-b9fc8e0114f7', 'job_description': 'Devolved executive process improvement', 'start_date': datetime.datetime(2017, 2, 28, 9, 36, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 5, 15, 13, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 25, 16, 53, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f3590636-4cd4-4999-aa08-097eda38c6ab', 'end_date': datetime.datetime(2016, 6, 13, 21, 59, 58), 'start_time': datetime.datetime(2010, 11, 6, 6, 10, 6), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 4, 20, 13, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '19bafe72-7616-4fa5-b8bc-4eac16ff8b5a', 'job_description': 'Proactive bifurcated open architecture', 'start_date': datetime.datetime(2016, 5, 15, 10, 45, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 22, 12, 2, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 9, 8, 55, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8436c48f-db22-4c57-9f57-c0bfebc46e2a', 'end_date': datetime.datetime(2015, 7, 1, 17, 48, 14), 'start_time': datetime.datetime(2015, 1, 31, 13, 20, 8), 'rate': 2, 'updated_at': datetime.datetime(2013, 2, 20, 10, 41, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b5fa913a-e8d4-453a-8d58-73cb872efce8', 'job_description': 'Digitized exuding budgetary management', 'start_date': datetime.datetime(2019, 1, 8, 10, 39, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 20, 0, 30, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 12, 9, 11, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9c3ba979-0b39-49f2-8c77-98fd43d11410', 'end_date': datetime.datetime(2015, 8, 8, 22, 3, 18), 'start_time': datetime.datetime(2018, 8, 2, 13, 21, 54), 'rate': 5, 'updated_at': datetime.datetime(2010, 11, 8, 10, 30, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c4d55c97-1eec-4a7d-ae3c-3622bf5221b3', 'job_description': 'Mandatory holistic structure', 'start_date': datetime.datetime(2019, 11, 3, 2, 23, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 22, 23, 15, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 3, 11, 36, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3b157459-7305-4f84-9b05-74f6f67defa7', 'end_date': datetime.datetime(2013, 9, 28, 17, 19, 12), 'start_time': datetime.datetime(2018, 6, 10, 14, 10, 13), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 3, 17, 2, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7aa2012f-2d48-4725-94eb-96b725ddc6ba', 'job_description': 'Phased reciprocal synergy', 'start_date': datetime.datetime(2012, 1, 7, 2, 35, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 13, 21, 10, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 12, 20, 32, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4fa5befc-677a-4183-903b-01f9b909bc41', 'end_date': datetime.datetime(2013, 11, 9, 0, 37, 50), 'start_time': datetime.datetime(2015, 7, 30, 8, 18, 16), 'rate': 1, 'updated_at': datetime.datetime(2017, 11, 17, 6, 34, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '03daa5a2-38aa-40ba-89f9-bf34c44d58c3', 'job_description': 'Cloned optimizing moderator', 'start_date': datetime.datetime(2015, 8, 6, 13, 13, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 19, 10, 22, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 14, 9, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc5d2744-9f52-4eea-b6ef-7a01a9e256f6', 'end_date': datetime.datetime(2011, 1, 16, 7, 14, 27), 'start_time': datetime.datetime(2014, 6, 20, 10, 11, 1), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 30, 11, 35, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8f6546fa-dc56-49a5-b830-a6b29087083e', 'job_description': 'Streamlined content-based hierarchy', 'start_date': datetime.datetime(2014, 11, 24, 5, 17, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 31, 15, 28, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 14, 3, 25, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b6b919b4-599b-4a36-a741-0ce18de5aef8', 'end_date': datetime.datetime(2013, 10, 8, 16, 5, 12), 'start_time': datetime.datetime(2016, 1, 27, 1, 0, 51), 'rate': 1, 'updated_at': datetime.datetime(2013, 12, 31, 20, 33, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e4af42ef-4553-4014-a849-361786904b8e', 'job_description': 'Realigned zero administration Graphic Interface', 'start_date': datetime.datetime(2011, 9, 3, 14, 44, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 22, 0, 13, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 26, 10, 23, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d22dc32-0f10-43f6-90cc-c34696f5d2b8', 'end_date': datetime.datetime(2016, 2, 15, 5, 23, 7), 'start_time': datetime.datetime(2011, 12, 21, 17, 28, 28), 'rate': 2, 'updated_at': datetime.datetime(2012, 4, 27, 14, 35, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2a9b0b0e-c283-4ebd-932a-73f590c7d3ef', 'job_description': 'Reverse-engineered real-time workforce', 'start_date': datetime.datetime(2016, 9, 2, 6, 11, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 31, 9, 27, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 2, 3, 20, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '847a32d3-9988-4bfa-b8e0-1464d6d3c0cf', 'end_date': datetime.datetime(2018, 9, 21, 1, 21, 7), 'start_time': datetime.datetime(2010, 8, 1, 9, 7, 28), 'rate': 5, 'updated_at': datetime.datetime(2011, 8, 10, 18, 34, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Holy See (Vatican City State)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a4e194e0-53cb-43d1-84b9-0b95b433a8e3', 'job_description': 'Networked dedicated focus group', 'start_date': datetime.datetime(2015, 11, 14, 7, 43, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 29, 3, 50, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 24, 15, 14, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '88c3cd17-f577-41b3-b114-cdccfefa02e8', 'end_date': datetime.datetime(2013, 12, 16, 12, 10, 32), 'start_time': datetime.datetime(2012, 2, 8, 21, 21, 5), 'rate': 3, 'updated_at': datetime.datetime(2015, 7, 25, 8, 2, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Germany', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b130f188-cd96-43fd-992b-9ce7545157a3', 'job_description': 'Customer-focused client-server conglomeration', 'start_date': datetime.datetime(2018, 2, 22, 13, 45, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 4, 8, 17, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 16, 2, 46, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0702f145-f630-46a8-a486-b624020f0550', 'end_date': datetime.datetime(2015, 5, 6, 20, 48, 14), 'start_time': datetime.datetime(2017, 7, 13, 1, 58, 46), 'rate': 2, 'updated_at': datetime.datetime(2012, 7, 30, 15, 54, 56), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c4e3ecf3-a148-48f2-bb01-eb9829ac3f9e', 'job_description': 'Seamless uniform definition', 'start_date': datetime.datetime(2012, 5, 31, 18, 7, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 28, 0, 39, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 2, 4, 56, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ad496c6b-da7b-4aa8-9f3e-67931e0c5e10', 'end_date': datetime.datetime(2016, 4, 6, 20, 9, 37), 'start_time': datetime.datetime(2012, 12, 3, 21, 44, 27), 'rate': 5, 'updated_at': datetime.datetime(2010, 3, 4, 4, 36, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8cc8f9a4-6acf-4f98-b8a4-c0d7ed3ee02d', 'job_description': 'Exclusive global architecture', 'start_date': datetime.datetime(2015, 8, 7, 8, 50, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 3, 12, 11, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 29, 4, 20, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3591b036-9f52-4997-941d-54a94e8e6ef1', 'end_date': datetime.datetime(2012, 1, 18, 16, 34, 32), 'start_time': datetime.datetime(2018, 5, 8, 22, 57, 15), 'rate': 1, 'updated_at': datetime.datetime(2012, 12, 20, 1, 40, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e4030eb0-ad6d-4c91-a13f-55a55cd4b218', 'job_description': 'Multi-channelled 3rd generation architecture', 'start_date': datetime.datetime(2019, 7, 14, 4, 35, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 17, 21, 54, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 17, 18, 6, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ff44e4c6-45cb-4a7e-a40a-8a4bdc281d3a', 'end_date': datetime.datetime(2011, 4, 8, 14, 30, 1), 'start_time': datetime.datetime(2018, 12, 29, 4, 57, 35), 'rate': 3, 'updated_at': datetime.datetime(2011, 11, 30, 12, 4, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '466952b1-fdbb-468f-b635-23f9b23d768a', 'job_description': 'Polarised static task-force', 'start_date': datetime.datetime(2019, 3, 13, 4, 18, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 10, 12, 52, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 5, 18, 50, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '04a4920f-238d-4bca-90ae-43dc8126aa9e', 'end_date': datetime.datetime(2010, 5, 1, 12, 11, 23), 'start_time': datetime.datetime(2017, 6, 4, 0, 28, 11), 'rate': 5, 'updated_at': datetime.datetime(2016, 5, 8, 11, 11, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Serbia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cbc65ecd-ac0f-4074-86fb-a48d44f2d448', 'job_description': 'Public-key leading edge hub', 'start_date': datetime.datetime(2018, 10, 6, 18, 38, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 24, 15, 44, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 11, 16, 17, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '33155fff-e875-4d4d-b76e-7b9171334b7a', 'end_date': datetime.datetime(2014, 8, 31, 1, 37, 49), 'start_time': datetime.datetime(2013, 4, 11, 0, 1, 50), 'rate': 1, 'updated_at': datetime.datetime(2010, 7, 6, 17, 2, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6919dc5f-1f65-41fc-b821-a0c1eee82022', 'job_description': 'Versatile coherent toolset', 'start_date': datetime.datetime(2012, 7, 19, 18, 29, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 26, 1, 38, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 28, 17, 57, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6d6e756e-7063-48ca-b572-5ac8d0203d77', 'end_date': datetime.datetime(2011, 4, 13, 13, 38, 3), 'start_time': datetime.datetime(2016, 9, 5, 0, 16, 16), 'rate': 1, 'updated_at': datetime.datetime(2015, 9, 21, 20, 57, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Czech Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '51212e43-0f58-4dee-9852-96839fc281d2', 'job_description': 'Multi-channelled client-server projection', 'start_date': datetime.datetime(2018, 11, 29, 2, 28, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 25, 22, 23, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 1, 15, 26, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8218e203-c6a9-4662-a616-3fd21d2436bd', 'end_date': datetime.datetime(2013, 6, 17, 23, 35, 58), 'start_time': datetime.datetime(2018, 11, 19, 1, 47, 34), 'rate': 3, 'updated_at': datetime.datetime(2017, 8, 30, 11, 28, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8d7172a1-9901-428d-a4b9-734df47fa297', 'job_description': 'Open-source radical service-desk', 'start_date': datetime.datetime(2014, 7, 29, 15, 31, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 23, 3, 36, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 25, 16, 10, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '898501c5-061e-4e12-8970-63de8fbd04e2', 'end_date': datetime.datetime(2014, 4, 2, 10, 57), 'start_time': datetime.datetime(2012, 3, 16, 22, 16, 20), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 18, 1, 16, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ef545ab2-6d57-40e1-b3c8-5f732be75ad3', 'job_description': 'Adaptive well-modulated data-warehouse', 'start_date': datetime.datetime(2019, 11, 29, 5, 28, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 13, 3, 13, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 27, 2, 52, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd6e314ef-69cc-4c82-85b6-53dd3fc83864', 'end_date': datetime.datetime(2014, 9, 24, 2, 6, 11), 'start_time': datetime.datetime(2012, 7, 2, 8, 31, 54), 'rate': 1, 'updated_at': datetime.datetime(2010, 9, 12, 0, 53, 9), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '919953a6-ff72-43b1-bcd8-d622d3ad2e42', 'job_description': 'Reactive uniform website', 'start_date': datetime.datetime(2013, 9, 8, 3, 5, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 26, 10, 59, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 20, 19, 42, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '92aff91a-277f-44c8-961a-21eb0a0749bf', 'end_date': datetime.datetime(2019, 2, 13, 23, 17, 3), 'start_time': datetime.datetime(2013, 6, 24, 22, 16, 33), 'rate': 5, 'updated_at': datetime.datetime(2016, 12, 16, 5, 52, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Botswana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cee47dee-3219-4c97-9816-c4ba8f2b46a6', 'job_description': 'Centralized upward-trending strategy', 'start_date': datetime.datetime(2015, 8, 6, 14, 18, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 10, 7, 45, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 2, 17, 30, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '399be528-40ad-44fd-a4a7-6b7938e61ac6', 'end_date': datetime.datetime(2011, 4, 18, 20, 27, 27), 'start_time': datetime.datetime(2016, 9, 12, 2, 54, 50), 'rate': 4, 'updated_at': datetime.datetime(2013, 4, 12, 23, 48, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '58f31aa0-2f93-46e1-a116-bd0bd51c6bd3', 'job_description': 'Sharable reciprocal support', 'start_date': datetime.datetime(2018, 3, 24, 15, 44, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 16, 20, 52, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 17, 6, 13, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c64e1d56-395b-4e5b-9d09-cd460a72493e', 'end_date': datetime.datetime(2018, 6, 26, 3, 28, 31), 'start_time': datetime.datetime(2013, 5, 25, 23, 27, 55), 'rate': 3, 'updated_at': datetime.datetime(2016, 11, 26, 14, 46, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6fe696b0-6883-48e1-9349-34a8acc60bdf', 'job_description': 'Seamless fault-tolerant secured line', 'start_date': datetime.datetime(2017, 6, 18, 18, 5, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 1, 20, 30, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 25, 5, 15, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '48eeeb66-23cb-4f83-af52-1a97757d1573', 'end_date': datetime.datetime(2010, 12, 14, 1, 16, 33), 'start_time': datetime.datetime(2014, 4, 1, 2, 59, 15), 'rate': 2, 'updated_at': datetime.datetime(2019, 2, 16, 14, 42, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '856ed274-e78d-4e69-85af-f0c5927789cc', 'job_description': 'Focused high-level policy', 'start_date': datetime.datetime(2015, 3, 29, 0, 24, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 25, 9, 4, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 17, 5, 41, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '65b5b075-48f7-473a-a6dd-1ebae88b4597', 'end_date': datetime.datetime(2019, 3, 18, 10, 7, 4), 'start_time': datetime.datetime(2017, 7, 7, 15, 35, 37), 'rate': 3, 'updated_at': datetime.datetime(2012, 2, 4, 18, 41, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '848bc3da-0b91-4429-baec-539e65545c2a', 'job_description': 'Multi-layered asynchronous extranet', 'start_date': datetime.datetime(2012, 6, 7, 1, 37, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 22, 9, 50, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 21, 18, 44, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f37cbb95-885a-4af4-b6b7-bf0c17e79127', 'end_date': datetime.datetime(2014, 8, 7, 17, 21, 51), 'start_time': datetime.datetime(2018, 6, 18, 12, 23, 23), 'rate': 2, 'updated_at': datetime.datetime(2018, 12, 26, 2, 35, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b38d6b07-a60e-4dda-9e91-5cf5250e0a1f', 'job_description': 'Stand-alone clear-thinking software', 'start_date': datetime.datetime(2012, 4, 30, 14, 26, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 22, 20, 49, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 14, 20, 5, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd4f3c65e-d6ce-4e06-b707-c65360617792', 'end_date': datetime.datetime(2016, 1, 4, 2, 52, 41), 'start_time': datetime.datetime(2013, 5, 5, 6, 45, 10), 'rate': 2, 'updated_at': datetime.datetime(2016, 4, 12, 6, 23, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '32f33958-17ff-4465-b43e-42076da3bed3', 'job_description': 'Persevering scalable success', 'start_date': datetime.datetime(2017, 6, 26, 15, 21, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 31, 20, 4, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 4, 4, 37, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6cc6c704-73df-4a2f-b9d0-f5736f4876d1', 'end_date': datetime.datetime(2014, 5, 13, 12, 49, 48), 'start_time': datetime.datetime(2017, 12, 18, 17, 49, 59), 'rate': 4, 'updated_at': datetime.datetime(2019, 10, 21, 4, 28, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5651b9c4-4a69-45c6-a567-c69da4689ec4', 'job_description': 'Focused multi-tasking time-frame', 'start_date': datetime.datetime(2014, 1, 4, 4, 32, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 14, 10, 45, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 11, 16, 55, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7337b9d1-80aa-4d00-a26d-6b60f057379e', 'end_date': datetime.datetime(2011, 12, 12, 9, 59, 4), 'start_time': datetime.datetime(2014, 1, 30, 23, 34, 48), 'rate': 4, 'updated_at': datetime.datetime(2015, 11, 4, 15, 53, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd18fe5b0-2c4c-4290-b44e-f4923e5f8698', 'job_description': 'Stand-alone system-worthy paradigm', 'start_date': datetime.datetime(2013, 8, 23, 2, 26, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 12, 3, 22, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 4, 15, 32, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '38ce7704-4170-4232-b95f-67fa27b717ff', 'end_date': datetime.datetime(2010, 11, 18, 21, 17, 51), 'start_time': datetime.datetime(2010, 10, 23, 14, 11, 7), 'rate': 4, 'updated_at': datetime.datetime(2019, 8, 5, 21, 44, 6), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bb1ed90c-4741-4039-8412-b1a2092f47b4', 'job_description': 'Fully-configurable secondary implementation', 'start_date': datetime.datetime(2012, 11, 19, 14, 5, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 11, 4, 25, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 16, 1, 18, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5f75f8c2-34d6-4511-8e11-be0a4a36ed8a', 'end_date': datetime.datetime(2014, 1, 25, 21, 10, 27), 'start_time': datetime.datetime(2016, 7, 25, 15, 40, 18), 'rate': 5, 'updated_at': datetime.datetime(2010, 3, 8, 21, 4, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4ea5d03f-fcc6-4ef2-9081-e75344e15903', 'job_description': 'Open-architected bi-directional knowledge base', 'start_date': datetime.datetime(2013, 9, 21, 18, 23, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 30, 15, 5, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 13, 13, 11, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b5905621-ba24-4f5e-a43b-bfaa47eb444f', 'end_date': datetime.datetime(2014, 9, 30, 17, 32, 59), 'start_time': datetime.datetime(2017, 6, 8, 17, 23, 33), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 27, 23, 32, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f6566783-92e6-43fb-ab4f-3a4db3d96754', 'job_description': 'Devolved multi-state functionalities', 'start_date': datetime.datetime(2014, 5, 21, 15, 3, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 27, 2, 33, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 21, 17, 50, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '99ef5fa4-9e92-4704-9548-26464d96804a', 'end_date': datetime.datetime(2013, 8, 21, 21, 42, 22), 'start_time': datetime.datetime(2016, 8, 24, 6, 52, 19), 'rate': 3, 'updated_at': datetime.datetime(2014, 10, 28, 12, 56, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'da77a782-f36e-4efd-b4cc-6f6a1f36f926', 'job_description': 'Up-sized directional archive', 'start_date': datetime.datetime(2014, 10, 5, 14, 30, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 16, 3, 48, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 2, 2, 20, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dd3afd9f-5fa6-4a69-bd51-4675f5b164bc', 'end_date': datetime.datetime(2018, 5, 1, 10, 2, 23), 'start_time': datetime.datetime(2013, 8, 14, 2, 0, 8), 'rate': 5, 'updated_at': datetime.datetime(2010, 7, 16, 16, 59, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5137f1e7-54b0-4af3-a09f-5c0d0e5f5cff', 'job_description': 'Face to face bandwidth-monitored implementation', 'start_date': datetime.datetime(2018, 3, 18, 3, 59, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 28, 18, 46, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 4, 2, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2cacbf5d-b711-4ec6-b8b4-74f2fe092e64', 'end_date': datetime.datetime(2011, 3, 12, 15, 29, 56), 'start_time': datetime.datetime(2014, 2, 22, 10, 25, 33), 'rate': 1, 'updated_at': datetime.datetime(2014, 12, 8, 19, 6, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f22bc591-213b-4184-9cd3-2dfd9fb8d6a0', 'job_description': 'Right-sized asynchronous standardization', 'start_date': datetime.datetime(2011, 6, 25, 15, 16, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 17, 6, 11, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 17, 4, 10, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'daa3c663-a2e6-40f2-af2c-de4f97bdd41d', 'end_date': datetime.datetime(2013, 2, 10, 2, 7, 25), 'start_time': datetime.datetime(2019, 7, 25, 23, 31, 35), 'rate': 3, 'updated_at': datetime.datetime(2017, 2, 2, 8, 32, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f1fb742a-9890-400f-94c9-817b28aa6cf2', 'job_description': 'Down-sized interactive firmware', 'start_date': datetime.datetime(2012, 2, 1, 4, 17, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 13, 0, 36, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 28, 22, 10, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd8c4ac4c-40f8-49db-9b25-95c075ee0342', 'end_date': datetime.datetime(2010, 6, 20, 12, 32, 14), 'start_time': datetime.datetime(2013, 1, 25, 10, 38, 14), 'rate': 5, 'updated_at': datetime.datetime(2016, 4, 21, 10, 34, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2c77d7f8-de47-4b15-8c32-a8b0890b3e95', 'job_description': 'Cloned needs-based utilisation', 'start_date': datetime.datetime(2010, 3, 14, 3, 59, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 3, 1, 53, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 10, 10, 39, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '65c9a5bb-8056-4cbc-86f3-ba1d58a0c32f', 'end_date': datetime.datetime(2015, 3, 14, 2, 31, 15), 'start_time': datetime.datetime(2017, 9, 20, 22, 51, 42), 'rate': 5, 'updated_at': datetime.datetime(2015, 2, 14, 9, 58, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3b859de0-40ef-4291-9bbe-58be7f7e849e', 'job_description': 'Adaptive system-worthy system engine', 'start_date': datetime.datetime(2017, 1, 13, 3, 11, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 15, 3, 56, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 13, 16, 14, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b3cff306-a6e2-4b89-a97b-9d7c10684b0d', 'end_date': datetime.datetime(2017, 1, 6, 5, 16, 22), 'start_time': datetime.datetime(2019, 4, 9, 23, 10, 11), 'rate': 2, 'updated_at': datetime.datetime(2018, 10, 29, 10, 25, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Bermuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '80e66e20-28ce-4b7f-94e6-a3babcb20a8c', 'job_description': 'Self-enabling motivating capacity', 'start_date': datetime.datetime(2017, 10, 16, 8, 43, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 3, 17, 55, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 18, 3, 24, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fce89a17-b608-4d9f-8d74-37cb3d1dbc8f', 'end_date': datetime.datetime(2012, 11, 12, 1, 0), 'start_time': datetime.datetime(2013, 10, 31, 19, 1, 14), 'rate': 4, 'updated_at': datetime.datetime(2011, 9, 21, 0, 31, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Heard Island and McDonald Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ea90ddf0-acf5-4a17-9c5e-25da87927dfd', 'job_description': 'Proactive dynamic database', 'start_date': datetime.datetime(2014, 2, 2, 8, 1, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 9, 8, 54, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 22, 12, 39, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb7f0b3d-e1bb-4b30-99c4-2e8de5abd38c', 'end_date': datetime.datetime(2010, 5, 8, 11, 27, 25), 'start_time': datetime.datetime(2018, 2, 9, 21, 52, 29), 'rate': 3, 'updated_at': datetime.datetime(2017, 10, 7, 22, 4, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Martinique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eaeda03d-97cf-46b8-bea7-a63934db2dee', 'job_description': 'Vision-oriented stable time-frame', 'start_date': datetime.datetime(2012, 11, 28, 11, 23, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 25, 19, 24, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 8, 10, 31, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '18b0002b-f27e-42ba-ab3c-e1eca7366844', 'end_date': datetime.datetime(2016, 1, 16, 7, 13, 27), 'start_time': datetime.datetime(2014, 12, 10, 10, 18, 18), 'rate': 3, 'updated_at': datetime.datetime(2017, 4, 14, 4, 51, 34), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd1dcfb3f-15c7-4d0b-a644-1a2a06cdd5b4', 'job_description': 'Profound zero defect portal', 'start_date': datetime.datetime(2016, 12, 28, 8, 51, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 27, 3, 14, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 21, 16, 27, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '23523e82-f508-4837-b2be-937cf60a36bd', 'end_date': datetime.datetime(2011, 10, 3, 2, 2, 59), 'start_time': datetime.datetime(2013, 7, 8, 10, 18, 56), 'rate': 1, 'updated_at': datetime.datetime(2018, 11, 6, 3, 9, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a5712b33-4a77-40e6-a14c-5196b407d63e', 'job_description': 'Robust radical strategy', 'start_date': datetime.datetime(2018, 4, 12, 12, 32, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 30, 16, 18, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 13, 12, 1, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b368685b-0825-4b91-a0b9-87d0c94bd8ee', 'end_date': datetime.datetime(2013, 2, 13, 9, 31, 41), 'start_time': datetime.datetime(2012, 3, 31, 23, 26, 39), 'rate': 4, 'updated_at': datetime.datetime(2018, 2, 6, 9, 25, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Belgium', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3d9e4fb4-f6bf-4ba6-a77a-6ee143072d91', 'job_description': 'Optimized heuristic service-desk', 'start_date': datetime.datetime(2011, 11, 1, 9, 20, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 30, 13, 45, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 15, 16, 11, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b2424a94-7612-4bc4-ab54-408572e81824', 'end_date': datetime.datetime(2017, 4, 18, 17, 37, 39), 'start_time': datetime.datetime(2015, 1, 10, 10, 1, 6), 'rate': 2, 'updated_at': datetime.datetime(2014, 10, 5, 8, 19, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd72c4078-8949-4dc6-95ad-7bfba49195ec', 'job_description': 'Integrated bandwidth-monitored superstructure', 'start_date': datetime.datetime(2013, 9, 6, 8, 49, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 12, 8, 43, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 27, 10, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'caaae321-8f54-4dbb-a1ce-a7a7f9f76f52', 'end_date': datetime.datetime(2015, 6, 3, 22, 9, 28), 'start_time': datetime.datetime(2016, 11, 18, 0, 57, 25), 'rate': 2, 'updated_at': datetime.datetime(2012, 10, 23, 13, 59, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '329922a4-645b-4886-be74-87d6feeba87a', 'job_description': 'Synchronised well-modulated focus group', 'start_date': datetime.datetime(2010, 12, 2, 22, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 17, 9, 37, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 30, 18, 44, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e3b6419b-19d1-4a39-ab9c-bd58f2f0d3c2', 'end_date': datetime.datetime(2013, 8, 2, 12, 46, 35), 'start_time': datetime.datetime(2013, 5, 4, 6, 24, 57), 'rate': 1, 'updated_at': datetime.datetime(2017, 10, 22, 7, 38, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd2c99797-5942-4b00-864b-b7a7292088a3', 'job_description': 'Cloned foreground focus group', 'start_date': datetime.datetime(2014, 12, 24, 8, 16, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 21, 12, 46, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 12, 8, 29, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2a6a39b-91dc-4535-991e-dfff06b2481a', 'end_date': datetime.datetime(2012, 12, 31, 1, 28, 14), 'start_time': datetime.datetime(2013, 9, 18, 5, 24, 24), 'rate': 4, 'updated_at': datetime.datetime(2015, 8, 14, 18, 42, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2d17c927-4f2d-4335-860c-63db3fa85dcb', 'job_description': 'Public-key user-facing architecture', 'start_date': datetime.datetime(2012, 9, 5, 11, 35, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 24, 14, 20, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 18, 5, 38, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '48c90e7b-d1d5-46e6-93f3-312c65a7438b', 'end_date': datetime.datetime(2011, 4, 14, 12, 27, 51), 'start_time': datetime.datetime(2010, 12, 26, 0, 1, 45), 'rate': 3, 'updated_at': datetime.datetime(2011, 11, 22, 12, 53, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '360f9fcd-dc2f-4f38-bf65-b2c456983c64', 'job_description': 'Up-sized holistic task-force', 'start_date': datetime.datetime(2019, 1, 17, 9, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 3, 23, 56, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 23, 7, 20, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1c595e45-7604-431d-9eb1-8e6340b1c1e5', 'end_date': datetime.datetime(2014, 12, 8, 14, 43, 39), 'start_time': datetime.datetime(2014, 1, 17, 11, 36, 52), 'rate': 2, 'updated_at': datetime.datetime(2019, 9, 28, 0, 20, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3e0f5c87-0bf5-4c56-a47b-3d0a34ce2b27', 'job_description': 'Advanced value-added monitoring', 'start_date': datetime.datetime(2017, 1, 26, 15, 54, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 22, 1, 20, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 30, 23, 4, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb474de5-5f38-4951-92e7-49e3303fab7a', 'end_date': datetime.datetime(2017, 3, 29, 17, 29, 10), 'start_time': datetime.datetime(2011, 11, 28, 13, 25, 12), 'rate': 2, 'updated_at': datetime.datetime(2012, 5, 18, 17, 5, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '38b8280d-4076-493a-a223-3f8e2cfc8c91', 'job_description': 'Extended human-resource benchmark', 'start_date': datetime.datetime(2012, 10, 28, 16, 14, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 11, 10, 8, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 9, 14, 50, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '82ca75f9-ce8e-4ebf-9fa6-faf600397099', 'end_date': datetime.datetime(2013, 8, 29, 9, 53, 13), 'start_time': datetime.datetime(2018, 8, 5, 2, 51, 16), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 5, 6, 19, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Peru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e9757dfa-7d80-432c-a852-19d9f9831c4b', 'job_description': 'Automated bi-directional methodology', 'start_date': datetime.datetime(2016, 1, 28, 0, 38, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 20, 19, 46, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 6, 13, 34, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '34f2862c-a12d-44f5-912d-ae147d6056c8', 'end_date': datetime.datetime(2016, 2, 3, 21, 12, 27), 'start_time': datetime.datetime(2011, 2, 8, 12, 36, 19), 'rate': 3, 'updated_at': datetime.datetime(2018, 9, 22, 2, 56, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8e131638-3c75-4e90-92a1-67ab6de8b218', 'job_description': 'Ameliorated 3rd generation paradigm', 'start_date': datetime.datetime(2015, 6, 23, 23, 12, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 24, 4, 27, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 13, 9, 11, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e7747fc-f104-4953-8b6b-ffd15b195c0b', 'end_date': datetime.datetime(2010, 6, 15, 7, 26, 8), 'start_time': datetime.datetime(2015, 9, 2, 3, 8, 32), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 14, 7, 22, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6749b42a-71cd-45b7-ac4e-c340da352ec4', 'job_description': 'Operative motivating success', 'start_date': datetime.datetime(2015, 11, 10, 12, 5, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 11, 14, 27, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 21, 7, 47, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b2427e6-07c7-434d-a7fd-9f18b16aca49', 'end_date': datetime.datetime(2019, 5, 14, 20, 15, 9), 'start_time': datetime.datetime(2015, 7, 29, 19, 32, 4), 'rate': 1, 'updated_at': datetime.datetime(2019, 8, 2, 12, 24, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Isle of Man', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b0f5459e-df74-4f38-b278-c637572ddee0', 'job_description': 'Implemented optimizing contingency', 'start_date': datetime.datetime(2018, 11, 18, 2, 40, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 29, 17, 28, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 20, 23, 13, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3a06d4cb-6cd2-4c30-abb9-66f67fffd81a', 'end_date': datetime.datetime(2012, 4, 15, 14, 57, 58), 'start_time': datetime.datetime(2016, 11, 14, 5, 10, 42), 'rate': 1, 'updated_at': datetime.datetime(2014, 5, 21, 0, 56, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Tuvalu', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5d94b9f1-0767-4ad6-a6ef-88c69ac69d21', 'job_description': 'Public-key secondary knowledge user', 'start_date': datetime.datetime(2010, 7, 13, 0, 19, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 29, 23, 22, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 7, 14, 17, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '22b4436e-3e18-4d2e-acd6-c4ca73e481ec', 'end_date': datetime.datetime(2017, 1, 20, 6, 5, 44), 'start_time': datetime.datetime(2011, 10, 13, 4, 56, 39), 'rate': 1, 'updated_at': datetime.datetime(2010, 10, 12, 15, 33, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2cc17a2c-70fc-4c26-93d3-730129d2b7ff', 'job_description': 'Mandatory local superstructure', 'start_date': datetime.datetime(2012, 11, 16, 18, 0, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 21, 23, 5, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 27, 14, 47, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb968929-0465-4735-aa71-38f19a9b0f42', 'end_date': datetime.datetime(2012, 2, 9, 13, 56, 49), 'start_time': datetime.datetime(2012, 9, 29, 20, 36, 26), 'rate': 3, 'updated_at': datetime.datetime(2016, 2, 29, 2, 9, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '46ad2ed3-35d1-41ba-94a2-b88755f91474', 'job_description': 'Self-enabling bi-directional open system', 'start_date': datetime.datetime(2015, 7, 24, 8, 21, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 3, 2, 34, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 4, 6, 3, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bfaaee36-05a6-4700-9709-78f2154e3f04', 'end_date': datetime.datetime(2011, 11, 29, 22, 21, 14), 'start_time': datetime.datetime(2013, 6, 25, 3, 31, 12), 'rate': 1, 'updated_at': datetime.datetime(2018, 10, 11, 10, 55, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3f060715-0050-476d-950c-f5e36ded47df', 'job_description': 'Reduced methodical conglomeration', 'start_date': datetime.datetime(2012, 4, 23, 11, 34, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 1, 3, 22, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 7, 20, 11, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ec601a6b-85fe-43e6-889d-f8e2e8e9a960', 'end_date': datetime.datetime(2011, 9, 28, 6, 46, 13), 'start_time': datetime.datetime(2012, 1, 15, 4, 39, 18), 'rate': 4, 'updated_at': datetime.datetime(2013, 1, 5, 6, 30, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '718abfe9-aed9-4321-ac8a-ff7612fbe316', 'job_description': 'Realigned exuding artificial intelligence', 'start_date': datetime.datetime(2015, 11, 6, 15, 52, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 2, 3, 32, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 2, 17, 4, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5838a3aa-d1f1-4d5a-ae57-50340e056366', 'end_date': datetime.datetime(2010, 10, 8, 18, 50, 47), 'start_time': datetime.datetime(2012, 11, 11, 1, 13, 33), 'rate': 2, 'updated_at': datetime.datetime(2013, 7, 2, 13, 35, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6cf8a57e-9c20-4fee-b40a-52c29aa4c73f', 'job_description': 'Robust non-volatile productivity', 'start_date': datetime.datetime(2016, 4, 12, 12, 7, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 18, 18, 29, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 6, 1, 1, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '172330e1-2775-4aaf-9413-e6f0883aaf16', 'end_date': datetime.datetime(2011, 2, 16, 7, 51), 'start_time': datetime.datetime(2016, 4, 23, 17, 29, 54), 'rate': 4, 'updated_at': datetime.datetime(2014, 7, 10, 19, 42, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5707c85f-2825-418c-bfd3-6a301d4160a9', 'job_description': 'Re-contextualized multi-state parallelism', 'start_date': datetime.datetime(2010, 8, 31, 15, 10, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 5, 22, 49, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 18, 20, 16, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2eebd173-0a8f-4ddd-ba8a-cf4d2c2b25d7', 'end_date': datetime.datetime(2016, 11, 25, 15, 53, 21), 'start_time': datetime.datetime(2014, 6, 29, 18, 4, 13), 'rate': 2, 'updated_at': datetime.datetime(2014, 10, 12, 19, 6, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Montserrat', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cd4d7f15-697e-45dd-b148-408d3d6607ac', 'job_description': 'Polarised logistical moratorium', 'start_date': datetime.datetime(2019, 7, 6, 23, 37, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 15, 16, 8, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 22, 0, 8, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '19ebeaa9-4dba-499c-8bcc-9ac041dc3c0a', 'end_date': datetime.datetime(2018, 7, 9, 2, 14, 20), 'start_time': datetime.datetime(2019, 6, 6, 19, 43, 10), 'rate': 4, 'updated_at': datetime.datetime(2014, 2, 23, 15, 31, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cde6a20e-4c13-4e89-9f5b-18e72b50a5f3', 'job_description': 'Cross-platform fresh-thinking archive', 'start_date': datetime.datetime(2019, 7, 8, 21, 12, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 11, 1, 19, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 14, 14, 18, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b56acbc9-3563-4215-9636-0ae88080bb07', 'end_date': datetime.datetime(2014, 11, 16, 21, 43, 42), 'start_time': datetime.datetime(2014, 1, 17, 14, 29, 25), 'rate': 2, 'updated_at': datetime.datetime(2011, 11, 27, 22, 22, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '468509ff-7e3e-418e-a4f5-6d0bba8ef835', 'job_description': 'Implemented bandwidth-monitored info-mediaries', 'start_date': datetime.datetime(2015, 4, 19, 11, 56, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 17, 18, 21, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 23, 21, 52, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '12597f9d-220b-4055-b043-8700f8644db1', 'end_date': datetime.datetime(2010, 1, 18, 0, 19, 14), 'start_time': datetime.datetime(2015, 1, 11, 11, 26, 40), 'rate': 2, 'updated_at': datetime.datetime(2018, 9, 22, 15, 24, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '02636b03-9edc-4a5f-a535-8f7ba4707fed', 'job_description': 'Progressive motivating Graphic Interface', 'start_date': datetime.datetime(2011, 7, 5, 7, 7, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 31, 5, 46, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 6, 19, 8, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c4054193-816b-4880-8700-8852a9bf7ef1', 'end_date': datetime.datetime(2015, 6, 25, 11, 16, 29), 'start_time': datetime.datetime(2012, 3, 23, 16, 38, 40), 'rate': 3, 'updated_at': datetime.datetime(2010, 6, 3, 10, 10, 1), 'job_title': 'CoffeeMaker', 'service_id': 'New Caledonia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c7dc4499-93b7-4e89-94f8-9c6b4341ad0d', 'job_description': 'Implemented client-driven application', 'start_date': datetime.datetime(2011, 3, 7, 8, 53, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 21, 7, 27, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 13, 14, 28, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fee42660-90b1-4f1f-b9ed-3b567a7cc185', 'end_date': datetime.datetime(2014, 4, 13, 19, 55, 24), 'start_time': datetime.datetime(2019, 5, 7, 0, 8, 53), 'rate': 5, 'updated_at': datetime.datetime(2016, 2, 19, 17, 8, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '30caba72-790a-48ca-b4cc-0eb18b9c878e', 'job_description': 'Fundamental dynamic strategy', 'start_date': datetime.datetime(2016, 8, 27, 17, 39, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 23, 19, 58, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 14, 17, 59, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a0df4d15-0bfd-43c3-b0a3-a1c3c595558f', 'end_date': datetime.datetime(2015, 10, 16, 20, 1, 38), 'start_time': datetime.datetime(2015, 2, 28, 11, 26, 26), 'rate': 5, 'updated_at': datetime.datetime(2016, 9, 14, 3, 56, 40), 'job_title': 'CoffeeMaker', 'service_id': 'India', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4b7af3c1-9a44-47c1-9363-0ae531ce2437', 'job_description': 'Secured maximized help-desk', 'start_date': datetime.datetime(2018, 9, 18, 8, 40, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 23, 4, 27, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 10, 9, 6, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dfe35859-c338-47bc-a92f-8c7cb5366ca8', 'end_date': datetime.datetime(2012, 10, 13, 5, 8, 35), 'start_time': datetime.datetime(2010, 6, 15, 20, 53, 34), 'rate': 2, 'updated_at': datetime.datetime(2018, 2, 9, 18, 41, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9fa93c2d-3905-41df-99a9-f35720d1735e', 'job_description': 'Compatible directional toolset', 'start_date': datetime.datetime(2011, 5, 30, 1, 2, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 17, 4, 7, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 24, 0, 24, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b773526e-6edd-457b-b110-5d3fc5f2bf1c', 'end_date': datetime.datetime(2018, 12, 6, 2, 16, 53), 'start_time': datetime.datetime(2016, 12, 13, 6, 18, 56), 'rate': 5, 'updated_at': datetime.datetime(2018, 10, 2, 0, 23, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Puerto Rico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0125fd22-84d8-4437-b185-8cd1cf4c434d', 'job_description': 'Open-source high-level installation', 'start_date': datetime.datetime(2010, 8, 15, 14, 48, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 9, 16, 53, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 11, 17, 44, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e28f50bf-4858-40a2-9f04-a647fab537d3', 'end_date': datetime.datetime(2016, 9, 26, 20, 21, 46), 'start_time': datetime.datetime(2012, 6, 4, 19, 5, 12), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 27, 16, 7, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '200e9ccf-01ec-49ad-92ff-0914e1764adc', 'job_description': 'Future-proofed tangible knowledge user', 'start_date': datetime.datetime(2017, 1, 11, 0, 42, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 6, 7, 57, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 22, 13, 43, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4706bf64-717a-4b16-a498-d34f325995b8', 'end_date': datetime.datetime(2018, 4, 5, 2, 17, 22), 'start_time': datetime.datetime(2013, 8, 24, 21, 45, 31), 'rate': 4, 'updated_at': datetime.datetime(2010, 6, 14, 20, 13, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '52081959-bf5f-411e-a164-221d7146301f', 'job_description': 'Operative heuristic synergy', 'start_date': datetime.datetime(2011, 2, 7, 1, 5, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 3, 11, 31, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 19, 4, 46, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '560f7d38-e6d7-4422-a429-1bada45cbfbd', 'end_date': datetime.datetime(2010, 8, 13, 12, 17, 10), 'start_time': datetime.datetime(2019, 11, 12, 16, 54, 18), 'rate': 5, 'updated_at': datetime.datetime(2012, 10, 20, 15, 58, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '31bca674-8f0a-4900-9de6-9b23e99b811a', 'job_description': 'Vision-oriented impactful leverage', 'start_date': datetime.datetime(2018, 11, 19, 5, 5, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 23, 22, 6, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 6, 17, 12, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1121ece3-08ab-462b-9c09-30db05da039f', 'end_date': datetime.datetime(2011, 6, 5, 16, 49, 23), 'start_time': datetime.datetime(2018, 4, 2, 3, 27, 31), 'rate': 3, 'updated_at': datetime.datetime(2015, 7, 27, 8, 13, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e49fbe5b-cd99-4b35-9233-72cc3163a9d2', 'job_description': 'Phased leading edge info-mediaries', 'start_date': datetime.datetime(2019, 3, 18, 5, 27, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 12, 15, 12, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 22, 9, 45, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ead0f654-b582-4707-8966-7d0a6ee261e3', 'end_date': datetime.datetime(2011, 11, 21, 23, 30), 'start_time': datetime.datetime(2017, 1, 4, 1, 0, 14), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 4, 14, 50, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b8e1d358-47bd-42d3-b48e-5715694bba0e', 'job_description': 'Pre-emptive impactful workforce', 'start_date': datetime.datetime(2012, 1, 6, 16, 28, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 20, 1, 12, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 8, 7, 52, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4686b909-8855-4efd-91c9-91873421aabf', 'end_date': datetime.datetime(2011, 7, 20, 3, 15, 19), 'start_time': datetime.datetime(2017, 9, 6, 20, 45, 43), 'rate': 3, 'updated_at': datetime.datetime(2014, 12, 23, 13, 41, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a482d16f-a515-4811-84b8-bdc370c368a1', 'job_description': 'Proactive discrete benchmark', 'start_date': datetime.datetime(2013, 11, 11, 19, 7, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 26, 12, 18, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 6, 3, 53, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '85a22b49-713d-4230-bec1-33437dfe3d90', 'end_date': datetime.datetime(2016, 7, 9, 20, 36, 30), 'start_time': datetime.datetime(2011, 1, 1, 13, 11, 13), 'rate': 1, 'updated_at': datetime.datetime(2012, 4, 29, 13, 9, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b9d34d74-08dc-4135-b028-96b9f799f8c1', 'job_description': 'Object-based holistic collaboration', 'start_date': datetime.datetime(2014, 11, 7, 23, 59, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 26, 10, 21, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 8, 16, 29, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f8339c1-2c35-4fa7-9c1a-c300c700b179', 'end_date': datetime.datetime(2015, 2, 9, 12, 1, 43), 'start_time': datetime.datetime(2018, 1, 10, 20, 55, 1), 'rate': 4, 'updated_at': datetime.datetime(2014, 8, 16, 19, 20, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '676e806a-5964-4d1f-b77c-8bb31edda03d', 'job_description': 'Versatile even-keeled help-desk', 'start_date': datetime.datetime(2011, 3, 6, 21, 50, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 6, 6, 44, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 26, 8, 19, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d346157-f9c1-4907-88e3-c5999e35b61a', 'end_date': datetime.datetime(2010, 3, 11, 18, 58, 27), 'start_time': datetime.datetime(2016, 10, 28, 10, 1, 45), 'rate': 5, 'updated_at': datetime.datetime(2010, 11, 4, 15, 43, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '38ae42da-1f6e-43ad-8db1-246ad5086d6e', 'job_description': 'Compatible 24/7 adapter', 'start_date': datetime.datetime(2013, 7, 5, 23, 6, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 20, 15, 30, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 19, 12, 10, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f74b810e-6e6c-40f4-9f72-e9cdca16a00e', 'end_date': datetime.datetime(2011, 5, 11, 14, 4, 51), 'start_time': datetime.datetime(2014, 5, 25, 21, 49, 10), 'rate': 5, 'updated_at': datetime.datetime(2014, 2, 26, 10, 1, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b874cc2b-2821-4d57-afcb-4a5b0003b31c', 'job_description': 'Re-engineered interactive matrix', 'start_date': datetime.datetime(2012, 12, 16, 5, 11, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 26, 19, 9, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 16, 6, 33, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a3248ad-274c-48ba-b51e-3dd032445f1c', 'end_date': datetime.datetime(2010, 2, 23, 2, 12, 34), 'start_time': datetime.datetime(2011, 6, 10, 15, 44, 25), 'rate': 2, 'updated_at': datetime.datetime(2013, 1, 5, 7, 28, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c0951c22-bfc9-4e94-878f-07e5792dec1c', 'job_description': 'Configurable assymetric open architecture', 'start_date': datetime.datetime(2016, 5, 25, 20, 51, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 21, 16, 9, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 10, 11, 49, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3afc8191-baef-434c-885b-f39011fc454a', 'end_date': datetime.datetime(2013, 8, 19, 5, 2, 41), 'start_time': datetime.datetime(2018, 7, 15, 7, 6, 6), 'rate': 2, 'updated_at': datetime.datetime(2010, 10, 24, 10, 30, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Antarctica (the territory South of 60 deg S)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3ca0279f-99bd-4a15-ad87-6dd8958ebc0f', 'job_description': 'Advanced system-worthy firmware', 'start_date': datetime.datetime(2015, 2, 16, 10, 10, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 6, 14, 16, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 20, 6, 34, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e0b553a2-4e13-4d59-916f-4fe198ede38a', 'end_date': datetime.datetime(2019, 7, 25, 11, 5, 33), 'start_time': datetime.datetime(2014, 11, 6, 19, 41, 41), 'rate': 4, 'updated_at': datetime.datetime(2013, 8, 25, 21, 11, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dcd8a6d3-6c78-4370-b4e4-48213d331d02', 'job_description': 'Multi-tiered systematic data-warehouse', 'start_date': datetime.datetime(2019, 9, 28, 23, 36, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 6, 8, 5, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 4, 9, 43, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '818aa089-f430-4220-a050-d0de9b210fdd', 'end_date': datetime.datetime(2019, 2, 8, 11, 11, 4), 'start_time': datetime.datetime(2017, 7, 25, 16, 8, 38), 'rate': 4, 'updated_at': datetime.datetime(2010, 7, 10, 16, 23, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '80c7fab6-0481-4288-a7b2-e205cda7ad7c', 'job_description': 'Synergistic foreground implementation', 'start_date': datetime.datetime(2013, 10, 5, 3, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 10, 19, 44, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 12, 21, 18, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd9ed5d73-bb67-49af-883f-ce03d44b9b8b', 'end_date': datetime.datetime(2011, 1, 23, 10, 10, 8), 'start_time': datetime.datetime(2013, 5, 18, 18, 40, 25), 'rate': 1, 'updated_at': datetime.datetime(2013, 2, 2, 17, 17, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8ea851df-d62b-4b86-a041-d74c27c8dd6f', 'job_description': 'Ergonomic reciprocal matrix', 'start_date': datetime.datetime(2012, 10, 12, 11, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 16, 2, 36, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 20, 3, 57, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '980bf3ac-24ea-48d4-8a5f-898505ae125e', 'end_date': datetime.datetime(2017, 2, 14, 23, 11, 24), 'start_time': datetime.datetime(2019, 7, 10, 17, 49, 31), 'rate': 2, 'updated_at': datetime.datetime(2017, 12, 24, 11, 43, 38), 'job_title': 'CoffeeMaker', 'service_id': 'South Africa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c2d88f7-2e91-4da7-aeb7-4bae1c51b5e6', 'job_description': 'Enterprise-wide responsive orchestration', 'start_date': datetime.datetime(2013, 2, 4, 1, 44, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 16, 10, 9, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 11, 20, 2, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b63bc8ac-0232-4b92-b7fc-a409a5724c67', 'end_date': datetime.datetime(2019, 5, 20, 10, 27, 13), 'start_time': datetime.datetime(2017, 5, 1, 21, 29, 56), 'rate': 1, 'updated_at': datetime.datetime(2010, 5, 31, 9, 18, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '686f9673-44e5-47a7-98ad-f2a9820cc215', 'job_description': 'Multi-layered context-sensitive policy', 'start_date': datetime.datetime(2016, 11, 7, 12, 19, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 11, 2, 40, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 18, 2, 56, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ef508ef-eaf3-4c72-bc10-b57084111d93', 'end_date': datetime.datetime(2012, 1, 15, 5, 9, 23), 'start_time': datetime.datetime(2016, 12, 23, 23, 5, 16), 'rate': 2, 'updated_at': datetime.datetime(2016, 2, 17, 23, 48, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'afbf7848-c104-4b9c-8db0-1fa76fca2638', 'job_description': 'Managed object-oriented firmware', 'start_date': datetime.datetime(2019, 1, 17, 10, 55, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 16, 7, 10, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 28, 19, 46, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd35b58d5-2b9f-4b28-9b20-b4ee4b63db42', 'end_date': datetime.datetime(2018, 11, 7, 15, 56, 58), 'start_time': datetime.datetime(2018, 12, 9, 0, 25, 56), 'rate': 1, 'updated_at': datetime.datetime(2015, 2, 21, 17, 58, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e12b92b-02d8-440b-8f69-98048f4b7fee', 'job_description': 'Focused mobile moratorium', 'start_date': datetime.datetime(2014, 7, 23, 1, 47, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 29, 0, 50, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 24, 14, 0, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4341640c-4f87-4bea-893e-e6abd388c3c6', 'end_date': datetime.datetime(2010, 12, 16, 19, 34, 34), 'start_time': datetime.datetime(2016, 3, 3, 4, 21, 56), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 21, 7, 42, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '53a70813-e484-4f3a-b888-14063fdbfb0d', 'job_description': 'User-centric multi-state open system', 'start_date': datetime.datetime(2012, 11, 15, 6, 16, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 22, 17, 57, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 16, 4, 35, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e16c42cb-4b0b-480d-8aad-3dda486268fc', 'end_date': datetime.datetime(2017, 2, 25, 21, 6, 47), 'start_time': datetime.datetime(2018, 6, 23, 22, 7, 27), 'rate': 1, 'updated_at': datetime.datetime(2016, 11, 12, 14, 3, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '37e3ff28-3d43-4e75-8008-91d19af19261', 'job_description': 'Cloned interactive collaboration', 'start_date': datetime.datetime(2019, 10, 26, 15, 4, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 20, 18, 49, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 1, 18, 15, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '93247591-7b60-421a-affa-0882e0bb6678', 'end_date': datetime.datetime(2013, 10, 7, 0, 53, 1), 'start_time': datetime.datetime(2017, 1, 5, 11, 46, 28), 'rate': 3, 'updated_at': datetime.datetime(2017, 8, 12, 6, 23, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0d858dc5-059c-4c2f-86bb-9931a555fc48', 'job_description': 'Multi-lateral discrete knowledge base', 'start_date': datetime.datetime(2013, 10, 5, 19, 47, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 27, 13, 59, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 18, 21, 6, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7adb0eac-334b-4e0b-aa13-74e16ea5bc31', 'end_date': datetime.datetime(2017, 10, 8, 22, 11, 5), 'start_time': datetime.datetime(2019, 7, 10, 5, 6, 1), 'rate': 2, 'updated_at': datetime.datetime(2019, 10, 29, 12, 39, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1617355c-f9e4-4d84-8b07-d5320c08fb07', 'job_description': 'Automated next generation moratorium', 'start_date': datetime.datetime(2015, 3, 1, 11, 57, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 30, 23, 21, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 2, 19, 38, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '272aed17-dc54-4389-a73d-58cd17aed01f', 'end_date': datetime.datetime(2019, 7, 2, 15, 11, 19), 'start_time': datetime.datetime(2014, 10, 26, 23, 44, 8), 'rate': 3, 'updated_at': datetime.datetime(2018, 5, 19, 21, 14, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '507c51f6-ed8d-4c15-a1e6-0a939e59aee6', 'job_description': 'Devolved interactive policy', 'start_date': datetime.datetime(2014, 1, 15, 7, 57, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 10, 2, 23, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 8, 4, 8, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bfc3831c-da9c-42b1-91e9-905f5655ebcf', 'end_date': datetime.datetime(2016, 4, 26, 13, 5, 30), 'start_time': datetime.datetime(2019, 1, 20, 2, 21, 35), 'rate': 1, 'updated_at': datetime.datetime(2011, 1, 28, 19, 46, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1f21e599-341b-4da6-87d2-1c3551ac5038', 'job_description': 'Ameliorated bifurcated data-warehouse', 'start_date': datetime.datetime(2018, 1, 22, 12, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 19, 4, 25, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 20, 9, 45, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c355727c-cfc5-48eb-953c-cb963a5fb536', 'end_date': datetime.datetime(2018, 9, 16, 1, 10, 7), 'start_time': datetime.datetime(2019, 6, 12, 1, 26, 44), 'rate': 5, 'updated_at': datetime.datetime(2014, 12, 29, 12, 44, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9338f71d-dd2a-424e-950d-baa805e010de', 'job_description': 'Decentralized reciprocal matrix', 'start_date': datetime.datetime(2011, 9, 9, 13, 39, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 20, 10, 59, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 6, 9, 37, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '54e4a92c-d714-4cfa-bbf3-fc07b71fd113', 'end_date': datetime.datetime(2011, 11, 18, 4, 31, 4), 'start_time': datetime.datetime(2010, 2, 23, 18, 29, 41), 'rate': 1, 'updated_at': datetime.datetime(2019, 5, 7, 2, 12, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd04e253f-e97a-4ffc-91f3-bd403bb114b4', 'job_description': 'Digitized modular attitude', 'start_date': datetime.datetime(2015, 4, 4, 20, 27, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 12, 22, 33, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 23, 22, 38, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3bdac45c-9e10-4fa9-953b-a1727892aed0', 'end_date': datetime.datetime(2011, 5, 6, 21, 30, 52), 'start_time': datetime.datetime(2010, 1, 29, 13, 8, 57), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 5, 1, 58, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '45574225-512f-4b17-bfef-8ce20d120c42', 'job_description': 'Proactive web-enabled pricing structure', 'start_date': datetime.datetime(2016, 11, 26, 15, 29, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 23, 6, 35, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 31, 10, 17, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a9f75b7-1f94-405f-bf1a-e9162ab6e488', 'end_date': datetime.datetime(2019, 7, 29, 16, 1, 30), 'start_time': datetime.datetime(2011, 8, 26, 4, 41, 28), 'rate': 4, 'updated_at': datetime.datetime(2016, 7, 22, 4, 18, 43), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '63978c3c-0fa2-4bf7-b0fd-28129fb11d13', 'job_description': 'Business-focused tertiary superstructure', 'start_date': datetime.datetime(2012, 10, 29, 14, 34, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 18, 2, 39, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 26, 9, 12, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9ef45f4-de31-49f9-83df-b166e3d0646d', 'end_date': datetime.datetime(2019, 11, 26, 3, 8, 42), 'start_time': datetime.datetime(2017, 9, 15, 6, 9, 18), 'rate': 5, 'updated_at': datetime.datetime(2015, 5, 10, 0, 10, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ad07c2bc-a2bb-4de6-afb5-d125f12a8c62', 'job_description': 'User-centric eco-centric local area network', 'start_date': datetime.datetime(2010, 6, 9, 4, 9, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 16, 2, 52, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 7, 22, 6, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9e0b9ab3-6d00-4d4e-970c-e695b462d0f8', 'end_date': datetime.datetime(2012, 1, 19, 22, 31, 10), 'start_time': datetime.datetime(2010, 3, 31, 22, 57, 39), 'rate': 2, 'updated_at': datetime.datetime(2014, 4, 22, 1, 38, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '65e23e94-0293-47c9-9d78-3d3fa7535563', 'job_description': 'Re-engineered multi-state database', 'start_date': datetime.datetime(2014, 9, 4, 0, 25, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 6, 19, 57, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 2, 9, 19, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '32dc62d8-a8b9-45dc-8cf7-8d23cbaebd79', 'end_date': datetime.datetime(2014, 11, 15, 6, 10, 12), 'start_time': datetime.datetime(2018, 7, 6, 1, 12, 41), 'rate': 2, 'updated_at': datetime.datetime(2011, 9, 10, 12, 11, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3497cd6e-6929-4473-a7f2-72a07cc14a25', 'job_description': 'Quality-focused scalable circuit', 'start_date': datetime.datetime(2011, 9, 25, 17, 27, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 6, 22, 56, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 13, 22, 16, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6268939f-80ce-4da8-9caa-c2c02f943acc', 'end_date': datetime.datetime(2015, 1, 2, 4, 57, 57), 'start_time': datetime.datetime(2014, 4, 8, 17, 37, 33), 'rate': 5, 'updated_at': datetime.datetime(2014, 9, 5, 8, 5, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '22577d5a-5429-40a2-b0c5-cead727ea225', 'job_description': 'Horizontal multi-tasking software', 'start_date': datetime.datetime(2011, 11, 15, 22, 34, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 19, 8, 5, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 17, 21, 35, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '06863de5-0451-45bb-b173-d317b461990b', 'end_date': datetime.datetime(2017, 1, 22, 9, 35, 23), 'start_time': datetime.datetime(2018, 4, 7, 20, 33, 38), 'rate': 2, 'updated_at': datetime.datetime(2015, 6, 27, 2, 29, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Latvia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '89e36ecb-84e1-454e-b348-35c28bdaa7ed', 'job_description': 'Cross-platform holistic attitude', 'start_date': datetime.datetime(2010, 7, 7, 18, 3, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 11, 9, 44, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 27, 11, 50, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '18bbb8dd-2513-4d49-955e-c3c4fca3d55f', 'end_date': datetime.datetime(2014, 2, 22, 4, 9, 4), 'start_time': datetime.datetime(2019, 3, 7, 9, 20, 47), 'rate': 1, 'updated_at': datetime.datetime(2012, 9, 15, 14, 55, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '28d19d5f-cc5c-4b65-8433-75c8ff742a67', 'job_description': 'Robust neutral productivity', 'start_date': datetime.datetime(2016, 11, 18, 11, 18, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 29, 19, 23, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 4, 4, 57, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '79541969-5ba3-473f-b0a8-647a43b4a4c5', 'end_date': datetime.datetime(2012, 5, 5, 1, 47, 44), 'start_time': datetime.datetime(2017, 11, 24, 20, 20, 21), 'rate': 5, 'updated_at': datetime.datetime(2013, 2, 20, 16, 32, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3a0fcbcc-65ca-484f-a4cc-e08f385559f7', 'job_description': 'Robust maximized extranet', 'start_date': datetime.datetime(2012, 3, 26, 6, 55, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 26, 11, 39, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 6, 8, 13, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fedf4ce3-9f18-402e-9070-51b8b4a2bac2', 'end_date': datetime.datetime(2015, 10, 10, 11, 40, 10), 'start_time': datetime.datetime(2017, 3, 13, 8, 41, 59), 'rate': 4, 'updated_at': datetime.datetime(2011, 10, 17, 12, 5, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '31fffb7f-29b8-4b35-a439-c3f260656258', 'job_description': 'Future-proofed actuating methodology', 'start_date': datetime.datetime(2013, 7, 16, 19, 12, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 27, 16, 38, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 17, 18, 57, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '48160868-34ce-4410-8e3d-af3d559bcb52', 'end_date': datetime.datetime(2019, 6, 30, 14, 3, 32), 'start_time': datetime.datetime(2010, 2, 27, 6, 17, 43), 'rate': 4, 'updated_at': datetime.datetime(2013, 5, 19, 0, 9, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '58da9e2e-b56d-4974-81a3-344b04059341', 'job_description': 'Switchable scalable data-warehouse', 'start_date': datetime.datetime(2018, 5, 9, 10, 53, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 5, 9, 49, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 4, 6, 14, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af1bc314-c258-4cef-a357-4312a0b8a79f', 'end_date': datetime.datetime(2016, 2, 6, 17, 30, 44), 'start_time': datetime.datetime(2012, 1, 7, 0, 38, 12), 'rate': 4, 'updated_at': datetime.datetime(2017, 6, 4, 7, 48, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Japan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81faa8cd-56ea-4aa8-abc1-51fba4ca4d49', 'job_description': 'Polarised zero administration definition', 'start_date': datetime.datetime(2010, 5, 15, 1, 34, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 19, 22, 35, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 9, 8, 58, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a29fc2f-2665-469f-b46e-dfdaf7b5a5a0', 'end_date': datetime.datetime(2019, 2, 24, 10, 58, 3), 'start_time': datetime.datetime(2012, 12, 22, 1, 9, 19), 'rate': 2, 'updated_at': datetime.datetime(2010, 5, 14, 8, 13, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5205d26b-2ae5-4dc8-806e-96cc3395da87', 'job_description': 'Object-based heuristic superstructure', 'start_date': datetime.datetime(2012, 1, 16, 14, 14, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 8, 23, 12, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 24, 0, 53, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3c8bcc46-1685-4f9f-91ac-8a7cf3004749', 'end_date': datetime.datetime(2014, 5, 27, 5, 35, 33), 'start_time': datetime.datetime(2011, 3, 23, 17, 29, 10), 'rate': 5, 'updated_at': datetime.datetime(2012, 8, 22, 5, 46, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dd6c0c68-ad5a-4ff7-8979-3895a98d2327', 'job_description': 'Multi-layered fault-tolerant benchmark', 'start_date': datetime.datetime(2016, 10, 4, 14, 46, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 23, 20, 46, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 16, 19, 20, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '754e1bc4-bfab-4cf1-a766-51804831a947', 'end_date': datetime.datetime(2011, 12, 19, 22, 26, 35), 'start_time': datetime.datetime(2010, 2, 25, 11, 5, 7), 'rate': 5, 'updated_at': datetime.datetime(2015, 12, 15, 11, 18, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9f3816e4-4775-44e7-89f6-5d20df8a9fa7', 'job_description': 'Managed motivating solution', 'start_date': datetime.datetime(2017, 8, 30, 16, 48, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 28, 13, 49, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 26, 10, 51, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ad2589f-0a57-4177-97e3-967c8f968947', 'end_date': datetime.datetime(2018, 7, 28, 4, 26, 48), 'start_time': datetime.datetime(2012, 8, 21, 21, 57, 38), 'rate': 1, 'updated_at': datetime.datetime(2011, 4, 12, 18, 3, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1078237a-5e99-4cd2-b260-225a18535819', 'job_description': 'Profound systematic internet solution', 'start_date': datetime.datetime(2015, 6, 30, 7, 34, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 3, 1, 34, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 21, 22, 17, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '17151e54-777d-4d77-bdcb-877d142149dd', 'end_date': datetime.datetime(2015, 9, 15, 16, 17, 30), 'start_time': datetime.datetime(2016, 10, 7, 22, 19, 35), 'rate': 2, 'updated_at': datetime.datetime(2012, 11, 30, 4, 6, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5c3c5cbf-3294-4e02-9895-c6ff1ead0374', 'job_description': 'Integrated motivating forecast', 'start_date': datetime.datetime(2010, 1, 15, 14, 15, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 5, 18, 20, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 26, 21, 32, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '624915e6-4517-4b1c-8ec8-5a480b0146e2', 'end_date': datetime.datetime(2019, 10, 13, 21, 21, 53), 'start_time': datetime.datetime(2016, 8, 24, 15, 24, 2), 'rate': 5, 'updated_at': datetime.datetime(2016, 6, 9, 19, 10, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Indonesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b88de000-0f23-4fbb-b28c-048a69e2690b', 'job_description': 'Centralized bandwidth-monitored focus group', 'start_date': datetime.datetime(2015, 11, 12, 5, 27, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 30, 1, 55, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 28, 14, 13, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '237ce1c3-9eec-4191-904c-cfed433397b5', 'end_date': datetime.datetime(2012, 1, 12, 2, 29, 54), 'start_time': datetime.datetime(2014, 7, 24, 18, 6, 26), 'rate': 4, 'updated_at': datetime.datetime(2010, 1, 30, 3, 45, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Gambia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2fa81699-6d86-48c6-9f68-d3269671fe29', 'job_description': 'Grass-roots actuating help-desk', 'start_date': datetime.datetime(2012, 3, 14, 23, 29, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 12, 22, 42, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 9, 2, 30, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4c233b1d-8df1-4bd9-9eef-e9b422cbdeb9', 'end_date': datetime.datetime(2016, 8, 17, 0, 3, 24), 'start_time': datetime.datetime(2015, 2, 7, 23, 57, 14), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 17, 23, 55, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a5bb8777-9e11-41d6-9efa-c54bb57f11a7', 'job_description': 'Self-enabling next generation groupware', 'start_date': datetime.datetime(2016, 8, 17, 4, 15, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 10, 7, 10, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 24, 6, 37, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ff78536d-8f83-481b-a97d-39ad03491740', 'end_date': datetime.datetime(2010, 10, 24, 2, 29), 'start_time': datetime.datetime(2015, 6, 16, 7, 30, 41), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 30, 22, 28, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cb77ebdb-50a4-4776-a103-76b31a516135', 'job_description': 'Synergistic intangible toolset', 'start_date': datetime.datetime(2017, 10, 28, 10, 45, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 27, 0, 15, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 26, 13, 14, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4cb463fd-2592-4881-bc1c-8a269f3eed8e', 'end_date': datetime.datetime(2013, 6, 24, 23, 20, 57), 'start_time': datetime.datetime(2016, 10, 16, 15, 14, 7), 'rate': 3, 'updated_at': datetime.datetime(2014, 8, 30, 1, 48, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b63a2d68-fff8-470a-b5a8-895dae8c182a', 'job_description': 'Phased 24/7 knowledge user', 'start_date': datetime.datetime(2013, 8, 1, 6, 37, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 29, 20, 48, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 1, 5, 52, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '28e17720-0dbe-4dee-9a73-89bc66a03825', 'end_date': datetime.datetime(2016, 5, 16, 2, 23, 8), 'start_time': datetime.datetime(2017, 8, 23, 3, 3, 24), 'rate': 3, 'updated_at': datetime.datetime(2018, 9, 21, 18, 46, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '746f093f-0db5-49a0-bf13-a886ee904c13', 'job_description': 'Synchronised motivating customer loyalty', 'start_date': datetime.datetime(2019, 1, 5, 19, 17, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 22, 21, 54, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 8, 7, 16, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '747f3881-9871-4bdc-a9cb-193e2afc8d13', 'end_date': datetime.datetime(2014, 2, 5, 4, 42, 35), 'start_time': datetime.datetime(2011, 12, 8, 23, 47, 27), 'rate': 5, 'updated_at': datetime.datetime(2012, 1, 25, 6, 45, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '293bf772-f89e-4192-b132-e279c375e43f', 'job_description': 'Optional client-server throughput', 'start_date': datetime.datetime(2010, 2, 3, 21, 16, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 2, 18, 19, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 30, 17, 39, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd5e98a2a-5ff2-46aa-a97f-ffec06b6831b', 'end_date': datetime.datetime(2015, 5, 28, 0, 3, 7), 'start_time': datetime.datetime(2010, 8, 6, 8, 28, 27), 'rate': 3, 'updated_at': datetime.datetime(2011, 12, 2, 6, 32, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9eb94c1c-2903-4925-94e1-fb7016eca21e', 'job_description': 'Implemented executive application', 'start_date': datetime.datetime(2018, 5, 8, 5, 32, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 22, 9, 19, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 14, 21, 30, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '167b074c-4958-45fc-8c7f-54a83ca58f29', 'end_date': datetime.datetime(2016, 7, 8, 17, 24, 28), 'start_time': datetime.datetime(2011, 11, 22, 1, 57, 33), 'rate': 4, 'updated_at': datetime.datetime(2012, 1, 12, 1, 19, 41), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '70836fb4-eb22-4f31-bb9c-5cf53c3af6ba', 'job_description': 'Open-architected well-modulated support', 'start_date': datetime.datetime(2010, 5, 5, 14, 51, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 30, 13, 20, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 4, 9, 33, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0a55710-88f8-4f35-85c7-72f1031682a0', 'end_date': datetime.datetime(2017, 2, 24, 0, 16, 46), 'start_time': datetime.datetime(2010, 7, 6, 9, 58, 23), 'rate': 4, 'updated_at': datetime.datetime(2016, 3, 7, 12, 1, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a076efc0-26bb-4ea0-a1cf-d5b69c9c50a9', 'job_description': 'Secured zero defect approach', 'start_date': datetime.datetime(2019, 1, 18, 0, 37, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 5, 1, 57, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 19, 10, 28, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d869244-c2ef-46b9-97d5-1b2c5bf0867f', 'end_date': datetime.datetime(2014, 12, 7, 19, 44, 17), 'start_time': datetime.datetime(2012, 6, 20, 17, 43, 31), 'rate': 2, 'updated_at': datetime.datetime(2015, 5, 3, 7, 4, 5), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c7e2b27f-d16a-4090-ad04-0437ba0d7f6d', 'job_description': 'Synchronised bifurcated throughput', 'start_date': datetime.datetime(2012, 4, 5, 17, 40, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 22, 16, 5, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 10, 9, 58, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7705f8b7-e84f-4b31-9a3f-a19e9d8d8cc9', 'end_date': datetime.datetime(2013, 1, 24, 18, 54, 49), 'start_time': datetime.datetime(2012, 2, 15, 8, 56, 57), 'rate': 2, 'updated_at': datetime.datetime(2018, 12, 7, 2, 21, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Andorra', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a2bd8863-55ce-4156-9f7d-b06d3e836235', 'job_description': 'Ergonomic explicit interface', 'start_date': datetime.datetime(2015, 1, 7, 10, 19, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 23, 9, 9, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 16, 14, 22, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9d26fd97-eeb1-4629-a096-1e6ac6c74136', 'end_date': datetime.datetime(2017, 7, 15, 11, 13, 28), 'start_time': datetime.datetime(2019, 9, 2, 5, 57, 35), 'rate': 2, 'updated_at': datetime.datetime(2011, 7, 16, 21, 48, 42), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8cfc65b3-af34-4ab5-845c-497fa8b1408c', 'job_description': 'Right-sized bi-directional customer loyalty', 'start_date': datetime.datetime(2019, 2, 14, 13, 8, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 8, 16, 29, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 23, 19, 42, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '35d3b842-87f7-40af-a188-96f5b81ed948', 'end_date': datetime.datetime(2017, 12, 3, 4, 23, 56), 'start_time': datetime.datetime(2016, 7, 6, 11, 45, 24), 'rate': 5, 'updated_at': datetime.datetime(2017, 5, 28, 14, 20, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4ab60a0f-7ce9-49f4-9b88-e30b98ddd566', 'job_description': 'Ergonomic non-volatile flexibility', 'start_date': datetime.datetime(2015, 6, 2, 19, 51, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 22, 15, 3, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 11, 13, 57, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '44c2302f-3815-43b5-9493-1818947628ce', 'end_date': datetime.datetime(2012, 2, 20, 18, 52, 32), 'start_time': datetime.datetime(2013, 11, 18, 10, 6, 1), 'rate': 2, 'updated_at': datetime.datetime(2013, 2, 17, 6, 41, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5eea50c8-67ab-4b81-bb18-14c2d411ab77', 'job_description': 'Up-sized zero tolerance Graphic Interface', 'start_date': datetime.datetime(2016, 5, 28, 9, 42, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 9, 16, 36, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 22, 22, 16, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'db78b573-2477-46aa-b53c-86e421bab58f', 'end_date': datetime.datetime(2019, 2, 22, 20, 34, 37), 'start_time': datetime.datetime(2010, 4, 13, 17, 21, 14), 'rate': 3, 'updated_at': datetime.datetime(2019, 7, 21, 17, 43, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fb5f2bdf-a19b-492d-8819-3206e4fa6b97', 'job_description': 'Configurable 3rd generation policy', 'start_date': datetime.datetime(2018, 1, 16, 9, 15, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 28, 12, 44, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 8, 15, 26, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1610460a-dd12-4e4f-93cd-b75c3cffcee8', 'end_date': datetime.datetime(2011, 2, 11, 12, 52, 50), 'start_time': datetime.datetime(2012, 12, 3, 13, 53, 16), 'rate': 5, 'updated_at': datetime.datetime(2012, 2, 25, 5, 42, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Antigua and Barbuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '317d0b02-56e7-48a5-b89a-8d5218df997e', 'job_description': 'Sharable methodical info-mediaries', 'start_date': datetime.datetime(2015, 1, 24, 13, 45, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 19, 13, 32, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 20, 12, 12, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '646cbf9e-9120-467c-b08e-938d04f2fc41', 'end_date': datetime.datetime(2011, 10, 8, 5, 58, 36), 'start_time': datetime.datetime(2016, 8, 5, 12, 26, 25), 'rate': 3, 'updated_at': datetime.datetime(2016, 7, 25, 17, 42, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9817bf95-a843-4d11-a8e5-4f340b42b921', 'job_description': 'Open-architected assymetric moratorium', 'start_date': datetime.datetime(2010, 7, 6, 7, 3, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 2, 3, 55, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 26, 17, 13, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b3d8aa51-ff4f-41b0-aa3a-0cc558724e96', 'end_date': datetime.datetime(2019, 6, 4, 3, 39, 47), 'start_time': datetime.datetime(2016, 5, 15, 10, 53, 27), 'rate': 1, 'updated_at': datetime.datetime(2019, 3, 28, 2, 18, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '85d713a9-0dd4-4c23-82dd-cb25a1b9dcdc', 'job_description': 'Right-sized composite benchmark', 'start_date': datetime.datetime(2011, 1, 8, 23, 13, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 3, 9, 41, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 3, 8, 10, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '71410c72-f298-4ffa-a5a6-3a83b89bea5c', 'end_date': datetime.datetime(2018, 3, 17, 15, 25, 52), 'start_time': datetime.datetime(2011, 5, 27, 20, 56, 57), 'rate': 5, 'updated_at': datetime.datetime(2018, 2, 17, 21, 55, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8f265a42-37a0-4fc8-b08b-68a06857f4f6', 'job_description': 'Cross-platform actuating attitude', 'start_date': datetime.datetime(2019, 10, 23, 18, 26, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 30, 3, 27, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 24, 13, 26, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '205ed3d7-0ba2-4169-a11d-cb6c16f3479b', 'end_date': datetime.datetime(2015, 6, 3, 9, 42, 14), 'start_time': datetime.datetime(2011, 9, 9, 8, 58, 16), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 30, 0, 33, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd227b24c-b9bc-4929-9bf9-b61815c98165', 'job_description': 'Horizontal hybrid architecture', 'start_date': datetime.datetime(2012, 7, 21, 0, 39, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 27, 20, 42, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 27, 11, 32, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '91bf2bb2-9d8b-4e16-adc5-5fc65cd66617', 'end_date': datetime.datetime(2014, 1, 13, 1, 24, 42), 'start_time': datetime.datetime(2017, 5, 26, 11, 38, 44), 'rate': 4, 'updated_at': datetime.datetime(2019, 3, 5, 4, 12, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '215c5f1a-375b-48e9-8238-6f7d05d4e6e4', 'job_description': 'Optimized needs-based matrices', 'start_date': datetime.datetime(2015, 12, 28, 1, 37, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 17, 0, 41, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 17, 16, 10, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a8222fbc-c6e1-493a-94fe-bc0f20d4ff60', 'end_date': datetime.datetime(2014, 5, 21, 2, 9, 52), 'start_time': datetime.datetime(2011, 7, 14, 14, 11, 44), 'rate': 2, 'updated_at': datetime.datetime(2017, 2, 9, 21, 59, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2ab5197a-9cae-4618-8a6b-54dcaff35847', 'job_description': 'Decentralized logistical interface', 'start_date': datetime.datetime(2012, 4, 26, 8, 34, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 20, 7, 58, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 30, 12, 59, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e20d4dde-d542-4c70-9aad-2e3263c89462', 'end_date': datetime.datetime(2019, 9, 19, 21, 6, 46), 'start_time': datetime.datetime(2016, 11, 8, 9, 37, 1), 'rate': 2, 'updated_at': datetime.datetime(2017, 8, 2, 0, 45, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Afghanistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ab6239a5-ab05-45e2-a82d-fb8ee8468c9a', 'job_description': 'Automated optimal encoding', 'start_date': datetime.datetime(2017, 2, 2, 4, 24, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 25, 22, 38, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 11, 22, 4, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '13d14a6d-ad5e-48d5-95fc-268c1d15b1b3', 'end_date': datetime.datetime(2018, 12, 30, 7, 36, 5), 'start_time': datetime.datetime(2016, 2, 18, 17, 58, 20), 'rate': 2, 'updated_at': datetime.datetime(2019, 5, 20, 8, 56, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'acfa0f44-062d-4bf3-8881-931e106e32dd', 'job_description': 'Monitored context-sensitive success', 'start_date': datetime.datetime(2015, 5, 13, 21, 38, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 27, 6, 24, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 23, 12, 25, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a336ead1-7ba3-4473-8f5f-ff95e64b3d33', 'end_date': datetime.datetime(2017, 5, 25, 13, 0, 16), 'start_time': datetime.datetime(2013, 3, 13, 22, 20, 4), 'rate': 1, 'updated_at': datetime.datetime(2017, 8, 18, 2, 58, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Liberia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1df7af21-4363-4c45-88ed-fdef357f3b1d', 'job_description': 'Balanced assymetric productivity', 'start_date': datetime.datetime(2014, 12, 14, 13, 27, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 1, 4, 48, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 3, 2, 34, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '55dd6944-2ace-42cf-aa32-69abeafb651d', 'end_date': datetime.datetime(2013, 9, 7, 4, 9, 32), 'start_time': datetime.datetime(2018, 2, 10, 17, 4, 51), 'rate': 4, 'updated_at': datetime.datetime(2013, 8, 24, 11, 26, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c579fb43-c686-4066-ad60-074d3b284cb1', 'job_description': 'Networked optimal middleware', 'start_date': datetime.datetime(2012, 8, 23, 4, 27, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 8, 5, 18, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 17, 7, 10, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e5f522d6-20a7-4d20-b184-bb4f911bc7da', 'end_date': datetime.datetime(2014, 11, 28, 19, 14, 44), 'start_time': datetime.datetime(2015, 4, 3, 12, 14, 1), 'rate': 3, 'updated_at': datetime.datetime(2010, 1, 17, 22, 30, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b07e08f0-69f9-4aa6-ba87-5d0417e6a23e', 'job_description': 'Switchable solution-oriented methodology', 'start_date': datetime.datetime(2018, 7, 8, 19, 18, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 3, 4, 8, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 25, 9, 36, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8df31b2c-5d1e-49c0-a854-f9a56b9e5d69', 'end_date': datetime.datetime(2018, 5, 22, 2, 51, 44), 'start_time': datetime.datetime(2010, 2, 18, 10, 49, 31), 'rate': 4, 'updated_at': datetime.datetime(2014, 1, 27, 1, 0, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '829253df-2d1b-447c-91c8-ffa4e5872818', 'job_description': 'Universal fresh-thinking conglomeration', 'start_date': datetime.datetime(2013, 1, 30, 11, 52, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 6, 7, 45, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 20, 18, 28, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd5deaf08-1d83-4cc0-ab9f-724b88520a4e', 'end_date': datetime.datetime(2016, 5, 5, 9, 30, 55), 'start_time': datetime.datetime(2019, 9, 21, 22, 20, 33), 'rate': 4, 'updated_at': datetime.datetime(2014, 8, 27, 20, 5, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5da65cbb-3d05-423e-a8d6-8cedb6b3294a', 'job_description': 'Enterprise-wide assymetric protocol', 'start_date': datetime.datetime(2016, 9, 8, 5, 18, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 19, 17, 32, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 8, 4, 51, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '40fa1a65-e350-42fb-9936-a0f7e36a21b0', 'end_date': datetime.datetime(2019, 11, 11, 4, 51, 37), 'start_time': datetime.datetime(2011, 11, 13, 13, 29, 27), 'rate': 5, 'updated_at': datetime.datetime(2018, 6, 11, 10, 14, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '15386a4b-7a6d-4785-9315-6c6e35f09e0b', 'job_description': 'Synergistic explicit matrix', 'start_date': datetime.datetime(2014, 8, 5, 4, 57, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 26, 9, 16, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 22, 0, 53, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f316e395-cd99-4b8b-94f2-b942eaa307cc', 'end_date': datetime.datetime(2019, 4, 2, 2, 16, 54), 'start_time': datetime.datetime(2016, 9, 23, 0, 48, 15), 'rate': 1, 'updated_at': datetime.datetime(2017, 3, 1, 16, 12, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Mozambique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd3c17d44-0f31-4131-bbf3-91ab2a8bf598', 'job_description': 'Digitized local forecast', 'start_date': datetime.datetime(2013, 5, 26, 19, 38, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 24, 15, 45, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 22, 16, 11, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2d5d26e8-8d4d-4191-ade9-e8aedccb3413', 'end_date': datetime.datetime(2014, 10, 8, 2, 37, 26), 'start_time': datetime.datetime(2019, 1, 8, 14, 11, 22), 'rate': 2, 'updated_at': datetime.datetime(2010, 1, 11, 13, 48, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '80ee906a-2cca-41bd-9437-2477c7f33cbc', 'job_description': 'Implemented empowering intranet', 'start_date': datetime.datetime(2017, 5, 14, 3, 34, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 12, 2, 54, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 1, 0, 37, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b55d319-fd30-4f80-a7a5-1396f6e83d6a', 'end_date': datetime.datetime(2014, 4, 27, 12, 7, 37), 'start_time': datetime.datetime(2016, 4, 16, 9, 42, 26), 'rate': 3, 'updated_at': datetime.datetime(2010, 10, 13, 4, 17, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3333f40c-d302-4378-9d53-587c2e437e5f', 'job_description': 'Object-based systemic initiative', 'start_date': datetime.datetime(2014, 3, 31, 9, 6, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 6, 10, 35, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 31, 3, 24, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '14f7c9bf-6404-499b-a976-49d66c899efd', 'end_date': datetime.datetime(2017, 3, 30, 22, 17, 15), 'start_time': datetime.datetime(2013, 3, 25, 19, 51, 7), 'rate': 2, 'updated_at': datetime.datetime(2013, 3, 7, 10, 23, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fa26da8a-3326-4bcc-a918-9b1fd039ac6b', 'job_description': 'Sharable grid-enabled methodology', 'start_date': datetime.datetime(2011, 7, 10, 8, 11, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 8, 1, 18, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 3, 22, 48, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7c53825d-97be-4210-aca8-c5bd605cf776', 'end_date': datetime.datetime(2018, 7, 15, 13, 35, 46), 'start_time': datetime.datetime(2018, 7, 4, 17, 9, 31), 'rate': 4, 'updated_at': datetime.datetime(2018, 7, 6, 8, 48, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b508a3fa-d645-4239-a666-2447f93d35d7', 'job_description': 'Distributed system-worthy challenge', 'start_date': datetime.datetime(2012, 4, 20, 15, 13, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 30, 10, 26, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 17, 23, 44, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '75c47fc0-4bb3-415b-91fd-83cc36bc03a0', 'end_date': datetime.datetime(2016, 10, 15, 12, 34, 42), 'start_time': datetime.datetime(2012, 9, 20, 10, 33, 21), 'rate': 3, 'updated_at': datetime.datetime(2010, 11, 2, 12, 38, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3453ebb0-4eea-4c83-af5e-b86bce5415ec', 'job_description': 'Advanced reciprocal productivity', 'start_date': datetime.datetime(2010, 8, 20, 9, 41, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 23, 4, 7, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 19, 8, 55, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7cce462c-9817-4ff9-a1a9-baac71d49d7f', 'end_date': datetime.datetime(2012, 3, 23, 7, 0, 59), 'start_time': datetime.datetime(2011, 4, 7, 16, 33, 2), 'rate': 2, 'updated_at': datetime.datetime(2019, 10, 16, 11, 45, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fc0f4a88-0c8b-4f6c-8122-50216053651d', 'job_description': 'Down-sized zero administration implementation', 'start_date': datetime.datetime(2017, 6, 7, 9, 27, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 30, 19, 41, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 14, 20, 33, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4be1390c-e7c4-479d-967e-e9c8dcf54c8c', 'end_date': datetime.datetime(2019, 11, 22, 12, 48, 7), 'start_time': datetime.datetime(2016, 11, 30, 22, 20, 18), 'rate': 4, 'updated_at': datetime.datetime(2016, 2, 9, 3, 4, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '526f6dd2-24f1-472d-96be-459e1c890cc5', 'job_description': 'Cross-platform stable conglomeration', 'start_date': datetime.datetime(2014, 8, 31, 14, 57, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 2, 12, 17, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 3, 10, 44, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c95498fd-5d0c-41b5-8ef1-04547eaa10b7', 'end_date': datetime.datetime(2013, 5, 21, 19, 3, 50), 'start_time': datetime.datetime(2018, 10, 27, 7, 10, 2), 'rate': 3, 'updated_at': datetime.datetime(2019, 11, 25, 6, 20, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '462a93e7-0bdc-41f5-af30-664a18ea4441', 'job_description': 'Cross-group zero tolerance throughput', 'start_date': datetime.datetime(2015, 7, 4, 9, 40, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 23, 22, 40, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 21, 15, 35, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3d2472d9-4526-49d7-b33a-2ddd7f2e5cfd', 'end_date': datetime.datetime(2011, 11, 11, 20, 13, 18), 'start_time': datetime.datetime(2018, 3, 14, 5, 29, 51), 'rate': 5, 'updated_at': datetime.datetime(2013, 1, 15, 10, 7, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b89236a3-2006-47b3-9d0c-0a1d4d47fa54', 'job_description': 'Sharable modular open architecture', 'start_date': datetime.datetime(2018, 6, 16, 17, 27, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 24, 9, 30, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 10, 18, 38, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f2882f9-ba2f-4472-9935-731902889d16', 'end_date': datetime.datetime(2011, 7, 16, 10, 29, 22), 'start_time': datetime.datetime(2016, 6, 27, 0, 49, 17), 'rate': 1, 'updated_at': datetime.datetime(2018, 6, 11, 22, 49, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Bhutan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8935c5d4-6839-456a-bb9a-bb1feb10e05f', 'job_description': 'Robust client-server emulation', 'start_date': datetime.datetime(2010, 4, 5, 7, 49, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 6, 3, 45, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 11, 22, 29, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c632ad7-b3a9-426c-af37-e359dae3fe6c', 'end_date': datetime.datetime(2012, 7, 14, 3, 34, 20), 'start_time': datetime.datetime(2017, 8, 9, 17, 49, 22), 'rate': 3, 'updated_at': datetime.datetime(2011, 3, 21, 12, 0, 41), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c6071359-c9ea-4f14-acc5-cbd2604b5784', 'job_description': 'Universal solution-oriented protocol', 'start_date': datetime.datetime(2011, 6, 29, 23, 24, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 3, 23, 18, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 17, 23, 19, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1517b95b-1371-42df-9196-5e97386f5f94', 'end_date': datetime.datetime(2018, 2, 16, 7, 4, 50), 'start_time': datetime.datetime(2017, 10, 29, 15, 29, 51), 'rate': 5, 'updated_at': datetime.datetime(2019, 10, 17, 13, 23, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a309ace8-00e4-46f3-bf62-5a582d574d56', 'job_description': 'Realigned executive productivity', 'start_date': datetime.datetime(2011, 12, 1, 7, 28, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 27, 15, 43, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 21, 15, 40, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8c1ffade-2f12-4ac9-9c78-bee43a4224ad', 'end_date': datetime.datetime(2012, 9, 21, 0, 10, 29), 'start_time': datetime.datetime(2015, 6, 30, 17, 39, 46), 'rate': 1, 'updated_at': datetime.datetime(2016, 12, 8, 18, 50, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '24f43f72-011d-4341-966b-1c0884d55963', 'job_description': 'Robust non-volatile implementation', 'start_date': datetime.datetime(2017, 6, 7, 10, 48, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 29, 8, 11, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 10, 9, 37, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0223ab9f-a5b0-46a2-be55-1ba840893db7', 'end_date': datetime.datetime(2015, 6, 1, 18, 53, 18), 'start_time': datetime.datetime(2014, 10, 22, 16, 46, 21), 'rate': 3, 'updated_at': datetime.datetime(2015, 6, 9, 19, 36, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1d0d89ba-e368-46b1-8c32-932df132b374', 'job_description': 'Team-oriented needs-based Graphic Interface', 'start_date': datetime.datetime(2010, 7, 18, 2, 16, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 21, 3, 53, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 8, 14, 16, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3ed0e678-f4b4-4b5a-9b8c-32a3939615bd', 'end_date': datetime.datetime(2014, 2, 23, 19, 3, 2), 'start_time': datetime.datetime(2018, 10, 4, 2, 45, 37), 'rate': 3, 'updated_at': datetime.datetime(2013, 11, 16, 13, 10, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7395a654-cdc9-412d-b48d-1a13b1da2d33', 'job_description': 'Cross-platform asynchronous open system', 'start_date': datetime.datetime(2013, 5, 2, 15, 32, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 15, 11, 2, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 12, 17, 21, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '85acff2a-c8d3-4e98-ab59-752f78d59913', 'end_date': datetime.datetime(2010, 11, 18, 15, 56, 36), 'start_time': datetime.datetime(2018, 3, 31, 6, 59, 31), 'rate': 4, 'updated_at': datetime.datetime(2011, 3, 18, 14, 24, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'abd68788-7915-45a8-81f9-a9b8c7d3ca21', 'job_description': 'Right-sized multi-state customer loyalty', 'start_date': datetime.datetime(2016, 6, 5, 1, 54, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 27, 2, 23, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 4, 11, 24, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e0c005f6-3f8b-4f0b-9230-adb813706dc0', 'end_date': datetime.datetime(2016, 6, 1, 20, 18, 23), 'start_time': datetime.datetime(2015, 3, 27, 19, 21, 7), 'rate': 3, 'updated_at': datetime.datetime(2011, 12, 29, 10, 16, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': 'd87bed77-ca32-4fac-b86a-cca1c15a4f5c', 'job_description': 'Business-focused bottom-line standardization', 'start_date': datetime.datetime(2011, 6, 3, 14, 23, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 13, 7, 33, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 27, 14, 14, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '54e0372f-f706-4f7b-9447-3ee4905071cd', 'end_date': datetime.datetime(2018, 7, 27, 4, 13, 52), 'start_time': datetime.datetime(2011, 7, 5, 10, 24, 14), 'rate': 1, 'updated_at': datetime.datetime(2010, 8, 7, 2, 11, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Jersey', 'special_note': 'thanks'}
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{'_id': '41471ff2-cf4d-41c8-97ea-87fb6cc28973', 'job_description': 'Monitored zero defect superstructure', 'start_date': datetime.datetime(2010, 7, 18, 23, 1, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 8, 0, 1, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 13, 9, 38, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fd5ce037-6ae0-4bc7-acbd-fc9d90d8ec16', 'end_date': datetime.datetime(2017, 5, 18, 22, 1, 35), 'start_time': datetime.datetime(2014, 2, 28, 18, 57, 56), 'rate': 4, 'updated_at': datetime.datetime(2016, 4, 18, 9, 5, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Netherlands', 'special_note': 'thanks'}
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{'_id': '1b6a86fa-88d6-4d9f-81d9-91978eecb5f8', 'job_description': 'Focused optimal success', 'start_date': datetime.datetime(2019, 7, 28, 0, 15, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 9, 9, 22, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 14, 8, 55, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2d4b1d5d-cbc9-45e1-8d78-ea3db0de6bbf', 'end_date': datetime.datetime(2017, 7, 28, 19, 17, 4), 'start_time': datetime.datetime(2011, 1, 31, 13, 21, 29), 'rate': 2, 'updated_at': datetime.datetime(2012, 3, 18, 17, 23, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
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{'_id': '8989b63c-7507-481f-8c1d-ca38ec421f95', 'job_description': 'Cross-group mission-critical standardization', 'start_date': datetime.datetime(2013, 2, 28, 6, 18, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 26, 14, 30, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 17, 14, 53, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f44b2e6f-763b-4430-bc33-9b184342e07b', 'end_date': datetime.datetime(2014, 12, 21, 16, 11, 58), 'start_time': datetime.datetime(2011, 5, 31, 16, 13, 25), 'rate': 3, 'updated_at': datetime.datetime(2016, 1, 12, 6, 50, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ba7ca353-f0ba-43dd-97ca-a223fc6d094b', 'job_description': 'Re-contextualized methodical collaboration', 'start_date': datetime.datetime(2014, 7, 23, 5, 32, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 21, 14, 3, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 17, 2, 6, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a122b444-60a2-41f8-bd86-12ebdecb8be9', 'end_date': datetime.datetime(2010, 2, 12, 8, 59, 15), 'start_time': datetime.datetime(2018, 7, 26, 0, 35, 45), 'rate': 4, 'updated_at': datetime.datetime(2018, 9, 4, 20, 54, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': '969faf61-9f55-4b70-82d0-110405d310e4', 'job_description': 'Advanced tangible benchmark', 'start_date': datetime.datetime(2014, 6, 10, 5, 8, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 22, 15, 46, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 27, 10, 50, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e98a9727-4ac5-436f-957c-8ff22da324c8', 'end_date': datetime.datetime(2014, 3, 24, 7, 43, 31), 'start_time': datetime.datetime(2015, 5, 19, 8, 1, 56), 'rate': 5, 'updated_at': datetime.datetime(2015, 11, 25, 0, 8, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Argentina', 'special_note': 'thanks'}
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{'_id': '19d96679-7ae4-4c2e-9048-66ea6fdbc493', 'job_description': 'Balanced client-driven workforce', 'start_date': datetime.datetime(2019, 5, 24, 5, 7, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 23, 8, 3, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 4, 12, 35, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aa671bb9-262f-4507-a56a-fb6fd60de5e0', 'end_date': datetime.datetime(2013, 5, 12, 9, 51, 1), 'start_time': datetime.datetime(2018, 8, 8, 3, 14, 38), 'rate': 3, 'updated_at': datetime.datetime(2016, 2, 13, 4, 25, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
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{'_id': '9add5a1f-b3f3-4a3f-b745-e57cc0ecd7b3', 'job_description': 'Pre-emptive methodical hierarchy', 'start_date': datetime.datetime(2019, 10, 6, 8, 55, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 27, 16, 35, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 21, 5, 27, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'daa489b8-af79-47e7-9544-de101fcada7b', 'end_date': datetime.datetime(2017, 3, 17, 13, 2, 42), 'start_time': datetime.datetime(2017, 12, 29, 7, 13), 'rate': 2, 'updated_at': datetime.datetime(2016, 4, 5, 4, 18, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
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{'_id': 'b49a8e4d-4a3a-4c2c-9d50-c6094f7fc72c', 'job_description': 'Virtual reciprocal firmware', 'start_date': datetime.datetime(2013, 10, 18, 3, 13, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 23, 7, 48, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 15, 22, 36, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd1719e6a-b33a-492a-abe8-f88621e4b90e', 'end_date': datetime.datetime(2014, 7, 3, 11, 50, 21), 'start_time': datetime.datetime(2013, 1, 18, 11, 56, 30), 'rate': 5, 'updated_at': datetime.datetime(2015, 11, 5, 9, 19, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
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{'_id': 'f88aec03-550f-4aee-9ef0-fa539c7124d7', 'job_description': 'Future-proofed 6th generation success', 'start_date': datetime.datetime(2015, 8, 12, 18, 35, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 21, 14, 22, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 15, 20, 14, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b949b116-d500-4df9-8513-4d6fabd2c48f', 'end_date': datetime.datetime(2018, 4, 23, 1, 28, 49), 'start_time': datetime.datetime(2013, 7, 12, 14, 57, 33), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 23, 3, 50, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
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{'_id': 'bf6d98f6-246d-4131-8314-1274ac3e6859', 'job_description': 'Horizontal solution-oriented installation', 'start_date': datetime.datetime(2019, 3, 15, 18, 7, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 1, 14, 32, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 11, 3, 27, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e469bb28-581e-4ce7-b6e8-87171c20c774', 'end_date': datetime.datetime(2015, 2, 3, 18, 31, 10), 'start_time': datetime.datetime(2012, 12, 25, 20, 22, 32), 'rate': 5, 'updated_at': datetime.datetime(2011, 4, 2, 15, 2, 8), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
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{'_id': '9411fe29-c908-4626-85b9-fb55541711ae', 'job_description': 'Fully-configurable cohesive definition', 'start_date': datetime.datetime(2016, 12, 15, 8, 25, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 17, 22, 49, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 22, 10, 37, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2d36ff4c-d527-4f06-ba5d-d45e7f7feabe', 'end_date': datetime.datetime(2011, 9, 22, 7, 2, 36), 'start_time': datetime.datetime(2019, 1, 9, 19, 43, 26), 'rate': 2, 'updated_at': datetime.datetime(2015, 10, 24, 17, 17, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
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{'_id': '0be53af6-339c-497a-a7bf-fa3f6f648ccd', 'job_description': 'Business-focused real-time local area network', 'start_date': datetime.datetime(2012, 6, 4, 17, 49, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 24, 23, 34, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 4, 19, 48, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b4ab071-a7a3-493f-855b-b5c67a34f9bb', 'end_date': datetime.datetime(2019, 4, 7, 6, 16, 49), 'start_time': datetime.datetime(2010, 7, 13, 0, 31, 13), 'rate': 5, 'updated_at': datetime.datetime(2011, 2, 5, 8, 28, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '0a4f5b87-df78-4141-8f54-d6a142f4ee3f', 'job_description': 'Vision-oriented transitional application', 'start_date': datetime.datetime(2016, 11, 14, 18, 3, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 19, 9, 39, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 20, 10, 36, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd5e66a50-2a98-4b83-b7e0-3aa030e00568', 'end_date': datetime.datetime(2018, 9, 15, 15, 13, 20), 'start_time': datetime.datetime(2015, 2, 13, 10, 41, 13), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 6, 0, 3, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
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{'_id': '8744fbcf-1d4f-41c1-bf59-8fb8c6ccdc41', 'job_description': 'Fundamental grid-enabled internet solution', 'start_date': datetime.datetime(2019, 4, 8, 1, 10, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 24, 6, 10, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 29, 22, 52, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8fdd2ec5-b4f6-4c54-83d0-26d03b553f1e', 'end_date': datetime.datetime(2010, 6, 7, 3, 32, 16), 'start_time': datetime.datetime(2018, 12, 4, 0, 33, 31), 'rate': 4, 'updated_at': datetime.datetime(2016, 4, 5, 13, 22, 50), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
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{'_id': 'aaf95b9e-f1d8-43d6-9fe9-b36b5d408226', 'job_description': 'Down-sized 3rd generation artificial intelligence', 'start_date': datetime.datetime(2014, 10, 1, 18, 21, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 31, 23, 42, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 5, 16, 36, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b083d5c6-f9da-4659-b296-ff01e874fd16', 'end_date': datetime.datetime(2016, 8, 17, 22, 49, 25), 'start_time': datetime.datetime(2014, 10, 31, 12, 42, 55), 'rate': 1, 'updated_at': datetime.datetime(2013, 12, 11, 12, 26, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Cyprus', 'special_note': 'thanks'}
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{'_id': 'c3d43cc2-4d0a-4c1c-ae48-9d71c13b6c91', 'job_description': 'Multi-layered clear-thinking array', 'start_date': datetime.datetime(2012, 6, 7, 22, 36, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 22, 14, 34, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 2, 0, 31, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ad6441a4-1fbc-443c-8684-d4c316a7708a', 'end_date': datetime.datetime(2013, 10, 8, 12, 16, 2), 'start_time': datetime.datetime(2013, 7, 17, 11, 50, 20), 'rate': 2, 'updated_at': datetime.datetime(2018, 7, 24, 3, 48, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': '7b447362-95ba-4973-8784-85a839084949', 'job_description': 'Virtual tangible alliance', 'start_date': datetime.datetime(2014, 10, 26, 19, 29, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 6, 5, 51, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 26, 6, 45, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '97b1d2d4-c276-44c3-aab2-497517acc4a5', 'end_date': datetime.datetime(2019, 6, 7, 20, 26, 5), 'start_time': datetime.datetime(2018, 11, 22, 22, 45, 46), 'rate': 4, 'updated_at': datetime.datetime(2015, 12, 23, 3, 52, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
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{'_id': 'd10aece2-0ceb-4c4a-91ca-58b3ca082bc1', 'job_description': 'Ergonomic zero defect function', 'start_date': datetime.datetime(2012, 6, 25, 6, 32, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 7, 11, 2, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 13, 12, 58, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '06d8232c-1d9c-4afa-ba0a-57186ee4a2bd', 'end_date': datetime.datetime(2017, 11, 7, 10, 35, 2), 'start_time': datetime.datetime(2011, 7, 21, 0, 13, 32), 'rate': 5, 'updated_at': datetime.datetime(2017, 10, 3, 0, 43, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
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{'_id': '185242d2-d71e-43ef-a0a8-9a45d39c2256', 'job_description': 'Digitized multi-tasking functionalities', 'start_date': datetime.datetime(2013, 1, 6, 19, 43, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 24, 14, 20, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 26, 17, 7, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '63844dd4-2a0c-4202-92ff-4ad70c05812a', 'end_date': datetime.datetime(2010, 11, 9, 1, 38, 49), 'start_time': datetime.datetime(2013, 7, 12, 6, 2, 45), 'rate': 4, 'updated_at': datetime.datetime(2016, 4, 2, 21, 15, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
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{'_id': 'b41da1fa-4662-48ff-95b6-12beee152437', 'job_description': 'Ameliorated executive capacity', 'start_date': datetime.datetime(2010, 10, 31, 14, 21, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 29, 14, 37, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 25, 7, 6, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea402f04-0370-4968-916b-e87b507741cb', 'end_date': datetime.datetime(2017, 5, 31, 21, 3, 14), 'start_time': datetime.datetime(2013, 3, 13, 10, 38, 13), 'rate': 2, 'updated_at': datetime.datetime(2016, 5, 2, 11, 13, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
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{'_id': '89000e58-6fcd-4eae-a152-724facad3810', 'job_description': 'Secured interactive monitoring', 'start_date': datetime.datetime(2016, 1, 11, 11, 39, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 13, 8, 19, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 7, 17, 24, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e6a79549-8996-408d-b258-20e4129428b7', 'end_date': datetime.datetime(2019, 5, 6, 6, 37), 'start_time': datetime.datetime(2017, 12, 24, 21, 32, 21), 'rate': 4, 'updated_at': datetime.datetime(2017, 12, 11, 8, 26, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
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{'_id': '9c211257-183a-4722-a00f-c5b0aeef1c7f', 'job_description': 'Universal 5th generation policy', 'start_date': datetime.datetime(2012, 1, 3, 22, 55, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 27, 11, 38, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 18, 1, 39, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9acf18f5-9e8b-47b5-af11-4db4488811cb', 'end_date': datetime.datetime(2016, 10, 31, 2, 57, 20), 'start_time': datetime.datetime(2018, 7, 31, 12, 29, 28), 'rate': 5, 'updated_at': datetime.datetime(2013, 5, 29, 7, 42, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
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{'_id': '72a1e80f-c462-46d9-8fa2-b5ee9d020559', 'job_description': 'Synergized bottom-line monitoring', 'start_date': datetime.datetime(2016, 5, 16, 9, 54, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 17, 21, 57, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 1, 23, 5, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '857029c6-a3f8-4ea2-b68d-f3f6cd500386', 'end_date': datetime.datetime(2016, 7, 19, 23, 40, 36), 'start_time': datetime.datetime(2013, 7, 8, 13, 23, 59), 'rate': 2, 'updated_at': datetime.datetime(2016, 7, 7, 20, 52, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
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{'_id': '3345c8e0-ff18-4d41-879d-7df1a4cdb21d', 'job_description': 'Innovative system-worthy challenge', 'start_date': datetime.datetime(2018, 11, 5, 8, 44, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 3, 9, 53, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 6, 7, 33, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1981b4f8-6d0f-4814-a326-9d6955abe0f7', 'end_date': datetime.datetime(2010, 12, 6, 23, 52, 31), 'start_time': datetime.datetime(2019, 3, 31, 1, 11, 50), 'rate': 5, 'updated_at': datetime.datetime(2014, 10, 7, 7, 15, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
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{'_id': 'be28ff97-1e7f-427f-aa7c-d1b03dc4f8eb', 'job_description': 'Proactive next generation array', 'start_date': datetime.datetime(2014, 3, 17, 12, 18, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 13, 18, 39, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 17, 16, 36, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4e7ab2e8-5af4-4c8b-a541-d7604a5346d3', 'end_date': datetime.datetime(2012, 7, 16, 12, 40, 47), 'start_time': datetime.datetime(2019, 6, 18, 11, 58, 40), 'rate': 3, 'updated_at': datetime.datetime(2010, 1, 14, 15, 41, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
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{'_id': 'e12e9c0b-3704-4a57-947b-e555448a6cff', 'job_description': 'Reverse-engineered directional Graphic Interface', 'start_date': datetime.datetime(2012, 11, 13, 18, 33, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 15, 22, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 21, 17, 26, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6c7269d1-27aa-4753-aafe-5b7601cd9fb0', 'end_date': datetime.datetime(2019, 2, 18, 23, 17, 24), 'start_time': datetime.datetime(2017, 3, 29, 0, 12, 31), 'rate': 5, 'updated_at': datetime.datetime(2013, 9, 14, 0, 3, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
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{'_id': 'c0399241-969b-4c93-9a58-cda1b9cd4614', 'job_description': 'Triple-buffered impactful leverage', 'start_date': datetime.datetime(2013, 11, 29, 10, 56, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 23, 23, 27, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 3, 19, 10, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b8dbc099-2d9a-448d-b463-ea67bbf2d414', 'end_date': datetime.datetime(2014, 2, 11, 19, 51, 45), 'start_time': datetime.datetime(2016, 6, 19, 23, 56, 57), 'rate': 2, 'updated_at': datetime.datetime(2014, 4, 26, 18, 34, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
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{'_id': 'f8293bb3-13e3-49cc-b5ca-09a9c8ab822b', 'job_description': 'Customizable bifurcated approach', 'start_date': datetime.datetime(2016, 9, 26, 4, 5, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 22, 5, 51, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 20, 7, 40, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6883e872-f2d8-4b1d-a76e-277cdd884128', 'end_date': datetime.datetime(2012, 12, 16, 22, 47, 20), 'start_time': datetime.datetime(2015, 7, 3, 0, 55, 55), 'rate': 4, 'updated_at': datetime.datetime(2019, 2, 19, 16, 14, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
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{'_id': 'c28f7761-8d4e-4d0a-8296-0fb5a550386f', 'job_description': 'Switchable bi-directional help-desk', 'start_date': datetime.datetime(2015, 11, 15, 22, 2, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 5, 6, 38, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 2, 9, 49, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f455e1db-9424-417e-964f-e7258348b25b', 'end_date': datetime.datetime(2018, 10, 20, 12, 26, 32), 'start_time': datetime.datetime(2010, 11, 28, 7, 30, 7), 'rate': 4, 'updated_at': datetime.datetime(2018, 2, 6, 3, 2, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': '94f0323a-356a-4e99-88b2-dc15d34b5825', 'job_description': 'Face to face global firmware', 'start_date': datetime.datetime(2012, 3, 31, 5, 24, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 27, 15, 28, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 21, 11, 4, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '05ab4fed-606a-4ce5-81e2-773a5a96221c', 'end_date': datetime.datetime(2011, 1, 23, 13, 4, 30), 'start_time': datetime.datetime(2019, 10, 1, 20, 6, 16), 'rate': 4, 'updated_at': datetime.datetime(2014, 6, 30, 0, 52, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1208fab7-a116-402a-b589-e12f1106f176', 'job_description': 'Open-architected value-added focus group', 'start_date': datetime.datetime(2011, 3, 30, 14, 15, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 12, 12, 19, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 23, 21, 3, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0159f9c-95e3-4e06-9632-079f9cb35267', 'end_date': datetime.datetime(2012, 11, 1, 1, 25, 56), 'start_time': datetime.datetime(2018, 11, 7, 1, 7, 56), 'rate': 3, 'updated_at': datetime.datetime(2016, 11, 29, 19, 34, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fd7bc226-6a29-4990-821d-bd4afd8ff61e', 'job_description': 'Synergistic global product', 'start_date': datetime.datetime(2011, 7, 29, 10, 13, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 24, 2, 42, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 9, 12, 12, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'beb41c4b-5a99-4605-b8f1-e13937caee48', 'end_date': datetime.datetime(2012, 12, 21, 7, 41, 3), 'start_time': datetime.datetime(2018, 1, 26, 16, 0, 42), 'rate': 2, 'updated_at': datetime.datetime(2016, 1, 23, 5, 23, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
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{'_id': '833a3934-304a-4e40-9ee4-7a87b2a78251', 'job_description': 'Persistent 4th generation challenge', 'start_date': datetime.datetime(2017, 12, 21, 12, 5, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 12, 4, 57, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 21, 10, 57, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '68a46fc6-09ab-4176-a9e0-55a6a842ab2e', 'end_date': datetime.datetime(2015, 5, 9, 15, 54, 41), 'start_time': datetime.datetime(2014, 7, 14, 3, 42, 5), 'rate': 3, 'updated_at': datetime.datetime(2014, 11, 7, 11, 16, 2), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cf2fc004-b1ae-453f-a168-dfac12d31d30', 'job_description': 'Re-contextualized well-modulated Graphical User Interface', 'start_date': datetime.datetime(2017, 6, 16, 7, 6, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 27, 11, 26, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 30, 19, 4, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bf4a9cb1-9783-4b65-968a-a09f0c6d57b6', 'end_date': datetime.datetime(2010, 4, 16, 2, 25, 3), 'start_time': datetime.datetime(2014, 5, 18, 20, 33, 4), 'rate': 5, 'updated_at': datetime.datetime(2012, 12, 4, 1, 5, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
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{'_id': '425739c6-bf1b-41af-ac57-c97346e06475', 'job_description': 'Multi-channelled responsive open architecture', 'start_date': datetime.datetime(2013, 2, 27, 21, 32, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 30, 20, 18, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 26, 15, 45, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4445881a-2f92-4d8b-ad85-a4db0bf1f6e7', 'end_date': datetime.datetime(2019, 1, 23, 1, 54, 53), 'start_time': datetime.datetime(2011, 12, 19, 12, 40, 49), 'rate': 1, 'updated_at': datetime.datetime(2019, 11, 9, 19, 0, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4fbd1308-d74c-4d21-9baf-a1a4f7baa926', 'job_description': 'Upgradable solution-oriented ability', 'start_date': datetime.datetime(2018, 5, 13, 18, 37, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 25, 7, 16, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 6, 8, 2, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '78ce10f3-f7db-4746-9659-de0309f2d013', 'end_date': datetime.datetime(2018, 8, 8, 10, 33, 6), 'start_time': datetime.datetime(2011, 11, 18, 4, 17, 36), 'rate': 1, 'updated_at': datetime.datetime(2012, 3, 10, 18, 2, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Grenada', 'special_note': 'thanks'}
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{'_id': '10e3e565-1f21-41bf-8dde-04998617ad18', 'job_description': 'Seamless encompassing matrices', 'start_date': datetime.datetime(2019, 7, 17, 7, 22, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 7, 8, 52, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 24, 20, 44, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2ae47a88-76c2-4ae2-a157-331308e4bde0', 'end_date': datetime.datetime(2012, 1, 26, 15, 25, 27), 'start_time': datetime.datetime(2014, 8, 22, 2, 20, 44), 'rate': 5, 'updated_at': datetime.datetime(2013, 5, 10, 13, 35, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
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{'_id': '65fb81de-7aee-4327-a755-f1cc255def23', 'job_description': 'Focused context-sensitive attitude', 'start_date': datetime.datetime(2016, 9, 3, 20, 1, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 23, 22, 45, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 14, 9, 21, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4fbc5268-828e-4138-bae8-a5ec7272be78', 'end_date': datetime.datetime(2012, 7, 28, 4, 26, 21), 'start_time': datetime.datetime(2018, 2, 26, 6, 3, 31), 'rate': 4, 'updated_at': datetime.datetime(2012, 5, 28, 10, 32, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
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{'_id': '9a271486-718b-4b4f-81f9-e4d4ef0ae0c0', 'job_description': 'Universal regional firmware', 'start_date': datetime.datetime(2018, 11, 21, 7, 36, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 31, 16, 11, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 3, 22, 40, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '610279cd-247d-4c38-8bc8-fb93428aa942', 'end_date': datetime.datetime(2019, 10, 13, 23, 3, 12), 'start_time': datetime.datetime(2015, 8, 5, 19, 11, 43), 'rate': 2, 'updated_at': datetime.datetime(2010, 9, 24, 15, 57, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Bangladesh', 'special_note': 'thanks'}
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{'_id': 'fbeb4de4-3a72-4b0b-876d-1e9109ca9ca1', 'job_description': 'Expanded optimizing help-desk', 'start_date': datetime.datetime(2013, 1, 6, 9, 25, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 15, 7, 13, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 13, 5, 20, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4fdbf1fd-b047-4bfb-bc6f-4fbd1ab6a567', 'end_date': datetime.datetime(2015, 3, 5, 0, 48, 49), 'start_time': datetime.datetime(2019, 6, 5, 1, 34, 20), 'rate': 5, 'updated_at': datetime.datetime(2016, 4, 5, 3, 59, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
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{'_id': '87be1ca0-7820-43a6-9508-5af5a89cbff8', 'job_description': 'Down-sized assymetric matrices', 'start_date': datetime.datetime(2014, 7, 7, 10, 41, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 31, 0, 20, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 9, 6, 46, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '562340f2-2615-4e82-98c0-b31c9482c9a5', 'end_date': datetime.datetime(2013, 5, 11, 10, 8, 42), 'start_time': datetime.datetime(2017, 12, 20, 23, 45, 23), 'rate': 3, 'updated_at': datetime.datetime(2013, 6, 23, 4, 4, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
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{'_id': 'a13dd930-578a-414f-aa9e-e0d6e7633dbf', 'job_description': 'Cross-group intermediate application', 'start_date': datetime.datetime(2011, 2, 27, 22, 44, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 31, 5, 24, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 17, 12, 13, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6bad3245-ef9f-4810-bfda-c82da3a4b35e', 'end_date': datetime.datetime(2013, 12, 11, 1, 49, 28), 'start_time': datetime.datetime(2013, 2, 18, 20, 37, 19), 'rate': 2, 'updated_at': datetime.datetime(2010, 7, 16, 4, 20, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
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{'_id': 'a435a74f-7787-4827-b033-fe2b3d8d337b', 'job_description': 'Optimized optimizing software', 'start_date': datetime.datetime(2012, 10, 19, 22, 44, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 16, 7, 2, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 9, 9, 56, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bbccd907-d5f2-4e75-8ed0-ea2b669dc0c0', 'end_date': datetime.datetime(2018, 3, 4, 14, 36, 56), 'start_time': datetime.datetime(2011, 6, 13, 9, 30, 1), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 18, 16, 51, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
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{'_id': '33fcd8ed-eb8b-42f2-974c-aa5fd9b0b380', 'job_description': 'Synergistic needs-based solution', 'start_date': datetime.datetime(2018, 1, 29, 10, 18, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 13, 13, 11, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 25, 11, 12, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2c2e39ab-bdcf-41ce-9487-0fb25ea4f572', 'end_date': datetime.datetime(2018, 12, 21, 19, 3, 58), 'start_time': datetime.datetime(2015, 4, 20, 5, 33, 46), 'rate': 3, 'updated_at': datetime.datetime(2013, 10, 11, 14, 33, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
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{'_id': '937f6914-3fb0-4d4f-b49c-60589031c3c3', 'job_description': 'Front-line dedicated orchestration', 'start_date': datetime.datetime(2019, 5, 6, 13, 44, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 20, 3, 29, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 15, 5, 24, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd508a62d-8988-494c-b451-058ae6c0a98e', 'end_date': datetime.datetime(2011, 3, 11, 0, 51), 'start_time': datetime.datetime(2014, 4, 4, 5, 31, 12), 'rate': 4, 'updated_at': datetime.datetime(2019, 9, 28, 7, 40, 4), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
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{'_id': 'ccbf0ae9-7964-4ac7-9dd3-c831beee825e', 'job_description': 'Multi-lateral 5th generation Graphical User Interface', 'start_date': datetime.datetime(2018, 11, 1, 20, 51, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 27, 1, 10, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 23, 4, 11, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '634402cd-28b8-4ee5-9eab-936ddc2952a3', 'end_date': datetime.datetime(2015, 9, 30, 13, 31, 31), 'start_time': datetime.datetime(2011, 11, 23, 0, 55, 36), 'rate': 4, 'updated_at': datetime.datetime(2015, 11, 26, 4, 44, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
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{'_id': '43a55aa1-b6b3-4647-932f-c7911fd0a61a', 'job_description': 'Team-oriented impactful methodology', 'start_date': datetime.datetime(2018, 3, 21, 23, 24, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 5, 0, 4, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 12, 14, 40, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cadf8efd-e73e-42a9-9646-e3fcdc02f9ca', 'end_date': datetime.datetime(2013, 5, 6, 20, 22, 37), 'start_time': datetime.datetime(2016, 7, 17, 14, 38, 12), 'rate': 1, 'updated_at': datetime.datetime(2013, 9, 8, 23, 43, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Anguilla', 'special_note': 'thanks'}
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{'_id': '6cf154f5-30d3-4cb0-bf19-75c4e95fbd92', 'job_description': 'Mandatory bottom-line superstructure', 'start_date': datetime.datetime(2012, 10, 29, 10, 1, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 13, 8, 29, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 20, 20, 28, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd00daa38-d5f8-422a-a9cc-9e7725e805f3', 'end_date': datetime.datetime(2016, 3, 4, 1, 58, 43), 'start_time': datetime.datetime(2014, 1, 1, 20, 37, 26), 'rate': 1, 'updated_at': datetime.datetime(2012, 9, 28, 0, 50, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
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{'_id': 'f7d9c5dc-6208-4c09-816b-596dee109a38', 'job_description': 'Function-based dedicated projection', 'start_date': datetime.datetime(2010, 4, 21, 10, 11, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 6, 6, 41, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 29, 7, 43, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '18daf627-ca30-4004-b12a-87bd7d7b500f', 'end_date': datetime.datetime(2018, 2, 6, 10, 41, 59), 'start_time': datetime.datetime(2014, 5, 30, 1, 55, 29), 'rate': 1, 'updated_at': datetime.datetime(2011, 5, 3, 17, 48, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Kenya', 'special_note': 'thanks'}
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{'_id': '44855802-ac8a-4c51-869d-39c693e6975e', 'job_description': 'Up-sized object-oriented benchmark', 'start_date': datetime.datetime(2013, 9, 30, 3, 57, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 17, 4, 19, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 19, 7, 25, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '67b81014-668f-4ee0-b24e-d92ef8353951', 'end_date': datetime.datetime(2010, 7, 30, 2, 39, 52), 'start_time': datetime.datetime(2013, 6, 23, 12, 42, 15), 'rate': 3, 'updated_at': datetime.datetime(2017, 10, 27, 4, 37, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
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{'_id': 'cb7baab9-53e5-4fb8-9bdf-cc0ac746847f', 'job_description': 'Persevering clear-thinking database', 'start_date': datetime.datetime(2014, 7, 20, 15, 15, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 25, 23, 12, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 26, 20, 18, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '69d1ada1-3182-4882-a124-22d72732e240', 'end_date': datetime.datetime(2017, 7, 12, 9, 49, 55), 'start_time': datetime.datetime(2010, 1, 15, 23, 2, 45), 'rate': 4, 'updated_at': datetime.datetime(2013, 1, 11, 5, 46, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': '2e2af007-7d49-4cfc-b7bb-23343e3285cf', 'job_description': 'Total directional infrastructure', 'start_date': datetime.datetime(2012, 1, 31, 20, 49, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 4, 0, 35, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 31, 11, 55, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ec4f75c4-9153-449f-9702-5323dc53b5c5', 'end_date': datetime.datetime(2014, 10, 7, 12, 50, 16), 'start_time': datetime.datetime(2018, 11, 17, 23, 18, 17), 'rate': 2, 'updated_at': datetime.datetime(2017, 5, 8, 11, 30, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1b6bde04-23e7-4667-b51c-7774cfd36a7f', 'job_description': 'Proactive fault-tolerant core', 'start_date': datetime.datetime(2017, 7, 15, 9, 8, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 28, 1, 45, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 5, 19, 2, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aae22cc2-a29a-4bb4-aaa5-a90730429a5d', 'end_date': datetime.datetime(2019, 5, 25, 0, 43, 37), 'start_time': datetime.datetime(2018, 7, 4, 15, 27, 53), 'rate': 5, 'updated_at': datetime.datetime(2012, 12, 3, 8, 30, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': 'f4ae0f4a-1242-45ce-83a8-fde1ef054051', 'job_description': 'Cross-group transitional standardization', 'start_date': datetime.datetime(2014, 1, 15, 23, 53, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 21, 7, 58, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 19, 9, 7, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c6efd274-5759-4096-ae2c-facac61157f3', 'end_date': datetime.datetime(2013, 8, 31, 12, 35, 58), 'start_time': datetime.datetime(2012, 12, 11, 1, 40, 52), 'rate': 5, 'updated_at': datetime.datetime(2014, 3, 10, 15, 41, 56), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cc88b605-12ee-40b2-ad51-b43b22c3b717', 'job_description': 'Balanced holistic system engine', 'start_date': datetime.datetime(2011, 7, 15, 0, 7, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 11, 23, 41, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 13, 11, 40, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '069a9a03-129b-4143-a47b-3da3c5ba67b1', 'end_date': datetime.datetime(2017, 3, 23, 13, 3, 27), 'start_time': datetime.datetime(2016, 2, 12, 12, 19, 30), 'rate': 3, 'updated_at': datetime.datetime(2010, 9, 24, 2, 47, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Iraq', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2e9ac25d-8ed4-4563-8fe9-f2a94c91e33d', 'job_description': 'Progressive local process improvement', 'start_date': datetime.datetime(2015, 7, 13, 19, 7, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 18, 22, 50, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 24, 6, 12, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6aa5135d-34aa-4217-a5bd-d053c4f97bba', 'end_date': datetime.datetime(2014, 1, 3, 17, 46, 14), 'start_time': datetime.datetime(2013, 10, 3, 4, 13, 41), 'rate': 3, 'updated_at': datetime.datetime(2011, 2, 8, 11, 21, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bd5c5cb8-0854-4b74-a4b7-0b9ea95c0ae7', 'job_description': 'Multi-lateral client-server project', 'start_date': datetime.datetime(2013, 5, 29, 19, 2, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 19, 9, 58, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 18, 0, 5, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'daab9313-c0fe-4b42-9878-fb03b2aa855d', 'end_date': datetime.datetime(2019, 11, 8, 12, 6, 23), 'start_time': datetime.datetime(2016, 6, 16, 23, 31, 25), 'rate': 1, 'updated_at': datetime.datetime(2017, 7, 6, 1, 20, 17), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2a26cc5b-ad5c-4073-b8a0-e2e061c07d4a', 'job_description': 'Optimized systematic process improvement', 'start_date': datetime.datetime(2011, 9, 9, 7, 56, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 28, 19, 19, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 18, 9, 15, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '26082d7c-0bd0-4c31-9d19-b4eb8ef38b74', 'end_date': datetime.datetime(2015, 4, 19, 21, 41, 28), 'start_time': datetime.datetime(2016, 2, 19, 16, 50, 9), 'rate': 5, 'updated_at': datetime.datetime(2016, 2, 29, 3, 42, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Finland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a8514d04-1dca-4bc0-924b-cc10f7241a8f', 'job_description': 'Organic local monitoring', 'start_date': datetime.datetime(2015, 3, 31, 18, 23, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 7, 0, 24, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 10, 4, 8, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9e218c98-f451-48fd-9769-50f95d488681', 'end_date': datetime.datetime(2014, 8, 10, 19, 49, 41), 'start_time': datetime.datetime(2011, 2, 25, 16, 1, 4), 'rate': 3, 'updated_at': datetime.datetime(2019, 8, 7, 3, 23, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a136b215-07e7-43a0-9170-900525c111a5', 'job_description': 'Implemented reciprocal methodology', 'start_date': datetime.datetime(2015, 12, 5, 2, 21, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 7, 6, 45, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 22, 12, 56, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'caf81f14-4fac-49bd-aaeb-b3bca90e76be', 'end_date': datetime.datetime(2014, 3, 17, 23, 14, 58), 'start_time': datetime.datetime(2016, 5, 7, 19, 55, 25), 'rate': 2, 'updated_at': datetime.datetime(2016, 5, 28, 7, 35, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8e4b3967-616d-4023-a355-bb80546c94e8', 'job_description': 'Managed explicit website', 'start_date': datetime.datetime(2013, 7, 24, 2, 16, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 29, 11, 48, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 11, 7, 53, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6e9cff44-e22e-40f4-bfe2-ebfadcb25186', 'end_date': datetime.datetime(2019, 6, 21, 17, 39, 25), 'start_time': datetime.datetime(2016, 8, 20, 11, 59, 22), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 25, 3, 6, 31), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e044df9f-7fdb-4125-bb9d-dd9b042a4931', 'job_description': 'Virtual systemic utilisation', 'start_date': datetime.datetime(2015, 11, 16, 5, 4, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 12, 18, 33, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 28, 8, 20, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '72475f49-04b3-4ac1-8102-6dd2107b9d38', 'end_date': datetime.datetime(2016, 7, 29, 5, 46, 38), 'start_time': datetime.datetime(2016, 3, 16, 14, 34, 34), 'rate': 2, 'updated_at': datetime.datetime(2014, 11, 4, 18, 29, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '177ad2b5-ac27-4b66-aa50-340b5b6963eb', 'job_description': 'Switchable mission-critical architecture', 'start_date': datetime.datetime(2019, 4, 6, 19, 35, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 14, 9, 34, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 30, 14, 27, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3109ed3c-b91d-4a81-9518-e8ad5fa085fa', 'end_date': datetime.datetime(2017, 3, 1, 2, 23, 31), 'start_time': datetime.datetime(2013, 8, 12, 1, 12, 32), 'rate': 3, 'updated_at': datetime.datetime(2012, 6, 29, 21, 25, 57), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '248e61d3-bbaf-4d28-ab0a-05d36fb609cb', 'job_description': 'Automated eco-centric secured line', 'start_date': datetime.datetime(2011, 8, 16, 8, 31, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 14, 16, 30, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 19, 19, 58, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '659030a4-72fd-4377-8ae3-d89399705ee2', 'end_date': datetime.datetime(2017, 9, 6, 16, 43, 53), 'start_time': datetime.datetime(2018, 3, 15, 0, 5, 45), 'rate': 5, 'updated_at': datetime.datetime(2014, 8, 17, 17, 15, 5), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '21f759bc-ff82-4b90-b898-27691febf379', 'job_description': 'Open-source intermediate service-desk', 'start_date': datetime.datetime(2017, 7, 30, 18, 15, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 4, 10, 28, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 9, 12, 49, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ae42c42-576c-4e1b-9feb-18715ce69d22', 'end_date': datetime.datetime(2013, 9, 22, 8, 42, 10), 'start_time': datetime.datetime(2011, 5, 9, 0, 3, 40), 'rate': 1, 'updated_at': datetime.datetime(2010, 1, 24, 18, 12, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'df5f72ef-1c61-45de-a7a1-f0e282ede1b4', 'job_description': 'Polarised 4th generation functionalities', 'start_date': datetime.datetime(2012, 7, 8, 20, 19, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 8, 23, 24, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 8, 18, 54, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c5e2f29b-4728-44f1-812c-63199e1b4f08', 'end_date': datetime.datetime(2017, 2, 13, 17, 26, 1), 'start_time': datetime.datetime(2014, 12, 17, 3, 26, 1), 'rate': 5, 'updated_at': datetime.datetime(2015, 12, 11, 22, 31, 21), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd47a1e94-87a6-46ea-95dc-4ce8d358494c', 'job_description': 'Grass-roots local time-frame', 'start_date': datetime.datetime(2016, 8, 11, 15, 17, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 29, 8, 18, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 12, 23, 3, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '46284ea9-5e6b-4073-b928-f2b3aeece3f9', 'end_date': datetime.datetime(2011, 3, 28, 11, 13, 42), 'start_time': datetime.datetime(2015, 9, 17, 7, 30, 41), 'rate': 4, 'updated_at': datetime.datetime(2018, 5, 18, 7, 38, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7d742164-645f-4769-a264-792ec191cfbd', 'job_description': 'Distributed contextually-based architecture', 'start_date': datetime.datetime(2013, 12, 9, 5, 53, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 14, 1, 29, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 1, 1, 39, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '48682b85-789b-4103-8d70-1d23968335a2', 'end_date': datetime.datetime(2019, 5, 14, 2, 0, 8), 'start_time': datetime.datetime(2013, 9, 10, 8, 29, 39), 'rate': 3, 'updated_at': datetime.datetime(2018, 8, 5, 13, 38, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c528aa51-17d1-4073-859a-9ddfa6f60806', 'job_description': 'Down-sized directional database', 'start_date': datetime.datetime(2019, 8, 4, 5, 22, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 20, 9, 5, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 10, 20, 19, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea9dba77-f22f-4550-b1fa-e373caaa076c', 'end_date': datetime.datetime(2013, 11, 8, 10, 41, 9), 'start_time': datetime.datetime(2015, 2, 20, 0, 30, 22), 'rate': 3, 'updated_at': datetime.datetime(2017, 7, 11, 1, 1, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Costa Rica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4eebab4f-e967-4988-a14a-4fb5aef6470a', 'job_description': 'Synergistic optimizing intranet', 'start_date': datetime.datetime(2011, 3, 18, 21, 14, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 10, 13, 37, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 9, 18, 27, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ee4fdad5-944d-4db1-8140-ac1dfe8d5a98', 'end_date': datetime.datetime(2011, 10, 31, 15, 9, 4), 'start_time': datetime.datetime(2014, 12, 12, 14, 23, 42), 'rate': 5, 'updated_at': datetime.datetime(2012, 5, 22, 3, 39, 57), 'job_title': 'CoffeeMaker', 'service_id': 'United States Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '595ade10-a9e3-4e61-9027-48b3d501975b', 'job_description': 'Seamless bandwidth-monitored function', 'start_date': datetime.datetime(2017, 3, 27, 13, 53, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 23, 4, 37, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 31, 15, 52, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb04d119-5d41-466c-9a1b-54d989c8fd89', 'end_date': datetime.datetime(2019, 8, 3, 1, 33, 22), 'start_time': datetime.datetime(2015, 4, 18, 8, 26, 34), 'rate': 5, 'updated_at': datetime.datetime(2019, 10, 11, 4, 50, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f2bfe8ff-89ee-4158-884e-4bc420cefb51', 'job_description': 'Integrated 5th generation local area network', 'start_date': datetime.datetime(2013, 7, 31, 17, 49, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 25, 19, 39, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 22, 15, 2, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6be28966-d34b-4235-84d8-21bf24c11e54', 'end_date': datetime.datetime(2013, 8, 15, 1, 0, 24), 'start_time': datetime.datetime(2011, 7, 5, 13, 16, 20), 'rate': 5, 'updated_at': datetime.datetime(2011, 5, 15, 21, 49, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ccaa74ed-2e0c-442e-8ab5-260e98d7bacb', 'job_description': 'Re-contextualized needs-based forecast', 'start_date': datetime.datetime(2015, 11, 25, 5, 57, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 11, 7, 30, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 22, 8, 26, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '85059c4e-be06-4303-b6c4-898e894cedb7', 'end_date': datetime.datetime(2012, 12, 16, 13, 25, 10), 'start_time': datetime.datetime(2019, 8, 18, 20, 31, 38), 'rate': 2, 'updated_at': datetime.datetime(2018, 3, 9, 23, 45, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1271b5c1-9b84-4705-83e5-0de96c38cfb8', 'job_description': 'Monitored heuristic strategy', 'start_date': datetime.datetime(2013, 7, 10, 0, 56, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 30, 11, 15, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 29, 5, 55, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '981ff899-8171-4c94-85a0-9453354cd1b2', 'end_date': datetime.datetime(2010, 10, 16, 15, 50, 3), 'start_time': datetime.datetime(2014, 3, 4, 11, 50, 56), 'rate': 1, 'updated_at': datetime.datetime(2012, 8, 16, 14, 4, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9862daf3-94b8-456f-a409-5e60ed996b83', 'job_description': 'Team-oriented tangible matrices', 'start_date': datetime.datetime(2014, 1, 3, 10, 38, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 26, 10, 56, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 12, 3, 7, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b1452010-f26c-49b9-8fda-fd874460cf7e', 'end_date': datetime.datetime(2011, 5, 7, 3, 57, 18), 'start_time': datetime.datetime(2018, 3, 6, 18, 54, 43), 'rate': 2, 'updated_at': datetime.datetime(2013, 12, 29, 11, 19, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Equatorial Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35ea2df3-6a8e-435a-a423-0f395d0b9209', 'job_description': 'Reverse-engineered logistical knowledge base', 'start_date': datetime.datetime(2019, 6, 27, 0, 22, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 6, 12, 28, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 22, 21, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '91d22584-76e9-4307-bb09-f9f11866b5d1', 'end_date': datetime.datetime(2012, 7, 5, 11, 9, 55), 'start_time': datetime.datetime(2015, 11, 27, 0, 21, 30), 'rate': 4, 'updated_at': datetime.datetime(2011, 3, 22, 18, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c0745092-9077-4b5d-a04a-751c7a599293', 'job_description': 'Stand-alone attitude-oriented flexibility', 'start_date': datetime.datetime(2011, 12, 19, 17, 28, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 24, 21, 54, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 18, 19, 21, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '827d684b-ff5e-4c21-af97-6c28a505161b', 'end_date': datetime.datetime(2015, 3, 29, 11, 13, 18), 'start_time': datetime.datetime(2011, 7, 28, 21, 2, 11), 'rate': 5, 'updated_at': datetime.datetime(2014, 7, 15, 5, 42, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7d229cbc-2010-4c29-837a-0815d8d11d7e', 'job_description': 'Quality-focused non-volatile analyzer', 'start_date': datetime.datetime(2014, 2, 3, 8, 0, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 26, 11, 53, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 14, 22, 50, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1e9d8351-62e6-45c3-9e08-5808e1af8108', 'end_date': datetime.datetime(2014, 4, 11, 20, 46, 14), 'start_time': datetime.datetime(2010, 11, 15, 1, 59, 45), 'rate': 1, 'updated_at': datetime.datetime(2013, 10, 23, 22, 53, 33), 'job_title': 'CoffeeMaker', 'service_id': 'French Polynesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ccd41923-71da-4934-9ba1-65b44e16c7bb', 'job_description': 'Digitized motivating middleware', 'start_date': datetime.datetime(2014, 12, 20, 6, 31, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 11, 3, 37, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 11, 4, 22, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf2a3d82-3e04-4fdf-a5be-44b4c3fed0ea', 'end_date': datetime.datetime(2018, 4, 18, 8, 5, 48), 'start_time': datetime.datetime(2013, 9, 29, 8, 43, 20), 'rate': 3, 'updated_at': datetime.datetime(2013, 12, 14, 17, 56, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '541e592e-e5f1-4508-b5ed-6591a8ab237c', 'job_description': 'Synchronised 24 hour challenge', 'start_date': datetime.datetime(2018, 8, 13, 21, 55, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 13, 12, 51, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 23, 6, 50, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5229e71-5e45-47c6-8f33-c7c20bed7658', 'end_date': datetime.datetime(2010, 12, 14, 14, 38, 26), 'start_time': datetime.datetime(2019, 6, 8, 10, 13, 49), 'rate': 1, 'updated_at': datetime.datetime(2011, 2, 12, 22, 36, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1be1e6f6-c1f4-4f25-8ef8-2cb82e28ddcc', 'job_description': 'Programmable zero defect productivity', 'start_date': datetime.datetime(2012, 9, 30, 10, 31, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 31, 22, 10, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 12, 12, 36, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e32f8bd5-f559-42b5-a54d-97b669247c7d', 'end_date': datetime.datetime(2012, 11, 18, 17, 50, 25), 'start_time': datetime.datetime(2014, 12, 29, 17, 41, 30), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 24, 15, 21, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a9468c0c-ef08-4e24-9578-06c40aa31d66', 'job_description': 'Networked mobile data-warehouse', 'start_date': datetime.datetime(2014, 8, 15, 21, 37, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 4, 18, 5, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 31, 16, 6, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bf627044-e2ac-43c7-9fd7-c8052505c496', 'end_date': datetime.datetime(2017, 7, 8, 19, 29, 55), 'start_time': datetime.datetime(2015, 8, 5, 18, 37, 4), 'rate': 2, 'updated_at': datetime.datetime(2010, 6, 4, 10, 5, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Macedonia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '62eaa3dd-ebca-4df0-a858-17865cedcf0b', 'job_description': 'De-engineered encompassing parallelism', 'start_date': datetime.datetime(2019, 3, 15, 13, 57, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 22, 2, 5, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 30, 21, 49, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '76245533-4445-4c09-927c-15ce2a5cfa38', 'end_date': datetime.datetime(2013, 8, 30, 0, 9, 58), 'start_time': datetime.datetime(2016, 2, 18, 1, 26, 44), 'rate': 4, 'updated_at': datetime.datetime(2013, 12, 29, 22, 43, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '58b18163-c31a-4280-bfa4-82d1e4353c97', 'job_description': 'Integrated upward-trending protocol', 'start_date': datetime.datetime(2014, 10, 30, 1, 18, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 24, 4, 48, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 3, 15, 11, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c6080fbb-787c-4e7f-a8d1-d3e1c11d8b15', 'end_date': datetime.datetime(2015, 1, 1, 0, 44, 55), 'start_time': datetime.datetime(2017, 5, 20, 2, 27), 'rate': 5, 'updated_at': datetime.datetime(2010, 5, 10, 22, 35, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2cde7869-8197-4b5b-84e7-517f749eca3b', 'job_description': 'Implemented foreground interface', 'start_date': datetime.datetime(2012, 3, 1, 13, 17, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 20, 20, 12, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 4, 3, 13, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b7fa0b85-8f9d-4c0f-8ba6-c6691377edf1', 'end_date': datetime.datetime(2016, 11, 5, 19, 1, 6), 'start_time': datetime.datetime(2014, 8, 3, 12, 5, 30), 'rate': 2, 'updated_at': datetime.datetime(2012, 2, 10, 19, 5, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e28ea009-fd04-4c08-84e8-d2fdbfaed03c', 'job_description': 'Expanded directional circuit', 'start_date': datetime.datetime(2015, 4, 30, 6, 0, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 24, 8, 14, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 11, 19, 25, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b831fcf4-05cc-42ec-8052-5804bcc4b4c3', 'end_date': datetime.datetime(2017, 1, 16, 19, 51, 8), 'start_time': datetime.datetime(2019, 5, 15, 7, 55, 19), 'rate': 1, 'updated_at': datetime.datetime(2015, 12, 21, 13, 41, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '02a429b0-52a0-4937-99ea-60cba0921533', 'job_description': 'Horizontal optimizing architecture', 'start_date': datetime.datetime(2011, 7, 31, 21, 26, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 25, 2, 6, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 6, 0, 42, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ac0ffbae-d9f2-484c-be04-0e72e7b7eaca', 'end_date': datetime.datetime(2011, 2, 12, 22, 8, 15), 'start_time': datetime.datetime(2010, 6, 27, 20, 38, 46), 'rate': 4, 'updated_at': datetime.datetime(2018, 12, 16, 8, 39, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3a5562e9-51d6-4f10-96a4-72829e832472', 'job_description': 'Implemented regional capability', 'start_date': datetime.datetime(2017, 7, 19, 2, 1, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 2, 1, 54, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 25, 7, 52, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e10b905b-968d-4086-b9d0-24af333859e8', 'end_date': datetime.datetime(2011, 4, 13, 0, 50, 49), 'start_time': datetime.datetime(2017, 6, 20, 1, 5, 18), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 29, 17, 42, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '66f68223-7a17-4578-b587-c8adcc38d5e8', 'job_description': 'Switchable 6th generation synergy', 'start_date': datetime.datetime(2012, 1, 11, 18, 48, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 22, 4, 36, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 16, 2, 45, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'baa79671-20f7-4bbe-8925-d226c25d0a99', 'end_date': datetime.datetime(2010, 3, 3, 17, 8, 51), 'start_time': datetime.datetime(2014, 6, 18, 18, 2, 32), 'rate': 1, 'updated_at': datetime.datetime(2012, 12, 31, 10, 16, 28), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '796dcab8-a3b0-4bf6-a147-0bfab4e1d625', 'job_description': 'Face to face homogeneous project', 'start_date': datetime.datetime(2018, 5, 4, 22, 17, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 6, 21, 56, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 4, 8, 36, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a8054a76-3081-468b-a484-d1136d920aa6', 'end_date': datetime.datetime(2011, 7, 7, 15, 13, 24), 'start_time': datetime.datetime(2018, 4, 6, 9, 26), 'rate': 3, 'updated_at': datetime.datetime(2014, 3, 18, 16, 14, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd06e91f5-9f11-44db-b124-089193612655', 'job_description': 'Implemented intermediate array', 'start_date': datetime.datetime(2011, 3, 25, 2, 0, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 7, 18, 59, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 21, 2, 26, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0730c2cc-e4eb-4558-84b3-aa4267ded2de', 'end_date': datetime.datetime(2017, 12, 13, 23, 22, 29), 'start_time': datetime.datetime(2010, 7, 7, 15, 12, 35), 'rate': 4, 'updated_at': datetime.datetime(2013, 12, 4, 21, 24, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5e87b0d1-485d-401a-84d0-7b9912b58b11', 'job_description': 'Synergistic tangible leverage', 'start_date': datetime.datetime(2017, 5, 9, 22, 13, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 14, 4, 1, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 1, 3, 26, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b87c1c6c-15e4-42c6-8f28-3b95b16e7a30', 'end_date': datetime.datetime(2014, 12, 23, 0, 23, 42), 'start_time': datetime.datetime(2016, 2, 29, 8, 49, 28), 'rate': 3, 'updated_at': datetime.datetime(2017, 8, 13, 13, 33, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Sri Lanka', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1d9ffc7b-04bb-4483-9957-bc72bb55e0d0', 'job_description': 'Customer-focused global pricing structure', 'start_date': datetime.datetime(2017, 7, 8, 23, 54, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 18, 4, 26, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 2, 8, 54, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3af22776-9523-4ed1-9422-987a813d535d', 'end_date': datetime.datetime(2015, 3, 4, 4, 41, 46), 'start_time': datetime.datetime(2019, 5, 11, 17, 48, 44), 'rate': 3, 'updated_at': datetime.datetime(2014, 5, 10, 7, 26, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '78160642-0781-4a0e-803d-0f98208d2e3d', 'job_description': 'Realigned bifurcated collaboration', 'start_date': datetime.datetime(2014, 6, 18, 4, 18, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 21, 19, 20, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 2, 12, 6, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '46851e53-8bc0-43aa-9bb6-18495b774b2c', 'end_date': datetime.datetime(2015, 4, 12, 4, 18, 46), 'start_time': datetime.datetime(2013, 9, 9, 2, 58, 4), 'rate': 2, 'updated_at': datetime.datetime(2015, 5, 6, 18, 44, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cde3b914-b4ee-4364-8765-9237ed2cf5a9', 'job_description': 'Up-sized dynamic parallelism', 'start_date': datetime.datetime(2016, 4, 3, 9, 7, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 8, 19, 52, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 26, 23, 25, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ecf0ee78-d1a3-4ab6-b6b0-9fb51f630859', 'end_date': datetime.datetime(2017, 3, 6, 17, 8, 1), 'start_time': datetime.datetime(2018, 7, 16, 2, 20, 14), 'rate': 2, 'updated_at': datetime.datetime(2012, 6, 24, 5, 37, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a0357347-9b36-4433-838f-95fbf0ff35aa', 'job_description': 'Synergized even-keeled encoding', 'start_date': datetime.datetime(2014, 7, 6, 9, 54, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 2, 5, 5, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 21, 1, 19, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5baaa071-3a51-4a07-8f75-23ba1035fa7e', 'end_date': datetime.datetime(2010, 9, 9, 3, 0, 42), 'start_time': datetime.datetime(2012, 5, 19, 16, 41, 23), 'rate': 5, 'updated_at': datetime.datetime(2010, 9, 13, 11, 5, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1cb0f324-1102-40b9-806b-446b413e7a54', 'job_description': 'Multi-lateral static monitoring', 'start_date': datetime.datetime(2011, 4, 9, 14, 49, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 22, 21, 21, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 28, 17, 38, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9e40d328-303d-48d8-88da-d478d0eae081', 'end_date': datetime.datetime(2017, 12, 17, 0, 13, 36), 'start_time': datetime.datetime(2013, 5, 18, 13, 29, 24), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 3, 1, 41, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9b1f4300-668e-4a15-a69b-7ac961960fc0', 'job_description': 'Stand-alone system-worthy algorithm', 'start_date': datetime.datetime(2014, 10, 16, 11, 14, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 3, 20, 51, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 21, 5, 49, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ca0c1689-bdab-480e-bd10-61501cb51987', 'end_date': datetime.datetime(2017, 7, 18, 20, 17, 51), 'start_time': datetime.datetime(2010, 2, 17, 18, 9, 32), 'rate': 4, 'updated_at': datetime.datetime(2013, 11, 29, 6, 35, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aae0743e-f579-4c4e-8ef7-2a856d722b02', 'job_description': 'Programmable multi-tasking open architecture', 'start_date': datetime.datetime(2014, 4, 6, 1, 4, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 29, 2, 5, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 9, 9, 26, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8d827aec-6fae-4808-b8f1-d10f2b385224', 'end_date': datetime.datetime(2011, 1, 26, 12, 26, 42), 'start_time': datetime.datetime(2017, 3, 14, 13, 22, 36), 'rate': 4, 'updated_at': datetime.datetime(2010, 2, 26, 21, 16, 10), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cf2176ba-e2e6-4677-938d-0930c5d56ff8', 'job_description': 'Organic background strategy', 'start_date': datetime.datetime(2016, 5, 19, 15, 29, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 12, 16, 35, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 25, 19, 9, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6d75d3d6-0b3f-4244-99b2-2dcc936e9862', 'end_date': datetime.datetime(2010, 12, 28, 15, 56, 21), 'start_time': datetime.datetime(2010, 5, 25, 11, 16, 44), 'rate': 2, 'updated_at': datetime.datetime(2016, 5, 28, 16, 29, 26), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a9e0c53d-0d8e-4070-a3dd-39a80e4ba68e', 'job_description': 'User-friendly bottom-line toolset', 'start_date': datetime.datetime(2012, 6, 12, 6, 23, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 14, 9, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 8, 16, 26, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd309d2a3-0836-4ab2-9aaa-5989caff6913', 'end_date': datetime.datetime(2011, 3, 10, 4, 51, 23), 'start_time': datetime.datetime(2015, 11, 22, 16, 40, 14), 'rate': 5, 'updated_at': datetime.datetime(2017, 12, 10, 23, 49, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '92b9da1a-ce76-4b97-ba91-3e7a17f613fd', 'job_description': 'Profound disintermediate encoding', 'start_date': datetime.datetime(2014, 12, 13, 23, 21, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 4, 10, 23, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 13, 1, 13, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '85c74056-b916-4927-816a-a66dff85c28b', 'end_date': datetime.datetime(2011, 12, 13, 14, 5, 47), 'start_time': datetime.datetime(2016, 11, 15, 0, 44, 31), 'rate': 1, 'updated_at': datetime.datetime(2010, 10, 27, 22, 37, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2d42afc5-b907-433c-a4a1-361ec42ab925', 'job_description': 'Inverse human-resource productivity', 'start_date': datetime.datetime(2013, 1, 25, 1, 58, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 9, 23, 49, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 16, 5, 6, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1e134a62-e214-4b7a-9504-8facf666218c', 'end_date': datetime.datetime(2018, 7, 4, 9, 35, 2), 'start_time': datetime.datetime(2013, 5, 10, 13, 5, 3), 'rate': 3, 'updated_at': datetime.datetime(2018, 4, 11, 18, 13, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b4c052a-810f-4164-9997-50a5e327164e', 'job_description': 'Multi-tiered mobile policy', 'start_date': datetime.datetime(2019, 10, 12, 8, 26, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 8, 9, 59, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 4, 5, 8, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c818f98a-802f-4a2c-814a-7274a175785a', 'end_date': datetime.datetime(2019, 2, 1, 19, 23, 27), 'start_time': datetime.datetime(2011, 8, 15, 20, 20, 38), 'rate': 1, 'updated_at': datetime.datetime(2013, 4, 13, 7, 59, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a89bf9a3-54ae-40b8-af73-49b97e9ba115', 'job_description': 'Customer-focused modular array', 'start_date': datetime.datetime(2019, 1, 18, 15, 40, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 1, 7, 44, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 16, 22, 34, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2ce4935-1d69-49fd-b86c-9075638cbee3', 'end_date': datetime.datetime(2014, 8, 17, 18, 35, 9), 'start_time': datetime.datetime(2019, 9, 23, 0, 7, 5), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 3, 6, 23, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '31f77e83-120f-4e9c-9ec6-f8e6dbe9f240', 'job_description': 'Digitized web-enabled solution', 'start_date': datetime.datetime(2010, 2, 18, 8, 53, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 20, 16, 36, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 13, 20, 52, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6e0b558f-d557-4d81-86bf-fc0132922f82', 'end_date': datetime.datetime(2018, 1, 24, 9, 32, 3), 'start_time': datetime.datetime(2018, 11, 5, 10, 22, 22), 'rate': 4, 'updated_at': datetime.datetime(2013, 5, 17, 3, 48, 50), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
<class 'dict'>
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{'_id': 'c5e954a3-6e92-41f9-93e8-50f7ca85e42e', 'job_description': 'Grass-roots composite installation', 'start_date': datetime.datetime(2019, 9, 26, 9, 35, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 2, 16, 57, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 13, 4, 57, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '780a9052-546c-440c-aec3-b23c0a27b56c', 'end_date': datetime.datetime(2012, 10, 30, 19, 57, 24), 'start_time': datetime.datetime(2012, 6, 17, 8, 19, 57), 'rate': 3, 'updated_at': datetime.datetime(2014, 11, 23, 12, 23, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '24e57db7-e0be-4e71-a14f-895ca97c4454', 'job_description': 'Intuitive cohesive superstructure', 'start_date': datetime.datetime(2017, 1, 20, 20, 5, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 4, 23, 5, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 27, 8, 14, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '293c048f-4569-431d-84e9-8047d02a0591', 'end_date': datetime.datetime(2017, 1, 25, 1, 58, 11), 'start_time': datetime.datetime(2016, 3, 25, 16, 55, 41), 'rate': 1, 'updated_at': datetime.datetime(2016, 1, 16, 10, 4, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
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{'_id': 'cf7192bf-0700-4ba0-b321-012e64b8c1bb', 'job_description': 'Synergistic clear-thinking neural-net', 'start_date': datetime.datetime(2018, 9, 12, 3, 16, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 13, 4, 49, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 1, 4, 34, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '48762664-4513-483d-9741-33c81088610d', 'end_date': datetime.datetime(2011, 2, 20, 23, 45, 53), 'start_time': datetime.datetime(2017, 12, 1, 12, 45, 42), 'rate': 4, 'updated_at': datetime.datetime(2013, 9, 17, 0, 50, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
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{'_id': 'd76c18b2-2879-4505-bea8-000faafb412f', 'job_description': 'Function-based web-enabled database', 'start_date': datetime.datetime(2019, 5, 13, 13, 14, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 3, 15, 27, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 6, 19, 34, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ab5fb347-8edc-4782-b247-21b715901af5', 'end_date': datetime.datetime(2012, 8, 13, 7, 4, 35), 'start_time': datetime.datetime(2016, 5, 28, 23, 33, 38), 'rate': 1, 'updated_at': datetime.datetime(2019, 2, 9, 23, 28, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Trinidad and Tobago', 'special_note': 'thanks'}
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{'_id': '224d1e60-1b22-44fe-ba40-307ca6e0a212', 'job_description': 'Streamlined full-range alliance', 'start_date': datetime.datetime(2018, 6, 26, 4, 17, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 4, 15, 12, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 9, 7, 0, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '574abf48-c187-42ca-9053-52afbef1633d', 'end_date': datetime.datetime(2018, 12, 30, 15, 40, 20), 'start_time': datetime.datetime(2010, 10, 24, 15, 54, 19), 'rate': 5, 'updated_at': datetime.datetime(2013, 2, 24, 14, 9, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
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{'_id': '9f075c31-b0be-4252-aa10-70ed5c5cc28f', 'job_description': 'Seamless tertiary definition', 'start_date': datetime.datetime(2017, 1, 10, 18, 13, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 15, 22, 52, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 29, 3, 51, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aaed7ed1-5329-4ff9-bacd-fb61979d1eaf', 'end_date': datetime.datetime(2018, 1, 9, 18, 39, 40), 'start_time': datetime.datetime(2015, 11, 11, 15, 5, 27), 'rate': 5, 'updated_at': datetime.datetime(2018, 1, 16, 10, 30, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
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{'_id': '9f5a5040-9495-4fc5-8f7f-14a095c3f9a5', 'job_description': 'Robust fault-tolerant data-warehouse', 'start_date': datetime.datetime(2011, 7, 4, 14, 15, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 28, 6, 45, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 15, 11, 36, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1d467f69-83bc-4c33-8a05-3cdf661d7451', 'end_date': datetime.datetime(2019, 4, 24, 10, 44, 53), 'start_time': datetime.datetime(2014, 8, 15, 19, 18, 11), 'rate': 3, 'updated_at': datetime.datetime(2013, 4, 1, 15, 18, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Rwanda', 'special_note': 'thanks'}
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{'_id': '4d461093-624a-4dc9-843e-1a470eb1eb26', 'job_description': 'Object-based actuating info-mediaries', 'start_date': datetime.datetime(2012, 8, 19, 11, 3, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 2, 19, 51, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 14, 6, 27, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3e70a75e-d499-4b98-a9df-93938442c994', 'end_date': datetime.datetime(2019, 6, 14, 0, 38, 54), 'start_time': datetime.datetime(2019, 9, 30, 21, 13, 27), 'rate': 2, 'updated_at': datetime.datetime(2010, 9, 13, 9, 29, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
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{'_id': 'b4b8b612-0588-4a06-87fe-9bf09f81b33a', 'job_description': 'Extended systematic Graphic Interface', 'start_date': datetime.datetime(2015, 3, 17, 22, 12, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 12, 21, 11, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 31, 1, 6, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5d12235d-f431-41d0-9809-b68cf46f2966', 'end_date': datetime.datetime(2016, 5, 23, 4, 48, 46), 'start_time': datetime.datetime(2011, 1, 20, 3, 27, 10), 'rate': 5, 'updated_at': datetime.datetime(2016, 8, 12, 6, 47, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
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{'_id': 'ba276440-606b-4ea5-944a-68772ac9c02a', 'job_description': 'Reactive background hardware', 'start_date': datetime.datetime(2011, 6, 27, 6, 29, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 11, 19, 5, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 22, 0, 35, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eaf01ef1-06c3-403e-a25f-1765175af2ef', 'end_date': datetime.datetime(2013, 1, 30, 10, 7, 13), 'start_time': datetime.datetime(2018, 8, 23, 13, 25, 2), 'rate': 4, 'updated_at': datetime.datetime(2011, 8, 3, 10, 38, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
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{'_id': 'e5d0abf5-00eb-43a9-add8-aaed487392ff', 'job_description': 'Fully-configurable transitional capacity', 'start_date': datetime.datetime(2017, 4, 19, 20, 47, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 30, 5, 26, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 12, 5, 15, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'accab1db-c856-4474-90dc-f214077dacd5', 'end_date': datetime.datetime(2013, 11, 10, 0, 32, 21), 'start_time': datetime.datetime(2011, 6, 25, 12, 13, 5), 'rate': 2, 'updated_at': datetime.datetime(2018, 10, 5, 19, 10, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
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{'_id': '9ef1b0db-0d5d-4dcf-8161-a8544ba2ca58', 'job_description': 'Grass-roots systematic protocol', 'start_date': datetime.datetime(2013, 1, 3, 16, 32, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 2, 3, 17, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 23, 18, 47, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5a97557-ff10-48f3-a3d1-3e69211e9d2f', 'end_date': datetime.datetime(2010, 3, 22, 10, 39, 17), 'start_time': datetime.datetime(2012, 9, 18, 0, 32, 13), 'rate': 2, 'updated_at': datetime.datetime(2019, 5, 6, 4, 31, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': '333f7653-6243-46e3-9b81-7d13c0236c60', 'job_description': 'Multi-layered stable circuit', 'start_date': datetime.datetime(2016, 1, 17, 9, 30, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 25, 3, 57, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 26, 3, 53, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4f92d5e6-7b58-4736-bf30-8b9a14d52d5f', 'end_date': datetime.datetime(2013, 1, 28, 17, 18, 46), 'start_time': datetime.datetime(2011, 5, 8, 20, 33, 59), 'rate': 3, 'updated_at': datetime.datetime(2014, 2, 12, 17, 29, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
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{'_id': '328521cd-d636-4899-81cb-a7b7306074be', 'job_description': 'Horizontal 24/7 help-desk', 'start_date': datetime.datetime(2017, 6, 20, 22, 18, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 5, 0, 45, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 22, 4, 45, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a3d55a54-8168-4e95-8248-cc5bc1b49e5a', 'end_date': datetime.datetime(2012, 3, 12, 11, 5, 7), 'start_time': datetime.datetime(2017, 7, 27, 16, 46, 20), 'rate': 5, 'updated_at': datetime.datetime(2019, 4, 27, 3, 12, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': 'c43bb7f9-5cf9-45a1-9298-bd21a5663402', 'job_description': 'Innovative optimal moratorium', 'start_date': datetime.datetime(2016, 2, 2, 18, 6, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 28, 6, 41, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 29, 6, 36, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5abc2e5-6506-4139-b191-5c06d237338c', 'end_date': datetime.datetime(2014, 3, 3, 18, 2, 17), 'start_time': datetime.datetime(2019, 1, 18, 4, 36, 19), 'rate': 5, 'updated_at': datetime.datetime(2017, 4, 17, 4, 54, 5), 'job_title': 'CoffeeMaker', 'service_id': 'United States Minor Outlying Islands', 'special_note': 'thanks'}
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{'_id': '3cc7fd48-b355-492f-a67a-460655235a27', 'job_description': 'Universal multi-tasking database', 'start_date': datetime.datetime(2014, 11, 13, 11, 29, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 18, 6, 19, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 22, 10, 59, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c2644b41-fe09-4aeb-a788-099605eef6ed', 'end_date': datetime.datetime(2013, 11, 14, 20, 3, 31), 'start_time': datetime.datetime(2015, 4, 5, 18, 19, 19), 'rate': 1, 'updated_at': datetime.datetime(2013, 8, 10, 12, 8, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
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{'_id': '1a233ac4-6742-421c-a914-a3f942e5675d', 'job_description': 'Team-oriented holistic customer loyalty', 'start_date': datetime.datetime(2019, 7, 12, 18, 20, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 14, 15, 36, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 16, 5, 48, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7640403b-566f-42ad-acca-55526251cd13', 'end_date': datetime.datetime(2013, 4, 27, 16, 5, 27), 'start_time': datetime.datetime(2018, 3, 3, 10, 4, 55), 'rate': 2, 'updated_at': datetime.datetime(2015, 8, 18, 14, 39, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Aruba', 'special_note': 'thanks'}
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{'_id': '6417a7d4-2696-4c69-9925-20fb31c5d827', 'job_description': 'Reactive real-time complexity', 'start_date': datetime.datetime(2010, 1, 23, 7, 27, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 19, 20, 42, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 22, 20, 50, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3db16cc0-1175-45f8-baf3-8c4a773101d4', 'end_date': datetime.datetime(2016, 7, 2, 5, 7, 12), 'start_time': datetime.datetime(2010, 1, 19, 16, 55, 58), 'rate': 1, 'updated_at': datetime.datetime(2015, 1, 2, 14, 49, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
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{'_id': 'e215831e-ec09-4415-bcd3-cbf5cf88be5a', 'job_description': 'Centralized fault-tolerant hub', 'start_date': datetime.datetime(2017, 7, 21, 20, 0, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 30, 7, 8, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 15, 13, 0, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ce313cb-ccb8-4082-80bd-e05d54ac4773', 'end_date': datetime.datetime(2015, 7, 15, 17, 29, 23), 'start_time': datetime.datetime(2013, 11, 21, 6, 44, 14), 'rate': 1, 'updated_at': datetime.datetime(2016, 12, 23, 1, 45, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '27e1f29f-dc67-4e4d-a3a6-fd69d242a719', 'job_description': 'Vision-oriented context-sensitive capability', 'start_date': datetime.datetime(2011, 11, 13, 11, 58, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 16, 9, 7, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 23, 19, 7, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '71126f73-344f-4871-9290-620386bb7fda', 'end_date': datetime.datetime(2016, 10, 10, 8, 43, 28), 'start_time': datetime.datetime(2010, 4, 16, 11, 9, 46), 'rate': 1, 'updated_at': datetime.datetime(2014, 12, 2, 13, 24, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd95ab1d9-b043-46c6-b23a-7980a64de830', 'job_description': 'Seamless 3rd generation circuit', 'start_date': datetime.datetime(2015, 3, 26, 7, 4, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 1, 2, 20, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 30, 12, 26, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5db7cb23-32f2-4960-9284-784726e2e4ba', 'end_date': datetime.datetime(2014, 2, 16, 13, 37, 45), 'start_time': datetime.datetime(2010, 5, 21, 23, 33, 9), 'rate': 1, 'updated_at': datetime.datetime(2012, 12, 21, 15, 44, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '602c6cfc-de57-4773-80d4-eaf75c77889c', 'job_description': 'Innovative explicit array', 'start_date': datetime.datetime(2018, 7, 11, 1, 5, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 9, 2, 6, 30, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 2, 1, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3167ade9-b29d-4013-b0f3-eaeaaccf9fa0', 'end_date': datetime.datetime(2010, 5, 18, 3, 38, 14), 'start_time': datetime.datetime(2014, 12, 22, 8, 1, 16), 'rate': 1, 'updated_at': datetime.datetime(2010, 6, 4, 23, 34, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': '556f5c4a-13cb-4f64-89eb-af6257f84484', 'job_description': 'Secured zero tolerance installation', 'start_date': datetime.datetime(2016, 3, 15, 5, 23, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 22, 19, 10, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 7, 13, 29, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5b5d6739-b567-4a24-9a32-c094f7a54252', 'end_date': datetime.datetime(2014, 6, 22, 13, 29, 3), 'start_time': datetime.datetime(2016, 7, 23, 1, 18, 12), 'rate': 5, 'updated_at': datetime.datetime(2016, 10, 25, 17, 54, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ae0f6498-a76b-42c6-a694-9d2f988d40e3', 'job_description': 'Synergized maximized attitude', 'start_date': datetime.datetime(2013, 8, 4, 19, 54, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 30, 15, 2, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 11, 13, 44, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5c3bdb6-212e-4033-93e0-9f0283475d14', 'end_date': datetime.datetime(2012, 11, 24, 13, 31, 20), 'start_time': datetime.datetime(2017, 7, 20, 6, 42, 43), 'rate': 5, 'updated_at': datetime.datetime(2012, 3, 2, 20, 43, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Ukraine', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'faeceb70-547c-4066-abe0-cce41bec2811', 'job_description': 'Expanded intangible knowledge user', 'start_date': datetime.datetime(2013, 4, 20, 12, 52, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 11, 21, 20, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 23, 5, 38, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '789e8a90-378e-4acf-b99f-27667ba57393', 'end_date': datetime.datetime(2010, 3, 21, 4, 18, 16), 'start_time': datetime.datetime(2016, 6, 23, 11, 20, 49), 'rate': 2, 'updated_at': datetime.datetime(2016, 9, 9, 10, 52, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '55a5aefd-a23a-4980-9a06-307eeb90efe5', 'job_description': 'Adaptive grid-enabled moratorium', 'start_date': datetime.datetime(2012, 3, 5, 13, 39, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 14, 18, 31, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 13, 23, 30, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '073b1714-d79d-42f3-9290-4de954e23395', 'end_date': datetime.datetime(2017, 8, 29, 0, 23, 32), 'start_time': datetime.datetime(2014, 12, 8, 1, 13, 55), 'rate': 4, 'updated_at': datetime.datetime(2010, 3, 27, 2, 38, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '25e07fc5-cd80-48b3-acb0-6d0ab3c9ec22', 'job_description': 'Integrated mobile interface', 'start_date': datetime.datetime(2017, 5, 12, 21, 21, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 1, 4, 4, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 14, 2, 51, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '78c7107e-ab0f-4ab1-b78c-995d182a0087', 'end_date': datetime.datetime(2017, 8, 19, 17, 50, 20), 'start_time': datetime.datetime(2017, 2, 12, 15, 23, 44), 'rate': 3, 'updated_at': datetime.datetime(2010, 3, 13, 23, 50, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cd77de8b-5be5-4356-8180-3a28b5afc4b1', 'job_description': 'Enterprise-wide 5th generation circuit', 'start_date': datetime.datetime(2012, 5, 29, 17, 39, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 27, 9, 31, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 24, 18, 46, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '235ecb28-ad29-4020-b4f9-223d0564b304', 'end_date': datetime.datetime(2015, 9, 16, 6, 25, 57), 'start_time': datetime.datetime(2016, 11, 27, 23, 33, 10), 'rate': 4, 'updated_at': datetime.datetime(2015, 10, 25, 7, 24, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '584f4351-6212-4109-97c9-545a9dbebb92', 'job_description': 'Implemented full-range help-desk', 'start_date': datetime.datetime(2010, 7, 15, 8, 28, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 11, 14, 44, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 28, 17, 28, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a0df0414-5bf4-40c1-99d4-58eb67ca703f', 'end_date': datetime.datetime(2012, 8, 12, 23, 42, 34), 'start_time': datetime.datetime(2019, 6, 7, 20, 40, 32), 'rate': 1, 'updated_at': datetime.datetime(2017, 12, 2, 9, 59, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '043a30bd-a18f-4673-afe4-6d19b3978cac', 'job_description': 'Fundamental demand-driven secured line', 'start_date': datetime.datetime(2018, 6, 7, 3, 37, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 5, 0, 16, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 24, 9, 34, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '42a414f9-9a94-4aec-975d-bf59dbc07fd1', 'end_date': datetime.datetime(2012, 3, 31, 13, 25, 4), 'start_time': datetime.datetime(2012, 11, 30, 16, 11, 44), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 5, 20, 37, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bb9d7aea-fbd8-473c-b688-d11d0b9a9ae5', 'job_description': 'Ameliorated solution-oriented budgetary management', 'start_date': datetime.datetime(2010, 3, 15, 4, 48, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 24, 2, 4, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 27, 11, 43, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5922cf0e-57af-406d-9836-02c9a6781bb2', 'end_date': datetime.datetime(2012, 7, 20, 16, 0, 12), 'start_time': datetime.datetime(2018, 11, 23, 6, 22, 50), 'rate': 1, 'updated_at': datetime.datetime(2013, 11, 7, 11, 11, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '70d9b1b2-1eae-4986-bfe8-fab4abc861b8', 'job_description': 'Switchable analyzing flexibility', 'start_date': datetime.datetime(2016, 5, 10, 15, 11, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 17, 18, 25, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 8, 10, 6, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '529e759f-b69b-4eba-8c70-f858e561ed2c', 'end_date': datetime.datetime(2017, 6, 3, 13, 50, 20), 'start_time': datetime.datetime(2011, 10, 10, 19, 12, 55), 'rate': 1, 'updated_at': datetime.datetime(2013, 1, 23, 23, 32, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Cook Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '423cec66-4c21-4650-85c3-85d638be72d1', 'job_description': 'Networked disintermediate intranet', 'start_date': datetime.datetime(2014, 1, 23, 6, 11, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 22, 17, 2, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 13, 17, 53, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '01772092-2c44-419f-81d1-14b104cd9220', 'end_date': datetime.datetime(2019, 8, 29, 22, 4, 26), 'start_time': datetime.datetime(2011, 8, 17, 3, 20, 9), 'rate': 1, 'updated_at': datetime.datetime(2011, 5, 24, 6, 43, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '84451a5e-6611-40e6-a942-535d7dc787ab', 'job_description': 'Multi-lateral bi-directional installation', 'start_date': datetime.datetime(2014, 1, 8, 16, 42, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 29, 16, 12, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 12, 15, 41, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b1664c0c-7b42-407c-a782-e947a020e4b4', 'end_date': datetime.datetime(2011, 6, 17, 2, 54, 12), 'start_time': datetime.datetime(2012, 12, 7, 3, 48, 12), 'rate': 1, 'updated_at': datetime.datetime(2015, 2, 7, 2, 0, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a546e3b5-32b4-4150-b4df-26989fe452e1', 'job_description': 'Front-line clear-thinking website', 'start_date': datetime.datetime(2015, 8, 14, 1, 29, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 15, 5, 41, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 8, 8, 19, 16, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '98d5f45a-b66d-4a97-a2a2-684d8327dc71', 'end_date': datetime.datetime(2019, 7, 6, 1, 3, 58), 'start_time': datetime.datetime(2013, 5, 18, 17, 40, 26), 'rate': 2, 'updated_at': datetime.datetime(2015, 4, 1, 2, 4, 57), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '68ea17ad-b690-43dd-836e-e3965413f72e', 'job_description': 'Profit-focused interactive productivity', 'start_date': datetime.datetime(2014, 6, 26, 2, 24, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 12, 6, 20, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 4, 6, 34, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '834fb039-e25b-44e7-8029-89d033021c4b', 'end_date': datetime.datetime(2014, 4, 28, 9, 44, 26), 'start_time': datetime.datetime(2018, 10, 1, 8, 40, 12), 'rate': 2, 'updated_at': datetime.datetime(2019, 1, 15, 4, 36, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1b906ce2-bfba-4fcf-9d2d-a485e60822a7', 'job_description': 'Pre-emptive systemic frame', 'start_date': datetime.datetime(2016, 4, 22, 20, 36, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 9, 22, 2, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 9, 12, 7, 36, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3232e380-85a9-46a5-b744-8d8aaae5980a', 'end_date': datetime.datetime(2013, 1, 18, 1, 45, 31), 'start_time': datetime.datetime(2019, 10, 6, 7, 0, 39), 'rate': 2, 'updated_at': datetime.datetime(2010, 4, 14, 16, 24, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a77c8fe1-8c5c-4f1c-9270-71921ed88616', 'job_description': 'Down-sized high-level moratorium', 'start_date': datetime.datetime(2011, 3, 19, 20, 31, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 19, 15, 0, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 2, 1, 59, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ac1049b3-1a74-4976-9127-5b60101b21b0', 'end_date': datetime.datetime(2016, 5, 15, 7, 19, 28), 'start_time': datetime.datetime(2019, 5, 12, 10, 7, 26), 'rate': 5, 'updated_at': datetime.datetime(2015, 1, 5, 17, 18, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5dc6fd34-25ff-4a3d-acb4-eb72d9192cc6', 'job_description': 'Reverse-engineered leading edge algorithm', 'start_date': datetime.datetime(2015, 9, 23, 18, 15, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 24, 9, 51, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 19, 17, 37, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c8106fed-a018-48e9-b1d7-927b8a8938d1', 'end_date': datetime.datetime(2015, 10, 3, 4, 41, 58), 'start_time': datetime.datetime(2014, 11, 18, 14, 22, 43), 'rate': 1, 'updated_at': datetime.datetime(2018, 5, 24, 8, 26, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ad1e0c38-08e0-4807-91bb-77b6695dd0f8', 'job_description': 'Progressive multimedia challenge', 'start_date': datetime.datetime(2014, 6, 15, 10, 52, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 21, 0, 14, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 15, 14, 34, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '084036af-3daa-48ec-929d-79aa70c133fc', 'end_date': datetime.datetime(2018, 9, 9, 3, 51, 4), 'start_time': datetime.datetime(2013, 10, 31, 16, 12, 59), 'rate': 3, 'updated_at': datetime.datetime(2017, 9, 8, 19, 2, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '77965f77-15cf-4583-b42c-61e980687cf4', 'job_description': 'Innovative contextually-based model', 'start_date': datetime.datetime(2014, 8, 6, 5, 41, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 4, 10, 43, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 27, 7, 14, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8d85b628-3a3b-4f17-83fc-75daeba56b9d', 'end_date': datetime.datetime(2017, 7, 28, 3, 14, 44), 'start_time': datetime.datetime(2013, 8, 9, 13, 35, 51), 'rate': 4, 'updated_at': datetime.datetime(2012, 10, 12, 18, 13, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c926b214-c451-40f3-bf6d-61c5a9c54e27', 'job_description': 'Self-enabling exuding Graphical User Interface', 'start_date': datetime.datetime(2019, 5, 19, 19, 8, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 30, 5, 4, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 26, 12, 40, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a392c09-8f3d-4749-94f3-4805ae9366d6', 'end_date': datetime.datetime(2012, 8, 8, 4, 4, 55), 'start_time': datetime.datetime(2013, 7, 9, 9, 57, 43), 'rate': 4, 'updated_at': datetime.datetime(2012, 12, 17, 8, 39, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Bahamas', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b64098ce-066b-46d2-94a5-469c4feb5843', 'job_description': 'Configurable optimizing process improvement', 'start_date': datetime.datetime(2011, 4, 19, 9, 53, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 24, 9, 27, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 31, 16, 47, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9335ebdb-85f0-4120-b53a-938d2642a906', 'end_date': datetime.datetime(2013, 9, 5, 12, 39, 12), 'start_time': datetime.datetime(2012, 9, 6, 4, 3, 48), 'rate': 2, 'updated_at': datetime.datetime(2011, 11, 17, 17, 9, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Palestinian Territory', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b583246-3bea-447c-925e-42c38b250602', 'job_description': 'Organic web-enabled function', 'start_date': datetime.datetime(2014, 1, 7, 23, 53, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 28, 23, 5, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 16, 20, 52, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '944ac2ad-d032-4c3e-9a9a-f36c9ed74ef5', 'end_date': datetime.datetime(2017, 11, 10, 21, 13, 46), 'start_time': datetime.datetime(2017, 3, 9, 19, 14, 29), 'rate': 2, 'updated_at': datetime.datetime(2018, 1, 7, 17, 54, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Cambodia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'addbad2e-96e1-4fd9-a78c-f87d421b50e2', 'job_description': 'Proactive leading edge workforce', 'start_date': datetime.datetime(2016, 11, 11, 4, 13, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 26, 22, 41, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 6, 11, 15, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cee49e21-6d5f-4069-8258-2a00c1dd7abb', 'end_date': datetime.datetime(2013, 6, 15, 7, 58, 7), 'start_time': datetime.datetime(2011, 7, 26, 8, 53, 51), 'rate': 4, 'updated_at': datetime.datetime(2017, 1, 13, 20, 58, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Eritrea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '99513b04-0bfd-47fa-97dc-489ba0f08447', 'job_description': 'Automated maximized paradigm', 'start_date': datetime.datetime(2015, 10, 8, 18, 8, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 6, 21, 14, 10, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 3, 1, 13, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e6abf77b-66b4-489f-adcc-3485fe483e5c', 'end_date': datetime.datetime(2015, 5, 20, 17, 40, 22), 'start_time': datetime.datetime(2018, 3, 24, 1, 29, 20), 'rate': 4, 'updated_at': datetime.datetime(2015, 6, 23, 23, 30, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Bosnia and Herzegovina', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '97b5e26b-b6fa-4cbc-b75a-fb63ec388a3e', 'job_description': 'Enhanced assymetric structure', 'start_date': datetime.datetime(2018, 12, 13, 17, 56, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 11, 21, 58, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 31, 19, 47, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '116e764f-2e05-4dd6-b5e7-d2f5ecf6f7fc', 'end_date': datetime.datetime(2014, 2, 16, 12, 32, 29), 'start_time': datetime.datetime(2019, 5, 8, 23, 58, 21), 'rate': 4, 'updated_at': datetime.datetime(2019, 9, 30, 14, 9, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b97b90b0-c628-4703-9c88-1aeff291a949', 'job_description': 'Upgradable analyzing concept', 'start_date': datetime.datetime(2013, 8, 25, 2, 36, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 31, 23, 39, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 15, 2, 12, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '68ba9858-d072-4b15-b6f4-de437a98f932', 'end_date': datetime.datetime(2019, 10, 17, 7, 10, 13), 'start_time': datetime.datetime(2015, 3, 31, 17, 18, 13), 'rate': 3, 'updated_at': datetime.datetime(2015, 3, 26, 17, 11, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c2015e96-4b16-4cdc-a14d-23e7419828bc', 'job_description': 'Profound maximized focus group', 'start_date': datetime.datetime(2012, 9, 27, 7, 14, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 29, 11, 42, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 15, 19, 8, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8a7e488b-d0b5-401e-8f72-f253ed6a4b73', 'end_date': datetime.datetime(2010, 3, 25, 12, 33, 49), 'start_time': datetime.datetime(2012, 8, 19, 17, 44, 21), 'rate': 4, 'updated_at': datetime.datetime(2019, 3, 6, 20, 30, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd6dd087a-69f1-4ee4-988e-ddc5ad00a8b9', 'job_description': 'Organized fault-tolerant orchestration', 'start_date': datetime.datetime(2014, 1, 25, 3, 1, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 3, 15, 9, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 30, 16, 13, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ca14ccce-9a93-429c-a602-06160b7d7721', 'end_date': datetime.datetime(2010, 12, 14, 14, 53, 45), 'start_time': datetime.datetime(2016, 3, 6, 8, 5, 20), 'rate': 1, 'updated_at': datetime.datetime(2019, 8, 6, 0, 23, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cd577de7-5a03-456a-8402-6b5b78aa8c70', 'job_description': 'Phased regional migration', 'start_date': datetime.datetime(2016, 2, 2, 8, 15, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 23, 12, 36, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 29, 5, 36, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '82d8e353-e87a-437c-85ba-ef574f1e8ef9', 'end_date': datetime.datetime(2017, 12, 20, 9, 27, 41), 'start_time': datetime.datetime(2010, 9, 23, 5, 47, 23), 'rate': 4, 'updated_at': datetime.datetime(2019, 11, 29, 0, 0, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '15da06f3-fd0a-43a6-979a-c089d5b6bff8', 'job_description': 'Configurable secondary emulation', 'start_date': datetime.datetime(2017, 4, 6, 6, 19, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 4, 8, 28, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 1, 17, 32, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb36a909-4d12-455d-94ee-d49f8293b472', 'end_date': datetime.datetime(2015, 5, 8, 9, 28, 24), 'start_time': datetime.datetime(2013, 3, 3, 15, 29, 10), 'rate': 4, 'updated_at': datetime.datetime(2010, 8, 31, 5, 1, 9), 'job_title': 'CoffeeMaker', 'service_id': 'British Indian Ocean Territory (Chagos Archipelago)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2672f068-02b8-4665-a442-3b60d8359447', 'job_description': 'Total impactful installation', 'start_date': datetime.datetime(2018, 10, 29, 18, 11, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 30, 23, 8, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 7, 17, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a7906faa-4191-4fe6-afd9-8406e66546ba', 'end_date': datetime.datetime(2017, 2, 26, 17, 14, 26), 'start_time': datetime.datetime(2015, 8, 19, 12, 22, 8), 'rate': 4, 'updated_at': datetime.datetime(2015, 6, 24, 0, 58, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Tokelau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c051c6bf-79a2-4860-8db2-650e42c2e037', 'job_description': 'Profit-focused local productivity', 'start_date': datetime.datetime(2013, 7, 14, 17, 46, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 9, 9, 54, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 20, 6, 47, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5e15c96-9ea4-4c39-8927-e4cc27fa073c', 'end_date': datetime.datetime(2012, 6, 8, 7, 30, 30), 'start_time': datetime.datetime(2018, 5, 8, 6, 7, 31), 'rate': 1, 'updated_at': datetime.datetime(2019, 2, 11, 14, 33, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1ce90323-0408-4ab9-af7d-6659cf2dbf74', 'job_description': 'Synergized upward-trending data-warehouse', 'start_date': datetime.datetime(2011, 10, 27, 12, 30, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 27, 6, 20, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 6, 12, 54, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a677aa80-eec1-41bf-aa89-935720c09146', 'end_date': datetime.datetime(2018, 1, 8, 20, 25, 44), 'start_time': datetime.datetime(2012, 1, 5, 0, 19, 8), 'rate': 4, 'updated_at': datetime.datetime(2014, 12, 24, 19, 35, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '03d524fb-affe-4395-ad1f-b27274d91ecd', 'job_description': 'Seamless 5th generation circuit', 'start_date': datetime.datetime(2016, 2, 10, 7, 11, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 27, 21, 10, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 2, 14, 2, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8c033e79-c83f-41f8-91d2-57e6b6484cf7', 'end_date': datetime.datetime(2011, 9, 5, 5, 18, 50), 'start_time': datetime.datetime(2012, 5, 23, 14, 45, 35), 'rate': 2, 'updated_at': datetime.datetime(2012, 9, 19, 20, 21, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0427534d-cc99-4d13-95ae-6eb5e6d4e6b7', 'job_description': 'Face to face 5th generation knowledge user', 'start_date': datetime.datetime(2015, 3, 5, 16, 10, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 14, 22, 37, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 29, 14, 37, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '57b21ded-5504-469d-85fe-7b5181884fe9', 'end_date': datetime.datetime(2014, 12, 17, 23, 47, 22), 'start_time': datetime.datetime(2013, 3, 18, 23, 59, 11), 'rate': 1, 'updated_at': datetime.datetime(2018, 1, 30, 3, 55, 21), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
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{'_id': '581a9c21-5d89-4ae3-9a86-2d5fdab5fce7', 'job_description': 'Progressive contextually-based hub', 'start_date': datetime.datetime(2012, 7, 14, 10, 29, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 13, 12, 22, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 3, 10, 16, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0117c47d-e09c-4e1c-8556-249862027c12', 'end_date': datetime.datetime(2012, 10, 24, 17, 49, 54), 'start_time': datetime.datetime(2013, 4, 21, 1, 21, 33), 'rate': 3, 'updated_at': datetime.datetime(2012, 8, 10, 12, 19, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c76e3a93-0c7a-40d2-bf4c-45125cab100a', 'job_description': 'Visionary 6th generation intranet', 'start_date': datetime.datetime(2017, 1, 28, 19, 34, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 20, 11, 30, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 20, 2, 48, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9beff9fa-e7d8-4af7-8fac-cb4702099599', 'end_date': datetime.datetime(2015, 2, 5, 18, 48, 59), 'start_time': datetime.datetime(2013, 7, 13, 2, 36, 9), 'rate': 3, 'updated_at': datetime.datetime(2015, 2, 1, 11, 36, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
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{'_id': '91e2ec00-45cf-43be-85db-60f12e86c337', 'job_description': 'Extended bifurcated service-desk', 'start_date': datetime.datetime(2018, 12, 1, 21, 2, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 5, 19, 34, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 14, 1, 52, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '485d34e8-875b-4d50-baa9-c0a125e71adc', 'end_date': datetime.datetime(2016, 8, 22, 6, 15, 32), 'start_time': datetime.datetime(2019, 3, 2, 11, 58, 34), 'rate': 2, 'updated_at': datetime.datetime(2019, 4, 5, 12, 2, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
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{'_id': 'db0636cf-f27b-40c0-a846-652ec13f7988', 'job_description': 'Multi-lateral systematic benchmark', 'start_date': datetime.datetime(2018, 4, 9, 20, 26, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 17, 6, 2, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 5, 14, 5, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a3508def-7aca-412f-b97c-ad255c5e460c', 'end_date': datetime.datetime(2010, 10, 11, 5, 1, 25), 'start_time': datetime.datetime(2017, 4, 22, 17, 24, 59), 'rate': 1, 'updated_at': datetime.datetime(2011, 2, 26, 13, 32, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '556e9b44-29a3-45b8-8fdd-65e3f4f02433', 'job_description': 'Innovative contextually-based solution', 'start_date': datetime.datetime(2012, 12, 17, 16, 17, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 10, 8, 0, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 18, 17, 44, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2ec67944-332d-4a68-911e-a824510fad0b', 'end_date': datetime.datetime(2012, 11, 22, 16, 29, 10), 'start_time': datetime.datetime(2017, 6, 19, 12, 30, 6), 'rate': 4, 'updated_at': datetime.datetime(2013, 11, 5, 12, 3, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b3269f1d-884a-45b1-95a9-446079153b2e', 'job_description': 'Configurable 3rd generation architecture', 'start_date': datetime.datetime(2013, 12, 12, 17, 56, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 30, 19, 36, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 14, 11, 30, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '999577c8-9fad-40f6-a053-8c3ad155f5c3', 'end_date': datetime.datetime(2012, 12, 1, 0, 40, 41), 'start_time': datetime.datetime(2014, 7, 18, 6, 6, 34), 'rate': 2, 'updated_at': datetime.datetime(2013, 10, 4, 10, 18, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8a557387-6f51-4c10-9ab8-fc753707c2df', 'job_description': 'Persevering eco-centric knowledge user', 'start_date': datetime.datetime(2011, 1, 13, 22, 41, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 21, 15, 23, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 15, 6, 44, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fc062e4f-32ca-4ff6-b6f7-fd6d5f4d8010', 'end_date': datetime.datetime(2012, 5, 1, 13, 21, 11), 'start_time': datetime.datetime(2019, 3, 19, 19, 2, 44), 'rate': 1, 'updated_at': datetime.datetime(2014, 1, 24, 1, 9, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
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{'_id': 'e1e3718a-9e01-46cd-a5ca-a1c154611ada', 'job_description': 'Synergized 24 hour archive', 'start_date': datetime.datetime(2012, 4, 29, 3, 57, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 22, 7, 26, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 6, 23, 10, 10, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0033d83e-0ea2-4b62-ad66-538b9568ecb2', 'end_date': datetime.datetime(2016, 9, 29, 19, 3, 59), 'start_time': datetime.datetime(2018, 9, 3, 6, 59, 38), 'rate': 4, 'updated_at': datetime.datetime(2011, 12, 11, 13, 36, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Benin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bc5fb34b-57e7-4882-afeb-12743154d20a', 'job_description': 'Fundamental non-volatile Graphical User Interface', 'start_date': datetime.datetime(2018, 7, 18, 22, 58, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 28, 3, 15, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 11, 8, 39, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a6b8c7af-993a-4c44-9260-9a12174ba626', 'end_date': datetime.datetime(2010, 5, 23, 22, 11, 24), 'start_time': datetime.datetime(2018, 6, 3, 19, 37, 19), 'rate': 5, 'updated_at': datetime.datetime(2010, 4, 21, 11, 25, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8a2affa4-915d-4f08-93d4-fabb4e7713a2', 'job_description': 'Sharable zero tolerance encryption', 'start_date': datetime.datetime(2015, 6, 19, 16, 36, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 3, 3, 52, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 6, 0, 45, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4f18f417-72e3-4dc4-98d7-31342ae120aa', 'end_date': datetime.datetime(2015, 4, 26, 0, 59, 22), 'start_time': datetime.datetime(2015, 7, 1, 6, 14, 14), 'rate': 4, 'updated_at': datetime.datetime(2016, 2, 6, 0, 40, 52), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7168278d-98db-4288-af41-a85a0a92f1ef', 'job_description': 'Stand-alone tangible flexibility', 'start_date': datetime.datetime(2011, 7, 26, 15, 20, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 13, 20, 22, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 18, 21, 48, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e8dffd6-f528-47a4-99d4-f2b9279fb9aa', 'end_date': datetime.datetime(2014, 11, 1, 9, 57, 46), 'start_time': datetime.datetime(2013, 10, 6, 21, 20, 53), 'rate': 4, 'updated_at': datetime.datetime(2012, 3, 29, 5, 54, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '39edfcb2-f561-416f-80c0-a56eb003feea', 'job_description': 'De-engineered client-server implementation', 'start_date': datetime.datetime(2010, 5, 1, 15, 22, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 31, 23, 41, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 27, 5, 29, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd550c087-055f-4a3b-b71a-1cd79429680b', 'end_date': datetime.datetime(2019, 7, 13, 6, 10, 11), 'start_time': datetime.datetime(2014, 9, 7, 2, 17, 37), 'rate': 5, 'updated_at': datetime.datetime(2016, 5, 14, 10, 25, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2b6946dd-3b44-48ad-8923-3b2f4c8a3650', 'job_description': 'Reactive web-enabled portal', 'start_date': datetime.datetime(2012, 6, 22, 8, 57, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 25, 23, 50, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 15, 15, 44, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '41e0d019-5ab6-486b-b959-507a416a459c', 'end_date': datetime.datetime(2013, 4, 5, 3, 44, 41), 'start_time': datetime.datetime(2018, 12, 16, 0, 36, 23), 'rate': 3, 'updated_at': datetime.datetime(2012, 1, 21, 4, 16, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '94691d8d-0a53-49cb-8e85-b69a8440e45c', 'job_description': 'Team-oriented radical firmware', 'start_date': datetime.datetime(2015, 5, 18, 11, 37, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 20, 18, 20, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 16, 17, 40, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0f309595-35fd-4f45-9170-e3c5463580a7', 'end_date': datetime.datetime(2017, 7, 4, 12, 46, 39), 'start_time': datetime.datetime(2016, 2, 9, 17, 42, 26), 'rate': 5, 'updated_at': datetime.datetime(2010, 11, 29, 12, 11, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Pakistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4a362497-9918-461a-87b4-a7cbe84f6e34', 'job_description': 'Configurable maximized algorithm', 'start_date': datetime.datetime(2016, 3, 9, 13, 22, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 3, 20, 24, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 2, 14, 53, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '92713597-eafc-4ab1-98f1-960ecdb5ab8b', 'end_date': datetime.datetime(2013, 5, 9, 6, 47, 16), 'start_time': datetime.datetime(2012, 2, 22, 6, 50, 33), 'rate': 3, 'updated_at': datetime.datetime(2015, 9, 14, 20, 54, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8c704888-141a-450f-a500-c7aa40c43a74', 'job_description': 'Multi-channelled user-facing data-warehouse', 'start_date': datetime.datetime(2018, 3, 21, 5, 37, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 14, 19, 57, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 24, 8, 2, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1cf39b72-f20e-462b-ae3b-9d6e19ba3433', 'end_date': datetime.datetime(2017, 3, 30, 11, 50, 16), 'start_time': datetime.datetime(2012, 12, 8, 0, 35, 32), 'rate': 3, 'updated_at': datetime.datetime(2015, 7, 26, 18, 33, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
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{'_id': '49ca19ec-b9a4-4ff7-bd74-3116459d8ee6', 'job_description': 'Function-based bottom-line hub', 'start_date': datetime.datetime(2015, 6, 17, 20, 33, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 16, 1, 56, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 2, 11, 4, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '73c07006-6220-4550-b120-d0f7735490d3', 'end_date': datetime.datetime(2016, 7, 16, 22, 22, 34), 'start_time': datetime.datetime(2013, 5, 12, 22, 54, 33), 'rate': 4, 'updated_at': datetime.datetime(2012, 7, 29, 13, 5, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fec86d2f-535b-4b5d-b455-bfd096eaf781', 'job_description': 'Decentralized user-facing function', 'start_date': datetime.datetime(2011, 12, 4, 2, 33, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 14, 23, 50, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 2, 22, 19, 47, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '01ce198f-d2c7-4670-acfd-8bff7c70ab2a', 'end_date': datetime.datetime(2019, 5, 4, 1, 33, 29), 'start_time': datetime.datetime(2015, 8, 18, 18, 40, 46), 'rate': 3, 'updated_at': datetime.datetime(2016, 3, 6, 21, 39, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e6e71811-0cc6-41b9-b165-cf985ff5d580', 'job_description': 'Re-engineered dedicated array', 'start_date': datetime.datetime(2011, 7, 5, 13, 11, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 29, 12, 28, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 22, 11, 3, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e37ba852-0d85-46d8-9b35-6aafef29ee69', 'end_date': datetime.datetime(2011, 4, 25, 1, 26, 51), 'start_time': datetime.datetime(2016, 5, 27, 5, 3, 41), 'rate': 2, 'updated_at': datetime.datetime(2018, 4, 17, 19, 15, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f3ed81fa-a571-4799-8ef0-6a2eab76e2d6', 'job_description': 'Operative incremental approach', 'start_date': datetime.datetime(2013, 6, 28, 13, 10, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 5, 22, 55, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 20, 8, 36, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '53e4cc9a-0c2e-44a9-b833-8cfd4712b7a7', 'end_date': datetime.datetime(2016, 11, 27, 15, 46, 44), 'start_time': datetime.datetime(2016, 5, 2, 14, 18, 56), 'rate': 1, 'updated_at': datetime.datetime(2013, 10, 5, 18, 10, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bd110971-f332-465d-aa6b-8e1634846229', 'job_description': 'Switchable bottom-line leverage', 'start_date': datetime.datetime(2015, 3, 15, 23, 14, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 26, 16, 31, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 1, 0, 20, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fa1e6327-e868-401f-9797-5a976e7e16d1', 'end_date': datetime.datetime(2010, 3, 21, 1, 34, 56), 'start_time': datetime.datetime(2012, 1, 6, 3, 2, 13), 'rate': 4, 'updated_at': datetime.datetime(2018, 1, 22, 13, 45, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Bulgaria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2bea43d0-3804-4f9c-b954-d2d692b6b0e0', 'job_description': 'Total systemic leverage', 'start_date': datetime.datetime(2019, 8, 27, 5, 43, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 29, 12, 31, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 18, 10, 31, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '209ebcf5-f99a-4908-8f3b-b2e21dd31ac0', 'end_date': datetime.datetime(2015, 8, 28, 23, 56, 58), 'start_time': datetime.datetime(2018, 2, 10, 0, 50, 39), 'rate': 3, 'updated_at': datetime.datetime(2016, 4, 29, 13, 46, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '69ed1244-b450-4964-a9c8-b2b9fc4dcfa9', 'job_description': 'Total actuating service-desk', 'start_date': datetime.datetime(2017, 9, 27, 20, 56, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 11, 12, 59, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 18, 4, 6, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '412294b9-4aeb-417b-92c8-d98a55790f43', 'end_date': datetime.datetime(2017, 8, 6, 10, 48, 27), 'start_time': datetime.datetime(2017, 5, 26, 10, 38, 59), 'rate': 2, 'updated_at': datetime.datetime(2010, 9, 2, 15, 1, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '203dda38-a4ec-454a-84ec-8ba65b5aa4e2', 'job_description': 'Customer-focused scalable concept', 'start_date': datetime.datetime(2018, 9, 28, 3, 8, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 16, 15, 27, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 2, 0, 12, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a3883884-a478-4e14-bd47-fa8614ae1c81', 'end_date': datetime.datetime(2013, 9, 2, 5, 34, 3), 'start_time': datetime.datetime(2019, 11, 8, 1, 39, 47), 'rate': 1, 'updated_at': datetime.datetime(2010, 11, 8, 13, 45, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1fd19309-5603-454f-a8fd-94f8f53c2b58', 'job_description': 'Pre-emptive next generation time-frame', 'start_date': datetime.datetime(2010, 4, 30, 14, 21, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 20, 11, 18, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 24, 3, 4, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a7e989bc-5416-4ae1-a5df-1bd58309dd04', 'end_date': datetime.datetime(2014, 11, 29, 4, 16, 54), 'start_time': datetime.datetime(2013, 12, 5, 4, 30, 17), 'rate': 2, 'updated_at': datetime.datetime(2016, 12, 27, 3, 49, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'afddb272-7a12-40c9-a52e-ec606a9c37f3', 'job_description': 'Virtual methodical service-desk', 'start_date': datetime.datetime(2017, 3, 29, 17, 23, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 3, 11, 30, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 30, 22, 6, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '495c61f6-163a-4f03-a83a-53632dbcd70e', 'end_date': datetime.datetime(2017, 11, 13, 7, 15, 5), 'start_time': datetime.datetime(2016, 2, 17, 10, 0, 7), 'rate': 1, 'updated_at': datetime.datetime(2016, 11, 25, 7, 22, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0b43eaa4-430e-44b9-882d-a6a1be5199ea', 'job_description': 'Open-source scalable hierarchy', 'start_date': datetime.datetime(2014, 7, 19, 0, 7, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 20, 9, 35, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 31, 13, 28, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eb5ed44c-7503-4719-b2cd-7cf58757d6e8', 'end_date': datetime.datetime(2019, 8, 10, 9, 17, 33), 'start_time': datetime.datetime(2011, 7, 6, 1, 43, 4), 'rate': 1, 'updated_at': datetime.datetime(2015, 5, 31, 17, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '22fcfba0-d380-424d-b29b-b345eb4482aa', 'job_description': 'Right-sized web-enabled process improvement', 'start_date': datetime.datetime(2019, 6, 18, 21, 2, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 2, 16, 38, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 10, 20, 55, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f3b810ba-9233-41fe-ad14-60de78c190c5', 'end_date': datetime.datetime(2016, 7, 16, 7, 39, 25), 'start_time': datetime.datetime(2012, 12, 11, 14, 56, 46), 'rate': 1, 'updated_at': datetime.datetime(2017, 8, 24, 17, 11, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Egypt', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0146e6e8-b2d1-450b-b353-6e799dfc5c40', 'job_description': 'Visionary bottom-line knowledge base', 'start_date': datetime.datetime(2014, 7, 31, 7, 32, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 3, 2, 41, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 19, 4, 49, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d42af57-f6f5-4cfc-96e2-d31ab1df7c3d', 'end_date': datetime.datetime(2014, 3, 10, 22, 53, 55), 'start_time': datetime.datetime(2018, 11, 29, 13, 15, 22), 'rate': 3, 'updated_at': datetime.datetime(2019, 2, 24, 15, 31, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '53e4cf26-24af-457d-94fc-52c8aab5a924', 'job_description': 'User-centric fresh-thinking concept', 'start_date': datetime.datetime(2011, 1, 20, 1, 30, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 19, 12, 16, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 5, 16, 36, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c66053be-96d9-477a-a0fe-d07ed12fac71', 'end_date': datetime.datetime(2012, 12, 27, 0, 3, 45), 'start_time': datetime.datetime(2014, 12, 3, 6, 17, 7), 'rate': 3, 'updated_at': datetime.datetime(2017, 12, 16, 23, 48, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4d8152f0-076d-4fe5-8977-c1e4328ee305', 'job_description': 'Reactive composite hardware', 'start_date': datetime.datetime(2013, 2, 26, 3, 8, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 3, 23, 12, 39, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 2, 8, 52, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b282729d-7a60-4db1-9544-5b49b0de29f2', 'end_date': datetime.datetime(2010, 5, 2, 13, 50, 27), 'start_time': datetime.datetime(2019, 5, 15, 18, 22, 51), 'rate': 2, 'updated_at': datetime.datetime(2010, 4, 3, 3, 39, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b4b8adf-595f-4dd8-9b8c-18a5439ff283', 'job_description': 'Optional empowering support', 'start_date': datetime.datetime(2016, 9, 23, 8, 2, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 8, 12, 59, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 30, 16, 38, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2888a7a6-5cec-44b1-a011-a145e083113f', 'end_date': datetime.datetime(2019, 5, 4, 8, 38, 56), 'start_time': datetime.datetime(2012, 4, 1, 17, 24, 20), 'rate': 3, 'updated_at': datetime.datetime(2019, 4, 9, 17, 36, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8cbab9a8-37ed-4317-bfb4-5b41635b7587', 'job_description': 'Front-line methodical conglomeration', 'start_date': datetime.datetime(2018, 3, 20, 16, 6, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 1, 14, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 8, 17, 11, 36, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5426c489-da45-4fad-ad50-634552040a94', 'end_date': datetime.datetime(2018, 8, 28, 1, 24, 54), 'start_time': datetime.datetime(2016, 7, 7, 2, 14, 51), 'rate': 1, 'updated_at': datetime.datetime(2015, 8, 14, 20, 18, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '36087c6d-e550-4003-b666-99ba1651be8f', 'job_description': 'Synergized optimizing encryption', 'start_date': datetime.datetime(2013, 8, 9, 15, 52, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 8, 2, 39, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 4, 2, 44, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '073cdc98-82c1-4fa4-8b7f-10f38e59f8b8', 'end_date': datetime.datetime(2012, 12, 19, 21, 6, 22), 'start_time': datetime.datetime(2017, 6, 27, 14, 49, 47), 'rate': 3, 'updated_at': datetime.datetime(2012, 9, 30, 17, 28, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '22468362-2ec3-43a2-bd56-720e7be8fb6e', 'job_description': 'Extended maximized focus group', 'start_date': datetime.datetime(2015, 12, 28, 4, 13, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 30, 4, 0, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 9, 14, 36, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8030d4c8-db0b-40a2-8baa-c8c8fdd97276', 'end_date': datetime.datetime(2014, 10, 25, 7, 17, 47), 'start_time': datetime.datetime(2018, 9, 17, 0, 44, 4), 'rate': 1, 'updated_at': datetime.datetime(2013, 2, 18, 3, 47, 10), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '63638cdc-959b-4451-8461-6ac370871e41', 'job_description': 'Synergized local local area network', 'start_date': datetime.datetime(2016, 11, 3, 20, 36, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 10, 15, 32, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 28, 20, 28, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f644ce06-0cf6-47e4-84ea-e916ca7341f5', 'end_date': datetime.datetime(2010, 3, 27, 17, 15, 4), 'start_time': datetime.datetime(2011, 10, 8, 7, 33, 9), 'rate': 1, 'updated_at': datetime.datetime(2011, 10, 19, 0, 43, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1e05b14d-1fca-448d-a789-3586ccaa29eb', 'job_description': 'Function-based needs-based capacity', 'start_date': datetime.datetime(2010, 11, 28, 15, 35, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 21, 3, 44, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 26, 7, 42, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '731cf3c0-29fa-4bc6-9416-551b20f86096', 'end_date': datetime.datetime(2013, 11, 12, 3, 59, 26), 'start_time': datetime.datetime(2015, 11, 9, 15, 39, 31), 'rate': 2, 'updated_at': datetime.datetime(2016, 2, 6, 17, 11, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8510bf4-4768-48b5-9d58-71497efbb46a', 'job_description': 'Fully-configurable background concept', 'start_date': datetime.datetime(2013, 2, 2, 20, 39, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 11, 7, 42, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 18, 15, 38, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ca6ad93a-2b60-4783-a50f-fdfc24ae04fb', 'end_date': datetime.datetime(2013, 2, 28, 21, 25, 39), 'start_time': datetime.datetime(2013, 7, 11, 13, 14, 6), 'rate': 1, 'updated_at': datetime.datetime(2012, 2, 27, 21, 30, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '00d2a834-b8e7-4cfd-868d-205d21db92a0', 'job_description': 'Configurable solution-oriented moratorium', 'start_date': datetime.datetime(2018, 3, 10, 8, 43, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 11, 9, 10, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 22, 17, 36, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2f03f32f-0471-464e-97b8-de12ef10f285', 'end_date': datetime.datetime(2016, 3, 16, 17, 30, 59), 'start_time': datetime.datetime(2011, 6, 23, 23, 5, 5), 'rate': 3, 'updated_at': datetime.datetime(2011, 7, 3, 23, 22, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e5128565-a6f6-40de-b524-c1c5035e95b3', 'job_description': 'Managed 24/7 intranet', 'start_date': datetime.datetime(2013, 1, 30, 2, 40, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 30, 15, 8, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 30, 1, 30, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '59a79515-922d-4e82-9bc4-115f33076ff9', 'end_date': datetime.datetime(2013, 8, 1, 11, 27, 59), 'start_time': datetime.datetime(2013, 4, 10, 23, 34, 1), 'rate': 5, 'updated_at': datetime.datetime(2011, 4, 19, 1, 38, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1a67547a-792b-40bb-9d69-d909c1b03b2b', 'job_description': 'Realigned intangible hierarchy', 'start_date': datetime.datetime(2017, 5, 7, 21, 18, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 30, 17, 8, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 4, 16, 56, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '55881864-8658-40a7-bb82-1c437643cf40', 'end_date': datetime.datetime(2018, 4, 19, 20, 52, 9), 'start_time': datetime.datetime(2017, 12, 1, 9, 10, 3), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 8, 8, 43, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '995f147f-c084-4824-981a-bc2c4f71e9b3', 'job_description': 'Business-focused actuating local area network', 'start_date': datetime.datetime(2013, 1, 7, 13, 46, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 27, 6, 48, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 8, 2, 48, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e8059bb-4f55-4ac1-b8d8-34662e4e1f17', 'end_date': datetime.datetime(2010, 4, 14, 7, 17, 17), 'start_time': datetime.datetime(2015, 10, 13, 5, 49, 53), 'rate': 5, 'updated_at': datetime.datetime(2011, 8, 15, 1, 12, 3), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '732b97dd-364b-4103-9c3c-2afcc61516ad', 'job_description': 'Business-focused methodical hierarchy', 'start_date': datetime.datetime(2019, 6, 26, 13, 17, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 23, 11, 43, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 27, 13, 49, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1c73fcac-1e7d-4ce5-b061-8eea164393c9', 'end_date': datetime.datetime(2011, 3, 10, 10, 58, 19), 'start_time': datetime.datetime(2017, 8, 19, 0, 12, 16), 'rate': 2, 'updated_at': datetime.datetime(2019, 4, 22, 20, 30, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0e3c6bf6-0647-473f-b937-11183d6275b8', 'job_description': 'Up-sized solution-oriented methodology', 'start_date': datetime.datetime(2011, 8, 22, 0, 44, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 4, 20, 5, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 21, 15, 15, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5c2cb9a2-d3e8-495f-9ba0-b602c34fd90a', 'end_date': datetime.datetime(2018, 2, 27, 7, 7, 26), 'start_time': datetime.datetime(2019, 1, 20, 15, 29, 13), 'rate': 3, 'updated_at': datetime.datetime(2012, 12, 29, 11, 57, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5ca98c43-300e-4969-b7e4-25baf937a375', 'job_description': 'Cloned methodical intranet', 'start_date': datetime.datetime(2015, 11, 19, 11, 54, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 27, 9, 52, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 17, 13, 15, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '82cecd47-9a2d-4519-b1db-da679a24d7bf', 'end_date': datetime.datetime(2017, 6, 2, 16, 17, 2), 'start_time': datetime.datetime(2013, 4, 1, 3, 30, 4), 'rate': 3, 'updated_at': datetime.datetime(2015, 5, 23, 21, 39, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ff6f6f4c-bafc-4e42-92f4-34292ca01dbb', 'job_description': 'Progressive didactic knowledge user', 'start_date': datetime.datetime(2014, 8, 25, 7, 27, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 25, 1, 58, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 29, 0, 9, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0d56cdaf-f7f2-440e-b633-2e8e61aafb58', 'end_date': datetime.datetime(2017, 4, 18, 14, 22, 59), 'start_time': datetime.datetime(2019, 10, 31, 19, 5, 50), 'rate': 1, 'updated_at': datetime.datetime(2018, 7, 24, 1, 56, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a9089287-1140-4ed9-a753-d652e6f7992f', 'job_description': 'Stand-alone intangible infrastructure', 'start_date': datetime.datetime(2017, 12, 4, 8, 37, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 26, 19, 35, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 2, 8, 43, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f7a664f2-055c-4360-90dd-a82700786072', 'end_date': datetime.datetime(2011, 6, 12, 0, 35, 2), 'start_time': datetime.datetime(2013, 2, 28, 22, 43), 'rate': 2, 'updated_at': datetime.datetime(2017, 4, 20, 12, 31, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a94fb1e8-62a8-4ef2-8e67-fafbeb4edfdd', 'job_description': 'Extended holistic website', 'start_date': datetime.datetime(2018, 11, 26, 4, 17, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 2, 15, 22, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 3, 3, 10, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2f92f230-4be6-4e7f-98eb-33320689cfa9', 'end_date': datetime.datetime(2015, 5, 7, 0, 58, 5), 'start_time': datetime.datetime(2011, 9, 26, 18, 14, 29), 'rate': 1, 'updated_at': datetime.datetime(2011, 5, 18, 9, 13, 41), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8192e7b0-5b22-47b9-95aa-b2cbfa024e76', 'job_description': 'Object-based upward-trending policy', 'start_date': datetime.datetime(2012, 7, 11, 18, 46, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 20, 2, 3, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 31, 22, 26, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '78cab173-632f-4f64-80ae-d47f5a16a4bc', 'end_date': datetime.datetime(2012, 7, 31, 7, 55, 5), 'start_time': datetime.datetime(2016, 5, 15, 6, 55, 4), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 16, 23, 21, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Nauru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '96449bd9-2025-4723-8c32-44b0aee910a0', 'job_description': 'Versatile executive middleware', 'start_date': datetime.datetime(2018, 5, 26, 22, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 3, 31, 19, 27, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 14, 5, 40, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7f988cdb-fab8-4ee3-b2db-8e59e16ca0c7', 'end_date': datetime.datetime(2016, 10, 30, 13, 49, 28), 'start_time': datetime.datetime(2012, 10, 28, 7, 33, 32), 'rate': 1, 'updated_at': datetime.datetime(2019, 11, 7, 7, 59, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '793fa49f-e2fe-4062-856f-c8f4e0c574fd', 'job_description': 'Innovative value-added matrix', 'start_date': datetime.datetime(2011, 5, 8, 18, 2, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 24, 17, 15, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 22, 3, 29, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd0c2f7e1-3f2a-4368-b036-a44aad1863b0', 'end_date': datetime.datetime(2012, 10, 7, 1, 41, 9), 'start_time': datetime.datetime(2010, 7, 2, 1, 6, 23), 'rate': 4, 'updated_at': datetime.datetime(2019, 12, 1, 20, 48, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '71b10d01-50ae-47d4-842c-5883ddfe8791', 'job_description': 'Down-sized dedicated standardization', 'start_date': datetime.datetime(2015, 2, 21, 7, 53, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 22, 7, 46, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 1, 15, 55, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '81648d51-a628-46ec-9990-024d6b6cfa71', 'end_date': datetime.datetime(2019, 5, 2, 8, 18, 54), 'start_time': datetime.datetime(2017, 12, 3, 0, 36, 21), 'rate': 1, 'updated_at': datetime.datetime(2012, 1, 13, 7, 32, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '67149a36-82d4-42fa-b98a-447a42406a04', 'job_description': 'Self-enabling national software', 'start_date': datetime.datetime(2017, 5, 6, 9, 57, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 29, 8, 14, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 2, 9, 29, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f378b941-6ecb-4798-9430-6e1827a51748', 'end_date': datetime.datetime(2017, 8, 31, 6, 16, 50), 'start_time': datetime.datetime(2013, 4, 19, 10, 10, 2), 'rate': 2, 'updated_at': datetime.datetime(2012, 7, 11, 15, 21, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd1d23cc5-6c10-415f-accc-29a771bb6c3e', 'job_description': 'Customer-focused mobile projection', 'start_date': datetime.datetime(2018, 4, 20, 6, 10, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 5, 1, 46, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 26, 4, 3, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e4d882fb-0c84-4dc2-87ad-bba8b35e6ea9', 'end_date': datetime.datetime(2011, 5, 17, 22, 13, 58), 'start_time': datetime.datetime(2014, 4, 19, 4, 39, 49), 'rate': 4, 'updated_at': datetime.datetime(2014, 7, 4, 5, 16, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Oman', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7ec49053-d7bf-41a2-a173-3af5751579fa', 'job_description': 'Enterprise-wide client-server collaboration', 'start_date': datetime.datetime(2013, 11, 25, 23, 58, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 22, 4, 18, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 23, 22, 14, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '787c1a04-72b7-437e-ab67-a36c406abf0f', 'end_date': datetime.datetime(2019, 3, 11, 1, 5, 44), 'start_time': datetime.datetime(2013, 2, 3, 7, 1, 40), 'rate': 4, 'updated_at': datetime.datetime(2013, 4, 24, 4, 50, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a881ada8-ae3c-4074-9dfd-78cfa02b0435', 'job_description': 'Inverse foreground adapter', 'start_date': datetime.datetime(2015, 10, 25, 2, 1, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 24, 14, 22, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 17, 3, 17, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5284c6ae-06be-49b9-b901-a5383105e575', 'end_date': datetime.datetime(2018, 4, 8, 5, 53, 5), 'start_time': datetime.datetime(2011, 5, 6, 8, 15, 58), 'rate': 3, 'updated_at': datetime.datetime(2011, 11, 30, 15, 35, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8c19e90-cfd5-4a9f-b4b0-d5631088631d', 'job_description': 'Synchronised eco-centric approach', 'start_date': datetime.datetime(2014, 3, 21, 19, 5, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 10, 13, 1, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 29, 10, 32, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9f4bab11-5790-449c-bbff-e6f074ae558e', 'end_date': datetime.datetime(2017, 5, 14, 13, 2, 41), 'start_time': datetime.datetime(2018, 2, 18, 23, 48, 41), 'rate': 4, 'updated_at': datetime.datetime(2019, 6, 27, 13, 21, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '05d9082b-cffc-48f3-855c-23a557c451b6', 'job_description': 'Function-based grid-enabled toolset', 'start_date': datetime.datetime(2017, 7, 12, 15, 28, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 2, 17, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 26, 21, 14, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8d5b45e1-a008-458d-b725-7ab2e4cc0e46', 'end_date': datetime.datetime(2016, 3, 22, 20, 30, 23), 'start_time': datetime.datetime(2014, 1, 4, 3, 3, 55), 'rate': 3, 'updated_at': datetime.datetime(2010, 8, 31, 2, 11, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Angola', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c0fa0e92-c0ad-4a4c-83bd-ec6f20d63834', 'job_description': 'Total global customer loyalty', 'start_date': datetime.datetime(2013, 5, 3, 15, 34, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 6, 23, 53, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 20, 16, 3, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '85804a00-a469-441a-a3f2-97d7537a907c', 'end_date': datetime.datetime(2015, 7, 2, 12, 32, 8), 'start_time': datetime.datetime(2011, 1, 29, 20, 19, 7), 'rate': 2, 'updated_at': datetime.datetime(2017, 9, 19, 13, 8, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b211dd38-4713-4c6e-83bf-576716f10320', 'job_description': 'Phased foreground framework', 'start_date': datetime.datetime(2018, 5, 19, 8, 36, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 17, 0, 40, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 1, 16, 16, 15, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2a85cafc-9599-4d4f-948c-c50185edf263', 'end_date': datetime.datetime(2017, 6, 3, 7, 38, 38), 'start_time': datetime.datetime(2016, 10, 11, 17, 57, 35), 'rate': 3, 'updated_at': datetime.datetime(2013, 10, 9, 12, 42, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6585ff9e-5897-42d6-9fbe-d3f750bf85eb', 'job_description': 'Robust transitional adapter', 'start_date': datetime.datetime(2016, 3, 23, 2, 23, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 17, 13, 57, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 7, 15, 10, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2c0792b0-8d09-40e4-a18a-dbdab8c2a506', 'end_date': datetime.datetime(2015, 9, 9, 16, 30, 2), 'start_time': datetime.datetime(2012, 12, 27, 16, 6, 38), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 4, 14, 31, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Russian Federation', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e6e54b9e-8403-4207-8aa6-e4aa5147e0e1', 'job_description': 'Progressive content-based capability', 'start_date': datetime.datetime(2011, 2, 5, 11, 29, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 16, 0, 26, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 14, 17, 24, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '696c0084-bbfb-4f92-9cd7-4c66ca9db357', 'end_date': datetime.datetime(2011, 9, 25, 14, 57, 38), 'start_time': datetime.datetime(2019, 2, 4, 17, 40, 54), 'rate': 4, 'updated_at': datetime.datetime(2013, 4, 13, 18, 48, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3875070a-28e0-4860-b2d7-f00bd56fd7d8', 'job_description': 'Cloned local initiative', 'start_date': datetime.datetime(2019, 9, 7, 9, 48, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 20, 19, 31, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 8, 15, 12, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8fd489da-8e07-4ab3-9477-560c9a2f01ae', 'end_date': datetime.datetime(2012, 12, 8, 22, 23), 'start_time': datetime.datetime(2013, 12, 18, 0, 2, 14), 'rate': 5, 'updated_at': datetime.datetime(2012, 9, 29, 22, 8, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '00e3fae3-a4da-45bc-a577-9617f672a573', 'job_description': 'Public-key regional alliance', 'start_date': datetime.datetime(2014, 5, 24, 13, 40, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 8, 14, 59, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 9, 14, 32, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ec8bc42f-e279-4d09-8d7f-b8c960fb019b', 'end_date': datetime.datetime(2012, 6, 14, 19, 3, 43), 'start_time': datetime.datetime(2014, 12, 20, 12, 49, 53), 'rate': 2, 'updated_at': datetime.datetime(2013, 8, 23, 18, 38, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5e5193d5-b7c1-4e0a-a4ca-13421bc842be', 'job_description': 'Assimilated assymetric Graphical User Interface', 'start_date': datetime.datetime(2014, 1, 9, 18, 56, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 8, 17, 39, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 23, 5, 24, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '403fafd3-0f18-4924-8675-ba7dec7c23ce', 'end_date': datetime.datetime(2015, 8, 5, 7, 25, 17), 'start_time': datetime.datetime(2015, 6, 21, 11, 16, 4), 'rate': 5, 'updated_at': datetime.datetime(2011, 7, 4, 7, 13, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd0b8915c-14fb-43a9-8f70-dd1e2fee5375', 'job_description': 'Fundamental mission-critical capacity', 'start_date': datetime.datetime(2012, 9, 16, 23, 47, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 22, 19, 10, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 11, 16, 22, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7171a595-014d-410b-9fe2-0348faa66adc', 'end_date': datetime.datetime(2011, 7, 27, 7, 42, 18), 'start_time': datetime.datetime(2010, 3, 26, 19, 22, 11), 'rate': 2, 'updated_at': datetime.datetime(2014, 11, 2, 15, 9, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bfbf4211-d6ad-43c9-bd57-853400711762', 'job_description': 'Digitized clear-thinking array', 'start_date': datetime.datetime(2017, 7, 1, 22, 27, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 17, 0, 50, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 5, 5, 26, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd41b8735-9bc2-4797-940a-d3c4f8ab57fa', 'end_date': datetime.datetime(2019, 5, 1, 1, 43, 25), 'start_time': datetime.datetime(2019, 1, 21, 0, 50, 31), 'rate': 4, 'updated_at': datetime.datetime(2014, 11, 25, 15, 35, 10), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7d074452-5140-4d90-83a9-82640654bd49', 'job_description': 'Cloned coherent moderator', 'start_date': datetime.datetime(2019, 5, 17, 8, 43, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 8, 14, 5, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 30, 9, 37, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1372a3ab-106a-49eb-bd2d-81e3293032d7', 'end_date': datetime.datetime(2010, 8, 21, 14, 0, 42), 'start_time': datetime.datetime(2011, 8, 16, 7, 50, 25), 'rate': 5, 'updated_at': datetime.datetime(2014, 11, 3, 21, 51, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5e911c22-118b-43a1-8ef2-d5a284899be9', 'job_description': 'Ergonomic object-oriented productivity', 'start_date': datetime.datetime(2018, 7, 26, 11, 25, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 15, 23, 24, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 11, 22, 26, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '48bdfb92-317f-4007-9854-7b71f1043618', 'end_date': datetime.datetime(2017, 4, 14, 13, 50, 8), 'start_time': datetime.datetime(2018, 12, 2, 7, 28, 19), 'rate': 3, 'updated_at': datetime.datetime(2019, 10, 11, 5, 44, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '74741cfa-1c11-4e97-9bd5-c548d3e4237c', 'job_description': 'Fundamental bifurcated orchestration', 'start_date': datetime.datetime(2017, 9, 2, 6, 4, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 18, 13, 21, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 6, 1, 45, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd887e514-2ce3-4348-b53e-8bed150154b6', 'end_date': datetime.datetime(2014, 6, 10, 5, 13, 28), 'start_time': datetime.datetime(2018, 11, 26, 14, 32, 41), 'rate': 3, 'updated_at': datetime.datetime(2016, 4, 11, 22, 58, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '45a0f7c6-c2dc-4988-a80a-22121da01a38', 'job_description': 'Grass-roots intangible concept', 'start_date': datetime.datetime(2011, 11, 19, 2, 55, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 28, 1, 15, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 10, 3, 30, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a9da958a-fe90-46e5-b009-2fd3b41c9769', 'end_date': datetime.datetime(2015, 2, 15, 2, 6, 8), 'start_time': datetime.datetime(2016, 8, 11, 12, 17, 28), 'rate': 1, 'updated_at': datetime.datetime(2018, 8, 21, 17, 35, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '79e93dcd-db39-49b5-adbe-bcb65ff6b0db', 'job_description': 'Devolved executive process improvement', 'start_date': datetime.datetime(2013, 7, 6, 7, 30, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 21, 8, 59, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 26, 4, 50, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bed88a4c-89a2-44f1-b0d1-f97e8d768c5e', 'end_date': datetime.datetime(2013, 1, 28, 14, 56, 18), 'start_time': datetime.datetime(2017, 12, 19, 18, 23, 14), 'rate': 4, 'updated_at': datetime.datetime(2012, 4, 6, 19, 28, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1b71662b-f403-433d-81c0-3ce6994b30f7', 'job_description': 'Proactive bifurcated open architecture', 'start_date': datetime.datetime(2015, 6, 20, 5, 4, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 17, 20, 37, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 4, 18, 11, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '39e08ca7-04da-4ecf-9512-d82417b3e48b', 'end_date': datetime.datetime(2011, 10, 29, 12, 24, 37), 'start_time': datetime.datetime(2015, 10, 23, 12, 25, 22), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 30, 19, 10, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f40b0ba9-f876-4805-958c-9fd7096391a7', 'job_description': 'Digitized exuding budgetary management', 'start_date': datetime.datetime(2019, 10, 10, 7, 57, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 15, 20, 5, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 2, 21, 34, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '94101900-e07b-49c0-b378-0d7d4ebf98d9', 'end_date': datetime.datetime(2018, 12, 14, 3, 24, 55), 'start_time': datetime.datetime(2010, 10, 12, 12, 4, 29), 'rate': 2, 'updated_at': datetime.datetime(2016, 7, 7, 9, 33, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '62e48852-6b3e-48c6-8d9e-66f50e54550b', 'job_description': 'Mandatory holistic structure', 'start_date': datetime.datetime(2013, 1, 31, 23, 46, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 11, 21, 15, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 7, 10, 50, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '49628f49-0453-4af6-9701-155aeef0de2a', 'end_date': datetime.datetime(2019, 7, 12, 3, 41, 50), 'start_time': datetime.datetime(2010, 11, 7, 2, 24, 9), 'rate': 5, 'updated_at': datetime.datetime(2013, 1, 12, 6, 13, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '273ef91d-8077-44b0-84a8-4c7c9bed3451', 'job_description': 'Phased reciprocal synergy', 'start_date': datetime.datetime(2016, 11, 1, 11, 42, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 22, 16, 50, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 21, 23, 9, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e6fbf32c-25fd-44bd-8b64-a9507c92ceb2', 'end_date': datetime.datetime(2015, 1, 23, 19, 17, 14), 'start_time': datetime.datetime(2012, 11, 7, 3, 58, 32), 'rate': 2, 'updated_at': datetime.datetime(2010, 5, 7, 11, 35, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '995c5127-5380-452b-8fee-8e74ff254414', 'job_description': 'Cloned optimizing moderator', 'start_date': datetime.datetime(2011, 12, 24, 15, 57, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 26, 23, 15, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 10, 7, 56, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'be3a6bf5-ac29-4d05-b7ce-8dfc37a89107', 'end_date': datetime.datetime(2017, 3, 24, 7, 28, 28), 'start_time': datetime.datetime(2016, 11, 25, 0, 8, 53), 'rate': 3, 'updated_at': datetime.datetime(2014, 9, 21, 13, 14, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4743834e-f5c2-4dbf-a16c-c8ec15e45124', 'job_description': 'Streamlined content-based hierarchy', 'start_date': datetime.datetime(2018, 2, 23, 15, 8, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 18, 11, 46, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 21, 8, 50, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '142f8bbe-211a-476e-af32-31709355eca0', 'end_date': datetime.datetime(2016, 12, 2, 13, 13, 24), 'start_time': datetime.datetime(2018, 7, 11, 15, 7, 50), 'rate': 2, 'updated_at': datetime.datetime(2013, 7, 19, 11, 24, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ae6b9ab7-4f3b-4b71-8247-b5bc7025e3fb', 'job_description': 'Realigned zero administration Graphic Interface', 'start_date': datetime.datetime(2018, 12, 25, 20, 17, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 5, 10, 17, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 10, 17, 27, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b67ef79-6a92-4442-8310-4a23dfa7e4ec', 'end_date': datetime.datetime(2015, 3, 6, 18, 21, 24), 'start_time': datetime.datetime(2019, 5, 7, 18, 32, 23), 'rate': 1, 'updated_at': datetime.datetime(2016, 6, 22, 23, 17, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '453a8d3b-842b-4d1d-8677-b2a87a0e8efa', 'job_description': 'Reverse-engineered real-time workforce', 'start_date': datetime.datetime(2019, 3, 18, 21, 42, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 27, 22, 23, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 8, 14, 29, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ad6ab079-933c-4ab3-9676-5203fc22918d', 'end_date': datetime.datetime(2013, 5, 25, 16, 54, 28), 'start_time': datetime.datetime(2019, 10, 17, 14, 24, 8), 'rate': 1, 'updated_at': datetime.datetime(2017, 2, 4, 22, 43, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Holy See (Vatican City State)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0f6af571-22ef-41b1-9c29-4893e4c40e6d', 'job_description': 'Networked dedicated focus group', 'start_date': datetime.datetime(2017, 4, 18, 0, 46, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 22, 16, 31, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 13, 13, 6, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f227bcfe-9c7e-4c98-a238-97773a036eb1', 'end_date': datetime.datetime(2013, 1, 1, 21, 18, 14), 'start_time': datetime.datetime(2011, 3, 22, 15, 57, 37), 'rate': 2, 'updated_at': datetime.datetime(2014, 5, 31, 19, 52, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Germany', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'db282193-2521-4aa7-9882-f14d2617d904', 'job_description': 'Customer-focused client-server conglomeration', 'start_date': datetime.datetime(2016, 4, 14, 13, 55, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 6, 16, 55, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 23, 2, 20, 8), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '266f7bb0-e8dd-4e25-9968-dab595add4a9', 'end_date': datetime.datetime(2012, 6, 16, 0, 36), 'start_time': datetime.datetime(2013, 11, 1, 8, 57, 2), 'rate': 5, 'updated_at': datetime.datetime(2018, 7, 2, 19, 59, 43), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '643834e6-a6d5-441f-b2d8-2b1c4f9f35e0', 'job_description': 'Seamless uniform definition', 'start_date': datetime.datetime(2010, 7, 9, 1, 47, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 1, 16, 31, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 24, 5, 16, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc103a87-8b61-4705-82ae-75a7110bb72d', 'end_date': datetime.datetime(2017, 11, 6, 0, 0, 19), 'start_time': datetime.datetime(2012, 1, 29, 11, 53, 54), 'rate': 4, 'updated_at': datetime.datetime(2013, 8, 15, 19, 2, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Northern Mariana Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8379abdf-a244-404c-b5d9-734cfb9169f2', 'job_description': 'Exclusive global architecture', 'start_date': datetime.datetime(2013, 5, 10, 0, 57, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 12, 15, 37, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 19, 4, 1, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cc026ba9-3c89-4901-9237-5623cebfd5d2', 'end_date': datetime.datetime(2011, 7, 15, 14, 24, 18), 'start_time': datetime.datetime(2012, 9, 7, 16, 3, 28), 'rate': 4, 'updated_at': datetime.datetime(2018, 10, 9, 18, 10, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f4d6db58-c7cc-4e34-aeb0-943080c44158', 'job_description': 'Multi-channelled 3rd generation architecture', 'start_date': datetime.datetime(2014, 8, 6, 19, 28, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 20, 8, 18, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 12, 9, 31, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '181a66b2-84a2-4fc2-8dc2-91b98947deca', 'end_date': datetime.datetime(2014, 6, 30, 8, 33, 48), 'start_time': datetime.datetime(2010, 6, 15, 14, 22, 31), 'rate': 5, 'updated_at': datetime.datetime(2011, 1, 31, 2, 59, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2348eec1-bb9e-4ff1-91af-b9910f480dbb', 'job_description': 'Polarised static task-force', 'start_date': datetime.datetime(2010, 7, 13, 17, 2, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 17, 9, 14, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 30, 7, 26, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2b50c0db-8ce4-405f-b0a0-cee9afcb92a2', 'end_date': datetime.datetime(2018, 5, 29, 3, 26, 49), 'start_time': datetime.datetime(2011, 7, 29, 3, 23, 5), 'rate': 5, 'updated_at': datetime.datetime(2014, 6, 10, 6, 51, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Serbia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aa3c08d1-ab30-4da0-9a68-863600c61119', 'job_description': 'Public-key leading edge hub', 'start_date': datetime.datetime(2015, 10, 1, 1, 45, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 23, 18, 1, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 6, 19, 3, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f5e33c93-9daf-4118-a578-8e6af791bb91', 'end_date': datetime.datetime(2015, 10, 19, 22, 11, 46), 'start_time': datetime.datetime(2013, 1, 10, 17, 16, 40), 'rate': 5, 'updated_at': datetime.datetime(2015, 2, 21, 4, 33, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '72eb189f-484e-4060-9ac6-e41aeeaa50f4', 'job_description': 'Versatile coherent toolset', 'start_date': datetime.datetime(2018, 5, 2, 13, 5, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 20, 22, 57, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 11, 2, 54, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c191e3ee-4564-49f9-8c9d-eb572fd0a4ca', 'end_date': datetime.datetime(2015, 2, 16, 9, 49, 13), 'start_time': datetime.datetime(2010, 11, 4, 17, 24, 14), 'rate': 1, 'updated_at': datetime.datetime(2012, 1, 27, 16, 0, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Czech Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd5d73c04-b441-43c6-9fcc-6f90b6ae8841', 'job_description': 'Multi-channelled client-server projection', 'start_date': datetime.datetime(2018, 10, 9, 5, 3, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 26, 4, 18, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 21, 13, 7, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5543e2c1-a885-4684-bbac-7d6050912acd', 'end_date': datetime.datetime(2018, 7, 28, 16, 16, 10), 'start_time': datetime.datetime(2018, 2, 16, 6, 33, 59), 'rate': 1, 'updated_at': datetime.datetime(2012, 1, 16, 16, 22, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd95eeccf-b561-4169-825e-c4070b03db8a', 'job_description': 'Open-source radical service-desk', 'start_date': datetime.datetime(2010, 11, 8, 16, 31, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 27, 4, 8, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 29, 3, 49, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eee28215-b71b-4306-b6fa-cfc007238a85', 'end_date': datetime.datetime(2012, 8, 3, 15, 33, 56), 'start_time': datetime.datetime(2018, 12, 30, 18, 31, 21), 'rate': 5, 'updated_at': datetime.datetime(2011, 3, 7, 12, 51, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5f363d28-ea09-45ba-9537-bb7d3d622ec9', 'job_description': 'Adaptive well-modulated data-warehouse', 'start_date': datetime.datetime(2010, 6, 15, 16, 17, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 15, 17, 58, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 19, 2, 18, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9da26edf-5018-4006-ac73-3a729b825a95', 'end_date': datetime.datetime(2014, 8, 2, 3, 58, 25), 'start_time': datetime.datetime(2019, 7, 15, 15, 4, 27), 'rate': 4, 'updated_at': datetime.datetime(2012, 6, 4, 23, 4, 58), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9f0ccaad-7520-4616-99ef-d7d16c3c10d7', 'job_description': 'Reactive uniform website', 'start_date': datetime.datetime(2011, 4, 28, 22, 40, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 13, 19, 50, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 21, 8, 3, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7ddc6a9e-cc0c-42b5-bbb8-3731c28df056', 'end_date': datetime.datetime(2015, 10, 21, 16, 1, 35), 'start_time': datetime.datetime(2014, 12, 21, 5, 33, 31), 'rate': 4, 'updated_at': datetime.datetime(2014, 7, 8, 22, 4, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Botswana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '68de7bb2-a3c6-4242-b4c0-51ddf6445113', 'job_description': 'Centralized upward-trending strategy', 'start_date': datetime.datetime(2017, 11, 6, 23, 58, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 5, 21, 8, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 4, 14, 11, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b2b65528-722a-458f-9d1d-0a7437f81203', 'end_date': datetime.datetime(2013, 5, 20, 3, 30, 50), 'start_time': datetime.datetime(2018, 11, 19, 14, 47, 32), 'rate': 4, 'updated_at': datetime.datetime(2012, 8, 11, 11, 14, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7f0af0f1-5f2a-4b5c-9dfd-698a1687876e', 'job_description': 'Sharable reciprocal support', 'start_date': datetime.datetime(2012, 2, 19, 7, 2, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 30, 17, 26, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 11, 15, 12, 25, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f6fa52df-4703-46fc-b448-7ca26c984e21', 'end_date': datetime.datetime(2011, 6, 11, 7, 32, 36), 'start_time': datetime.datetime(2013, 8, 29, 23, 35, 16), 'rate': 3, 'updated_at': datetime.datetime(2013, 8, 19, 21, 26, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f033525f-b75d-4267-89a2-c97e59049c34', 'job_description': 'Seamless fault-tolerant secured line', 'start_date': datetime.datetime(2014, 6, 27, 8, 57, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 10, 9, 33, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 5, 15, 19, 48, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c478c712-d575-48c1-97e6-98f158f1de99', 'end_date': datetime.datetime(2011, 5, 19, 7, 7, 43), 'start_time': datetime.datetime(2016, 4, 11, 20, 58, 17), 'rate': 1, 'updated_at': datetime.datetime(2015, 4, 13, 16, 12, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Brazil', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3c528cea-f4a2-4abe-9719-f94a1258709c', 'job_description': 'Focused high-level policy', 'start_date': datetime.datetime(2014, 1, 24, 10, 15, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 19, 15, 16, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 6, 10, 5, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fd1a85fb-160d-47a4-8fca-579ec4604160', 'end_date': datetime.datetime(2011, 6, 2, 15, 59, 49), 'start_time': datetime.datetime(2016, 6, 29, 6, 1, 30), 'rate': 3, 'updated_at': datetime.datetime(2011, 6, 15, 17, 4, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c0e4b7c8-9d7c-4b93-bbab-d02ff4d5b9cc', 'job_description': 'Multi-layered asynchronous extranet', 'start_date': datetime.datetime(2017, 12, 23, 22, 23, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 3, 9, 13, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 22, 17, 41, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ab30d797-ec5a-4701-a2e9-4306179cf352', 'end_date': datetime.datetime(2016, 12, 14, 1, 56, 5), 'start_time': datetime.datetime(2014, 12, 31, 6, 7, 32), 'rate': 3, 'updated_at': datetime.datetime(2015, 11, 13, 1, 45, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ea112873-7fc1-4f95-a564-699e58163028', 'job_description': 'Stand-alone clear-thinking software', 'start_date': datetime.datetime(2017, 3, 3, 8, 23, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 20, 11, 57, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 7, 16, 36, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb054add-7fd7-4c69-8ffb-f509dfab42b3', 'end_date': datetime.datetime(2016, 5, 3, 12, 51, 52), 'start_time': datetime.datetime(2018, 2, 15, 12, 13, 32), 'rate': 2, 'updated_at': datetime.datetime(2012, 7, 16, 13, 50, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '564dbe05-9ee3-4658-896b-5f81ba013c9d', 'job_description': 'Persevering scalable success', 'start_date': datetime.datetime(2019, 8, 3, 6, 59, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 11, 20, 8, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 23, 12, 54, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '96c201eb-18d9-4225-a873-02445f043a24', 'end_date': datetime.datetime(2010, 4, 9, 14, 44, 11), 'start_time': datetime.datetime(2016, 7, 5, 19, 43, 23), 'rate': 2, 'updated_at': datetime.datetime(2019, 2, 19, 17, 4, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bad0bc3e-0758-4373-ab87-4e6365cddaa0', 'job_description': 'Focused multi-tasking time-frame', 'start_date': datetime.datetime(2018, 9, 6, 20, 40, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 7, 21, 42, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 10, 8, 21, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5228080-d041-4a6d-8367-e8a59bcbb83f', 'end_date': datetime.datetime(2014, 7, 15, 13, 13, 58), 'start_time': datetime.datetime(2019, 8, 31, 9, 25, 5), 'rate': 2, 'updated_at': datetime.datetime(2014, 9, 13, 9, 36, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Ireland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7449bb85-b701-4b09-8e28-65cd3f172b52', 'job_description': 'Stand-alone system-worthy paradigm', 'start_date': datetime.datetime(2015, 7, 30, 20, 18, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 4, 5, 10, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 20, 19, 10, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eaf292cb-fc9d-454f-bbda-e9ae127ab96e', 'end_date': datetime.datetime(2013, 6, 23, 6, 16, 39), 'start_time': datetime.datetime(2012, 3, 9, 16, 30, 11), 'rate': 2, 'updated_at': datetime.datetime(2014, 1, 20, 17, 48, 23), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '35a16849-392c-4af3-88ac-f0b21f567e87', 'job_description': 'Fully-configurable secondary implementation', 'start_date': datetime.datetime(2018, 12, 27, 1, 43, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 27, 15, 18, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 26, 7, 31, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '82f19b30-f2c4-4c4b-a1d3-605368c2cc1a', 'end_date': datetime.datetime(2013, 5, 5, 18, 55, 41), 'start_time': datetime.datetime(2014, 5, 27, 7, 34, 50), 'rate': 3, 'updated_at': datetime.datetime(2011, 1, 25, 19, 8, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1ad16bba-350f-4293-8b71-e00f5584f849', 'job_description': 'Open-architected bi-directional knowledge base', 'start_date': datetime.datetime(2014, 5, 14, 6, 35, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 20, 17, 4, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 18, 21, 3, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a5dd8539-49a7-442e-b677-6f44db66fb68', 'end_date': datetime.datetime(2017, 10, 8, 11, 35, 54), 'start_time': datetime.datetime(2011, 6, 7, 23, 1, 19), 'rate': 5, 'updated_at': datetime.datetime(2014, 3, 22, 7, 52, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b105953f-a63e-4712-8cac-b82881d1732f', 'job_description': 'Devolved multi-state functionalities', 'start_date': datetime.datetime(2019, 8, 1, 2, 30, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 4, 3, 43, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 10, 2, 7, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb318978-32b6-4082-b45d-e8a1bd2451c6', 'end_date': datetime.datetime(2015, 1, 30, 18, 37, 59), 'start_time': datetime.datetime(2019, 9, 8, 4, 46, 47), 'rate': 2, 'updated_at': datetime.datetime(2013, 7, 6, 20, 54, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5c053ea3-05fe-479b-82af-2996187f4e6a', 'job_description': 'Up-sized directional archive', 'start_date': datetime.datetime(2016, 1, 23, 8, 16, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 3, 22, 25, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 8, 21, 54, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6998f72b-c9b2-4bae-9745-f5f974a6429e', 'end_date': datetime.datetime(2010, 6, 18, 20, 46, 3), 'start_time': datetime.datetime(2015, 6, 1, 1, 31, 5), 'rate': 2, 'updated_at': datetime.datetime(2016, 8, 18, 14, 46, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
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{'_id': 'e8a125e2-e6fd-426a-9e08-5256fb766ad6', 'job_description': 'Face to face bandwidth-monitored implementation', 'start_date': datetime.datetime(2012, 4, 3, 10, 26, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 11, 13, 45, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 23, 16, 5, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f69323d6-573f-4e57-9624-ec7001dd5685', 'end_date': datetime.datetime(2013, 7, 9, 15, 40, 19), 'start_time': datetime.datetime(2013, 6, 5, 23, 53, 52), 'rate': 3, 'updated_at': datetime.datetime(2018, 2, 15, 11, 30, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
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{'_id': '251bbcd3-0ca0-4492-b214-fab18e36ef1e', 'job_description': 'Right-sized asynchronous standardization', 'start_date': datetime.datetime(2013, 7, 9, 19, 41, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 15, 4, 49, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 7, 11, 42, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '082e5fbd-5c4c-4d5a-b593-90d6970907a7', 'end_date': datetime.datetime(2015, 2, 15, 0, 36, 11), 'start_time': datetime.datetime(2019, 7, 20, 14, 52, 12), 'rate': 2, 'updated_at': datetime.datetime(2014, 5, 14, 20, 31, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '228e4f09-a1e3-4364-baf5-a5204a44dac9', 'job_description': 'Down-sized interactive firmware', 'start_date': datetime.datetime(2012, 12, 6, 23, 32, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 28, 12, 34, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 18, 6, 30, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '534c1533-eb1e-4b31-b49f-30bfb19b9176', 'end_date': datetime.datetime(2017, 1, 29, 18, 13, 8), 'start_time': datetime.datetime(2014, 9, 2, 4, 56, 1), 'rate': 4, 'updated_at': datetime.datetime(2011, 6, 30, 11, 32, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3f05f405-80a9-4dc0-a548-1b8c97e6408a', 'job_description': 'Cloned needs-based utilisation', 'start_date': datetime.datetime(2015, 2, 14, 21, 24, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 14, 22, 38, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 6, 9, 3, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '60a30205-ad91-485f-837c-6129cfe0618e', 'end_date': datetime.datetime(2010, 1, 20, 13, 9, 39), 'start_time': datetime.datetime(2015, 7, 17, 10, 15, 1), 'rate': 5, 'updated_at': datetime.datetime(2011, 7, 26, 3, 29, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '07a0da8f-5a11-4a91-80f7-2c8a85ddffea', 'job_description': 'Adaptive system-worthy system engine', 'start_date': datetime.datetime(2018, 10, 12, 1, 0, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 16, 15, 34, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 23, 9, 7, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '11055e2e-c080-47eb-aa92-add8007d7493', 'end_date': datetime.datetime(2017, 5, 5, 17, 35, 46), 'start_time': datetime.datetime(2019, 5, 7, 9, 23, 17), 'rate': 1, 'updated_at': datetime.datetime(2013, 10, 8, 14, 14, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Bermuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fa223cef-c7ff-4389-8ff6-ea2e4c9dd1ed', 'job_description': 'Self-enabling motivating capacity', 'start_date': datetime.datetime(2017, 12, 29, 3, 16, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 28, 17, 42, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 17, 1, 30, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e66cc48b-38d6-48b3-b8d1-e65dda37001c', 'end_date': datetime.datetime(2015, 9, 28, 10, 51, 58), 'start_time': datetime.datetime(2012, 6, 23, 8, 1, 12), 'rate': 4, 'updated_at': datetime.datetime(2017, 6, 9, 8, 21, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Heard Island and McDonald Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '19283fda-0d2b-4d37-a087-c8ca5ac41c3c', 'job_description': 'Proactive dynamic database', 'start_date': datetime.datetime(2012, 3, 17, 14, 39, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 17, 13, 25, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 3, 23, 39, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '37b6236a-1ed4-4269-8921-1af485443273', 'end_date': datetime.datetime(2019, 9, 30, 13, 21, 29), 'start_time': datetime.datetime(2013, 10, 27, 11, 25, 14), 'rate': 5, 'updated_at': datetime.datetime(2012, 6, 26, 5, 38, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Martinique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '94ae8342-0dc7-4716-a492-d91378325fa6', 'job_description': 'Vision-oriented stable time-frame', 'start_date': datetime.datetime(2017, 8, 11, 17, 35, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 27, 14, 30, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 11, 16, 31, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f8f3a263-07ef-4e55-bf76-54ef94bd7aca', 'end_date': datetime.datetime(2017, 11, 2, 6, 16, 42), 'start_time': datetime.datetime(2015, 1, 9, 7, 15, 47), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 17, 17, 31, 42), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '34425ef9-89a3-4e91-a0ad-6b581c387783', 'job_description': 'Profound zero defect portal', 'start_date': datetime.datetime(2018, 7, 23, 18, 32, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 23, 19, 35, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 18, 22, 6, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aec5a7db-8449-4a7b-8624-0e0ad660d9d9', 'end_date': datetime.datetime(2011, 6, 27, 4, 34, 39), 'start_time': datetime.datetime(2011, 4, 3, 0, 29, 15), 'rate': 2, 'updated_at': datetime.datetime(2015, 10, 25, 17, 22, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd8172767-4db6-4951-97f6-d7cffe482d07', 'job_description': 'Robust radical strategy', 'start_date': datetime.datetime(2014, 10, 14, 16, 42, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 8, 17, 16, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 10, 9, 26, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '53cb49da-7111-494a-a285-174b758261c8', 'end_date': datetime.datetime(2014, 6, 30, 18, 39, 48), 'start_time': datetime.datetime(2018, 1, 20, 5, 2, 54), 'rate': 3, 'updated_at': datetime.datetime(2017, 2, 23, 12, 18, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Belgium', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c0936a5a-e277-40ee-87bb-d93c955e38c4', 'job_description': 'Optimized heuristic service-desk', 'start_date': datetime.datetime(2011, 3, 16, 16, 15, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 18, 21, 0, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 23, 11, 14, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0ef6d934-0016-4887-b83d-ef67287294c8', 'end_date': datetime.datetime(2012, 2, 17, 8, 46, 45), 'start_time': datetime.datetime(2013, 5, 1, 11, 6), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 11, 11, 25, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9bdb9dca-a2bd-4672-b9b2-73834905bd1a', 'job_description': 'Integrated bandwidth-monitored superstructure', 'start_date': datetime.datetime(2011, 8, 21, 15, 55, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 12, 20, 9, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 18, 4, 17, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '17620860-1ed9-4075-862f-7bdefbe216a9', 'end_date': datetime.datetime(2012, 4, 30, 1, 19, 13), 'start_time': datetime.datetime(2015, 8, 7, 23, 42, 24), 'rate': 1, 'updated_at': datetime.datetime(2010, 8, 11, 10, 16, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2ae05fc9-2e7d-4881-bb31-94837b8e176f', 'job_description': 'Synchronised well-modulated focus group', 'start_date': datetime.datetime(2016, 9, 8, 19, 16, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 5, 15, 27, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 4, 2, 31, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '93c800c6-cfdd-4234-9d22-913c8cd36789', 'end_date': datetime.datetime(2015, 6, 17, 3, 3, 49), 'start_time': datetime.datetime(2013, 2, 16, 6, 3, 58), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 5, 17, 29, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '384fce39-6e4a-4aab-821a-34bf122f60c9', 'job_description': 'Cloned foreground focus group', 'start_date': datetime.datetime(2011, 11, 3, 18, 9, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 10, 23, 59, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 2, 22, 24, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'afe617d9-336d-4bf3-868e-693750fe4054', 'end_date': datetime.datetime(2016, 4, 11, 16, 37, 54), 'start_time': datetime.datetime(2012, 12, 1, 3, 56, 16), 'rate': 5, 'updated_at': datetime.datetime(2010, 11, 30, 9, 9, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9cb295c3-206a-4aeb-98fd-9feb4c2dbcaf', 'job_description': 'Public-key user-facing architecture', 'start_date': datetime.datetime(2018, 3, 30, 11, 38, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 24, 6, 32, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 4, 9, 6, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8b7f1614-591b-4846-831e-b3510bdab4a3', 'end_date': datetime.datetime(2014, 9, 6, 7, 2, 28), 'start_time': datetime.datetime(2011, 10, 18, 5, 6, 20), 'rate': 5, 'updated_at': datetime.datetime(2010, 4, 27, 8, 41, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fbc6f6ec-8d56-44a0-b24d-0beb1991ebdd', 'job_description': 'Up-sized holistic task-force', 'start_date': datetime.datetime(2015, 12, 23, 14, 13, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 20, 22, 55, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 24, 3, 36, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '990e1f45-0bae-41bd-8769-93de6e1b91b5', 'end_date': datetime.datetime(2013, 1, 7, 3, 42, 1), 'start_time': datetime.datetime(2016, 8, 21, 11, 36, 28), 'rate': 3, 'updated_at': datetime.datetime(2016, 3, 3, 7, 10, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd602cddc-6e2a-4d0f-8743-1148a92ca3c3', 'job_description': 'Advanced value-added monitoring', 'start_date': datetime.datetime(2012, 3, 20, 9, 0, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 18, 13, 27, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 16, 8, 12, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '355e119c-4166-416c-94d2-71ac624fad2c', 'end_date': datetime.datetime(2017, 4, 25, 10, 27, 15), 'start_time': datetime.datetime(2015, 7, 21, 19, 40, 54), 'rate': 4, 'updated_at': datetime.datetime(2010, 6, 6, 1, 12, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2f719ffb-2192-442e-b64c-dcc678ba309c', 'job_description': 'Extended human-resource benchmark', 'start_date': datetime.datetime(2013, 5, 11, 22, 32, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 9, 13, 59, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 21, 6, 20, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'af5ab0cf-cc9f-4b48-998f-4fd672ef3690', 'end_date': datetime.datetime(2016, 2, 23, 6, 22, 43), 'start_time': datetime.datetime(2014, 7, 10, 21, 37, 11), 'rate': 4, 'updated_at': datetime.datetime(2019, 7, 11, 10, 25, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Peru', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5eea93cc-f454-49a2-a9c9-b360ab511692', 'job_description': 'Automated bi-directional methodology', 'start_date': datetime.datetime(2015, 10, 7, 11, 44, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 7, 16, 41, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 20, 21, 58, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '01a55bc0-aba0-435c-8b22-57ccb0d5174f', 'end_date': datetime.datetime(2013, 10, 24, 20, 6, 59), 'start_time': datetime.datetime(2019, 10, 25, 8, 0, 53), 'rate': 3, 'updated_at': datetime.datetime(2016, 8, 30, 4, 8, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b4559d63-40d3-4f5a-a0ba-715cbc216d07', 'job_description': 'Ameliorated 3rd generation paradigm', 'start_date': datetime.datetime(2019, 10, 27, 7, 32, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 27, 20, 25, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 30, 14, 22, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '82ec6e43-36ef-42e4-a100-b06a57991037', 'end_date': datetime.datetime(2011, 2, 27, 6, 38, 39), 'start_time': datetime.datetime(2016, 12, 12, 23, 33, 1), 'rate': 5, 'updated_at': datetime.datetime(2013, 11, 14, 9, 48, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0c1249ff-8a0a-4c4b-88bd-64c2c47c6724', 'job_description': 'Operative motivating success', 'start_date': datetime.datetime(2016, 12, 30, 7, 43, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 1, 5, 27, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 29, 5, 5, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '410b5518-7133-4bdc-80c9-73522492bddd', 'end_date': datetime.datetime(2015, 8, 6, 9, 31, 53), 'start_time': datetime.datetime(2013, 8, 31, 17, 53, 56), 'rate': 5, 'updated_at': datetime.datetime(2014, 9, 26, 2, 11, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Isle of Man', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c92fe35f-54f1-424b-9df8-6151eadb8bbf', 'job_description': 'Implemented optimizing contingency', 'start_date': datetime.datetime(2019, 2, 8, 19, 2, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 5, 6, 23, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 17, 23, 39, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aa299069-3df3-4316-9355-62162529b85a', 'end_date': datetime.datetime(2011, 7, 30, 8, 59, 57), 'start_time': datetime.datetime(2010, 1, 14, 9, 46, 15), 'rate': 1, 'updated_at': datetime.datetime(2018, 2, 2, 12, 6, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Tuvalu', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b0246f4c-db73-41c2-85dc-5c1f7c3cd3fb', 'job_description': 'Public-key secondary knowledge user', 'start_date': datetime.datetime(2016, 6, 3, 7, 14, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 19, 2, 17, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 3, 10, 31, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '518a85d9-936e-4c94-be68-313382b8708e', 'end_date': datetime.datetime(2012, 12, 11, 10, 12, 38), 'start_time': datetime.datetime(2019, 11, 26, 11, 1, 14), 'rate': 2, 'updated_at': datetime.datetime(2012, 3, 26, 2, 32, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0fd9f657-35f4-48c7-ac63-7caf2b76c34d', 'job_description': 'Mandatory local superstructure', 'start_date': datetime.datetime(2017, 8, 4, 7, 27, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 15, 5, 32, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 16, 7, 11, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cd679347-f868-43dd-ad14-e96c8ee4c207', 'end_date': datetime.datetime(2017, 8, 9, 3, 35, 23), 'start_time': datetime.datetime(2014, 8, 26, 11, 4, 10), 'rate': 5, 'updated_at': datetime.datetime(2010, 8, 20, 10, 0, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4878e64c-462f-4554-a0af-00b1d3722f33', 'job_description': 'Self-enabling bi-directional open system', 'start_date': datetime.datetime(2014, 12, 20, 11, 39, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 2, 17, 4, 51, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 12, 15, 3, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf355980-cb8f-4ac3-a0bf-fdd3b23c4f7b', 'end_date': datetime.datetime(2015, 7, 3, 13, 4, 43), 'start_time': datetime.datetime(2018, 7, 16, 7, 33, 21), 'rate': 1, 'updated_at': datetime.datetime(2017, 3, 27, 6, 47, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Ecuador', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '33464ce5-81c6-4caa-a1bd-2ef2d22c1676', 'job_description': 'Reduced methodical conglomeration', 'start_date': datetime.datetime(2017, 9, 13, 20, 8, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 13, 2, 8, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 4, 16, 15, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b97710a7-db56-4341-afb7-dfb1be635477', 'end_date': datetime.datetime(2014, 10, 30, 6, 34, 54), 'start_time': datetime.datetime(2014, 10, 22, 9, 6, 19), 'rate': 3, 'updated_at': datetime.datetime(2010, 2, 25, 22, 13, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Vietnam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6b0aef1c-7bae-4ef8-bc1e-352036b5f6c8', 'job_description': 'Realigned exuding artificial intelligence', 'start_date': datetime.datetime(2012, 7, 30, 10, 0, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 25, 0, 18, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 5, 10, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '74cb05c7-8687-4612-9805-c80a80a7a233', 'end_date': datetime.datetime(2016, 6, 16, 20, 38, 5), 'start_time': datetime.datetime(2012, 8, 12, 21, 7, 53), 'rate': 3, 'updated_at': datetime.datetime(2014, 4, 20, 2, 11, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': '1fa9dd09-6da4-4e8b-9d51-abb9a70a26e7', 'job_description': 'Robust non-volatile productivity', 'start_date': datetime.datetime(2010, 7, 24, 9, 38, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 5, 3, 7, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 22, 15, 2, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '00920e19-5ffc-4a32-92ab-9c5bd3ca51bc', 'end_date': datetime.datetime(2011, 11, 4, 23, 32, 5), 'start_time': datetime.datetime(2010, 7, 27, 1, 4, 38), 'rate': 2, 'updated_at': datetime.datetime(2012, 9, 27, 6, 59, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
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{'_id': 'a6d99051-cf11-498d-a4f3-1438c7f849c4', 'job_description': 'Polarised logistical moratorium', 'start_date': datetime.datetime(2016, 4, 14, 23, 3, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 7, 0, 24, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 4, 17, 7, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '40c1dda8-061b-4f7e-a0a9-252f26241f29', 'end_date': datetime.datetime(2016, 7, 11, 23, 18, 24), 'start_time': datetime.datetime(2013, 7, 24, 0, 12, 3), 'rate': 3, 'updated_at': datetime.datetime(2010, 1, 22, 23, 11, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': '9e85435f-f72b-4843-969f-686235c73780', 'job_description': 'Cross-platform fresh-thinking archive', 'start_date': datetime.datetime(2012, 12, 28, 22, 43, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 6, 0, 30, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 10, 15, 31, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fa342b5b-a8af-4249-a758-351bae64924f', 'end_date': datetime.datetime(2019, 10, 30, 1, 35, 56), 'start_time': datetime.datetime(2012, 5, 24, 4, 4, 19), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 3, 21, 46, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
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{'_id': 'df14a65e-f2e3-4d4f-9442-9b2aaceedf07', 'job_description': 'Implemented bandwidth-monitored info-mediaries', 'start_date': datetime.datetime(2016, 4, 21, 10, 42, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 6, 17, 36, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 22, 20, 50, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '232b9099-6ade-44f8-a911-33c228b83dd7', 'end_date': datetime.datetime(2011, 6, 6, 4, 37, 30), 'start_time': datetime.datetime(2015, 11, 2, 22, 12, 25), 'rate': 4, 'updated_at': datetime.datetime(2017, 9, 23, 17, 36, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Nepal', 'special_note': 'thanks'}
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{'_id': '7008d545-5be0-42b8-9906-b5a22a65b3a9', 'job_description': 'Progressive motivating Graphic Interface', 'start_date': datetime.datetime(2017, 4, 21, 13, 4, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 26, 16, 5, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 20, 13, 50, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd56e5789-f57c-4a07-a0ab-55e46962c75a', 'end_date': datetime.datetime(2018, 12, 25, 19, 10, 2), 'start_time': datetime.datetime(2019, 5, 29, 4, 4, 43), 'rate': 5, 'updated_at': datetime.datetime(2012, 2, 14, 1, 33, 25), 'job_title': 'CoffeeMaker', 'service_id': 'New Caledonia', 'special_note': 'thanks'}
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{'_id': '1c231c34-4e31-4574-915c-ad8d5295cc66', 'job_description': 'Secured maximized help-desk', 'start_date': datetime.datetime(2011, 9, 25, 16, 13, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 11, 5, 56, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 24, 20, 24, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a37c799a-0197-43b4-a71c-01dea5b87eab', 'end_date': datetime.datetime(2014, 5, 1, 6, 5, 29), 'start_time': datetime.datetime(2016, 3, 18, 13, 4, 22), 'rate': 5, 'updated_at': datetime.datetime(2019, 4, 4, 17, 1, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
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{'_id': '20bf4180-bac1-4a3e-8a02-64c6d437e20a', 'job_description': 'Compatible directional toolset', 'start_date': datetime.datetime(2016, 7, 1, 5, 18, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 14, 13, 13, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 13, 23, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f49f264a-f773-4c35-8ca0-d75676846b72', 'end_date': datetime.datetime(2018, 8, 1, 9, 29, 43), 'start_time': datetime.datetime(2013, 1, 28, 9, 56, 34), 'rate': 1, 'updated_at': datetime.datetime(2014, 5, 23, 13, 26, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Puerto Rico', 'special_note': 'thanks'}
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{'_id': '263b3068-b9e7-4990-8d42-955c0cb8f6a7', 'job_description': 'Open-source high-level installation', 'start_date': datetime.datetime(2011, 5, 9, 17, 48, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 19, 3, 22, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 14, 6, 59, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9bb37928-9163-4c44-842a-0016fcfc1724', 'end_date': datetime.datetime(2016, 7, 19, 3, 26, 46), 'start_time': datetime.datetime(2014, 1, 28, 23, 39, 31), 'rate': 2, 'updated_at': datetime.datetime(2018, 9, 10, 19, 45, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': '5146d284-10ba-4ce9-951e-6fb42e4eb046', 'job_description': 'Future-proofed tangible knowledge user', 'start_date': datetime.datetime(2010, 6, 22, 5, 31, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 14, 22, 47, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 15, 18, 48, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f1ab53f2-78a1-42c4-a2f1-ae77358c50f5', 'end_date': datetime.datetime(2015, 6, 24, 21, 12, 33), 'start_time': datetime.datetime(2011, 6, 19, 14, 48, 16), 'rate': 1, 'updated_at': datetime.datetime(2013, 2, 18, 12, 2, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
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{'_id': '8ae85663-714f-474f-a1a3-69cc4e70ba9a', 'job_description': 'Operative heuristic synergy', 'start_date': datetime.datetime(2014, 6, 3, 18, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 27, 10, 25, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 26, 3, 40, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bcf3e097-dd48-4532-87fd-1dd8b196af33', 'end_date': datetime.datetime(2013, 9, 23, 12, 40, 39), 'start_time': datetime.datetime(2014, 10, 17, 20, 16, 30), 'rate': 3, 'updated_at': datetime.datetime(2015, 1, 11, 2, 58, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': '5cb5d219-7441-4911-9eee-47771fecaa01', 'job_description': 'Vision-oriented impactful leverage', 'start_date': datetime.datetime(2016, 5, 14, 7, 44, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 27, 23, 57, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 24, 8, 1, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f85d2138-6e35-4c1c-ad76-48d17ea2a633', 'end_date': datetime.datetime(2012, 7, 2, 17, 12, 21), 'start_time': datetime.datetime(2013, 4, 4, 20, 43, 20), 'rate': 3, 'updated_at': datetime.datetime(2016, 6, 16, 7, 14, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
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{'_id': 'bdeaba9a-e8fd-4dcd-9425-382addd8fc96', 'job_description': 'Phased leading edge info-mediaries', 'start_date': datetime.datetime(2017, 10, 29, 20, 40, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 11, 11, 11, 43, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 29, 12, 3, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc42b187-3977-4b11-ba19-f286d1b6f734', 'end_date': datetime.datetime(2017, 6, 6, 3, 11, 11), 'start_time': datetime.datetime(2015, 5, 13, 6, 28, 14), 'rate': 4, 'updated_at': datetime.datetime(2018, 8, 3, 16, 11, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
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{'_id': 'e3c6599d-6dd0-49b0-9374-bd5097f55699', 'job_description': 'Pre-emptive impactful workforce', 'start_date': datetime.datetime(2017, 8, 23, 8, 26, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 16, 23, 18, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 9, 19, 59, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3b16c7ce-12f4-4a5f-8cf2-9c39cd65e28b', 'end_date': datetime.datetime(2018, 4, 26, 15, 33, 49), 'start_time': datetime.datetime(2018, 6, 4, 1, 43, 24), 'rate': 4, 'updated_at': datetime.datetime(2010, 7, 18, 18, 15, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': 'e7ce9516-c9a3-49c4-baaa-197bc075b150', 'job_description': 'Proactive discrete benchmark', 'start_date': datetime.datetime(2013, 6, 21, 20, 59, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 31, 10, 26, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 3, 13, 45, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9e2f5c4-78a8-49da-b4d1-43761edb1392', 'end_date': datetime.datetime(2019, 5, 8, 10, 51, 45), 'start_time': datetime.datetime(2016, 1, 27, 9, 55, 9), 'rate': 4, 'updated_at': datetime.datetime(2014, 8, 12, 0, 10, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': 'baa4831d-6cba-4f56-9c5a-aadae392acde', 'job_description': 'Object-based holistic collaboration', 'start_date': datetime.datetime(2018, 2, 10, 9, 22, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 22, 11, 27, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 17, 8, 50, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2130f889-139b-482e-bb94-d35c93fd072c', 'end_date': datetime.datetime(2018, 4, 6, 14, 23, 23), 'start_time': datetime.datetime(2017, 7, 20, 20, 44, 55), 'rate': 4, 'updated_at': datetime.datetime(2014, 11, 5, 15, 32, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
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{'_id': '74498dc1-d11b-473f-8480-62df9feff7df', 'job_description': 'Compatible 24/7 adapter', 'start_date': datetime.datetime(2016, 8, 31, 0, 6, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 4, 14, 8, 29, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 10, 17, 57, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd0a9c0e1-00d6-428e-ad02-c2cd5f11a1e7', 'end_date': datetime.datetime(2014, 4, 26, 14, 22, 8), 'start_time': datetime.datetime(2012, 8, 5, 19, 48, 26), 'rate': 1, 'updated_at': datetime.datetime(2011, 12, 14, 2, 0, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
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{'_id': 'c60aa228-3485-4f5e-b6dd-6a32d0e56faf', 'job_description': 'Re-engineered interactive matrix', 'start_date': datetime.datetime(2010, 6, 27, 1, 35, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 21, 10, 58, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 2, 18, 17, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cbd7aea2-2f5d-4954-99b3-9e774012f84c', 'end_date': datetime.datetime(2010, 11, 7, 16, 8, 9), 'start_time': datetime.datetime(2012, 3, 13, 10, 54, 51), 'rate': 1, 'updated_at': datetime.datetime(2018, 6, 9, 14, 50, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
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{'_id': '0403fcd5-6170-451e-8a8b-928a0bcb5a09', 'job_description': 'Advanced system-worthy firmware', 'start_date': datetime.datetime(2016, 10, 23, 23, 14, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 2, 22, 50, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 28, 20, 38, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd1538759-5387-46ba-bed5-0830985ab4ce', 'end_date': datetime.datetime(2018, 9, 5, 1, 18, 21), 'start_time': datetime.datetime(2016, 6, 4, 15, 28, 1), 'rate': 4, 'updated_at': datetime.datetime(2018, 2, 12, 7, 29, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
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{'_id': '1d6c0665-d616-4bd0-86bd-6239d79b9ed3', 'job_description': 'Synergistic foreground implementation', 'start_date': datetime.datetime(2019, 2, 7, 6, 3, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 28, 10, 0, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 16, 19, 50, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea12d6e3-cf54-4d14-8e52-668870623f7d', 'end_date': datetime.datetime(2013, 12, 21, 13, 7, 38), 'start_time': datetime.datetime(2018, 12, 15, 14, 27, 25), 'rate': 5, 'updated_at': datetime.datetime(2011, 7, 14, 14, 12, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
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<class 'dict'>
{'_id': 'ed2b278b-0f7c-48b8-a706-efe1b0bbae3f', 'job_description': 'Enterprise-wide responsive orchestration', 'start_date': datetime.datetime(2015, 9, 12, 4, 48, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 6, 20, 35, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 24, 16, 11, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b23bf6e1-60e9-4c9f-9224-c2bab1e8f3d6', 'end_date': datetime.datetime(2012, 10, 31, 12, 10, 34), 'start_time': datetime.datetime(2015, 4, 29, 19, 45, 47), 'rate': 1, 'updated_at': datetime.datetime(2016, 8, 18, 19, 47, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5a2517a5-dc4f-4a3e-bd56-5e7eb640a3b6', 'job_description': 'Multi-layered context-sensitive policy', 'start_date': datetime.datetime(2014, 3, 7, 12, 43, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 17, 3, 16, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 11, 16, 5, 52, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dc8acd0c-8186-4747-8103-d5a7e222dd4e', 'end_date': datetime.datetime(2011, 7, 7, 21, 36, 23), 'start_time': datetime.datetime(2015, 6, 23, 17, 17, 31), 'rate': 1, 'updated_at': datetime.datetime(2012, 1, 12, 7, 53, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
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{'_id': 'f6f7c799-d46a-4b76-8502-f97f94233193', 'job_description': 'Managed object-oriented firmware', 'start_date': datetime.datetime(2019, 3, 27, 17, 26, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 31, 11, 21, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 12, 4, 52, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f793ec0c-de77-4a77-bf48-f0eacaa9fca8', 'end_date': datetime.datetime(2019, 7, 11, 17, 25, 18), 'start_time': datetime.datetime(2017, 12, 30, 13, 45, 32), 'rate': 1, 'updated_at': datetime.datetime(2014, 7, 18, 5, 21, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Australia', 'special_note': 'thanks'}
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{'_id': 'd6a7d947-de50-485c-9372-0a5269d44b52', 'job_description': 'Focused mobile moratorium', 'start_date': datetime.datetime(2012, 1, 3, 4, 19, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 8, 6, 57, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 3, 17, 3, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e4c20e54-544e-459b-b173-fc6e73f7d569', 'end_date': datetime.datetime(2014, 1, 13, 15, 32, 48), 'start_time': datetime.datetime(2014, 1, 16, 21, 41, 7), 'rate': 5, 'updated_at': datetime.datetime(2014, 7, 6, 7, 42, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0ecf26bb-cefc-46c2-8a37-7f492c42ca85', 'job_description': 'User-centric multi-state open system', 'start_date': datetime.datetime(2014, 5, 9, 15, 11, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 20, 11, 30, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 19, 13, 49, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a7a9417-8009-455e-a58d-74def1c80570', 'end_date': datetime.datetime(2014, 11, 5, 0, 56, 12), 'start_time': datetime.datetime(2011, 4, 2, 0, 14, 46), 'rate': 5, 'updated_at': datetime.datetime(2014, 4, 27, 9, 40, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8bf23a8c-bca0-4d86-b36c-e923903c2e72', 'job_description': 'Cloned interactive collaboration', 'start_date': datetime.datetime(2017, 6, 11, 16, 9, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 5, 13, 20, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 12, 21, 40, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bd7c467b-f5ea-4822-ab22-45b98bbfd972', 'end_date': datetime.datetime(2016, 4, 19, 5, 25, 58), 'start_time': datetime.datetime(2017, 10, 1, 19, 21, 30), 'rate': 1, 'updated_at': datetime.datetime(2010, 7, 7, 6, 49, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd2c0cd47-a3ee-4c0b-9c2b-0fd1d176fb7d', 'job_description': 'Multi-lateral discrete knowledge base', 'start_date': datetime.datetime(2012, 8, 7, 3, 13, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 5, 6, 48, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 15, 8, 47, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cea80a7c-4bd4-434b-bcf5-207714ebaa82', 'end_date': datetime.datetime(2018, 10, 5, 18, 42, 38), 'start_time': datetime.datetime(2019, 10, 23, 6, 22, 16), 'rate': 3, 'updated_at': datetime.datetime(2016, 11, 3, 5, 1, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '351d69dc-34db-4618-b7d1-613b976f28d0', 'job_description': 'Automated next generation moratorium', 'start_date': datetime.datetime(2017, 5, 20, 3, 44, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 5, 13, 4, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 2, 9, 34, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '47b854f4-be2a-4006-95af-7612e76afd17', 'end_date': datetime.datetime(2017, 9, 15, 0, 31, 39), 'start_time': datetime.datetime(2013, 7, 5, 12, 32), 'rate': 2, 'updated_at': datetime.datetime(2019, 4, 11, 21, 34, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Azerbaijan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c01ca995-d6ce-46df-9379-257eb3480ac9', 'job_description': 'Devolved interactive policy', 'start_date': datetime.datetime(2014, 12, 31, 2, 11, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 26, 5, 14, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 7, 11, 46, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e31630d-dfbb-4284-9bd0-c00ca5e32138', 'end_date': datetime.datetime(2015, 1, 29, 6, 47, 51), 'start_time': datetime.datetime(2018, 12, 30, 3, 13, 17), 'rate': 1, 'updated_at': datetime.datetime(2010, 12, 6, 2, 41, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de681ef3-44cb-40ac-8c72-79123211932a', 'job_description': 'Ameliorated bifurcated data-warehouse', 'start_date': datetime.datetime(2015, 6, 28, 17, 16, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 16, 3, 56, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 8, 21, 21, 35, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9cee6cae-f350-42f3-9cd1-60ad228545a8', 'end_date': datetime.datetime(2017, 6, 6, 4, 41, 9), 'start_time': datetime.datetime(2011, 12, 25, 12, 58, 14), 'rate': 3, 'updated_at': datetime.datetime(2010, 12, 23, 12, 27, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '48ac0ee9-2aa3-43a6-8f26-5db5131179ac', 'job_description': 'Decentralized reciprocal matrix', 'start_date': datetime.datetime(2016, 10, 29, 15, 30, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 28, 21, 6, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 15, 4, 44, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b7a6f87a-c754-4113-bf18-6083a9206a96', 'end_date': datetime.datetime(2012, 3, 24, 2, 22, 13), 'start_time': datetime.datetime(2010, 7, 18, 21, 45, 26), 'rate': 1, 'updated_at': datetime.datetime(2012, 10, 6, 14, 53, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9dd660d4-1ce4-434c-bfcc-05c385b90b30', 'job_description': 'Digitized modular attitude', 'start_date': datetime.datetime(2014, 9, 23, 3, 8, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 23, 0, 53, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 20, 18, 27, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1548b2e3-7d44-4737-9796-cd4a7c3b9983', 'end_date': datetime.datetime(2019, 1, 26, 23, 50, 5), 'start_time': datetime.datetime(2017, 3, 15, 18, 32, 11), 'rate': 3, 'updated_at': datetime.datetime(2010, 2, 10, 20, 46, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '246ebc45-fc5d-478e-8617-97f81580d7fc', 'job_description': 'Proactive web-enabled pricing structure', 'start_date': datetime.datetime(2017, 1, 16, 12, 52, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 8, 17, 35, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 28, 16, 31, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e44a7fdc-3f18-4cb1-a902-b152195e6fb6', 'end_date': datetime.datetime(2015, 1, 8, 19, 55, 30), 'start_time': datetime.datetime(2014, 1, 11, 2, 29, 57), 'rate': 1, 'updated_at': datetime.datetime(2019, 4, 3, 9, 57, 23), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0e2dc970-051d-4af2-9b68-6ae7e6f762b7', 'job_description': 'Business-focused tertiary superstructure', 'start_date': datetime.datetime(2018, 9, 1, 21, 19, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 9, 19, 20, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 27, 8, 50, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e824c986-c812-4052-9c85-085494a4870b', 'end_date': datetime.datetime(2011, 1, 1, 1, 15, 57), 'start_time': datetime.datetime(2013, 7, 31, 2, 30, 19), 'rate': 1, 'updated_at': datetime.datetime(2010, 11, 10, 16, 13, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Qatar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b7f99ecc-dffd-4e8c-9d96-cc584a4d30e7', 'job_description': 'User-centric eco-centric local area network', 'start_date': datetime.datetime(2019, 9, 18, 3, 14, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 2, 20, 18, 14, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 21, 7, 33, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '50532d37-d227-4dd8-8bde-4b978acd5e72', 'end_date': datetime.datetime(2010, 11, 1, 12, 10, 40), 'start_time': datetime.datetime(2019, 4, 9, 20, 1, 7), 'rate': 3, 'updated_at': datetime.datetime(2019, 4, 26, 19, 40, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '52f794e2-b46b-4589-83c3-c4b77b9ffbb4', 'job_description': 'Re-engineered multi-state database', 'start_date': datetime.datetime(2012, 8, 10, 5, 0, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 18, 18, 14, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 11, 19, 20, 44, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb80172f-6102-46e5-b2c8-30297bf4a8fa', 'end_date': datetime.datetime(2018, 12, 5, 7, 45, 54), 'start_time': datetime.datetime(2015, 10, 11, 7, 48, 42), 'rate': 4, 'updated_at': datetime.datetime(2011, 4, 23, 19, 30, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'eb10d1a1-7eb5-4457-a0e8-c874efa0b268', 'job_description': 'Quality-focused scalable circuit', 'start_date': datetime.datetime(2016, 11, 15, 5, 41, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 11, 16, 4, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 2, 22, 27, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1a5c65cf-a173-4971-9c6e-cbe15ff7ee9a', 'end_date': datetime.datetime(2013, 12, 3, 16, 38, 7), 'start_time': datetime.datetime(2018, 1, 7, 0, 13, 46), 'rate': 5, 'updated_at': datetime.datetime(2018, 12, 16, 7, 17, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd3184793-6e01-4938-b835-a253bcfd3f9c', 'job_description': 'Horizontal multi-tasking software', 'start_date': datetime.datetime(2013, 6, 3, 5, 47, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 12, 8, 14, 5, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 31, 12, 9, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f01f76a3-ecde-441f-87d8-88db6f8a4c44', 'end_date': datetime.datetime(2015, 9, 17, 12, 10, 52), 'start_time': datetime.datetime(2012, 12, 26, 3, 2, 3), 'rate': 3, 'updated_at': datetime.datetime(2014, 12, 14, 9, 59, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Latvia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cb324d60-ffd2-483f-9f67-dc68e6aea642', 'job_description': 'Cross-platform holistic attitude', 'start_date': datetime.datetime(2013, 5, 21, 11, 21, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 6, 12, 16, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 19, 20, 57, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8ba9ea41-103b-4598-9f0f-5da12b9b866f', 'end_date': datetime.datetime(2014, 6, 22, 16, 47, 56), 'start_time': datetime.datetime(2018, 4, 10, 1, 54, 37), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 7, 1, 54, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '231454dd-8a45-4ad2-81d9-42797c6593be', 'job_description': 'Robust neutral productivity', 'start_date': datetime.datetime(2012, 11, 15, 1, 7, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 20, 13, 14, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 6, 19, 39, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ba724e82-6429-4eb3-96a8-8d70dcea1b10', 'end_date': datetime.datetime(2017, 3, 7, 2, 10, 35), 'start_time': datetime.datetime(2014, 7, 1, 23, 48, 15), 'rate': 3, 'updated_at': datetime.datetime(2012, 8, 10, 20, 18, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '252419b0-1b3e-4017-8640-c6f4ffce7f4d', 'job_description': 'Robust maximized extranet', 'start_date': datetime.datetime(2014, 9, 5, 23, 15, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 7, 4, 15, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 17, 22, 49, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0a28c608-f65e-4bec-9de7-12f74022527a', 'end_date': datetime.datetime(2019, 5, 19, 16, 32, 1), 'start_time': datetime.datetime(2018, 6, 22, 11, 5, 15), 'rate': 2, 'updated_at': datetime.datetime(2010, 12, 9, 20, 59, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8ff68897-0f7a-4de0-b18f-17acb9b1c25d', 'job_description': 'Future-proofed actuating methodology', 'start_date': datetime.datetime(2016, 8, 25, 19, 58, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 11, 4, 9, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 5, 5, 43, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd2939e51-e133-45f6-a652-b19c0518454b', 'end_date': datetime.datetime(2018, 9, 2, 2, 49, 13), 'start_time': datetime.datetime(2014, 8, 6, 19, 6, 53), 'rate': 3, 'updated_at': datetime.datetime(2014, 11, 25, 22, 1, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '92bac0a6-953a-4e08-a7e0-1807d23c2754', 'job_description': 'Switchable scalable data-warehouse', 'start_date': datetime.datetime(2010, 7, 14, 22, 57, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 31, 23, 51, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 24, 8, 40, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e34b05c9-ebda-4a53-83d1-f68a4a76603a', 'end_date': datetime.datetime(2018, 8, 18, 4, 54, 1), 'start_time': datetime.datetime(2010, 7, 24, 12, 16, 1), 'rate': 4, 'updated_at': datetime.datetime(2012, 11, 29, 15, 8, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Japan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '908a9118-a622-4651-923e-dfb90f3e6f0b', 'job_description': 'Polarised zero administration definition', 'start_date': datetime.datetime(2018, 4, 21, 9, 14, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 6, 7, 24, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 9, 10, 2, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd053b178-fd55-4337-8134-efab71eed0d6', 'end_date': datetime.datetime(2011, 12, 17, 12, 53, 36), 'start_time': datetime.datetime(2015, 8, 11, 19, 39, 2), 'rate': 1, 'updated_at': datetime.datetime(2012, 11, 17, 9, 58, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Brunei Darussalam', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de61e65f-f23a-4dd4-9433-0b0df1ff6e45', 'job_description': 'Object-based heuristic superstructure', 'start_date': datetime.datetime(2015, 7, 5, 16, 39, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 6, 7, 25, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 19, 7, 9, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '780b85c7-02be-4bee-b5a4-2b16ecb8521a', 'end_date': datetime.datetime(2017, 8, 6, 20, 46, 17), 'start_time': datetime.datetime(2013, 8, 10, 20, 21, 28), 'rate': 2, 'updated_at': datetime.datetime(2016, 12, 26, 2, 48, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3656a14c-a9bf-4d73-99c0-2ea025a9ce76', 'job_description': 'Multi-layered fault-tolerant benchmark', 'start_date': datetime.datetime(2015, 7, 20, 8, 13, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 8, 14, 9, 11, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 2, 17, 21, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7de15092-3fd1-4482-b235-db3a61cfe774', 'end_date': datetime.datetime(2018, 12, 30, 5, 22, 59), 'start_time': datetime.datetime(2017, 6, 24, 14, 27, 11), 'rate': 5, 'updated_at': datetime.datetime(2010, 7, 23, 15, 53, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '53c6f2d2-11c9-4381-a0db-38351709f9ac', 'job_description': 'Managed motivating solution', 'start_date': datetime.datetime(2014, 2, 2, 6, 23, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 17, 20, 20, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 25, 17, 17, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '474b3cae-a3bd-4140-8a50-078d3acf6875', 'end_date': datetime.datetime(2014, 7, 16, 16, 46, 43), 'start_time': datetime.datetime(2019, 2, 26, 2, 52), 'rate': 2, 'updated_at': datetime.datetime(2011, 1, 6, 12, 7, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
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{'_id': 'be881a30-420a-4f95-b458-ab8fccbf69f9', 'job_description': 'Profound systematic internet solution', 'start_date': datetime.datetime(2013, 4, 18, 21, 59, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 1, 19, 4, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 8, 14, 42, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a42e8996-aee8-4fe7-827c-6dd97d915cea', 'end_date': datetime.datetime(2016, 10, 28, 22, 30, 58), 'start_time': datetime.datetime(2016, 5, 23, 19, 49, 29), 'rate': 2, 'updated_at': datetime.datetime(2018, 6, 11, 8, 47, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
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{'_id': 'ddffc7bc-283e-4bea-a190-947b6ab118c5', 'job_description': 'Integrated motivating forecast', 'start_date': datetime.datetime(2011, 6, 2, 9, 57, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 4, 4, 4, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 25, 15, 17, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '476e639b-564b-4d16-b87f-7318da4ae50b', 'end_date': datetime.datetime(2010, 4, 4, 12, 58, 25), 'start_time': datetime.datetime(2019, 6, 22, 19, 7, 18), 'rate': 2, 'updated_at': datetime.datetime(2017, 7, 27, 6, 38, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Indonesia', 'special_note': 'thanks'}
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{'_id': 'b04f184f-06d9-4573-9174-21c1a5fb840e', 'job_description': 'Centralized bandwidth-monitored focus group', 'start_date': datetime.datetime(2013, 8, 15, 3, 39, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 7, 13, 57, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 20, 3, 20, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0b503bdd-c29c-4f67-b1ee-271cf1542b7a', 'end_date': datetime.datetime(2010, 6, 28, 10, 6, 10), 'start_time': datetime.datetime(2014, 9, 30, 3, 47, 53), 'rate': 2, 'updated_at': datetime.datetime(2010, 10, 26, 6, 58, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Gambia', 'special_note': 'thanks'}
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{'_id': '3ab6c0f5-60c4-4f51-b6a8-49707ac4f10b', 'job_description': 'Grass-roots actuating help-desk', 'start_date': datetime.datetime(2015, 4, 27, 14, 41, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 11, 16, 46, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 20, 6, 37, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd764d820-d3f3-4f39-82a4-7a7caeae4ccc', 'end_date': datetime.datetime(2015, 3, 1, 7, 56, 5), 'start_time': datetime.datetime(2015, 12, 29, 16, 33, 20), 'rate': 5, 'updated_at': datetime.datetime(2019, 6, 12, 15, 56, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1d80813d-b7f0-43fd-80a9-cf63a1e83cef', 'job_description': 'Self-enabling next generation groupware', 'start_date': datetime.datetime(2017, 8, 12, 11, 35, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 2, 21, 11, 38, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 20, 4, 3, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3c08b721-9ba1-488a-90ba-7ec0a9310afb', 'end_date': datetime.datetime(2014, 12, 23, 6, 0, 13), 'start_time': datetime.datetime(2013, 5, 16, 20, 27, 48), 'rate': 2, 'updated_at': datetime.datetime(2016, 11, 16, 21, 15, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': 'fd494563-2eb7-4861-a8d0-0f17016d192b', 'job_description': 'Synergistic intangible toolset', 'start_date': datetime.datetime(2014, 8, 18, 14, 51, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 5, 21, 36, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 3, 2, 25, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eedbf936-0896-402b-9d4c-394d69e35e8c', 'end_date': datetime.datetime(2012, 6, 17, 22, 44, 42), 'start_time': datetime.datetime(2016, 10, 6, 12, 33, 46), 'rate': 3, 'updated_at': datetime.datetime(2010, 7, 29, 21, 51, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
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{'_id': '52e0f433-c0b9-46b6-a7f7-d4549eae8320', 'job_description': 'Phased 24/7 knowledge user', 'start_date': datetime.datetime(2010, 7, 29, 11, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 15, 19, 22, 2), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 7, 18, 31, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2e137fd6-fbc7-4e4d-98b4-2a3e2f445c17', 'end_date': datetime.datetime(2014, 5, 7, 13, 46, 35), 'start_time': datetime.datetime(2016, 6, 29, 3, 17, 45), 'rate': 1, 'updated_at': datetime.datetime(2017, 7, 20, 21, 43, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
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{'_id': 'da6d62b1-7479-472c-8d53-8a6c92429b58', 'job_description': 'Synchronised motivating customer loyalty', 'start_date': datetime.datetime(2016, 11, 30, 10, 30, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 5, 17, 5, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 4, 16, 17, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4e3fac3a-63bb-4290-b93a-8a01a0408e06', 'end_date': datetime.datetime(2011, 6, 13, 0, 17, 8), 'start_time': datetime.datetime(2017, 10, 14, 14, 47, 38), 'rate': 1, 'updated_at': datetime.datetime(2014, 11, 19, 15, 2, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': 'b15a8d58-bcf1-41a3-b5e4-bb82cf999574', 'job_description': 'Optional client-server throughput', 'start_date': datetime.datetime(2019, 4, 14, 22, 24, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 28, 13, 52, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 28, 1, 26, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2b1c2358-0454-484e-8ad5-69f1e9eaa66e', 'end_date': datetime.datetime(2017, 2, 28, 4, 59, 55), 'start_time': datetime.datetime(2016, 9, 9, 19, 33, 8), 'rate': 5, 'updated_at': datetime.datetime(2013, 7, 27, 23, 58, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Martin', 'special_note': 'thanks'}
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{'_id': 'b01b089d-0240-4b9e-9df9-42f75dc1b6d8', 'job_description': 'Implemented executive application', 'start_date': datetime.datetime(2010, 10, 15, 6, 1, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 8, 22, 28, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 13, 11, 46, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6f16513a-71e2-4a55-9a4b-135448542243', 'end_date': datetime.datetime(2011, 4, 30, 10, 50, 17), 'start_time': datetime.datetime(2014, 11, 14, 5, 22, 14), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 19, 6, 19, 31), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
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{'_id': '5bd3f48c-c4aa-4e6b-b0f7-a32c283a4741', 'job_description': 'Open-architected well-modulated support', 'start_date': datetime.datetime(2012, 1, 19, 23, 14, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 19, 14, 16, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 4, 17, 28, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ec15c338-faf5-4f0e-aeed-6969c9abfd94', 'end_date': datetime.datetime(2018, 9, 2, 3, 10, 15), 'start_time': datetime.datetime(2012, 5, 12, 20, 4, 13), 'rate': 5, 'updated_at': datetime.datetime(2019, 6, 30, 14, 24, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
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{'_id': '69127fc6-716b-468d-9e5c-72a46e7099e1', 'job_description': 'Secured zero defect approach', 'start_date': datetime.datetime(2017, 10, 7, 21, 4, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 19, 9, 4, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 5, 9, 24, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b974ef53-d663-4302-ae6a-96fee23a51d8', 'end_date': datetime.datetime(2012, 4, 14, 5, 11, 54), 'start_time': datetime.datetime(2011, 11, 18, 2, 56, 51), 'rate': 5, 'updated_at': datetime.datetime(2017, 4, 17, 16, 34, 9), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
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{'_id': 'd6726260-396c-4e10-bbb5-5ec3031cad56', 'job_description': 'Synchronised bifurcated throughput', 'start_date': datetime.datetime(2018, 1, 5, 20, 22, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 28, 21, 11, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 10, 15, 5, 7, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1870d75e-6ec6-4082-9c83-7eb593797de0', 'end_date': datetime.datetime(2012, 3, 7, 3, 33, 4), 'start_time': datetime.datetime(2011, 1, 30, 1, 38, 16), 'rate': 5, 'updated_at': datetime.datetime(2015, 12, 2, 16, 11, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Andorra', 'special_note': 'thanks'}
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{'_id': 'c70d812f-5708-476c-bf48-08bbda3c686e', 'job_description': 'Ergonomic explicit interface', 'start_date': datetime.datetime(2016, 10, 7, 17, 58, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 20, 3, 23, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 4, 11, 12, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f64d5269-2d6d-42db-b267-c86dd674e770', 'end_date': datetime.datetime(2017, 5, 4, 9, 29), 'start_time': datetime.datetime(2012, 12, 19, 1, 52, 45), 'rate': 4, 'updated_at': datetime.datetime(2015, 1, 9, 18, 58, 57), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'aa3e6967-70a2-4b4b-b5e6-db2e7aef1117', 'job_description': 'Right-sized bi-directional customer loyalty', 'start_date': datetime.datetime(2019, 9, 17, 2, 13, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 20, 7, 26, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 12, 11, 9, 59, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8c9947d6-db81-4be1-9f3b-f2ceb583b90f', 'end_date': datetime.datetime(2019, 4, 22, 11, 53, 39), 'start_time': datetime.datetime(2017, 1, 20, 22, 42, 26), 'rate': 4, 'updated_at': datetime.datetime(2012, 8, 3, 15, 39, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Chile', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7f64056a-f50f-434d-a81f-8b2b52ef1654', 'job_description': 'Ergonomic non-volatile flexibility', 'start_date': datetime.datetime(2017, 1, 15, 20, 7, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 29, 2, 59, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 3, 13, 14, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fb263bb6-9d50-40ed-b278-003221092872', 'end_date': datetime.datetime(2010, 9, 20, 21, 24, 7), 'start_time': datetime.datetime(2013, 10, 15, 10, 13, 34), 'rate': 3, 'updated_at': datetime.datetime(2017, 2, 24, 16, 8, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Cuba', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '05fd5d56-062d-41d2-8103-439033d302d8', 'job_description': 'Up-sized zero tolerance Graphic Interface', 'start_date': datetime.datetime(2011, 12, 20, 2, 47, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 22, 23, 24, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 15, 10, 38, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '02006c6c-8dd4-4c89-9dbe-7fef8657b611', 'end_date': datetime.datetime(2014, 5, 18, 23, 5, 30), 'start_time': datetime.datetime(2010, 9, 17, 23, 31, 5), 'rate': 1, 'updated_at': datetime.datetime(2016, 11, 17, 1, 8, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
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{'_id': '6b460059-c48e-458c-83dd-97af1fce3470', 'job_description': 'Configurable 3rd generation policy', 'start_date': datetime.datetime(2014, 1, 26, 21, 38, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 3, 2, 22, 22, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 22, 1, 40, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '190f2c74-f55b-466a-bdf7-7ff8461a0eaa', 'end_date': datetime.datetime(2017, 9, 9, 0, 9, 15), 'start_time': datetime.datetime(2014, 1, 7, 0, 47, 47), 'rate': 3, 'updated_at': datetime.datetime(2015, 2, 3, 9, 10, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Antigua and Barbuda', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e0f4f61-51bd-4c2c-bc65-d994e9b96cc6', 'job_description': 'Sharable methodical info-mediaries', 'start_date': datetime.datetime(2016, 11, 17, 8, 48, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 14, 9, 23, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 12, 21, 15, 30, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e9b319b7-8b0e-46f5-924a-55be55996a06', 'end_date': datetime.datetime(2013, 4, 3, 6, 56, 18), 'start_time': datetime.datetime(2011, 6, 25, 21, 39, 54), 'rate': 2, 'updated_at': datetime.datetime(2013, 9, 30, 0, 15, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
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{'_id': '39a1fc6f-9b39-452f-bce2-4757cc2135b6', 'job_description': 'Open-architected assymetric moratorium', 'start_date': datetime.datetime(2018, 5, 15, 21, 54, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 26, 18, 7, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 21, 2, 17, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e8b7236-7a9f-4fdd-b4ff-8879e64b3592', 'end_date': datetime.datetime(2016, 9, 18, 15, 19, 53), 'start_time': datetime.datetime(2011, 1, 2, 21, 38, 28), 'rate': 2, 'updated_at': datetime.datetime(2014, 9, 21, 6, 24, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5983b535-a1a4-4e0b-b9d6-128a48de1301', 'job_description': 'Right-sized composite benchmark', 'start_date': datetime.datetime(2018, 5, 9, 13, 34, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 6, 13, 6, 53, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 12, 21, 15, 52, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '15487aff-550e-4f70-bb91-54e7f0863173', 'end_date': datetime.datetime(2019, 2, 21, 13, 18, 58), 'start_time': datetime.datetime(2017, 10, 3, 16, 59, 58), 'rate': 5, 'updated_at': datetime.datetime(2010, 5, 7, 10, 28, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7ad03ebd-8c92-423d-a5e5-0b4b9f0ffc15', 'job_description': 'Cross-platform actuating attitude', 'start_date': datetime.datetime(2016, 8, 19, 12, 56, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 12, 1, 10, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 11, 13, 37, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3f0ad375-8569-4d36-a701-5cef05489adf', 'end_date': datetime.datetime(2017, 4, 26, 6, 27, 33), 'start_time': datetime.datetime(2011, 3, 13, 15, 54, 1), 'rate': 3, 'updated_at': datetime.datetime(2013, 12, 7, 21, 22, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Honduras', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '462a28cc-3954-4224-967b-9d91f4816413', 'job_description': 'Horizontal hybrid architecture', 'start_date': datetime.datetime(2017, 10, 3, 20, 19, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 6, 15, 13, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 23, 12, 42, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7f480cee-1423-45d4-88ae-e2738cf818b9', 'end_date': datetime.datetime(2016, 1, 8, 17, 52, 52), 'start_time': datetime.datetime(2017, 12, 6, 21, 49, 28), 'rate': 2, 'updated_at': datetime.datetime(2019, 4, 24, 10, 8, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a30a770a-4984-4a6e-81e5-ce4b54a2665d', 'job_description': 'Optimized needs-based matrices', 'start_date': datetime.datetime(2018, 12, 7, 12, 38, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 9, 10, 15, 37), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 26, 5, 26, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'da3801c0-d418-4081-97c7-ac2e480c6f1c', 'end_date': datetime.datetime(2013, 7, 9, 22, 23, 55), 'start_time': datetime.datetime(2018, 8, 17, 6, 44, 5), 'rate': 4, 'updated_at': datetime.datetime(2013, 10, 2, 21, 7, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '63369423-5774-44ff-ba43-d8b3b2cfd1f4', 'job_description': 'Decentralized logistical interface', 'start_date': datetime.datetime(2018, 9, 13, 19, 46, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 7, 6, 6, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 8, 11, 25, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e34377b0-3173-4a0b-bc9c-9e67409b4248', 'end_date': datetime.datetime(2017, 5, 27, 0, 19, 15), 'start_time': datetime.datetime(2016, 6, 22, 1, 55, 35), 'rate': 2, 'updated_at': datetime.datetime(2014, 2, 8, 23, 3, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Afghanistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2396b745-2f6d-410b-a560-84ad18a91369', 'job_description': 'Automated optimal encoding', 'start_date': datetime.datetime(2019, 1, 12, 1, 43, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 4, 8, 1, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 30, 22, 13, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8f2d6e48-0b9f-4194-a230-51d3db6dc0d7', 'end_date': datetime.datetime(2012, 10, 7, 10, 49, 42), 'start_time': datetime.datetime(2016, 5, 4, 2, 47, 8), 'rate': 4, 'updated_at': datetime.datetime(2016, 2, 18, 19, 20, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '656f2cd2-7d46-4603-b9ec-43c7ce734cda', 'job_description': 'Monitored context-sensitive success', 'start_date': datetime.datetime(2016, 7, 7, 3, 33, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 8, 20, 48, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 13, 23, 51, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7e26ad00-311b-4f4b-87a4-6d6d1deaae7e', 'end_date': datetime.datetime(2012, 3, 15, 4, 45, 53), 'start_time': datetime.datetime(2012, 7, 5, 15, 21, 47), 'rate': 3, 'updated_at': datetime.datetime(2018, 5, 5, 22, 4, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Liberia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd37151e8-c697-4fdd-af23-af59e829978e', 'job_description': 'Balanced assymetric productivity', 'start_date': datetime.datetime(2014, 5, 5, 14, 2, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 1, 10, 2, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 3, 20, 40, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8ee9240c-c142-47da-b897-1f7c8ee5ff3a', 'end_date': datetime.datetime(2012, 4, 28, 18, 37, 4), 'start_time': datetime.datetime(2019, 4, 21, 18, 38, 23), 'rate': 5, 'updated_at': datetime.datetime(2013, 9, 19, 11, 21, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '61740c23-29d6-4a35-9a67-d851feb5539d', 'job_description': 'Networked optimal middleware', 'start_date': datetime.datetime(2013, 10, 1, 11, 35, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 13, 22, 16, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 24, 2, 18, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '815eb57a-a764-4fd5-a3ef-ab86962324c3', 'end_date': datetime.datetime(2016, 9, 12, 1, 42, 56), 'start_time': datetime.datetime(2013, 6, 20, 14, 6, 23), 'rate': 5, 'updated_at': datetime.datetime(2014, 9, 3, 7, 30, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Lebanon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1493daee-eb52-4276-b5e1-e00448cf3156', 'job_description': 'Switchable solution-oriented methodology', 'start_date': datetime.datetime(2014, 5, 8, 9, 58, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 26, 15, 23, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 11, 30, 21, 48, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aade6ab7-451b-43a8-b382-260ef119cc6c', 'end_date': datetime.datetime(2015, 5, 4, 9, 8, 52), 'start_time': datetime.datetime(2014, 12, 25, 14, 23, 12), 'rate': 2, 'updated_at': datetime.datetime(2012, 8, 5, 6, 34, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de2baa13-72ec-47c6-bd40-0ad5c4fab0b3', 'job_description': 'Universal fresh-thinking conglomeration', 'start_date': datetime.datetime(2018, 11, 24, 19, 34, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 30, 13, 29, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 2, 12, 44, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a0b1c62b-47d8-4c99-9685-cd98427b3deb', 'end_date': datetime.datetime(2016, 8, 17, 8, 26, 7), 'start_time': datetime.datetime(2011, 4, 28, 3, 56, 36), 'rate': 4, 'updated_at': datetime.datetime(2016, 1, 29, 6, 5, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd8afafc3-5729-4407-a4db-af4d9aece8ee', 'job_description': 'Enterprise-wide assymetric protocol', 'start_date': datetime.datetime(2018, 5, 25, 4, 26, 22), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 2, 12, 47, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 7, 17, 46, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e65d9c94-44f1-4824-8149-7b926a4a5449', 'end_date': datetime.datetime(2019, 4, 3, 18, 38, 13), 'start_time': datetime.datetime(2018, 2, 17, 21, 41, 23), 'rate': 4, 'updated_at': datetime.datetime(2010, 8, 25, 18, 13, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Macao', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7997670c-dff3-444d-acdd-e5b094af4f63', 'job_description': 'Synergistic explicit matrix', 'start_date': datetime.datetime(2010, 1, 22, 6, 35, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 11, 23, 28, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 14, 22, 40, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '493758a6-34c5-4873-ab69-0bb4934ceb64', 'end_date': datetime.datetime(2016, 12, 26, 7, 44, 6), 'start_time': datetime.datetime(2010, 6, 1, 20, 2, 43), 'rate': 2, 'updated_at': datetime.datetime(2018, 6, 2, 13, 47, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Mozambique', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1320b21a-fa96-4d85-b81b-518ffe2074b4', 'job_description': 'Digitized local forecast', 'start_date': datetime.datetime(2016, 7, 23, 20, 54, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 27, 3, 2, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 29, 15, 41, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bc0c8bde-1649-4d50-a685-17df52098e23', 'end_date': datetime.datetime(2010, 2, 19, 4, 39, 42), 'start_time': datetime.datetime(2013, 3, 18, 23, 31, 17), 'rate': 1, 'updated_at': datetime.datetime(2015, 2, 4, 15, 51, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Tonga', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ac4c59f2-f133-42d8-9351-9a6fb43a0557', 'job_description': 'Implemented empowering intranet', 'start_date': datetime.datetime(2016, 10, 14, 20, 43, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 28, 1, 39, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 16, 1, 37, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5dcfb538-3953-475d-8a9a-5b7c79f3968e', 'end_date': datetime.datetime(2012, 7, 16, 12, 47, 7), 'start_time': datetime.datetime(2017, 5, 5, 2, 54, 53), 'rate': 3, 'updated_at': datetime.datetime(2012, 4, 16, 18, 46, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '49ff6cf4-2877-4020-8bef-14d5fa83af88', 'job_description': 'Object-based systemic initiative', 'start_date': datetime.datetime(2018, 10, 11, 19, 10, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 14, 0, 0, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 2, 23, 2, 13, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e963ad11-725b-4cae-b8b4-0579b8ad4678', 'end_date': datetime.datetime(2014, 8, 2, 9, 59, 18), 'start_time': datetime.datetime(2012, 3, 3, 7, 34, 34), 'rate': 5, 'updated_at': datetime.datetime(2018, 10, 6, 17, 43, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '31bf31c5-38b3-4980-a067-7f3e9e5696ec', 'job_description': 'Sharable grid-enabled methodology', 'start_date': datetime.datetime(2010, 7, 4, 11, 30, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 3, 5, 35, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 13, 15, 1, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ad7055a4-791c-48fc-8d6e-b01e96d71e1a', 'end_date': datetime.datetime(2010, 4, 30, 4, 58, 12), 'start_time': datetime.datetime(2013, 7, 3, 16, 17, 37), 'rate': 5, 'updated_at': datetime.datetime(2010, 11, 29, 12, 14, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2bf84eda-bf7f-4536-a1d3-d8f20ff12cd4', 'job_description': 'Distributed system-worthy challenge', 'start_date': datetime.datetime(2013, 3, 5, 12, 24, 39), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 8, 9, 25, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 3, 12, 1, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '26a926d2-6269-4217-8861-59db1584fbf4', 'end_date': datetime.datetime(2014, 3, 14, 0, 52, 2), 'start_time': datetime.datetime(2014, 6, 1, 12, 26, 9), 'rate': 1, 'updated_at': datetime.datetime(2010, 3, 4, 0, 7, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '991c1e46-5cb9-4c0e-b8eb-84930826aace', 'job_description': 'Advanced reciprocal productivity', 'start_date': datetime.datetime(2017, 2, 21, 22, 36, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 27, 13, 49, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 15, 20, 47, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7b3ba3eb-0096-4158-a223-3052a0de943c', 'end_date': datetime.datetime(2019, 7, 12, 19, 7, 1), 'start_time': datetime.datetime(2014, 9, 1, 14, 6, 38), 'rate': 1, 'updated_at': datetime.datetime(2011, 2, 27, 11, 47, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6b0b0c9c-67e9-4f97-821f-7795acb522eb', 'job_description': 'Down-sized zero administration implementation', 'start_date': datetime.datetime(2014, 8, 8, 12, 7, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 6, 5, 12, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 27, 11, 36, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f79ebc1a-cca3-4eee-af0a-84f38b840d95', 'end_date': datetime.datetime(2017, 3, 17, 11, 49, 29), 'start_time': datetime.datetime(2012, 7, 13, 8, 44, 31), 'rate': 5, 'updated_at': datetime.datetime(2015, 3, 2, 5, 33, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Fiji', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ed7cb82f-7fa4-4315-a6fd-253c66b559f0', 'job_description': 'Cross-platform stable conglomeration', 'start_date': datetime.datetime(2019, 7, 7, 18, 50, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 12, 13, 44, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 18, 21, 41, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '78cc88ba-3a25-4042-bbfd-37d92943e31b', 'end_date': datetime.datetime(2018, 10, 20, 12, 51, 5), 'start_time': datetime.datetime(2018, 1, 23, 9, 11, 24), 'rate': 2, 'updated_at': datetime.datetime(2010, 6, 27, 17, 35, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1cb0a4d3-82c4-468a-a003-33f3d4dd2504', 'job_description': 'Cross-group zero tolerance throughput', 'start_date': datetime.datetime(2018, 8, 8, 7, 8, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 7, 20, 23, 11, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 15, 9, 10, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9de5a41c-a66c-46ec-b374-ec08ad541270', 'end_date': datetime.datetime(2012, 8, 17, 7, 10, 33), 'start_time': datetime.datetime(2016, 12, 11, 20, 33, 37), 'rate': 1, 'updated_at': datetime.datetime(2011, 6, 19, 7, 47, 39), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '206f6d26-084b-4ea1-b449-24b574146ed1', 'job_description': 'Sharable modular open architecture', 'start_date': datetime.datetime(2017, 1, 11, 18, 59, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 28, 16, 33, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 8, 14, 22, 46, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e848c310-ed7a-4547-a671-53868cd0d8b0', 'end_date': datetime.datetime(2015, 11, 16, 3, 3, 41), 'start_time': datetime.datetime(2012, 3, 26, 15, 59, 4), 'rate': 3, 'updated_at': datetime.datetime(2016, 2, 6, 4, 11, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Bhutan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ea2b9d65-3f28-40d5-977a-43d54a5b7f93', 'job_description': 'Robust client-server emulation', 'start_date': datetime.datetime(2011, 5, 28, 11, 46, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 26, 12, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 6, 18, 19, 27, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8469fac8-2edd-49ea-9e11-1a6d38229684', 'end_date': datetime.datetime(2013, 9, 29, 1, 6, 57), 'start_time': datetime.datetime(2019, 10, 19, 22, 56, 39), 'rate': 4, 'updated_at': datetime.datetime(2013, 9, 29, 23, 47, 32), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6f52248a-80fc-4a56-bd0a-946fdd3f34ba', 'job_description': 'Universal solution-oriented protocol', 'start_date': datetime.datetime(2011, 12, 24, 17, 31, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 14, 3, 28, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 29, 4, 19, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '15efc23e-2809-4659-b249-0ea2fbdfc3be', 'end_date': datetime.datetime(2016, 10, 18, 10, 54, 4), 'start_time': datetime.datetime(2016, 9, 15, 3, 7, 9), 'rate': 5, 'updated_at': datetime.datetime(2014, 4, 13, 23, 44, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Vincent and the Grenadines', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0ac038b0-0ca9-4c26-9092-c61195338ddd', 'job_description': 'Realigned executive productivity', 'start_date': datetime.datetime(2018, 11, 3, 9, 9, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 2, 8, 6, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 24, 16, 41, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e7c1ae85-3626-41c2-b0dd-f4f5893c1bc2', 'end_date': datetime.datetime(2017, 1, 13, 13, 29, 55), 'start_time': datetime.datetime(2011, 3, 22, 15, 49, 26), 'rate': 4, 'updated_at': datetime.datetime(2013, 9, 10, 19, 20, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Albania', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c875916d-ebdb-407e-8f44-473b5e33fb36', 'job_description': 'Robust non-volatile implementation', 'start_date': datetime.datetime(2019, 6, 27, 16, 28, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 25, 7, 14, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 17, 16, 56, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eddee96e-bb69-4b5e-8829-88dc4a2a50ea', 'end_date': datetime.datetime(2010, 3, 6, 15, 9, 35), 'start_time': datetime.datetime(2013, 12, 31, 9, 57, 58), 'rate': 5, 'updated_at': datetime.datetime(2018, 2, 12, 16, 53, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '87aa7540-e2b8-4c4c-a328-d0b9803541b9', 'job_description': 'Team-oriented needs-based Graphic Interface', 'start_date': datetime.datetime(2011, 3, 29, 15, 24, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 15, 10, 3, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 29, 1, 24, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f043b653-b410-4ee5-9bba-0df3a6074f49', 'end_date': datetime.datetime(2018, 8, 19, 16, 46, 46), 'start_time': datetime.datetime(2016, 6, 26, 9, 29, 45), 'rate': 4, 'updated_at': datetime.datetime(2010, 1, 11, 7, 0, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Guyana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9ea95ac0-4d4f-46c1-a585-a0bf6217429b', 'job_description': 'Cross-platform asynchronous open system', 'start_date': datetime.datetime(2010, 10, 29, 14, 34, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 4, 10, 3, 57, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 27, 11, 19, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b7c1150c-bf5d-4b87-b5f9-068fd2a72946', 'end_date': datetime.datetime(2013, 9, 5, 2, 55, 35), 'start_time': datetime.datetime(2018, 3, 20, 8, 33, 43), 'rate': 2, 'updated_at': datetime.datetime(2014, 10, 1, 1, 57, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'acec37e3-f726-445a-8105-484a03fb1828', 'job_description': 'Right-sized multi-state customer loyalty', 'start_date': datetime.datetime(2010, 4, 26, 12, 49, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 3, 4, 58, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 14, 19, 23, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ae35a3f1-83e2-4c7d-af96-d1392067537d', 'end_date': datetime.datetime(2014, 10, 24, 3, 44, 14), 'start_time': datetime.datetime(2012, 2, 4, 22, 41, 15), 'rate': 5, 'updated_at': datetime.datetime(2015, 4, 1, 9, 6, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '592f5efc-a81f-4bf4-b76c-9c67aa25f7ab', 'job_description': 'Business-focused bottom-line standardization', 'start_date': datetime.datetime(2014, 8, 9, 8, 4, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 9, 19, 0, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 22, 7, 43, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9ecf8f16-d917-4d35-98ee-e663cdad398c', 'end_date': datetime.datetime(2017, 12, 14, 14, 51, 57), 'start_time': datetime.datetime(2011, 10, 21, 23, 1, 33), 'rate': 1, 'updated_at': datetime.datetime(2014, 1, 24, 12, 2, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Jersey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'da826849-79d3-43bd-bd49-c4834c68022f', 'job_description': 'Monitored zero defect superstructure', 'start_date': datetime.datetime(2012, 1, 15, 15, 8, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 13, 12, 38, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 3, 14, 5, 31, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c53637ce-0423-40d4-a646-f68c0440990b', 'end_date': datetime.datetime(2018, 3, 20, 19, 25, 11), 'start_time': datetime.datetime(2011, 6, 13, 21, 47, 19), 'rate': 1, 'updated_at': datetime.datetime(2019, 7, 30, 0, 4, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Netherlands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ef8fcc1e-f4b2-49fd-ab85-ba85042223d9', 'job_description': 'Focused optimal success', 'start_date': datetime.datetime(2018, 6, 20, 17, 9, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 1, 14, 18, 35, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 27, 10, 25, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '81c3f0f0-9310-4445-bf22-e15cc3143349', 'end_date': datetime.datetime(2015, 4, 2, 16, 28, 24), 'start_time': datetime.datetime(2017, 10, 31, 14, 47, 11), 'rate': 2, 'updated_at': datetime.datetime(2019, 1, 12, 20, 4, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9370b889-9c0d-44a4-a360-a14326265b0a', 'job_description': 'Cross-group mission-critical standardization', 'start_date': datetime.datetime(2017, 6, 3, 2, 7, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 6, 10, 17, 44, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 19, 7, 22, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '70aacb06-2414-418e-a3b4-b30511cca423', 'end_date': datetime.datetime(2012, 12, 28, 19, 29, 53), 'start_time': datetime.datetime(2012, 11, 24, 13, 48, 23), 'rate': 4, 'updated_at': datetime.datetime(2018, 5, 8, 6, 32, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
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{'_id': 'c96cda6f-8202-4e4b-8d62-93dee7f172a6', 'job_description': 'Re-contextualized methodical collaboration', 'start_date': datetime.datetime(2019, 9, 15, 9, 58, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 25, 18, 27, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 24, 10, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1f591091-0b96-4cc1-85b6-490619e63486', 'end_date': datetime.datetime(2011, 6, 12, 7, 40, 5), 'start_time': datetime.datetime(2017, 3, 13, 0, 37, 15), 'rate': 1, 'updated_at': datetime.datetime(2017, 11, 17, 21, 39, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Sao Tome and Principe', 'special_note': 'thanks'}
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{'_id': '4b68fafe-f264-4f42-bc4b-b31270c03296', 'job_description': 'Advanced tangible benchmark', 'start_date': datetime.datetime(2012, 10, 12, 20, 38, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 7, 14, 8, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 20, 21, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '43c3e2b2-0b43-4b62-baa0-26f0f0e34f52', 'end_date': datetime.datetime(2018, 8, 26, 11, 2, 43), 'start_time': datetime.datetime(2011, 10, 6, 4, 59, 50), 'rate': 2, 'updated_at': datetime.datetime(2010, 11, 5, 19, 18, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Argentina', 'special_note': 'thanks'}
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{'_id': 'f1477f4d-4984-4008-85aa-1a6b37c9c6a7', 'job_description': 'Balanced client-driven workforce', 'start_date': datetime.datetime(2014, 5, 3, 4, 17, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 20, 11, 40, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 30, 8, 55, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5580ba68-cd7c-4421-802b-917dddaf280a', 'end_date': datetime.datetime(2012, 2, 29, 17, 3, 21), 'start_time': datetime.datetime(2012, 3, 29, 21, 12, 56), 'rate': 2, 'updated_at': datetime.datetime(2016, 5, 6, 11, 49, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
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{'_id': '95223b4c-6703-40fd-8d6c-787e581ac5cc', 'job_description': 'Pre-emptive methodical hierarchy', 'start_date': datetime.datetime(2017, 12, 11, 18, 34, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 30, 10, 10, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 2, 23, 10, 10, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2d392c20-96bf-400d-b0ce-3ea7302b3dfe', 'end_date': datetime.datetime(2011, 12, 6, 3, 21, 19), 'start_time': datetime.datetime(2011, 2, 15, 7, 36, 30), 'rate': 5, 'updated_at': datetime.datetime(2019, 8, 8, 14, 35, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
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{'_id': '6305a84c-8cba-4a26-81bd-1810e216021d', 'job_description': 'Virtual reciprocal firmware', 'start_date': datetime.datetime(2014, 4, 19, 18, 36, 35), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 28, 7, 22, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 25, 0, 52, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1b4f6803-36d0-4184-a43b-940fe262c4f4', 'end_date': datetime.datetime(2019, 5, 4, 4, 31, 37), 'start_time': datetime.datetime(2016, 10, 2, 1, 35, 57), 'rate': 2, 'updated_at': datetime.datetime(2017, 9, 7, 9, 47, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
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{'_id': 'bc8aff22-fac0-4ed3-8934-ce9732bc60d4', 'job_description': 'Future-proofed 6th generation success', 'start_date': datetime.datetime(2014, 5, 20, 23, 58, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 5, 23, 11, 49, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 10, 8, 12, 33), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5bc0a17c-faa8-4bb9-b5c8-30f130a4589f', 'end_date': datetime.datetime(2017, 11, 30, 10, 22, 53), 'start_time': datetime.datetime(2019, 4, 18, 14, 0, 34), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 7, 5, 25, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Lithuania', 'special_note': 'thanks'}
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{'_id': 'a9a47f5a-c231-43b4-9664-d840e17d814c', 'job_description': 'Horizontal solution-oriented installation', 'start_date': datetime.datetime(2015, 10, 9, 9, 51, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 2, 22, 16, 44, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 6, 11, 41, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0c66a661-091e-470d-b035-259c823c6994', 'end_date': datetime.datetime(2015, 3, 1, 17, 5, 48), 'start_time': datetime.datetime(2013, 7, 10, 15, 17, 7), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 2, 21, 12, 14), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
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{'_id': 'a6502536-17ce-4598-b939-883055f78eb1', 'job_description': 'Fully-configurable cohesive definition', 'start_date': datetime.datetime(2011, 7, 11, 11, 29, 48), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 25, 2, 26, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 10, 19, 11, 39, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1cdc57dd-bb00-4f23-8d20-f104dd53b21f', 'end_date': datetime.datetime(2017, 9, 3, 16, 44, 54), 'start_time': datetime.datetime(2015, 8, 20, 6, 52, 7), 'rate': 1, 'updated_at': datetime.datetime(2011, 6, 17, 11, 13, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Romania', 'special_note': 'thanks'}
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{'_id': 'c62ccf7b-2a4b-43bb-91df-ce694c1fe4fc', 'job_description': 'Business-focused real-time local area network', 'start_date': datetime.datetime(2016, 10, 14, 5, 55, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 10, 14, 14, 53, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 18, 19, 25, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '78b4843a-8daa-4f92-a77b-41da30641f24', 'end_date': datetime.datetime(2018, 3, 28, 3, 11, 7), 'start_time': datetime.datetime(2010, 5, 28, 18, 1, 12), 'rate': 3, 'updated_at': datetime.datetime(2013, 11, 19, 20, 18, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '741f3002-2a1f-4a8f-a30a-d84f32726bd2', 'job_description': 'Vision-oriented transitional application', 'start_date': datetime.datetime(2012, 1, 30, 2, 5, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 9, 20, 14, 24, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 22, 5, 27, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '717f1b9f-887d-49d7-8650-ca6e3313b5b7', 'end_date': datetime.datetime(2015, 4, 17, 7, 6, 53), 'start_time': datetime.datetime(2018, 6, 16, 11, 54, 41), 'rate': 4, 'updated_at': datetime.datetime(2012, 9, 6, 4, 5, 24), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
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{'_id': '5e73ee60-4ea0-4a7f-b392-14818f675a48', 'job_description': 'Fundamental grid-enabled internet solution', 'start_date': datetime.datetime(2014, 8, 15, 5, 2, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 21, 14, 57, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 3, 11, 12, 36, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c44b7af1-7995-4720-9659-4f728888bc2d', 'end_date': datetime.datetime(2011, 6, 1, 17, 4, 50), 'start_time': datetime.datetime(2017, 5, 7, 12, 46, 31), 'rate': 1, 'updated_at': datetime.datetime(2016, 2, 18, 0, 8, 38), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
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{'_id': 'bf57b971-8160-4f51-9c3e-74cfb7797fe5', 'job_description': 'Down-sized 3rd generation artificial intelligence', 'start_date': datetime.datetime(2011, 9, 19, 5, 25, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 1, 1, 13, 7, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 6, 15, 3, 51, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '25ac6636-19a5-4d17-9ac2-63507242063c', 'end_date': datetime.datetime(2012, 7, 14, 10, 38, 53), 'start_time': datetime.datetime(2012, 10, 9, 5, 11, 5), 'rate': 2, 'updated_at': datetime.datetime(2014, 3, 21, 3, 45, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Cyprus', 'special_note': 'thanks'}
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{'_id': '8d21c1bb-6d24-41e7-9f97-07105da6e327', 'job_description': 'Multi-layered clear-thinking array', 'start_date': datetime.datetime(2013, 2, 9, 22, 35, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 3, 6, 22, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 29, 20, 9, 24), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8bb118b3-32d1-4a98-ac0f-9dead8b34603', 'end_date': datetime.datetime(2017, 11, 16, 15, 34, 55), 'start_time': datetime.datetime(2011, 2, 28, 16, 20, 27), 'rate': 1, 'updated_at': datetime.datetime(2014, 9, 27, 20, 44, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
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{'_id': '8e862541-ffc5-494c-82a1-4ee29e94bc1f', 'job_description': 'Ergonomic zero defect function', 'start_date': datetime.datetime(2013, 10, 14, 1, 15, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 14, 20, 56, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 1, 1, 0, 4, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8bdfacba-f8bd-4ae2-b634-3aee4dff8ce2', 'end_date': datetime.datetime(2017, 8, 10, 6, 40), 'start_time': datetime.datetime(2015, 9, 4, 13, 47, 18), 'rate': 5, 'updated_at': datetime.datetime(2010, 4, 28, 4, 57, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
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{'_id': 'b3c983cb-9705-4ede-88f3-4ac73effedc8', 'job_description': 'Digitized multi-tasking functionalities', 'start_date': datetime.datetime(2015, 8, 17, 1, 38, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 7, 12, 33, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 12, 19, 39, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '32c3d1a9-16ac-4c61-b9af-ab14e9996e18', 'end_date': datetime.datetime(2018, 4, 11, 4, 22, 47), 'start_time': datetime.datetime(2010, 2, 17, 1, 10, 20), 'rate': 3, 'updated_at': datetime.datetime(2018, 10, 14, 22, 36, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Saudi Arabia', 'special_note': 'thanks'}
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{'_id': '6452cc79-73b8-4a66-b38f-dafb99b683c1', 'job_description': 'Ameliorated executive capacity', 'start_date': datetime.datetime(2011, 12, 12, 0, 36, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 1, 23, 49, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 30, 1, 11, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '82b5ef6f-41d3-4936-8d44-2705c62dd5d5', 'end_date': datetime.datetime(2016, 3, 8, 6, 45, 8), 'start_time': datetime.datetime(2011, 5, 1, 2, 57, 25), 'rate': 5, 'updated_at': datetime.datetime(2019, 4, 18, 0, 57, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Burundi', 'special_note': 'thanks'}
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{'_id': '9ee65bdb-9a43-4db8-829a-eadca37a2335', 'job_description': 'Secured interactive monitoring', 'start_date': datetime.datetime(2017, 5, 15, 19, 14, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 2, 4, 29, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 7, 13, 36, 40), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd33bc204-550e-4d2a-8251-f80ad62227a4', 'end_date': datetime.datetime(2017, 6, 13, 19, 59, 16), 'start_time': datetime.datetime(2015, 11, 30, 15, 40, 21), 'rate': 5, 'updated_at': datetime.datetime(2019, 6, 2, 10, 44, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
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{'_id': 'fe9317b3-dfb9-4f0c-b787-21c038d467bb', 'job_description': 'Universal 5th generation policy', 'start_date': datetime.datetime(2013, 10, 29, 11, 4, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 12, 18, 21, 42, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 29, 22, 15, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '80c8e24d-2b3c-4823-bbb5-3653dd9d002c', 'end_date': datetime.datetime(2017, 2, 6, 22, 7, 32), 'start_time': datetime.datetime(2015, 5, 15, 7, 14, 40), 'rate': 1, 'updated_at': datetime.datetime(2011, 9, 26, 1, 53, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
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{'_id': '11abe72f-b5df-4b7f-8ac6-8a5363c6db1a', 'job_description': 'Synergized bottom-line monitoring', 'start_date': datetime.datetime(2010, 5, 7, 20, 51, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 27, 5, 42, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 8, 9, 49, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '42e0049e-23cd-4ea3-b820-b21ed017f57f', 'end_date': datetime.datetime(2017, 5, 15, 12, 56, 46), 'start_time': datetime.datetime(2018, 11, 11, 11, 49, 17), 'rate': 4, 'updated_at': datetime.datetime(2011, 3, 25, 10, 24, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
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{'_id': 'db8d34d1-d58a-47f8-99a2-6ba39474a42b', 'job_description': 'Reverse-engineered directional Graphic Interface', 'start_date': datetime.datetime(2017, 3, 18, 6, 2, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 27, 21, 3, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 1, 14, 8, 16, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ebe07724-5300-40e6-abb7-29a165944e36', 'end_date': datetime.datetime(2010, 10, 25, 9, 19, 50), 'start_time': datetime.datetime(2013, 11, 23, 19, 46, 4), 'rate': 5, 'updated_at': datetime.datetime(2018, 9, 8, 3, 3, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Ghana', 'special_note': 'thanks'}
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{'_id': 'c50588d3-59d4-4a66-bed6-69dbf483e2e1', 'job_description': 'Triple-buffered impactful leverage', 'start_date': datetime.datetime(2016, 6, 27, 9, 17, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 1, 1, 16, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 22, 21, 24, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f2dd2d35-33f4-4f90-bb7a-482ec97a4fa2', 'end_date': datetime.datetime(2010, 4, 21, 13, 6, 7), 'start_time': datetime.datetime(2011, 10, 28, 9, 15, 49), 'rate': 5, 'updated_at': datetime.datetime(2017, 9, 28, 5, 25, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
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{'_id': 'cae0a056-6827-445a-b99d-ff1d2c331fca', 'job_description': 'Customizable bifurcated approach', 'start_date': datetime.datetime(2010, 7, 20, 13, 23, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 7, 17, 5, 36, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 19, 23, 55, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ab46f85e-1324-4b5f-b7a9-dc3b0407465f', 'end_date': datetime.datetime(2014, 9, 7, 6, 45, 52), 'start_time': datetime.datetime(2014, 2, 10, 9, 28, 48), 'rate': 5, 'updated_at': datetime.datetime(2019, 3, 29, 15, 21, 2), 'job_title': 'CoffeeMaker', 'service_id': 'Ethiopia', 'special_note': 'thanks'}
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{'_id': '2020da0e-2453-45cc-b0d2-bdaccfe9dd86', 'job_description': 'Switchable bi-directional help-desk', 'start_date': datetime.datetime(2014, 4, 5, 6, 47, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 23, 5, 3, 6), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 1, 2, 4, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5e72ece8-016f-4ce5-9e93-5a8ba52a5b63', 'end_date': datetime.datetime(2018, 6, 29, 0, 16, 20), 'start_time': datetime.datetime(2018, 9, 24, 17, 44, 40), 'rate': 3, 'updated_at': datetime.datetime(2011, 4, 18, 18, 43, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ed3b603e-9a53-4467-a3c1-7cc00e5076cd', 'job_description': 'Face to face global firmware', 'start_date': datetime.datetime(2012, 8, 7, 20, 26, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 1, 13, 54, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 19, 9, 35, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fe2a4853-63b3-4208-8d5b-f4b51666496a', 'end_date': datetime.datetime(2018, 9, 19, 15, 26, 20), 'start_time': datetime.datetime(2019, 1, 18, 3, 11, 37), 'rate': 2, 'updated_at': datetime.datetime(2018, 4, 6, 11, 38, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'edcfdf86-430c-475f-ab88-bad24a2939eb', 'job_description': 'Open-architected value-added focus group', 'start_date': datetime.datetime(2019, 1, 27, 13, 40, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 17, 9, 29, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 21, 7, 47, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77b9a01a-2bcd-459f-b135-6a77d259bc55', 'end_date': datetime.datetime(2018, 3, 6, 7, 50, 54), 'start_time': datetime.datetime(2016, 6, 17, 0, 3, 9), 'rate': 2, 'updated_at': datetime.datetime(2014, 1, 15, 1, 39, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'acecdeb8-0f83-468b-b008-11a5bcef4c08', 'job_description': 'Synergistic global product', 'start_date': datetime.datetime(2016, 5, 25, 7, 26, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 13, 13, 54, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 6, 18, 14, 13, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a468ef1c-7af8-4f81-9e83-8058b5a93355', 'end_date': datetime.datetime(2017, 4, 30, 10, 8, 24), 'start_time': datetime.datetime(2019, 3, 5, 10, 36, 22), 'rate': 4, 'updated_at': datetime.datetime(2015, 7, 19, 4, 52, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '82945d08-ef6c-4d27-9ea6-f202d4638a00', 'job_description': 'Persistent 4th generation challenge', 'start_date': datetime.datetime(2016, 12, 4, 5, 20, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 9, 22, 10, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 20, 7, 3, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '364911e6-e961-4d2f-8a10-94d1ab87706f', 'end_date': datetime.datetime(2019, 11, 16, 18, 31, 20), 'start_time': datetime.datetime(2012, 4, 21, 23, 48, 32), 'rate': 4, 'updated_at': datetime.datetime(2014, 8, 4, 3, 13, 4), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '197bb143-adf1-499e-a29d-de7898ad95d1', 'job_description': 'Re-contextualized well-modulated Graphical User Interface', 'start_date': datetime.datetime(2010, 8, 27, 20, 34, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 8, 16, 13, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 23, 18, 23, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e7d63f3a-ca9e-4a3a-8243-6bd205b57b6c', 'end_date': datetime.datetime(2015, 7, 30, 20, 35, 51), 'start_time': datetime.datetime(2011, 7, 28, 11, 24, 38), 'rate': 3, 'updated_at': datetime.datetime(2012, 8, 20, 12, 14, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Jordan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '25cc9eac-d323-48e7-a378-a771e7f7caad', 'job_description': 'Multi-channelled responsive open architecture', 'start_date': datetime.datetime(2012, 6, 14, 10, 49, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 17, 17, 16, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 14, 0, 7, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1544c8d8-7500-4a0f-abd9-05284ff9933d', 'end_date': datetime.datetime(2010, 1, 26, 8, 35, 36), 'start_time': datetime.datetime(2012, 2, 24, 16, 47, 39), 'rate': 4, 'updated_at': datetime.datetime(2015, 10, 13, 13, 11, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Maldives', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7ced2db4-6a74-4981-8d75-d7ead28ca3ac', 'job_description': 'Upgradable solution-oriented ability', 'start_date': datetime.datetime(2013, 10, 30, 22, 30, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 4, 15, 36, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 14, 19, 18, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '51b01fd9-7159-4981-982c-c9bff4e76fa0', 'end_date': datetime.datetime(2013, 11, 24, 1, 5, 7), 'start_time': datetime.datetime(2011, 11, 29, 20, 53, 45), 'rate': 1, 'updated_at': datetime.datetime(2015, 1, 25, 11, 41, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Grenada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '27ff9c17-4bea-44da-b979-3ae1a059ec85', 'job_description': 'Seamless encompassing matrices', 'start_date': datetime.datetime(2017, 1, 23, 16, 23, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 30, 2, 8, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 11, 10, 15, 39, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a91ce1f4-289e-4c87-a0b0-00b1d6e06452', 'end_date': datetime.datetime(2013, 6, 20, 7, 59, 8), 'start_time': datetime.datetime(2016, 4, 20, 2, 38, 28), 'rate': 4, 'updated_at': datetime.datetime(2010, 4, 10, 0, 42, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c4a21808-4a81-4e7e-b5d0-9b48dd5e8d74', 'job_description': 'Focused context-sensitive attitude', 'start_date': datetime.datetime(2013, 9, 17, 11, 29, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 3, 19, 2, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 17, 3, 48, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f8983de6-38fe-46f9-a9e6-059393208ddb', 'end_date': datetime.datetime(2014, 2, 8, 11, 33, 50), 'start_time': datetime.datetime(2010, 2, 9, 9, 12, 43), 'rate': 3, 'updated_at': datetime.datetime(2014, 6, 26, 7, 43, 28), 'job_title': 'CoffeeMaker', 'service_id': 'Jamaica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '399bd345-df15-4498-9715-7c684509491d', 'job_description': 'Universal regional firmware', 'start_date': datetime.datetime(2010, 3, 9, 11, 52, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 13, 0, 40, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 28, 11, 28, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '252282a6-80a3-47b6-822e-d37647c00231', 'end_date': datetime.datetime(2018, 3, 26, 10, 12, 20), 'start_time': datetime.datetime(2016, 9, 16, 3, 36, 33), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 25, 9, 43, 36), 'job_title': 'CoffeeMaker', 'service_id': 'Bangladesh', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '67179f22-3928-472c-9465-3a7db087cfd2', 'job_description': 'Expanded optimizing help-desk', 'start_date': datetime.datetime(2011, 11, 19, 9, 42, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 27, 10, 3, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 5, 10, 14, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cf147d4a-5f07-46c7-b2a4-2933393009ef', 'end_date': datetime.datetime(2010, 6, 4, 21, 10, 12), 'start_time': datetime.datetime(2016, 3, 31, 23, 12, 42), 'rate': 3, 'updated_at': datetime.datetime(2018, 2, 19, 13, 2, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Lesotho', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '898b5b21-f804-4d9a-825d-c6757a705d10', 'job_description': 'Down-sized assymetric matrices', 'start_date': datetime.datetime(2017, 3, 26, 15, 42, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 11, 21, 12, 44, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 19, 14, 46, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7048ef7b-b580-4a47-b96f-23ffff66582d', 'end_date': datetime.datetime(2015, 8, 29, 17, 29, 39), 'start_time': datetime.datetime(2010, 10, 31, 21, 45, 53), 'rate': 1, 'updated_at': datetime.datetime(2011, 12, 5, 14, 15, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b25ceed3-e197-40a2-98ab-059794b1c8ed', 'job_description': 'Cross-group intermediate application', 'start_date': datetime.datetime(2018, 7, 15, 23, 1, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 1, 6, 24, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 10, 11, 21, 55, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1dbd679e-ce7c-4659-a0a4-24a0764a65a0', 'end_date': datetime.datetime(2018, 5, 11, 13, 38, 20), 'start_time': datetime.datetime(2017, 8, 24, 11, 58, 16), 'rate': 5, 'updated_at': datetime.datetime(2013, 11, 11, 9, 46, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Barthelemy', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '53b32fe1-2960-44c4-b846-03aab355705d', 'job_description': 'Optimized optimizing software', 'start_date': datetime.datetime(2012, 11, 24, 6, 53, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 25, 10, 49, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 9, 4, 7, 9, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '41734571-457f-46b6-a3db-1c4d10798194', 'end_date': datetime.datetime(2017, 9, 24, 7, 38, 49), 'start_time': datetime.datetime(2017, 9, 7, 22, 56, 35), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 30, 19, 9, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Niue', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f69802aa-a36e-47cf-9e5c-75d2a526e9be', 'job_description': 'Synergistic needs-based solution', 'start_date': datetime.datetime(2015, 9, 18, 7, 18, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 16, 4, 39, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 3, 21, 8, 33, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5c81f65f-61cb-44e0-9050-9f70f6e8fd85', 'end_date': datetime.datetime(2015, 2, 14, 14, 13, 38), 'start_time': datetime.datetime(2016, 4, 23, 18, 17, 33), 'rate': 4, 'updated_at': datetime.datetime(2016, 12, 22, 11, 50, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '4042d487-930c-4386-8946-3b339ca30080', 'job_description': 'Front-line dedicated orchestration', 'start_date': datetime.datetime(2012, 4, 8, 5, 41, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 9, 7, 2, 19, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 11, 15, 34, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '517cc7a0-9e87-4dc4-878d-314afce48da3', 'end_date': datetime.datetime(2015, 9, 16, 13, 59, 38), 'start_time': datetime.datetime(2014, 2, 20, 23, 57, 18), 'rate': 1, 'updated_at': datetime.datetime(2013, 1, 3, 3, 12, 32), 'job_title': 'CoffeeMaker', 'service_id': "Lao People's Democratic Republic", 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9d350ad4-7a56-4936-93fe-5439e7580694', 'job_description': 'Multi-lateral 5th generation Graphical User Interface', 'start_date': datetime.datetime(2016, 9, 20, 15, 59, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 16, 2, 28, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 8, 21, 24, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f03df33b-f4c6-45aa-a9e5-e6e1f05f9131', 'end_date': datetime.datetime(2017, 2, 17, 2, 51, 30), 'start_time': datetime.datetime(2019, 9, 10, 12, 6, 24), 'rate': 5, 'updated_at': datetime.datetime(2019, 4, 24, 23, 48, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Svalbard & Jan Mayen Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1fd9a63c-92dc-4b88-9903-c87b0835a96f', 'job_description': 'Team-oriented impactful methodology', 'start_date': datetime.datetime(2019, 1, 19, 13, 54, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 27, 22, 6, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 10, 10, 55, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ca59fb46-0be5-43a4-ae1c-89ea666e68f5', 'end_date': datetime.datetime(2017, 10, 6, 9, 14, 2), 'start_time': datetime.datetime(2014, 1, 18, 18, 21, 50), 'rate': 2, 'updated_at': datetime.datetime(2010, 9, 14, 7, 45, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Anguilla', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bfdcb7b9-645d-41db-97ef-528f89834635', 'job_description': 'Mandatory bottom-line superstructure', 'start_date': datetime.datetime(2013, 2, 27, 15, 21, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 27, 3, 43, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 20, 1, 12, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b051efe1-86b1-4c61-8eb3-f540fb81cf8f', 'end_date': datetime.datetime(2017, 10, 29, 15, 5, 43), 'start_time': datetime.datetime(2011, 7, 12, 0, 9, 25), 'rate': 3, 'updated_at': datetime.datetime(2011, 6, 25, 10, 29, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Iceland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '02d205f6-7d56-43cf-96b9-851ea3e4c361', 'job_description': 'Function-based dedicated projection', 'start_date': datetime.datetime(2019, 9, 27, 10, 45, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 5, 20, 56, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 9, 30, 16, 38, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f75d2cb7-f522-475c-812e-271000c400dc', 'end_date': datetime.datetime(2016, 1, 19, 5, 59, 14), 'start_time': datetime.datetime(2010, 10, 25, 1, 36, 1), 'rate': 3, 'updated_at': datetime.datetime(2014, 9, 20, 10, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Kenya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '11e02844-2ec1-448f-8ab7-98f560e2eb9f', 'job_description': 'Up-sized object-oriented benchmark', 'start_date': datetime.datetime(2017, 11, 10, 0, 43, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 3, 14, 51, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 10, 14, 20, 7, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '27ab70f5-78a9-4ab9-a548-21d3994ac98f', 'end_date': datetime.datetime(2010, 3, 9, 3, 33, 11), 'start_time': datetime.datetime(2012, 9, 5, 15, 19, 28), 'rate': 3, 'updated_at': datetime.datetime(2014, 7, 13, 15, 56, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '39451f3a-a544-4335-a6a8-b558890ffca0', 'job_description': 'Persevering clear-thinking database', 'start_date': datetime.datetime(2013, 12, 27, 3, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 26, 2, 43, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 26, 9, 42, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '429d248d-d7c9-4ae2-aa9a-11b2504cbce5', 'end_date': datetime.datetime(2010, 9, 3, 15, 57, 44), 'start_time': datetime.datetime(2018, 12, 17, 10, 13, 24), 'rate': 2, 'updated_at': datetime.datetime(2019, 3, 17, 2, 38, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Gibraltar', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '33198524-5e87-403a-a2a4-91f99aebd90c', 'job_description': 'Total directional infrastructure', 'start_date': datetime.datetime(2014, 6, 23, 15, 46, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 10, 5, 1, 54, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 10, 19, 41, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f9e5b51b-7fff-42ad-b9f0-6fe5b63ae85b', 'end_date': datetime.datetime(2018, 10, 28, 17, 45, 54), 'start_time': datetime.datetime(2014, 12, 22, 17, 43, 53), 'rate': 3, 'updated_at': datetime.datetime(2019, 5, 3, 20, 42, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fdf31707-2fcb-41fb-8785-5dffa8a16ee6', 'job_description': 'Proactive fault-tolerant core', 'start_date': datetime.datetime(2019, 8, 4, 17, 19, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 25, 15, 51, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 13, 20, 34, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6df94320-6f73-4936-977f-7d493e48ee90', 'end_date': datetime.datetime(2010, 12, 25, 6, 36, 16), 'start_time': datetime.datetime(2017, 7, 31, 8, 54, 3), 'rate': 4, 'updated_at': datetime.datetime(2016, 2, 23, 2, 59, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dc4f0a64-0228-4d69-94e6-e9a7c2f11306', 'job_description': 'Cross-group transitional standardization', 'start_date': datetime.datetime(2019, 1, 26, 4, 9, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 17, 5, 29, 8), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 4, 22, 0, 33, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '77d7c2e5-2231-4475-b148-28484ffa6910', 'end_date': datetime.datetime(2012, 4, 14, 17, 25, 54), 'start_time': datetime.datetime(2019, 3, 22, 1, 7, 20), 'rate': 5, 'updated_at': datetime.datetime(2013, 6, 6, 8, 22, 29), 'job_title': 'CoffeeMaker', 'service_id': 'French Southern Territories', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dbd2879a-ad07-4bc0-a0a1-9d9c07cb56e2', 'job_description': 'Balanced holistic system engine', 'start_date': datetime.datetime(2017, 12, 5, 23, 25, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 1, 24, 9, 40, 32), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 8, 4, 43, 57), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f7e4d1ba-5450-45cc-8fd6-78729169eb0a', 'end_date': datetime.datetime(2019, 9, 15, 2, 47, 13), 'start_time': datetime.datetime(2019, 4, 3, 22, 48, 5), 'rate': 4, 'updated_at': datetime.datetime(2010, 7, 28, 16, 28, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Iraq', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '28c2dca5-9ad7-4894-a154-d8c2564ebdfe', 'job_description': 'Progressive local process improvement', 'start_date': datetime.datetime(2012, 3, 1, 4, 57, 15), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 5, 21, 8, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 10, 7, 4, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b885b1aa-74e0-43c8-8fa9-850fa30aea9e', 'end_date': datetime.datetime(2010, 9, 2, 10, 19, 49), 'start_time': datetime.datetime(2018, 3, 8, 15, 44, 58), 'rate': 5, 'updated_at': datetime.datetime(2017, 4, 10, 19, 5, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c56b012d-7210-48a8-a10b-7b0aad63ee0f', 'job_description': 'Multi-lateral client-server project', 'start_date': datetime.datetime(2015, 2, 17, 10, 55, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 7, 14, 56, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 12, 10, 38, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1ba4e7a7-3e36-49d7-970b-42f16dee70f8', 'end_date': datetime.datetime(2013, 6, 13, 11, 49, 55), 'start_time': datetime.datetime(2016, 10, 4, 5, 21, 43), 'rate': 3, 'updated_at': datetime.datetime(2012, 1, 2, 18, 29, 45), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e0cb2a84-383d-4774-a8b4-eb3355c6892b', 'job_description': 'Optimized systematic process improvement', 'start_date': datetime.datetime(2014, 4, 5, 13, 2, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 4, 9, 7, 41, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 5, 22, 45, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '07dc7c76-e015-490d-9ef7-4618d7856e1d', 'end_date': datetime.datetime(2010, 8, 9, 17, 27, 37), 'start_time': datetime.datetime(2014, 2, 4, 20, 20, 29), 'rate': 5, 'updated_at': datetime.datetime(2010, 8, 18, 15, 23, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Finland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8aa3cbb0-ff14-45da-a65f-6f6e9dc3a58b', 'job_description': 'Organic local monitoring', 'start_date': datetime.datetime(2012, 10, 20, 13, 15, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 8, 1, 14, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 7, 28, 1, 42, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9b79216d-f761-424b-955f-b932587ce86e', 'end_date': datetime.datetime(2019, 9, 12, 9, 24, 3), 'start_time': datetime.datetime(2015, 8, 1, 21, 36, 5), 'rate': 5, 'updated_at': datetime.datetime(2016, 2, 23, 0, 38, 16), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'cf449908-43d7-4071-9629-c2753b3a61bc', 'job_description': 'Implemented reciprocal methodology', 'start_date': datetime.datetime(2014, 10, 9, 22, 59, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 15, 20, 39, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 2, 5, 6, 1, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7a0b2e26-0e79-4acc-9cce-793c180fde3f', 'end_date': datetime.datetime(2018, 2, 2, 23, 58, 57), 'start_time': datetime.datetime(2011, 5, 12, 15, 58, 40), 'rate': 5, 'updated_at': datetime.datetime(2012, 4, 9, 7, 48, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '520c7bc4-65ab-40f1-9590-01e8e57b0316', 'job_description': 'Managed explicit website', 'start_date': datetime.datetime(2018, 10, 31, 4, 50, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 21, 19, 55, 17), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 1, 18, 12, 57, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '994a67ae-7a75-4b27-8447-f1fc64707f95', 'end_date': datetime.datetime(2012, 2, 8, 6, 32, 21), 'start_time': datetime.datetime(2016, 4, 30, 18, 1, 15), 'rate': 4, 'updated_at': datetime.datetime(2019, 10, 6, 4, 20, 48), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '61623dcd-4fdf-430c-8695-141acc12f620', 'job_description': 'Virtual systemic utilisation', 'start_date': datetime.datetime(2013, 7, 29, 20, 48, 26), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 21, 13, 21, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 19, 19, 23, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '04a64c36-a111-42b7-9064-9a09dc9b93dc', 'end_date': datetime.datetime(2012, 4, 7, 16, 48, 59), 'start_time': datetime.datetime(2011, 10, 7, 20, 57, 8), 'rate': 2, 'updated_at': datetime.datetime(2019, 3, 1, 11, 21, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e55538f7-9e2c-4c10-93da-7968139c4e9b', 'job_description': 'Switchable mission-critical architecture', 'start_date': datetime.datetime(2019, 8, 8, 10, 52, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 3, 12, 30, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 24, 19, 14, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24ef4736-8325-4f8c-a1c8-5312edba5d2f', 'end_date': datetime.datetime(2017, 12, 28, 2, 15, 8), 'start_time': datetime.datetime(2014, 9, 26, 13, 55, 55), 'rate': 2, 'updated_at': datetime.datetime(2016, 7, 13, 12, 55, 2), 'job_title': 'CoffeeMaker', 'service_id': 'New Zealand', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '04c48186-a9ba-4a2d-a7c1-196fc806febb', 'job_description': 'Automated eco-centric secured line', 'start_date': datetime.datetime(2017, 10, 20, 13, 35, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 7, 2, 44, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 19, 13, 58, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c64cf638-c6a2-4e62-a6e8-238582e1a991', 'end_date': datetime.datetime(2014, 7, 22, 12, 13, 8), 'start_time': datetime.datetime(2011, 3, 1, 23, 9), 'rate': 2, 'updated_at': datetime.datetime(2017, 4, 10, 4, 10, 54), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c7bbaa51-08dd-4d6b-9b77-e8995fa3b248', 'job_description': 'Open-source intermediate service-desk', 'start_date': datetime.datetime(2015, 12, 20, 10, 34, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 19, 5, 23, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 3, 12, 5, 8, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e4bae51f-d0e4-45e5-9dd1-adc9ba03a60a', 'end_date': datetime.datetime(2011, 3, 13, 21, 55, 4), 'start_time': datetime.datetime(2014, 9, 1, 7, 9, 23), 'rate': 1, 'updated_at': datetime.datetime(2015, 6, 4, 7, 13, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Uruguay', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '60fc01fc-7bda-451c-8294-1b0ed3a1496c', 'job_description': 'Polarised 4th generation functionalities', 'start_date': datetime.datetime(2010, 9, 28, 14, 36, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 11, 12, 18, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 25, 19, 57, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '17c85906-54c3-470e-8765-e15ba47f8d1b', 'end_date': datetime.datetime(2011, 10, 27, 20, 45, 31), 'start_time': datetime.datetime(2017, 9, 26, 13, 42, 34), 'rate': 1, 'updated_at': datetime.datetime(2019, 10, 2, 22, 59, 33), 'job_title': 'CoffeeMaker', 'service_id': 'France', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '778576d4-f52c-4c2e-a078-f709597a917c', 'job_description': 'Grass-roots local time-frame', 'start_date': datetime.datetime(2013, 6, 12, 8, 44, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 5, 7, 12, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 26, 19, 16, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bcda3450-627e-4a5f-9a90-27d056c8706b', 'end_date': datetime.datetime(2010, 10, 11, 9, 47, 39), 'start_time': datetime.datetime(2018, 4, 16, 4, 58, 56), 'rate': 3, 'updated_at': datetime.datetime(2013, 11, 18, 6, 13, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b8d7156f-5c7f-4017-81bd-4bcd806942cf', 'job_description': 'Distributed contextually-based architecture', 'start_date': datetime.datetime(2015, 1, 19, 2, 30, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 9, 2, 9, 10, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 11, 5, 26, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '31ac6fe8-0482-4144-8147-370ad5c94a9c', 'end_date': datetime.datetime(2010, 7, 2, 2, 1, 46), 'start_time': datetime.datetime(2012, 3, 27, 5, 15, 51), 'rate': 1, 'updated_at': datetime.datetime(2012, 3, 29, 10, 46, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Greece', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a284e4f9-2207-4493-9922-d162c439b4f7', 'job_description': 'Down-sized directional database', 'start_date': datetime.datetime(2015, 6, 16, 13, 23, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 2, 24, 6, 55, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 6, 9, 35, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d5e1298-174f-4dfb-9566-c9353b6a3be1', 'end_date': datetime.datetime(2013, 5, 30, 14, 25, 2), 'start_time': datetime.datetime(2014, 8, 2, 0, 47, 37), 'rate': 4, 'updated_at': datetime.datetime(2014, 8, 13, 4, 5, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Costa Rica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '46262b54-a24b-49b7-ab9c-2381505466f6', 'job_description': 'Synergistic optimizing intranet', 'start_date': datetime.datetime(2015, 11, 21, 20, 4, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 22, 7, 50, 15), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 26, 20, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '620a3a15-41da-4734-824d-903d4d1da400', 'end_date': datetime.datetime(2015, 10, 2, 4, 14, 8), 'start_time': datetime.datetime(2018, 2, 21, 2, 47, 36), 'rate': 2, 'updated_at': datetime.datetime(2018, 9, 15, 18, 9, 19), 'job_title': 'CoffeeMaker', 'service_id': 'United States Virgin Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'efeb1b8e-0145-479b-bfd0-24dde81fcff2', 'job_description': 'Seamless bandwidth-monitored function', 'start_date': datetime.datetime(2013, 5, 16, 21, 16, 28), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 30, 4, 44, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 9, 10, 57, 31), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bdc48ccb-0b98-4754-bac4-3a34d088bba3', 'end_date': datetime.datetime(2017, 8, 29, 3, 22, 48), 'start_time': datetime.datetime(2013, 8, 13, 19, 38, 32), 'rate': 1, 'updated_at': datetime.datetime(2011, 11, 23, 10, 50, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Palau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c46773e1-d020-4e60-a1de-cb48caea4f99', 'job_description': 'Integrated 5th generation local area network', 'start_date': datetime.datetime(2010, 3, 18, 7, 9, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 8, 21, 6, 17, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 13, 7, 48, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '36f9c4e7-857d-4895-ae39-446e67b020bd', 'end_date': datetime.datetime(2017, 9, 17, 14, 37, 5), 'start_time': datetime.datetime(2010, 1, 30, 13, 9, 35), 'rate': 1, 'updated_at': datetime.datetime(2012, 6, 17, 7, 11, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3871070e-2740-4205-834e-60bc1b62a8fb', 'job_description': 'Re-contextualized needs-based forecast', 'start_date': datetime.datetime(2016, 3, 24, 5, 32, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 22, 11, 32, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 1, 6, 57, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ad5c1107-f87f-4055-ab3f-ef9f938725ac', 'end_date': datetime.datetime(2018, 12, 31, 12, 55, 5), 'start_time': datetime.datetime(2018, 7, 25, 3, 26, 36), 'rate': 1, 'updated_at': datetime.datetime(2018, 3, 5, 9, 59, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'a475b074-79cb-4aef-b2de-b77336f76439', 'job_description': 'Monitored heuristic strategy', 'start_date': datetime.datetime(2011, 10, 28, 15, 35, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 10, 5, 49, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 6, 24, 22, 32, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'aa84177d-3256-424e-a39a-12d390bd3493', 'end_date': datetime.datetime(2013, 10, 9, 11, 54, 47), 'start_time': datetime.datetime(2012, 8, 16, 23, 22, 58), 'rate': 1, 'updated_at': datetime.datetime(2010, 3, 6, 8, 43, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Syrian Arab Republic', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7a3f72f4-4812-4d97-be9e-6024d3e42cc5', 'job_description': 'Team-oriented tangible matrices', 'start_date': datetime.datetime(2013, 12, 10, 15, 9, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 15, 12, 37, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 15, 3, 55, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a716882-c0b6-4ce7-9fdc-95456a7f7f27', 'end_date': datetime.datetime(2018, 3, 10, 23, 17, 55), 'start_time': datetime.datetime(2015, 2, 28, 9, 47, 48), 'rate': 1, 'updated_at': datetime.datetime(2013, 7, 15, 7, 25, 11), 'job_title': 'CoffeeMaker', 'service_id': 'Equatorial Guinea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'bc75c22e-7d58-4f33-9459-1584b25ad7cd', 'job_description': 'Reverse-engineered logistical knowledge base', 'start_date': datetime.datetime(2018, 3, 2, 20, 30, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 14, 23, 1, 14), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 8, 2, 5, 42, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2fe3d155-6576-47a2-8db2-f59fd5d11369', 'end_date': datetime.datetime(2012, 9, 11, 7, 8, 25), 'start_time': datetime.datetime(2019, 1, 31, 10, 34, 59), 'rate': 1, 'updated_at': datetime.datetime(2016, 9, 26, 22, 24, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '0ae5a186-3415-4b93-87b5-1e2f537de78e', 'job_description': 'Stand-alone attitude-oriented flexibility', 'start_date': datetime.datetime(2014, 7, 31, 0, 26, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 13, 10, 56, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 5, 2, 14, 32, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'dd99992b-2320-4812-be32-ea4827b93359', 'end_date': datetime.datetime(2015, 11, 6, 23, 38, 6), 'start_time': datetime.datetime(2018, 6, 23, 12, 38, 10), 'rate': 3, 'updated_at': datetime.datetime(2011, 8, 8, 9, 49, 32), 'job_title': 'CoffeeMaker', 'service_id': 'Portugal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'ceb35467-eec5-495e-b0c4-ef175672c32b', 'job_description': 'Quality-focused non-volatile analyzer', 'start_date': datetime.datetime(2012, 4, 9, 20, 16, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 5, 28, 1, 54, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 22, 6, 11, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9623c5f7-e680-4cdf-ad77-24249a641c43', 'end_date': datetime.datetime(2019, 7, 17, 19, 47, 41), 'start_time': datetime.datetime(2017, 3, 24, 8, 17, 57), 'rate': 5, 'updated_at': datetime.datetime(2018, 8, 5, 0, 16, 55), 'job_title': 'CoffeeMaker', 'service_id': 'French Polynesia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '56cdbdc3-cebe-42ec-9011-65420e14d799', 'job_description': 'Digitized motivating middleware', 'start_date': datetime.datetime(2012, 12, 8, 12, 45, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 4, 8, 22, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 5, 31, 17, 36, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c75910f3-32bb-4577-a7e4-1846f5345ecc', 'end_date': datetime.datetime(2018, 5, 4, 1, 2, 4), 'start_time': datetime.datetime(2019, 4, 21, 23, 59, 33), 'rate': 5, 'updated_at': datetime.datetime(2010, 2, 2, 15, 11, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '915d3ae6-6204-453f-8b9d-1eebfcddd56b', 'job_description': 'Synchronised 24 hour challenge', 'start_date': datetime.datetime(2010, 10, 11, 23, 41, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 6, 3, 8, 46, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 10, 28, 9, 39, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c32ae4a1-9519-4dae-94db-cca473174a44', 'end_date': datetime.datetime(2011, 8, 27, 21, 51, 39), 'start_time': datetime.datetime(2013, 12, 23, 5, 59, 57), 'rate': 4, 'updated_at': datetime.datetime(2012, 10, 26, 2, 6, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Congo', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '3f16f710-d86d-40ab-b0c2-2dc2e259a586', 'job_description': 'Programmable zero defect productivity', 'start_date': datetime.datetime(2013, 9, 4, 9, 5, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 6, 10, 13, 3, 4), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 12, 13, 23, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a8172181-e47f-4d82-aa87-a09d11359c33', 'end_date': datetime.datetime(2012, 3, 18, 13, 21, 40), 'start_time': datetime.datetime(2018, 5, 7, 17, 51, 54), 'rate': 4, 'updated_at': datetime.datetime(2019, 5, 12, 8, 33, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'acd968b7-62b3-4017-968d-4f02e78f8c95', 'job_description': 'Networked mobile data-warehouse', 'start_date': datetime.datetime(2019, 11, 29, 12, 22, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 4, 26, 14, 2, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 22, 10, 52, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '28c63d11-cbcf-4e94-9bfa-cc02a1333c81', 'end_date': datetime.datetime(2018, 12, 8, 7, 2, 59), 'start_time': datetime.datetime(2019, 1, 16, 17, 56, 4), 'rate': 2, 'updated_at': datetime.datetime(2015, 2, 12, 19, 4, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Macedonia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fa158604-9b06-4c44-a8ae-87bccd54457a', 'job_description': 'De-engineered encompassing parallelism', 'start_date': datetime.datetime(2012, 7, 7, 11, 7, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 16, 10, 10, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 8, 4, 30, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5dc7f25e-0671-445d-96bf-ee6da2519701', 'end_date': datetime.datetime(2011, 6, 29, 21, 13, 18), 'start_time': datetime.datetime(2010, 3, 30, 12, 57, 53), 'rate': 2, 'updated_at': datetime.datetime(2014, 5, 26, 1, 32, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Austria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c8be00b5-c2ad-4a0e-9318-7d644c8f833f', 'job_description': 'Integrated upward-trending protocol', 'start_date': datetime.datetime(2019, 9, 6, 23, 36, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 8, 20, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 7, 14, 17, 16, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e7af6f2-830e-45e4-b4b1-bb8f0d6b0238', 'end_date': datetime.datetime(2018, 9, 2, 6, 41, 55), 'start_time': datetime.datetime(2018, 3, 29, 3, 10, 48), 'rate': 5, 'updated_at': datetime.datetime(2014, 4, 1, 5, 39, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Italy', 'special_note': 'thanks'}
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{'_id': '52df7383-fa01-425f-bb06-004bda266875', 'job_description': 'Implemented foreground interface', 'start_date': datetime.datetime(2014, 6, 23, 23, 41, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 6, 10, 14, 42, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 6, 23, 26, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e0b8a5a2-9bee-4899-b0eb-67b703e019bb', 'end_date': datetime.datetime(2012, 1, 17, 3, 29, 55), 'start_time': datetime.datetime(2011, 3, 11, 1, 2, 2), 'rate': 3, 'updated_at': datetime.datetime(2015, 5, 29, 5, 17, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Korea', 'special_note': 'thanks'}
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{'_id': '96af29c2-0b3c-44c3-b143-bd798884ed2d', 'job_description': 'Expanded directional circuit', 'start_date': datetime.datetime(2015, 4, 22, 6, 43, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 4, 9, 45, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 4, 1, 14, 15, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5aecfe94-591a-4289-a326-7029a8614e16', 'end_date': datetime.datetime(2019, 11, 27, 9, 24, 46), 'start_time': datetime.datetime(2011, 8, 9, 0, 53, 25), 'rate': 4, 'updated_at': datetime.datetime(2016, 12, 26, 2, 55, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Cocos (Keeling) Islands', 'special_note': 'thanks'}
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{'_id': 'fbf028f1-97f8-488c-8850-8e8426853a22', 'job_description': 'Horizontal optimizing architecture', 'start_date': datetime.datetime(2016, 7, 1, 12, 23, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 29, 21, 16, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 11, 19, 23, 33, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '755bf9f7-8546-4a8b-a40d-26fea8321fa4', 'end_date': datetime.datetime(2013, 7, 25, 1, 52, 21), 'start_time': datetime.datetime(2017, 11, 12, 17, 18, 11), 'rate': 1, 'updated_at': datetime.datetime(2012, 3, 31, 21, 46, 7), 'job_title': 'CoffeeMaker', 'service_id': 'Mexico', 'special_note': 'thanks'}
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{'_id': '6bce292b-64c4-4da7-bc8f-0254ca28f781', 'job_description': 'Implemented regional capability', 'start_date': datetime.datetime(2017, 2, 19, 16, 43, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 21, 17, 46, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 8, 18, 9, 16, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e5a99e1e-9e92-4d1e-92c6-be679be85b57', 'end_date': datetime.datetime(2018, 10, 31, 16, 5, 30), 'start_time': datetime.datetime(2014, 7, 26, 11, 35, 24), 'rate': 3, 'updated_at': datetime.datetime(2013, 6, 15, 15, 7, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
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{'_id': '72b09599-c976-451d-97cd-c7285e878579', 'job_description': 'Switchable 6th generation synergy', 'start_date': datetime.datetime(2012, 1, 19, 8, 10, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 12, 19, 12, 35, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 20, 0, 30, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0ff075ca-4f62-42ea-acf4-5b4ae2f52b84', 'end_date': datetime.datetime(2014, 6, 1, 19, 52, 51), 'start_time': datetime.datetime(2010, 3, 18, 12, 0, 56), 'rate': 5, 'updated_at': datetime.datetime(2014, 6, 8, 20, 18, 33), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
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{'_id': '735a5a67-8f84-4191-9b14-3783e83aadb2', 'job_description': 'Face to face homogeneous project', 'start_date': datetime.datetime(2014, 12, 27, 2, 38, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 27, 13, 17, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 18, 14, 38, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f7ae1e65-fc63-4884-8f37-25f6102ca33e', 'end_date': datetime.datetime(2019, 2, 17, 19, 13, 32), 'start_time': datetime.datetime(2017, 7, 22, 5, 34, 12), 'rate': 5, 'updated_at': datetime.datetime(2018, 5, 20, 4, 41, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
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{'_id': '0c9ceae8-487a-48a3-b797-44c109a81595', 'job_description': 'Implemented intermediate array', 'start_date': datetime.datetime(2011, 6, 16, 9, 58, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 1, 3, 3, 18, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 1, 7, 18, 46), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '42abbb85-0cfe-41e6-a5c0-9b845212ee79', 'end_date': datetime.datetime(2017, 5, 8, 17, 49, 59), 'start_time': datetime.datetime(2016, 4, 2, 3, 51, 21), 'rate': 2, 'updated_at': datetime.datetime(2012, 10, 4, 21, 58, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Mayotte', 'special_note': 'thanks'}
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{'_id': 'b3390b2a-00c6-43e6-8d17-088789358eb3', 'job_description': 'Synergistic tangible leverage', 'start_date': datetime.datetime(2014, 5, 2, 16, 57, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 23, 20, 10, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 24, 23, 36, 48), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4d1cdc8c-38a3-4776-9d9f-ba95e6c48986', 'end_date': datetime.datetime(2019, 5, 2, 17, 17, 51), 'start_time': datetime.datetime(2017, 3, 15, 15, 24, 44), 'rate': 1, 'updated_at': datetime.datetime(2017, 10, 27, 9, 52, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Sri Lanka', 'special_note': 'thanks'}
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{'_id': '657e2b82-f9c7-44b7-be6d-3d2f55734d15', 'job_description': 'Customer-focused global pricing structure', 'start_date': datetime.datetime(2016, 2, 25, 13, 6, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 10, 3, 22, 47, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 30, 6, 37, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '284e0ded-6e4a-4e70-8300-96472694902e', 'end_date': datetime.datetime(2019, 4, 11, 7, 38), 'start_time': datetime.datetime(2018, 10, 9, 19, 39, 29), 'rate': 4, 'updated_at': datetime.datetime(2016, 4, 28, 23, 14, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
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{'_id': 'a969eed3-4699-4aa7-8e20-e675c5f332a2', 'job_description': 'Realigned bifurcated collaboration', 'start_date': datetime.datetime(2015, 4, 27, 18, 3, 3), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 9, 5, 10, 43, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 29, 14, 3, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9bb40dc2-c6eb-40e9-8c9a-25c9d6da07c1', 'end_date': datetime.datetime(2014, 11, 6, 10, 3, 19), 'start_time': datetime.datetime(2015, 6, 12, 12, 27, 54), 'rate': 4, 'updated_at': datetime.datetime(2014, 11, 30, 10, 7, 51), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': '8d0091e6-fde5-449a-a709-c60867bcdc8a', 'job_description': 'Up-sized dynamic parallelism', 'start_date': datetime.datetime(2013, 1, 22, 10, 14, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 29, 9, 7, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 7, 29, 5, 27, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e52c8a05-7642-4301-a20c-400ceb4e74f3', 'end_date': datetime.datetime(2019, 5, 28, 11, 12, 19), 'start_time': datetime.datetime(2018, 11, 3, 18, 44, 56), 'rate': 4, 'updated_at': datetime.datetime(2013, 6, 14, 15, 35, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
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{'_id': '5f7d46fd-21bf-48b5-a6e1-4fe08e945b7f', 'job_description': 'Synergized even-keeled encoding', 'start_date': datetime.datetime(2010, 2, 14, 7, 45, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 10, 22, 9, 58, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 4, 11, 8, 17, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f021bad4-b153-4f5c-afce-85d672783972', 'end_date': datetime.datetime(2016, 12, 15, 18, 8, 39), 'start_time': datetime.datetime(2012, 1, 1, 11, 35, 46), 'rate': 3, 'updated_at': datetime.datetime(2014, 9, 29, 13, 50, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
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{'_id': '8bc7d4da-bb0d-431d-aaf7-069682a0ed9e', 'job_description': 'Multi-lateral static monitoring', 'start_date': datetime.datetime(2018, 1, 28, 5, 43, 1), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 8, 16, 27, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 5, 22, 19, 37, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'b18705c4-21d6-4096-92e9-85fc3aaeb503', 'end_date': datetime.datetime(2015, 4, 23, 19, 36, 32), 'start_time': datetime.datetime(2012, 3, 20, 2, 13, 54), 'rate': 5, 'updated_at': datetime.datetime(2019, 10, 25, 21, 36, 29), 'job_title': 'CoffeeMaker', 'service_id': 'Niger', 'special_note': 'thanks'}
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{'_id': '6a621b08-c69f-417e-ae93-772780985621', 'job_description': 'Stand-alone system-worthy algorithm', 'start_date': datetime.datetime(2011, 3, 14, 7, 30, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 21, 3, 23, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 5, 13, 21, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4353f500-0c16-4d4b-a53f-b1ff8878454d', 'end_date': datetime.datetime(2016, 7, 7, 15, 20, 26), 'start_time': datetime.datetime(2012, 10, 22, 1, 30, 13), 'rate': 2, 'updated_at': datetime.datetime(2018, 2, 26, 5, 32, 20), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
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{'_id': '67a861d6-32ab-438f-989f-fc60081c8b28', 'job_description': 'Programmable multi-tasking open architecture', 'start_date': datetime.datetime(2012, 2, 28, 8, 55, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 6, 14, 1, 12, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 12, 12, 4, 44), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '50c14778-466e-463f-87e3-e534764d928a', 'end_date': datetime.datetime(2019, 7, 20, 21, 20, 20), 'start_time': datetime.datetime(2010, 7, 23, 19, 2, 39), 'rate': 3, 'updated_at': datetime.datetime(2011, 7, 16, 8, 25, 57), 'job_title': 'CoffeeMaker', 'service_id': 'British Virgin Islands', 'special_note': 'thanks'}
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{'_id': 'b0c45a12-de0c-4bba-8677-f8447130213d', 'job_description': 'Organic background strategy', 'start_date': datetime.datetime(2018, 12, 3, 20, 40, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 16, 6, 17, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 21, 2, 7, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6a596e54-5394-4126-afe6-eeb28449be8a', 'end_date': datetime.datetime(2010, 9, 13, 0, 8, 57), 'start_time': datetime.datetime(2012, 2, 20, 18, 47, 30), 'rate': 2, 'updated_at': datetime.datetime(2011, 5, 11, 19, 51, 23), 'job_title': 'CoffeeMaker', 'service_id': "Cote d'Ivoire", 'special_note': 'thanks'}
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{'_id': 'becc1348-ff94-4b08-a149-8374b194f939', 'job_description': 'User-friendly bottom-line toolset', 'start_date': datetime.datetime(2016, 11, 23, 19, 17, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 26, 7, 29, 43), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 13, 23, 15, 20), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '63510961-1bc3-4390-96f9-63dac3a2d466', 'end_date': datetime.datetime(2012, 4, 9, 7, 18, 39), 'start_time': datetime.datetime(2012, 1, 1, 9, 2, 27), 'rate': 5, 'updated_at': datetime.datetime(2012, 11, 6, 11, 53, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Cameroon', 'special_note': 'thanks'}
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{'_id': 'e9fb5ba6-8a60-4396-a050-c4e66bf9deb4', 'job_description': 'Profound disintermediate encoding', 'start_date': datetime.datetime(2012, 9, 24, 2, 24, 2), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 13, 19, 41, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 8, 21, 3, 4, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '22901e58-9f01-4d24-b8fd-5815752c8467', 'end_date': datetime.datetime(2014, 11, 16, 20, 6, 39), 'start_time': datetime.datetime(2018, 6, 14, 21, 43, 37), 'rate': 2, 'updated_at': datetime.datetime(2012, 10, 25, 7, 21, 57), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
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{'_id': 'fa20aa28-f6b5-449a-ae91-5f411a0b467f', 'job_description': 'Inverse human-resource productivity', 'start_date': datetime.datetime(2019, 9, 17, 3, 19, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 10, 10, 2, 4, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 8, 27, 4, 30, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4c442c5c-4904-4cb4-af10-d38c45bfb557', 'end_date': datetime.datetime(2012, 12, 13, 20, 14, 2), 'start_time': datetime.datetime(2010, 11, 5, 1, 13, 37), 'rate': 4, 'updated_at': datetime.datetime(2017, 10, 8, 23, 51, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
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{'_id': '55855dfa-f2b0-4112-99ad-a1057a92135d', 'job_description': 'Multi-tiered mobile policy', 'start_date': datetime.datetime(2012, 2, 17, 0, 8, 38), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 8, 4, 9, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 2, 23, 19, 37, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c7581155-1e56-471d-9968-a30e840263a1', 'end_date': datetime.datetime(2017, 10, 12, 15, 20, 49), 'start_time': datetime.datetime(2012, 2, 6, 4, 30, 8), 'rate': 5, 'updated_at': datetime.datetime(2018, 3, 27, 17, 16, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Barbados', 'special_note': 'thanks'}
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{'_id': '9ab710ad-9465-444d-81ac-00341a7c73b5', 'job_description': 'Customer-focused modular array', 'start_date': datetime.datetime(2019, 8, 18, 3, 26, 34), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 30, 10, 56, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 12, 30, 15, 27, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3314abb9-6518-4ec0-ab58-6e01f3c296ce', 'end_date': datetime.datetime(2014, 5, 24, 10, 21, 9), 'start_time': datetime.datetime(2014, 11, 4, 3, 56, 51), 'rate': 4, 'updated_at': datetime.datetime(2015, 7, 4, 21, 30), 'job_title': 'CoffeeMaker', 'service_id': 'Kuwait', 'special_note': 'thanks'}
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{'_id': '303e7c47-3af6-4ba9-af51-a3b0451793e6', 'job_description': 'Digitized web-enabled solution', 'start_date': datetime.datetime(2017, 3, 24, 8, 55, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 31, 4, 1, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 13, 5, 46, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '25150ffd-841e-4e88-bff4-ceeb2d2ff92f', 'end_date': datetime.datetime(2018, 12, 30, 9, 42, 24), 'start_time': datetime.datetime(2013, 7, 14, 12, 24, 8), 'rate': 4, 'updated_at': datetime.datetime(2011, 6, 13, 7, 56, 2), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c78645b7-5d68-45fb-9c39-d4be8336bbf7', 'job_description': 'Balanced tangible moderator', 'start_date': datetime.datetime(2013, 7, 7, 14, 58, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 10, 9, 3, 52, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 4, 3, 48, 35), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6340252f-e5dc-4e69-ae3e-e00e0a1a1c57', 'end_date': datetime.datetime(2019, 1, 31, 1, 47, 11), 'start_time': datetime.datetime(2011, 5, 10, 12, 0, 55), 'rate': 4, 'updated_at': datetime.datetime(2013, 3, 20, 8, 15, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9b8c85a2-b986-4593-8c2e-f156a3c5faf7', 'job_description': 'Grass-roots composite installation', 'start_date': datetime.datetime(2012, 10, 18, 5, 25, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 10, 11, 2, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 22, 7, 13, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c5720b19-ab92-4879-b071-14576438703c', 'end_date': datetime.datetime(2011, 7, 3, 16, 25, 37), 'start_time': datetime.datetime(2019, 2, 1, 20, 27, 55), 'rate': 5, 'updated_at': datetime.datetime(2010, 8, 15, 12, 5, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '39a26fe1-2b0e-48ae-a5d0-cad0e85a7c2a', 'job_description': 'Intuitive cohesive superstructure', 'start_date': datetime.datetime(2017, 7, 26, 16, 54, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 12, 11, 8, 48, 39), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 3, 27, 12, 58, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5b52cf72-15da-489e-b2e5-67d925e26d14', 'end_date': datetime.datetime(2018, 6, 10, 11, 29, 17), 'start_time': datetime.datetime(2013, 10, 1, 18, 22, 5), 'rate': 4, 'updated_at': datetime.datetime(2014, 5, 9, 7, 2, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Singapore', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '833b7fdd-0d50-43de-959e-585331c48b49', 'job_description': 'Synergistic clear-thinking neural-net', 'start_date': datetime.datetime(2015, 12, 2, 20, 39, 27), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 24, 7, 50, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 9, 15, 44, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9fec89f9-a504-41d2-b365-50046807da68', 'end_date': datetime.datetime(2012, 10, 30, 19, 14, 9), 'start_time': datetime.datetime(2013, 8, 8, 9, 42, 24), 'rate': 2, 'updated_at': datetime.datetime(2013, 6, 5, 6, 13, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '2760e6f9-9e37-42f4-8e17-3e2db1fdf689', 'job_description': 'Function-based web-enabled database', 'start_date': datetime.datetime(2018, 3, 26, 12, 41, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 3, 31, 16, 34, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 11, 8, 57, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '251236e8-8842-4bc3-828d-7d0a6bd179b8', 'end_date': datetime.datetime(2010, 12, 4, 15, 56, 28), 'start_time': datetime.datetime(2017, 8, 29, 11, 44, 57), 'rate': 1, 'updated_at': datetime.datetime(2010, 11, 5, 1, 19, 46), 'job_title': 'CoffeeMaker', 'service_id': 'Trinidad and Tobago', 'special_note': 'thanks'}
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{'_id': '9664b0a2-40a0-4177-bf2b-4785548b89f2', 'job_description': 'Streamlined full-range alliance', 'start_date': datetime.datetime(2012, 11, 1, 11, 18, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 30, 20, 2, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 4, 30, 15, 15, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7081176c-076c-45fd-82c9-a6af3ade1338', 'end_date': datetime.datetime(2010, 10, 15, 8, 48, 18), 'start_time': datetime.datetime(2018, 4, 28, 9, 46, 16), 'rate': 2, 'updated_at': datetime.datetime(2012, 1, 2, 5, 41, 54), 'job_title': 'CoffeeMaker', 'service_id': 'Tunisia', 'special_note': 'thanks'}
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{'_id': '302b3bb3-ad1c-42ef-853b-b80cb77abaf3', 'job_description': 'Seamless tertiary definition', 'start_date': datetime.datetime(2018, 11, 22, 2, 54, 23), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 23, 14, 55, 45), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 23, 10, 49, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f1bb2b05-876b-4e9b-b9b2-8fcd859f0136', 'end_date': datetime.datetime(2018, 12, 24, 20, 4, 8), 'start_time': datetime.datetime(2011, 9, 28, 8, 54, 49), 'rate': 5, 'updated_at': datetime.datetime(2010, 7, 31, 19, 49, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Comoros', 'special_note': 'thanks'}
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{'_id': '5f9e2984-3e17-4b12-ac5a-b06d6c63ef35', 'job_description': 'Robust fault-tolerant data-warehouse', 'start_date': datetime.datetime(2012, 4, 12, 9, 27, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 4, 5, 16, 24, 55), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 22, 12, 27, 41), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '62049a39-7cf5-4232-a7af-4ad02bca8cb0', 'end_date': datetime.datetime(2013, 12, 22, 13, 18, 33), 'start_time': datetime.datetime(2017, 11, 7, 4, 2, 3), 'rate': 4, 'updated_at': datetime.datetime(2015, 10, 16, 8, 59, 37), 'job_title': 'CoffeeMaker', 'service_id': 'Rwanda', 'special_note': 'thanks'}
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{'_id': '65505d74-b0ae-4383-a6e3-6009392cb4c8', 'job_description': 'Object-based actuating info-mediaries', 'start_date': datetime.datetime(2013, 5, 10, 16, 17, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 26, 4, 14, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 14, 1, 44, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f55106f9-2128-42b9-a7ef-d87d4c3518b2', 'end_date': datetime.datetime(2017, 1, 25, 3, 33, 46), 'start_time': datetime.datetime(2017, 1, 15, 14, 46, 57), 'rate': 3, 'updated_at': datetime.datetime(2014, 12, 21, 0, 43, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Nigeria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6273c635-9c4a-49db-9ab8-c33bdaebb252', 'job_description': 'Extended systematic Graphic Interface', 'start_date': datetime.datetime(2010, 10, 19, 22, 49, 49), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 6, 1, 14, 13, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 30, 10, 47, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '943770b2-0665-47e6-98fe-90719617b26c', 'end_date': datetime.datetime(2014, 8, 11, 23, 27, 51), 'start_time': datetime.datetime(2011, 3, 11, 4, 44, 19), 'rate': 1, 'updated_at': datetime.datetime(2010, 10, 27, 20, 45, 22), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
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{'_id': 'e115acc3-b886-4d4e-860b-4aa124876a38', 'job_description': 'Reactive background hardware', 'start_date': datetime.datetime(2014, 1, 26, 3, 50, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 1, 23, 17, 42), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 3, 23, 17, 44, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5acb495b-88d2-4436-8171-c9b7d12abf82', 'end_date': datetime.datetime(2014, 6, 17, 8, 16, 34), 'start_time': datetime.datetime(2019, 6, 16, 20, 54, 7), 'rate': 2, 'updated_at': datetime.datetime(2019, 9, 19, 18, 47, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Slovenia', 'special_note': 'thanks'}
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{'_id': '84892385-6645-4299-b422-9cecc16dea57', 'job_description': 'Fully-configurable transitional capacity', 'start_date': datetime.datetime(2014, 2, 19, 0, 44, 25), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 1, 23, 6, 3, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 28, 7, 32, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9b25dad4-3758-4ad9-a6e0-b1382c59f668', 'end_date': datetime.datetime(2018, 10, 6, 16, 46, 47), 'start_time': datetime.datetime(2016, 11, 25, 16, 28, 28), 'rate': 3, 'updated_at': datetime.datetime(2011, 10, 17, 3, 41, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Kiribati', 'special_note': 'thanks'}
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{'_id': '658df860-7e88-4419-bfe3-1036f5d892dc', 'job_description': 'Grass-roots systematic protocol', 'start_date': datetime.datetime(2015, 2, 6, 10, 2, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 3, 8, 33, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 3, 3, 48, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a4e54c11-290e-4588-8b08-4cd2d5004510', 'end_date': datetime.datetime(2013, 9, 4, 8, 58, 42), 'start_time': datetime.datetime(2018, 8, 25, 22, 3, 26), 'rate': 4, 'updated_at': datetime.datetime(2010, 12, 27, 3, 34, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Dominican Republic', 'special_note': 'thanks'}
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{'_id': '60e84ead-1ca9-4714-899c-07fd8efb9238', 'job_description': 'Multi-layered stable circuit', 'start_date': datetime.datetime(2019, 4, 28, 0, 47, 43), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 2, 22, 42, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 21, 0, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bd6cee5c-03a5-4c26-9e00-de12b49c51a1', 'end_date': datetime.datetime(2010, 9, 18, 1, 5, 51), 'start_time': datetime.datetime(2010, 9, 30, 6, 5, 28), 'rate': 1, 'updated_at': datetime.datetime(2011, 10, 14, 16, 45, 44), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
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{'_id': 'b29bf2aa-6d6e-4545-99f1-0207afd58f34', 'job_description': 'Horizontal 24/7 help-desk', 'start_date': datetime.datetime(2011, 2, 27, 18, 50, 54), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 3, 21, 29, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 1, 2, 8, 55, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9a36350b-8c19-44b2-934c-9534790d8898', 'end_date': datetime.datetime(2010, 1, 22, 7, 0, 24), 'start_time': datetime.datetime(2014, 6, 19, 11, 3, 11), 'rate': 5, 'updated_at': datetime.datetime(2013, 6, 21, 11, 23, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Cape Verde', 'special_note': 'thanks'}
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{'_id': '0d0af124-56ec-4a7f-8257-37301f1124f9', 'job_description': 'Innovative optimal moratorium', 'start_date': datetime.datetime(2015, 9, 12, 13, 1, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 8, 2, 6, 49, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 29, 7, 44, 19), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '92a73c7c-0375-40af-8f60-24cadd19b23b', 'end_date': datetime.datetime(2019, 9, 16, 3, 40, 55), 'start_time': datetime.datetime(2014, 6, 8, 1, 47, 30), 'rate': 3, 'updated_at': datetime.datetime(2014, 5, 26, 3, 37, 39), 'job_title': 'CoffeeMaker', 'service_id': 'United States Minor Outlying Islands', 'special_note': 'thanks'}
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{'_id': '2ac09edf-b7ea-4b20-b868-a34a02dfc691', 'job_description': 'Universal multi-tasking database', 'start_date': datetime.datetime(2015, 5, 13, 19, 39, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 1, 19, 9, 12, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 4, 3, 18, 21, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3e3b150b-b21b-4380-89d0-759183a14aa9', 'end_date': datetime.datetime(2016, 9, 23, 12, 28, 33), 'start_time': datetime.datetime(2014, 3, 1, 0, 22, 55), 'rate': 1, 'updated_at': datetime.datetime(2016, 1, 22, 19, 37, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '472a4568-a5dd-485d-99d7-aac4016934c5', 'job_description': 'Team-oriented holistic customer loyalty', 'start_date': datetime.datetime(2013, 9, 25, 17, 54, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 23, 13, 15, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 9, 26, 9, 24, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0925fca4-95fd-4d95-968f-e1ee10f3ee1b', 'end_date': datetime.datetime(2018, 2, 10, 17, 55, 31), 'start_time': datetime.datetime(2014, 2, 23, 7, 31, 30), 'rate': 3, 'updated_at': datetime.datetime(2015, 8, 10, 11, 55, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Aruba', 'special_note': 'thanks'}
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{'_id': '8b8245b8-1d42-4c85-90d4-9512fc33d60f', 'job_description': 'Reactive real-time complexity', 'start_date': datetime.datetime(2015, 1, 8, 17, 53, 14), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 11, 29, 18, 28, 16), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 2, 18, 3, 14, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f4122a67-ba83-48bb-ab3b-0e1deeb3b905', 'end_date': datetime.datetime(2015, 7, 11, 19, 7, 52), 'start_time': datetime.datetime(2018, 3, 4, 2, 14, 46), 'rate': 4, 'updated_at': datetime.datetime(2017, 7, 15, 20, 44, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Senegal', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6e9b3f36-d4b8-4f55-9ac5-f0868d162743', 'job_description': 'Centralized fault-tolerant hub', 'start_date': datetime.datetime(2016, 7, 12, 21, 19, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 8, 7, 14, 36, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 12, 19, 4, 52, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c476ca0f-6a55-4a22-aaf8-3862e1903ea1', 'end_date': datetime.datetime(2017, 5, 23, 10, 8, 44), 'start_time': datetime.datetime(2014, 6, 23, 8, 43, 15), 'rate': 5, 'updated_at': datetime.datetime(2018, 10, 18, 0, 14, 48), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
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{'_id': '0702f1bd-6fac-40c4-9f4a-2fbdf02962eb', 'job_description': 'Vision-oriented context-sensitive capability', 'start_date': datetime.datetime(2019, 7, 12, 16, 41, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 26, 12, 45, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 14, 21, 54, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '333d21ae-ce29-48e8-9152-3344557f15e7', 'end_date': datetime.datetime(2011, 10, 13, 8, 6, 48), 'start_time': datetime.datetime(2017, 4, 26, 8, 7, 22), 'rate': 4, 'updated_at': datetime.datetime(2011, 7, 23, 7, 17, 42), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
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{'_id': '77baee7a-e798-4dcc-b9c4-eec4a23446c9', 'job_description': 'Seamless 3rd generation circuit', 'start_date': datetime.datetime(2018, 9, 13, 14, 9, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 2, 7, 36, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 16, 11, 16, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '04866c75-c2e7-4c16-8edc-8a82bc89647e', 'end_date': datetime.datetime(2017, 9, 16, 6, 39, 38), 'start_time': datetime.datetime(2010, 9, 21, 11, 35, 26), 'rate': 5, 'updated_at': datetime.datetime(2015, 3, 20, 12, 8, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Armenia', 'special_note': 'thanks'}
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{'_id': '25255abd-d1af-4022-be8b-cb9bfe4caeeb', 'job_description': 'Innovative explicit array', 'start_date': datetime.datetime(2010, 2, 5, 21, 7, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 9, 29, 14, 34, 33), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 14, 1, 53, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'baf53913-ac21-4023-92f3-bac85c8555b3', 'end_date': datetime.datetime(2013, 5, 7, 16, 32, 20), 'start_time': datetime.datetime(2015, 3, 22, 17, 52, 2), 'rate': 2, 'updated_at': datetime.datetime(2015, 12, 20, 11, 10, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': 'cdf947b5-1dd3-40a8-8abd-d5362d4169ef', 'job_description': 'Secured zero tolerance installation', 'start_date': datetime.datetime(2010, 8, 12, 14, 47, 16), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 1, 0, 29, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 25, 0, 26, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '424e4203-efef-488f-a158-4cc271944343', 'end_date': datetime.datetime(2016, 10, 31, 5, 31, 37), 'start_time': datetime.datetime(2015, 2, 8, 3, 7, 54), 'rate': 2, 'updated_at': datetime.datetime(2019, 7, 21, 6, 26, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
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{'_id': '034fa896-dd3b-4fc6-9802-e451ba6cba0a', 'job_description': 'Synergized maximized attitude', 'start_date': datetime.datetime(2012, 1, 13, 7, 13, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 8, 17, 7, 37, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 2, 20, 6, 15, 52), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7c4541d8-b499-41b7-b857-b98e6a6b27a5', 'end_date': datetime.datetime(2013, 1, 28, 23, 51, 22), 'start_time': datetime.datetime(2017, 3, 22, 6, 55, 57), 'rate': 2, 'updated_at': datetime.datetime(2011, 6, 17, 10, 24, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Ukraine', 'special_note': 'thanks'}
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{'_id': 'a89a3d60-7554-4306-b06a-f7a27601f72e', 'job_description': 'Expanded intangible knowledge user', 'start_date': datetime.datetime(2017, 7, 1, 13, 33, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 6, 7, 0, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 26, 2, 4, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'acc6ee90-3a01-486b-89f2-6f1ef2389790', 'end_date': datetime.datetime(2015, 10, 8, 0, 42, 57), 'start_time': datetime.datetime(2012, 1, 5, 22, 37, 27), 'rate': 3, 'updated_at': datetime.datetime(2012, 7, 29, 22, 57, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Georgia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f8f83e3e-a52d-4715-b7fa-de9d019a6945', 'job_description': 'Adaptive grid-enabled moratorium', 'start_date': datetime.datetime(2019, 1, 27, 18, 15, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 8, 14, 22, 47, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 11, 7, 8, 49, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '54c2b60e-aa45-446d-ae61-24d8559c3b73', 'end_date': datetime.datetime(2014, 11, 2, 16, 19, 24), 'start_time': datetime.datetime(2015, 2, 11, 10, 59, 22), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 23, 9, 33, 53), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Lucia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c7151fdd-4c7d-4fc2-b69f-1f92ca70324e', 'job_description': 'Integrated mobile interface', 'start_date': datetime.datetime(2015, 2, 9, 14, 29, 19), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 23, 13, 30, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 3, 2, 22, 42, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '996f2bdf-6ed6-43db-ada6-96a5ad6fbeb2', 'end_date': datetime.datetime(2012, 5, 31, 19, 40, 26), 'start_time': datetime.datetime(2017, 8, 19, 7, 20, 18), 'rate': 3, 'updated_at': datetime.datetime(2014, 7, 4, 15, 5, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'beb31f09-127d-448e-abce-52deaca0542d', 'job_description': 'Enterprise-wide 5th generation circuit', 'start_date': datetime.datetime(2016, 9, 21, 13, 43, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 11, 0, 39, 44), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 30, 19, 23, 10), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9f325202-006e-40a8-9bb4-c0a5de81cdb3', 'end_date': datetime.datetime(2015, 3, 19, 23, 15, 9), 'start_time': datetime.datetime(2018, 7, 4, 2, 7, 46), 'rate': 1, 'updated_at': datetime.datetime(2013, 3, 21, 21, 29, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Turkey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd3bc269b-6ce5-412b-a989-2450e663b319', 'job_description': 'Implemented full-range help-desk', 'start_date': datetime.datetime(2018, 12, 30, 15, 22, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 5, 2, 7, 3, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 10, 17, 1, 23, 39), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '47004029-b0ba-4d89-98b8-02692376d687', 'end_date': datetime.datetime(2018, 3, 28, 13, 33, 37), 'start_time': datetime.datetime(2011, 10, 17, 11, 3, 39), 'rate': 3, 'updated_at': datetime.datetime(2015, 5, 18, 13, 53, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Libyan Arab Jamahiriya', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f82e6903-6ac7-4496-aebe-5e8e18f799f7', 'job_description': 'Fundamental demand-driven secured line', 'start_date': datetime.datetime(2017, 3, 29, 17, 27, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 11, 30, 0, 20, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 10, 3, 0, 53, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9e15d5b6-4320-4af3-bd07-f90beec8e574', 'end_date': datetime.datetime(2015, 12, 9, 7, 10, 34), 'start_time': datetime.datetime(2011, 10, 1, 21, 7, 6), 'rate': 1, 'updated_at': datetime.datetime(2011, 1, 30, 16, 23, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Canada', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5b7c7d92-be9e-4daf-be52-bb44b87f40e2', 'job_description': 'Ameliorated solution-oriented budgetary management', 'start_date': datetime.datetime(2010, 5, 3, 7, 39, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 22, 22, 3, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 8, 10, 17, 53), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'da46488f-acc1-4dd1-9df6-adacd4bb1e9d', 'end_date': datetime.datetime(2018, 5, 22, 3, 46), 'start_time': datetime.datetime(2015, 1, 4, 3, 54, 13), 'rate': 1, 'updated_at': datetime.datetime(2013, 11, 19, 6, 13, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Malta', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7c12d9d6-1fcf-4657-872d-ab15a59d75ef', 'job_description': 'Switchable analyzing flexibility', 'start_date': datetime.datetime(2012, 12, 11, 19, 59, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 3, 29, 5, 5, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 12, 2, 4, 17, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0ebc71a0-89b4-442e-bd91-d751f7a0eb81', 'end_date': datetime.datetime(2016, 1, 25, 11, 0, 59), 'start_time': datetime.datetime(2018, 8, 4, 20, 6, 42), 'rate': 3, 'updated_at': datetime.datetime(2013, 10, 13, 10, 31, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Cook Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '893c9e63-b7f2-410f-9a1b-9aadbd76b475', 'job_description': 'Networked disintermediate intranet', 'start_date': datetime.datetime(2012, 5, 1, 7, 39, 21), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 2, 14, 17, 25, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 1, 30, 16, 42, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c01b1542-1c73-493f-9278-150a981ae2fb', 'end_date': datetime.datetime(2017, 8, 29, 21, 15, 44), 'start_time': datetime.datetime(2012, 7, 15, 18, 5, 44), 'rate': 2, 'updated_at': datetime.datetime(2018, 8, 5, 5, 37, 15), 'job_title': 'CoffeeMaker', 'service_id': 'Burkina Faso', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e8e8aa5a-cce9-48d3-8d7e-8ce8c0ed9b0c', 'job_description': 'Multi-lateral bi-directional installation', 'start_date': datetime.datetime(2016, 9, 9, 9, 52, 56), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 6, 10, 28, 48), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 26, 1, 8, 55), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2516571a-2799-4ff6-81e6-d9f6f8bad55a', 'end_date': datetime.datetime(2011, 7, 20, 11, 37, 44), 'start_time': datetime.datetime(2014, 2, 10, 21, 26, 10), 'rate': 5, 'updated_at': datetime.datetime(2011, 4, 29, 5, 57, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fc57e628-c182-419c-bfd1-dd6ba77a215a', 'job_description': 'Front-line clear-thinking website', 'start_date': datetime.datetime(2016, 12, 4, 2, 17, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 10, 3, 56, 56), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 1, 13, 15, 47), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0ca5b5de-e5b2-40af-b819-b45418f8cafa', 'end_date': datetime.datetime(2019, 10, 27, 1, 25, 21), 'start_time': datetime.datetime(2014, 12, 24, 1, 48), 'rate': 3, 'updated_at': datetime.datetime(2015, 9, 13, 1, 43, 45), 'job_title': 'CoffeeMaker', 'service_id': 'American Samoa', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '88fcdda1-95a4-4d5f-a13a-ab35b58d8c8d', 'job_description': 'Profit-focused interactive productivity', 'start_date': datetime.datetime(2012, 1, 31, 23, 37, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 12, 1, 1, 40, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 4, 6, 51, 9), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a73d7237-04e3-4209-8de4-b7a20dee6501', 'end_date': datetime.datetime(2018, 3, 2, 22, 41, 39), 'start_time': datetime.datetime(2015, 7, 24, 1, 25, 25), 'rate': 4, 'updated_at': datetime.datetime(2014, 8, 11, 23, 11, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Denmark', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8c662610-b95f-406a-b7e4-872896a0a653', 'job_description': 'Pre-emptive systemic frame', 'start_date': datetime.datetime(2013, 4, 28, 18, 32, 33), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 6, 16, 13, 46, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 2, 1, 23, 6, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '2de3d343-5d5e-4995-9576-6ad99e8ca1b9', 'end_date': datetime.datetime(2015, 3, 16, 15, 43, 51), 'start_time': datetime.datetime(2011, 11, 17, 3, 56, 25), 'rate': 1, 'updated_at': datetime.datetime(2018, 11, 16, 12, 28, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Norway', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '149e6f9b-b001-4dae-87be-0d15c3b645be', 'job_description': 'Down-sized high-level moratorium', 'start_date': datetime.datetime(2018, 7, 29, 6, 21, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 7, 8, 17, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 12, 7, 21, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7874205f-75e8-4923-b92a-0b52ba32f2cb', 'end_date': datetime.datetime(2018, 3, 7, 2, 39, 44), 'start_time': datetime.datetime(2016, 2, 1, 21, 23, 37), 'rate': 3, 'updated_at': datetime.datetime(2018, 4, 22, 13, 21, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Belarus', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c3b2462b-8b23-46e4-b910-026c94ab08a2', 'job_description': 'Reverse-engineered leading edge algorithm', 'start_date': datetime.datetime(2018, 5, 15, 16, 27, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 16, 11, 29, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 5, 2, 8, 12, 30), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '17cffdd7-82a0-4c54-bfcf-aa1a8c75fff5', 'end_date': datetime.datetime(2016, 3, 2, 3, 19, 47), 'start_time': datetime.datetime(2010, 9, 8, 0, 43, 32), 'rate': 4, 'updated_at': datetime.datetime(2018, 9, 1, 2, 54, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Hong Kong', 'special_note': 'thanks'}
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{'_id': 'b268e9dd-7cca-4ce0-976d-5acfb4e88fa6', 'job_description': 'Progressive multimedia challenge', 'start_date': datetime.datetime(2015, 6, 30, 19, 58, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 5, 4, 2, 30, 30), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 9, 5, 8, 17, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '96e8c983-83a5-4afb-926c-832f073f62d8', 'end_date': datetime.datetime(2012, 12, 18, 13, 39, 46), 'start_time': datetime.datetime(2015, 1, 17, 7, 42, 55), 'rate': 1, 'updated_at': datetime.datetime(2018, 11, 14, 17, 18, 10), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9d7ebfa4-6e31-454f-a994-7614c175e0d6', 'job_description': 'Innovative contextually-based model', 'start_date': datetime.datetime(2014, 8, 23, 5, 10, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 7, 2, 13, 49, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 5, 17, 3, 50, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '03f46caa-38df-43db-8536-7cfe328f8678', 'end_date': datetime.datetime(2018, 11, 5, 20, 45, 54), 'start_time': datetime.datetime(2014, 8, 8, 17, 58, 26), 'rate': 3, 'updated_at': datetime.datetime(2010, 7, 5, 4, 20, 33), 'job_title': 'CoffeeMaker', 'service_id': 'Marshall Islands', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '533b559b-55f0-4f9d-b637-3800f40cfa0a', 'job_description': 'Self-enabling exuding Graphical User Interface', 'start_date': datetime.datetime(2014, 2, 3, 17, 52), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 11, 22, 40, 29), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 9, 12, 16, 14, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '07247b7f-b603-4ef6-8cdf-1f6c167524ad', 'end_date': datetime.datetime(2013, 9, 26, 14, 46, 16), 'start_time': datetime.datetime(2010, 10, 25, 11, 35, 21), 'rate': 2, 'updated_at': datetime.datetime(2012, 8, 18, 10, 14, 34), 'job_title': 'CoffeeMaker', 'service_id': 'Bahamas', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'e75b8ecc-629f-45ce-b714-1dbea367812d', 'job_description': 'Configurable optimizing process improvement', 'start_date': datetime.datetime(2016, 6, 24, 17, 32, 17), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 5, 30, 12, 17, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 3, 13, 44, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ea32c397-925a-4bfb-84e3-50020be05fa2', 'end_date': datetime.datetime(2011, 5, 22, 22, 1, 40), 'start_time': datetime.datetime(2016, 8, 7, 9, 54, 12), 'rate': 2, 'updated_at': datetime.datetime(2012, 11, 4, 12, 56, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Palestinian Territory', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd23c7d88-c6a5-4557-9806-1ae45be93670', 'job_description': 'Organic web-enabled function', 'start_date': datetime.datetime(2017, 12, 31, 15, 18, 20), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 8, 28, 7, 58, 40), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 14, 18, 26, 32), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8e333d03-99b4-4163-abda-94ad5e76b56a', 'end_date': datetime.datetime(2015, 11, 25, 21, 37, 24), 'start_time': datetime.datetime(2013, 11, 11, 21, 50), 'rate': 5, 'updated_at': datetime.datetime(2012, 2, 21, 5, 16, 35), 'job_title': 'CoffeeMaker', 'service_id': 'Cambodia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b7b43a54-3b38-4015-97f2-9e977b080e66', 'job_description': 'Proactive leading edge workforce', 'start_date': datetime.datetime(2010, 8, 13, 7, 17, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 3, 2, 0, 47, 54), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 4, 25, 4, 59, 37), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e9d1dadf-07a4-4a92-b9a1-144968e0348c', 'end_date': datetime.datetime(2016, 6, 3, 4, 47, 1), 'start_time': datetime.datetime(2012, 10, 29, 8, 43, 17), 'rate': 5, 'updated_at': datetime.datetime(2011, 1, 6, 11, 31, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Eritrea', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81186725-63cb-451c-813d-d3c07a2ff35c', 'job_description': 'Automated maximized paradigm', 'start_date': datetime.datetime(2017, 3, 27, 4, 5, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 3, 27, 10, 39, 22), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 5, 7, 9, 32, 14), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '08b7d02c-20b5-4f8c-8313-6e8704a9c631', 'end_date': datetime.datetime(2018, 1, 2, 8, 33, 2), 'start_time': datetime.datetime(2012, 3, 3, 15, 38, 3), 'rate': 3, 'updated_at': datetime.datetime(2017, 6, 20, 20, 46, 6), 'job_title': 'CoffeeMaker', 'service_id': 'Bosnia and Herzegovina', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b5b35d09-31fc-45ff-b828-612347218dd5', 'job_description': 'Enhanced assymetric structure', 'start_date': datetime.datetime(2018, 6, 12, 1, 3, 47), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 3, 21, 23, 19, 3), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 3, 6, 14, 2, 11), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7b07be08-fe8f-4769-92f8-05bd211d44f4', 'end_date': datetime.datetime(2010, 6, 1, 18, 8, 8), 'start_time': datetime.datetime(2012, 6, 10, 5, 30, 3), 'rate': 1, 'updated_at': datetime.datetime(2013, 12, 17, 1, 8, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'afb04c58-c9b2-4e3d-a6e2-bb85d398c84a', 'job_description': 'Upgradable analyzing concept', 'start_date': datetime.datetime(2015, 6, 7, 7, 40, 18), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 8, 9, 7, 31, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 7, 6, 5, 12, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bbae1ff0-31ce-49e6-8571-549e262d001e', 'end_date': datetime.datetime(2017, 10, 8, 22, 34), 'start_time': datetime.datetime(2014, 9, 20, 11, 35, 40), 'rate': 2, 'updated_at': datetime.datetime(2014, 2, 18, 19, 7, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'b0b656b1-3d67-4e4d-91f2-c24fdfb5b641', 'job_description': 'Profound maximized focus group', 'start_date': datetime.datetime(2017, 6, 15, 0, 7, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 1, 13, 9, 50, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 7, 18, 0, 16, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '3f278741-5885-4f5d-a936-2bb8585fa388', 'end_date': datetime.datetime(2018, 4, 16, 8, 53, 45), 'start_time': datetime.datetime(2016, 7, 22, 4, 37, 23), 'rate': 2, 'updated_at': datetime.datetime(2012, 1, 19, 2, 15, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Mali', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '02e225fd-186c-4b6f-9bbd-84e14348821d', 'job_description': 'Organized fault-tolerant orchestration', 'start_date': datetime.datetime(2014, 4, 13, 2, 43, 24), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 4, 29, 15, 52, 38), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 1, 9, 4, 19, 56), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd270ca7a-9585-4275-9707-e25c3667677f', 'end_date': datetime.datetime(2016, 2, 8, 0, 57, 1), 'start_time': datetime.datetime(2016, 12, 25, 9, 17, 5), 'rate': 1, 'updated_at': datetime.datetime(2019, 3, 15, 8, 40), 'job_title': 'CoffeeMaker', 'service_id': 'Malawi', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '6a124a62-ec21-4d14-be34-a5a910496a22', 'job_description': 'Phased regional migration', 'start_date': datetime.datetime(2018, 6, 18, 4, 48, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 4, 18, 16, 41, 13), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2016, 7, 25, 4, 43, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '24a3f7fd-33ac-42cb-abe8-1bca73d750d6', 'end_date': datetime.datetime(2011, 7, 12, 1, 2, 41), 'start_time': datetime.datetime(2011, 9, 2, 0, 58, 3), 'rate': 5, 'updated_at': datetime.datetime(2012, 8, 11, 13, 59, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '62b56164-6885-4d9b-b64d-f658b76ec73d', 'job_description': 'Configurable secondary emulation', 'start_date': datetime.datetime(2012, 9, 22, 14, 17, 13), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 1, 22, 7, 37, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 12, 18, 17, 43, 54), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ee7549a9-55c5-425c-8942-33f6935c91c8', 'end_date': datetime.datetime(2010, 9, 2, 4, 3, 43), 'start_time': datetime.datetime(2016, 1, 21, 3, 6, 49), 'rate': 2, 'updated_at': datetime.datetime(2018, 7, 27, 9, 2, 10), 'job_title': 'CoffeeMaker', 'service_id': 'British Indian Ocean Territory (Chagos Archipelago)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de3e1bec-a942-4077-8ee3-417dbc32bce9', 'job_description': 'Total impactful installation', 'start_date': datetime.datetime(2015, 7, 5, 4, 11, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 10, 25, 10, 2, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 19, 12, 42, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8fbde29e-f892-452f-b9f5-e4cd78d909b9', 'end_date': datetime.datetime(2015, 6, 23, 0, 59), 'start_time': datetime.datetime(2012, 9, 17, 7, 33, 37), 'rate': 4, 'updated_at': datetime.datetime(2015, 7, 1, 12, 47, 38), 'job_title': 'CoffeeMaker', 'service_id': 'Tokelau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'de1961a9-1a54-454e-9759-586a0d8cfa30', 'job_description': 'Profit-focused local productivity', 'start_date': datetime.datetime(2013, 11, 13, 15, 1, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 11, 12, 15, 50, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 6, 28, 4, 30, 45), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bdb87132-eb52-46bd-abab-7a4a394ba55f', 'end_date': datetime.datetime(2017, 12, 5, 5, 40), 'start_time': datetime.datetime(2014, 10, 7, 7, 1, 33), 'rate': 5, 'updated_at': datetime.datetime(2019, 10, 17, 15, 40, 41), 'job_title': 'CoffeeMaker', 'service_id': 'Kazakhstan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '88334675-6c1f-4e93-aa47-0e8d6938292d', 'job_description': 'Synergized upward-trending data-warehouse', 'start_date': datetime.datetime(2018, 5, 16, 15, 17, 58), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 7, 23, 1, 27, 50), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 3, 21, 23, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'eedae785-39ea-44fe-8791-b7111f07ae55', 'end_date': datetime.datetime(2018, 8, 30, 5, 31, 18), 'start_time': datetime.datetime(2016, 2, 22, 10, 18, 33), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 7, 8, 26, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Switzerland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'fb9457de-8cbd-4e8d-8cb5-4442facbedd8', 'job_description': 'Seamless 5th generation circuit', 'start_date': datetime.datetime(2012, 5, 17, 20, 28, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 14, 12, 14, 49), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 8, 15, 4, 58, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bb274885-2721-4e79-9d95-8e5b71516bb7', 'end_date': datetime.datetime(2010, 1, 30, 16, 28, 31), 'start_time': datetime.datetime(2019, 6, 25, 17, 41, 6), 'rate': 5, 'updated_at': datetime.datetime(2016, 1, 17, 12, 51, 45), 'job_title': 'CoffeeMaker', 'service_id': 'Norfolk Island', 'special_note': 'thanks'}
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{'_id': '7483513b-9114-485f-b2a4-dd3d80223440', 'job_description': 'Face to face 5th generation knowledge user', 'start_date': datetime.datetime(2015, 2, 26, 23, 32, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 5, 27, 8, 20, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 7, 1, 47, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5c8cccc9-1ff6-4bc9-8a46-ba0f064671bd', 'end_date': datetime.datetime(2012, 2, 27, 23, 10, 21), 'start_time': datetime.datetime(2017, 8, 29, 17, 46, 30), 'rate': 1, 'updated_at': datetime.datetime(2014, 10, 7, 23, 25, 57), 'job_title': 'CoffeeMaker', 'service_id': 'United Kingdom', 'special_note': 'thanks'}
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{'_id': '88e31d98-8803-40c7-9176-25033aa30385', 'job_description': 'Progressive contextually-based hub', 'start_date': datetime.datetime(2019, 8, 15, 12, 2, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 5, 21, 12, 7, 25), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 2, 12, 20, 17, 49), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1cc2efe5-89b4-4ab9-838c-8ba788d4e7cb', 'end_date': datetime.datetime(2011, 7, 13, 8, 24), 'start_time': datetime.datetime(2013, 5, 27, 18, 17, 4), 'rate': 1, 'updated_at': datetime.datetime(2017, 9, 27, 16, 34, 47), 'job_title': 'CoffeeMaker', 'service_id': 'Belize', 'special_note': 'thanks'}
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{'_id': 'df3290b9-4a81-4f12-bec6-8282309eecf8', 'job_description': 'Visionary 6th generation intranet', 'start_date': datetime.datetime(2011, 7, 16, 20, 4, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 8, 1, 11, 6, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 5, 12, 16, 2), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4ca0cdd1-5be7-4102-bcc2-6fb514b31a18', 'end_date': datetime.datetime(2017, 6, 15, 21, 20, 9), 'start_time': datetime.datetime(2015, 8, 29, 2, 20, 45), 'rate': 3, 'updated_at': datetime.datetime(2015, 1, 23, 13, 2, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Zambia', 'special_note': 'thanks'}
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{'_id': 'b487ce04-f6e4-4944-b8d3-f01375383422', 'job_description': 'Extended bifurcated service-desk', 'start_date': datetime.datetime(2014, 4, 1, 10, 43, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 5, 16, 57, 57), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 26, 19, 20, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'cbb419f4-2e4f-49d6-a326-4a9a6b8cd1c5', 'end_date': datetime.datetime(2019, 4, 18, 2, 57, 38), 'start_time': datetime.datetime(2017, 10, 12, 4, 38, 10), 'rate': 5, 'updated_at': datetime.datetime(2013, 12, 19, 21, 44, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9654ea52-e0c6-4722-9485-0cf8e0e7b6b2', 'job_description': 'Multi-lateral systematic benchmark', 'start_date': datetime.datetime(2012, 11, 5, 22, 10, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 1, 21, 0, 32, 24), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 6, 3, 11, 16, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '65848670-8266-40fa-bd1a-4bccc932fe33', 'end_date': datetime.datetime(2018, 1, 26, 16, 32, 46), 'start_time': datetime.datetime(2014, 6, 19, 2, 30, 2), 'rate': 5, 'updated_at': datetime.datetime(2018, 12, 28, 21, 23, 13), 'job_title': 'CoffeeMaker', 'service_id': 'Montenegro', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'f708b063-7521-4fe7-acaf-67b75c1a4881', 'job_description': 'Innovative contextually-based solution', 'start_date': datetime.datetime(2014, 5, 16, 7, 45, 10), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 2, 27, 14, 48, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 7, 2, 20, 53, 18), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bfe31de4-cfe0-4dec-b510-02b93032c114', 'end_date': datetime.datetime(2018, 5, 29, 16, 37, 37), 'start_time': datetime.datetime(2017, 11, 3, 11, 26, 8), 'rate': 1, 'updated_at': datetime.datetime(2011, 1, 10, 5, 34, 21), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
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{'_id': '39a012cf-8715-45e0-8ec9-d5d7d78ddd7a', 'job_description': 'Configurable 3rd generation architecture', 'start_date': datetime.datetime(2019, 9, 12, 6, 49, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 2, 5, 17, 0, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 11, 22, 15, 45, 12), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ad671e45-ea33-4692-be68-ea393ef77bf8', 'end_date': datetime.datetime(2016, 7, 23, 15, 25, 27), 'start_time': datetime.datetime(2017, 10, 16, 8, 17, 3), 'rate': 4, 'updated_at': datetime.datetime(2015, 8, 4, 1, 56, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Taiwan', 'special_note': 'thanks'}
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{'_id': '6ef7f629-cdbb-40a4-98d9-200b47b208ef', 'job_description': 'Persevering eco-centric knowledge user', 'start_date': datetime.datetime(2018, 9, 12, 7, 29, 44), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 12, 20, 14, 51, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 10, 5, 12, 53, 26), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd47f535f-6c00-4976-9062-9e423f62153a', 'end_date': datetime.datetime(2019, 3, 8, 1, 18, 31), 'start_time': datetime.datetime(2011, 8, 20, 22, 38, 9), 'rate': 4, 'updated_at': datetime.datetime(2014, 9, 15, 4, 17, 18), 'job_title': 'CoffeeMaker', 'service_id': 'Christmas Island', 'special_note': 'thanks'}
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{'_id': '50fd3236-5c45-4b79-9fe1-ef84fc6853ba', 'job_description': 'Synergized 24 hour archive', 'start_date': datetime.datetime(2016, 12, 29, 20, 43, 32), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 11, 11, 12, 8, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 24, 8, 4, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd11e3a60-bf21-47b0-bd35-5e980b0b2a88', 'end_date': datetime.datetime(2013, 5, 23, 1, 16, 7), 'start_time': datetime.datetime(2010, 5, 5, 5, 1, 56), 'rate': 2, 'updated_at': datetime.datetime(2017, 1, 12, 6, 50, 12), 'job_title': 'CoffeeMaker', 'service_id': 'Benin', 'special_note': 'thanks'}
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{'_id': 'ca82f5eb-41d6-4e46-8087-d822874b526e', 'job_description': 'Fundamental non-volatile Graphical User Interface', 'start_date': datetime.datetime(2019, 3, 18, 13, 3, 7), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 12, 25, 0, 59, 41), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 11, 9, 14, 31, 4), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '99e13acc-9ae2-4aa8-af4d-835bf0704351', 'end_date': datetime.datetime(2012, 12, 26, 10, 58, 45), 'start_time': datetime.datetime(2012, 11, 27, 6, 16, 50), 'rate': 1, 'updated_at': datetime.datetime(2016, 10, 2, 11, 37, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Zimbabwe', 'special_note': 'thanks'}
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{'_id': 'b4711ef4-bf9f-4ed3-8939-0ebc5715062b', 'job_description': 'Sharable zero tolerance encryption', 'start_date': datetime.datetime(2014, 11, 27, 13, 14, 9), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 2, 15, 21, 8, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 9, 13, 20, 33, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ebe1e2f4-c48d-4dad-8288-575ea24efc52', 'end_date': datetime.datetime(2017, 5, 19, 0, 56, 10), 'start_time': datetime.datetime(2016, 7, 3, 8, 5, 31), 'rate': 3, 'updated_at': datetime.datetime(2018, 9, 3, 13, 26, 5), 'job_title': 'CoffeeMaker', 'service_id': 'United Arab Emirates', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '03a78853-28d9-47a3-85c6-87e89d1f5be7', 'job_description': 'Stand-alone tangible flexibility', 'start_date': datetime.datetime(2012, 8, 6, 22, 34, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 4, 1, 13, 48, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 1, 19, 17, 6), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '604f9700-1182-4e3a-a5a6-32134f5b97d3', 'end_date': datetime.datetime(2017, 7, 17, 6, 43, 35), 'start_time': datetime.datetime(2017, 8, 24, 20, 42, 57), 'rate': 4, 'updated_at': datetime.datetime(2019, 5, 21, 14, 12, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Faroe Islands', 'special_note': 'thanks'}
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{'_id': '0f7c3ef6-a895-47b7-833e-496b23cc7477', 'job_description': 'De-engineered client-server implementation', 'start_date': datetime.datetime(2016, 12, 6, 7, 27, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 3, 25, 2, 14, 27), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 2, 18, 29, 43), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '6fa2299d-3434-4e0a-8ec6-6efb8ef1b886', 'end_date': datetime.datetime(2016, 5, 20, 12, 54, 50), 'start_time': datetime.datetime(2019, 10, 26, 2, 7, 31), 'rate': 5, 'updated_at': datetime.datetime(2019, 11, 28, 7, 54, 8), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9b8e9386-8f6b-4a33-b92e-3bdffb741629', 'job_description': 'Reactive web-enabled portal', 'start_date': datetime.datetime(2010, 7, 22, 3, 34, 41), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 6, 4, 15, 16, 46), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 4, 21, 22, 16, 3), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5713efd3-4ba8-4584-a12b-adef9c5c45a6', 'end_date': datetime.datetime(2014, 6, 29, 0, 39, 50), 'start_time': datetime.datetime(2015, 9, 22, 17, 34, 26), 'rate': 2, 'updated_at': datetime.datetime(2016, 3, 19, 12, 49, 17), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '916c5ec5-8380-40ce-8702-a4cc5f4527d3', 'job_description': 'Team-oriented radical firmware', 'start_date': datetime.datetime(2018, 7, 19, 19, 28, 8), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 10, 22, 5, 41, 5), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 20, 3, 35, 58), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '8f3b5226-2c56-42cb-9c08-aded9b04dd95', 'end_date': datetime.datetime(2017, 4, 20, 7, 4, 12), 'start_time': datetime.datetime(2013, 5, 20, 5, 59, 56), 'rate': 1, 'updated_at': datetime.datetime(2014, 7, 2, 17, 12, 25), 'job_title': 'CoffeeMaker', 'service_id': 'Pakistan', 'special_note': 'thanks'}
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{'_id': 'a636abb3-d753-4320-beb2-ce1d0c59412d', 'job_description': 'Configurable maximized algorithm', 'start_date': datetime.datetime(2018, 2, 24, 9, 50, 57), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 7, 4, 2, 33, 7), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 20, 22, 7, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '1cdd3714-b3c6-45c5-b767-03f27126f3cd', 'end_date': datetime.datetime(2013, 7, 6, 13, 48, 55), 'start_time': datetime.datetime(2016, 10, 10, 8, 53, 8), 'rate': 1, 'updated_at': datetime.datetime(2014, 10, 2, 18, 33, 50), 'job_title': 'CoffeeMaker', 'service_id': 'Timor-Leste', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'c629ab2c-26ad-4807-a4ce-19adc9109970', 'job_description': 'Multi-channelled user-facing data-warehouse', 'start_date': datetime.datetime(2011, 4, 21, 2, 10, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 9, 8, 23, 45, 1), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 7, 3, 9, 57, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ebafeca7-db35-45da-b857-c99525f2b837', 'end_date': datetime.datetime(2012, 8, 9, 22, 49, 16), 'start_time': datetime.datetime(2012, 6, 27, 17, 13, 31), 'rate': 4, 'updated_at': datetime.datetime(2017, 12, 11, 8, 42, 23), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritania', 'special_note': 'thanks'}
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{'_id': '319544c6-7581-48d9-850d-ed3ee9b941ab', 'job_description': 'Function-based bottom-line hub', 'start_date': datetime.datetime(2015, 10, 12, 16, 23, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 11, 12, 3, 40, 47), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 14, 23, 28, 51), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'bcf657be-4409-4127-8d91-2da3883647f5', 'end_date': datetime.datetime(2017, 11, 14, 17, 45, 36), 'start_time': datetime.datetime(2017, 5, 16, 13, 31, 29), 'rate': 2, 'updated_at': datetime.datetime(2013, 4, 19, 12, 29, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Uzbekistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '59a903a0-5831-4eb8-af2e-4f8cd488a6d7', 'job_description': 'Decentralized user-facing function', 'start_date': datetime.datetime(2016, 5, 15, 2, 6, 59), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 3, 17, 54, 23), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 9, 29, 9, 6, 5), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f0cd4fdb-52f5-46b8-bf1f-250bf30c761f', 'end_date': datetime.datetime(2013, 11, 3, 17, 4, 33), 'start_time': datetime.datetime(2013, 4, 14, 7, 18, 54), 'rate': 5, 'updated_at': datetime.datetime(2017, 1, 2, 2, 9, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Moldova', 'special_note': 'thanks'}
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{'_id': '6c25ad84-91e6-4c52-a6ef-b7470262529c', 'job_description': 'Re-engineered dedicated array', 'start_date': datetime.datetime(2015, 1, 7, 3, 52, 42), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 9, 3, 22, 28, 21), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 3, 10, 11, 15, 36), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '0a023fab-8277-485c-9b6a-74f85f207e70', 'end_date': datetime.datetime(2011, 6, 14, 17, 50, 49), 'start_time': datetime.datetime(2015, 1, 17, 13, 23, 16), 'rate': 5, 'updated_at': datetime.datetime(2019, 1, 12, 5, 47, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Seychelles', 'special_note': 'thanks'}
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{'_id': '8b65959c-2a11-43ef-a346-13434aa787cb', 'job_description': 'Operative incremental approach', 'start_date': datetime.datetime(2018, 10, 29, 21, 59, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 5, 24, 11, 58, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 4, 13, 31, 50), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ae8cb9c8-b623-410d-bd5e-7b682212b0bc', 'end_date': datetime.datetime(2010, 11, 20, 17, 6, 53), 'start_time': datetime.datetime(2016, 8, 7, 3, 37, 19), 'rate': 3, 'updated_at': datetime.datetime(2014, 8, 29, 10, 26, 4), 'job_title': 'CoffeeMaker', 'service_id': 'Venezuela', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'dc2e8c15-a54a-4ad9-b9a1-bf27803f155d', 'job_description': 'Switchable bottom-line leverage', 'start_date': datetime.datetime(2017, 6, 17, 11, 59, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 7, 24, 11, 42, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2015, 4, 15, 7, 40, 34), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c583e034-f41b-4e04-b69e-a8b2e04bc02a', 'end_date': datetime.datetime(2012, 2, 11, 8, 13, 24), 'start_time': datetime.datetime(2018, 10, 12, 21, 59, 59), 'rate': 5, 'updated_at': datetime.datetime(2018, 1, 19, 20, 51, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Bulgaria', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd7a697b1-723d-4db4-8ebd-6168ce1782b9', 'job_description': 'Total systemic leverage', 'start_date': datetime.datetime(2014, 12, 31, 4, 58, 29), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 9, 20, 12, 53, 18), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 6, 4, 4, 24, 17), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd0ad6845-d365-41ec-a1f1-cc5c1a4fede6', 'end_date': datetime.datetime(2013, 9, 27, 19, 29, 9), 'start_time': datetime.datetime(2012, 5, 7, 1, 41, 56), 'rate': 4, 'updated_at': datetime.datetime(2014, 1, 8, 21, 29, 31), 'job_title': 'CoffeeMaker', 'service_id': 'Israel', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '5bc0eefa-5483-44ef-ad3e-352664a528ed', 'job_description': 'Total actuating service-desk', 'start_date': datetime.datetime(2019, 1, 11, 10, 20, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 11, 15, 3, 16, 9), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 12, 29, 7, 59, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e780d78a-dd72-44fe-a65f-bcff0a615a8b', 'end_date': datetime.datetime(2010, 6, 8, 18, 40, 20), 'start_time': datetime.datetime(2012, 11, 10, 15, 58, 7), 'rate': 3, 'updated_at': datetime.datetime(2011, 11, 4, 11, 7, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Saint Kitts and Nevis', 'special_note': 'thanks'}
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{'_id': '3a4eaf33-0734-412d-9de3-726934909bd4', 'job_description': 'Customer-focused scalable concept', 'start_date': datetime.datetime(2018, 4, 29, 0, 7, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 3, 23, 2, 44, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 2, 13, 4, 5, 15), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '5181dcb1-b52a-4c11-bad7-b40d57f99cf5', 'end_date': datetime.datetime(2016, 12, 20, 12, 45, 12), 'start_time': datetime.datetime(2010, 2, 17, 17, 17, 38), 'rate': 4, 'updated_at': datetime.datetime(2019, 6, 6, 12, 12, 49), 'job_title': 'CoffeeMaker', 'service_id': 'Guernsey', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '89324843-4c5c-480f-bc1e-88281d4547ef', 'job_description': 'Pre-emptive next generation time-frame', 'start_date': datetime.datetime(2012, 9, 25, 1, 18, 36), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 7, 1, 11, 23, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 4, 8, 9, 32, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '883bfd60-8e26-48b1-b435-f52f97700b57', 'end_date': datetime.datetime(2014, 6, 22, 18, 46, 4), 'start_time': datetime.datetime(2018, 2, 25, 0, 49, 53), 'rate': 4, 'updated_at': datetime.datetime(2013, 11, 8, 14, 45, 9), 'job_title': 'CoffeeMaker', 'service_id': 'Luxembourg', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '1b4a82ff-d983-4c88-a99e-4d9a07d72000', 'job_description': 'Virtual methodical service-desk', 'start_date': datetime.datetime(2014, 7, 24, 0, 37, 4), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 8, 16, 13, 4, 19), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2013, 8, 6, 5, 3, 29), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c75eb682-2089-451c-9bc6-5f60c3279bca', 'end_date': datetime.datetime(2010, 10, 15, 8, 5, 6), 'start_time': datetime.datetime(2011, 8, 28, 6, 14, 9), 'rate': 5, 'updated_at': datetime.datetime(2019, 6, 14, 7, 29, 27), 'job_title': 'CoffeeMaker', 'service_id': 'Slovakia (Slovak Republic)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '81ee7970-dd8b-4d4f-beab-9d484db42cec', 'job_description': 'Open-source scalable hierarchy', 'start_date': datetime.datetime(2014, 2, 16, 17, 59, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2018, 5, 13, 20, 38, 20), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 4, 13, 12, 56, 38), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '7f765183-591f-48a7-b54a-866abd33e5d0', 'end_date': datetime.datetime(2012, 1, 18, 7, 24, 35), 'start_time': datetime.datetime(2018, 12, 8, 21, 24, 28), 'rate': 3, 'updated_at': datetime.datetime(2011, 6, 5, 22, 21, 56), 'job_title': 'CoffeeMaker', 'service_id': 'Sierra Leone', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '42eed792-a0ff-43c2-827e-9659c77d1f5b', 'job_description': 'Right-sized web-enabled process improvement', 'start_date': datetime.datetime(2013, 10, 4, 19, 46, 40), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 10, 16, 15, 50, 51), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2017, 10, 16, 17, 0, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '86af8bbd-5311-446b-9935-4b9fcccf00b5', 'end_date': datetime.datetime(2016, 3, 20, 21, 42, 12), 'start_time': datetime.datetime(2018, 4, 11, 9, 12, 21), 'rate': 4, 'updated_at': datetime.datetime(2010, 8, 12, 15, 13, 19), 'job_title': 'CoffeeMaker', 'service_id': 'Egypt', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9e681e45-be04-4d2a-b397-fbd54e7d1e08', 'job_description': 'Visionary bottom-line knowledge base', 'start_date': datetime.datetime(2013, 2, 18, 13, 13, 53), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 9, 9, 2, 6, 59), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2010, 9, 6, 13, 33, 25), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'ce9e6bcc-87d7-4c63-82c4-57e5b519aa81', 'end_date': datetime.datetime(2012, 6, 15, 19, 7, 9), 'start_time': datetime.datetime(2015, 3, 21, 18, 0, 16), 'rate': 2, 'updated_at': datetime.datetime(2010, 4, 14, 23, 31, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Namibia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '9f170eda-0cef-46a2-8e42-f5871030ce42', 'job_description': 'User-centric fresh-thinking concept', 'start_date': datetime.datetime(2012, 11, 28, 23, 13, 5), 'hourly_cost': '10', 'end_time': datetime.datetime(2016, 7, 25, 12, 38, 26), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 18, 12, 53, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'd955dace-5427-416c-8372-7120beabfc66', 'end_date': datetime.datetime(2014, 8, 7, 1, 29, 30), 'start_time': datetime.datetime(2019, 2, 13, 1, 19), 'rate': 4, 'updated_at': datetime.datetime(2011, 12, 7, 10, 41, 26), 'job_title': 'CoffeeMaker', 'service_id': 'Malaysia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '732f6d81-c426-4435-ab66-191974b0f99d', 'job_description': 'Reactive composite hardware', 'start_date': datetime.datetime(2011, 8, 29, 16, 25, 55), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 30, 8, 8, 10), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 11, 8, 21, 46, 42), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'f4c82432-9cd6-4170-9f88-1e8d432ec9be', 'end_date': datetime.datetime(2015, 12, 8, 3, 17, 54), 'start_time': datetime.datetime(2011, 8, 23, 9, 19, 41), 'rate': 2, 'updated_at': datetime.datetime(2013, 1, 18, 8, 37, 55), 'job_title': 'CoffeeMaker', 'service_id': 'Mauritius', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '435b81ac-a976-4af7-952c-adb8bc1560b2', 'job_description': 'Optional empowering support', 'start_date': datetime.datetime(2015, 9, 23, 12, 22, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2019, 7, 7, 9, 31, 36), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 6, 26, 4, 47, 7), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'c37ec98a-a72f-4655-9eac-4fa864062805', 'end_date': datetime.datetime(2010, 9, 26, 1, 18, 23), 'start_time': datetime.datetime(2013, 2, 25, 2, 20, 16), 'rate': 2, 'updated_at': datetime.datetime(2013, 11, 18, 10, 33, 43), 'job_title': 'CoffeeMaker', 'service_id': 'Suriname', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '994a9c40-0efe-40b0-bc1c-031917047c64', 'job_description': 'Front-line methodical conglomeration', 'start_date': datetime.datetime(2019, 7, 1, 1, 6, 50), 'hourly_cost': '10', 'end_time': datetime.datetime(2012, 12, 6, 13, 30, 11), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 7, 13, 5, 58, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '9883ddea-8b45-43e5-a08d-25d6b4e08432', 'end_date': datetime.datetime(2011, 12, 16, 14, 22, 5), 'start_time': datetime.datetime(2013, 3, 30, 3, 53), 'rate': 5, 'updated_at': datetime.datetime(2011, 7, 28, 6, 24, 5), 'job_title': 'CoffeeMaker', 'service_id': 'Greenland', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'df2847d2-f188-4fa2-b7d8-19297cfcc98e', 'job_description': 'Synergized optimizing encryption', 'start_date': datetime.datetime(2018, 6, 7, 3, 55, 46), 'hourly_cost': '10', 'end_time': datetime.datetime(2015, 1, 12, 23, 45, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 10, 1, 2, 16), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '411575c9-e7b3-4ec2-b33b-00dd1db129c1', 'end_date': datetime.datetime(2017, 11, 30, 18, 15, 11), 'start_time': datetime.datetime(2014, 9, 24, 23, 12, 15), 'rate': 4, 'updated_at': datetime.datetime(2015, 4, 15, 6, 58, 14), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '189e1c98-8f69-4fae-ab21-ee649e4fa575', 'job_description': 'Extended maximized focus group', 'start_date': datetime.datetime(2017, 7, 13, 11, 10, 37), 'hourly_cost': '10', 'end_time': datetime.datetime(2011, 7, 26, 10, 41, 35), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 5, 17, 8, 43, 59), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '4b3f681d-2cb3-441b-be45-b25ceeba9567', 'end_date': datetime.datetime(2018, 10, 16, 22, 47, 59), 'start_time': datetime.datetime(2017, 11, 20, 17, 38, 21), 'rate': 3, 'updated_at': datetime.datetime(2015, 8, 13, 14, 57, 50), 'job_title': 'CoffeeMaker', 'service_id': 'French Guiana', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '409221e6-71a6-4dc0-a45e-67fd687f80a9', 'job_description': 'Synergized local local area network', 'start_date': datetime.datetime(2011, 7, 16, 22, 26, 31), 'hourly_cost': '10', 'end_time': datetime.datetime(2010, 2, 22, 6, 25, 58), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 5, 31, 19, 24, 27), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '052e6d29-f8b4-49e8-8c5f-b01f11a678ad', 'end_date': datetime.datetime(2019, 9, 29, 4, 24, 54), 'start_time': datetime.datetime(2015, 12, 22, 14, 50, 11), 'rate': 4, 'updated_at': datetime.datetime(2013, 2, 13, 19, 12, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Bouvet Island (Bouvetoya)', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd424ee27-6482-4176-bed1-86218ff41232', 'job_description': 'Function-based needs-based capacity', 'start_date': datetime.datetime(2010, 10, 22, 1, 21, 6), 'hourly_cost': '10', 'end_time': datetime.datetime(2017, 10, 14, 22, 54, 12), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 1, 23, 11, 42, 23), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '29734d63-a3cf-49a5-884c-a725bb0f4ea9', 'end_date': datetime.datetime(2012, 7, 25, 11, 29, 27), 'start_time': datetime.datetime(2015, 2, 26, 2, 43, 13), 'rate': 2, 'updated_at': datetime.datetime(2010, 1, 25, 6, 57, 3), 'job_title': 'CoffeeMaker', 'service_id': 'Guinea-Bissau', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '8762fcce-f51c-4b35-bbb4-38f21c82faab', 'job_description': 'Fully-configurable background concept', 'start_date': datetime.datetime(2010, 8, 26, 20, 47, 11), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 14, 8, 13, 52), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2018, 9, 13, 14, 56, 1), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'fd06bd06-eb5b-468e-ad27-becda6f52e16', 'end_date': datetime.datetime(2010, 4, 14, 4, 42, 5), 'start_time': datetime.datetime(2014, 3, 23, 0, 33, 50), 'rate': 5, 'updated_at': datetime.datetime(2014, 3, 5, 20, 19, 1), 'job_title': 'CoffeeMaker', 'service_id': 'Turkmenistan', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '74d0c38a-c864-43ca-bae7-6be766e7ce88', 'job_description': 'Configurable solution-oriented moratorium', 'start_date': datetime.datetime(2015, 12, 4, 20, 42, 30), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 4, 4, 6, 7, 53), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2019, 3, 15, 5, 57, 21), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': '636dcac1-8f55-430f-b99b-1ff987150726', 'end_date': datetime.datetime(2015, 10, 17, 17, 2, 35), 'start_time': datetime.datetime(2014, 7, 15, 11, 51, 48), 'rate': 5, 'updated_at': datetime.datetime(2017, 2, 16, 12, 41, 52), 'job_title': 'CoffeeMaker', 'service_id': 'Colombia', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '21e24218-8a29-4753-92f5-68699c9c094c', 'job_description': 'Managed 24/7 intranet', 'start_date': datetime.datetime(2018, 2, 13, 9, 11, 45), 'hourly_cost': '10', 'end_time': datetime.datetime(2013, 11, 25, 7, 34), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2012, 6, 7, 15, 10, 22), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'a1b01545-ac8f-4589-a88e-034a1f3e6ab3', 'end_date': datetime.datetime(2019, 8, 25, 3, 55, 31), 'start_time': datetime.datetime(2012, 5, 4, 10, 5, 51), 'rate': 5, 'updated_at': datetime.datetime(2015, 4, 15, 13, 53, 59), 'job_title': 'CoffeeMaker', 'service_id': 'Reunion', 'special_note': 'thanks'}
<class 'dict'>
{'_id': '7adc41ac-5648-494b-af0b-57e02737b2c9', 'job_description': 'Realigned intangible hierarchy', 'start_date': datetime.datetime(2017, 12, 23, 17, 45, 51), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 12, 21, 22, 29, 28), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2014, 12, 21, 18, 59, 28), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'e34ce17d-0e8d-448d-a2af-7f957d13b8d6', 'end_date': datetime.datetime(2016, 5, 22, 15, 48, 47), 'start_time': datetime.datetime(2019, 7, 5, 1, 21, 5), 'rate': 2, 'updated_at': datetime.datetime(2012, 1, 27, 18, 41, 58), 'job_title': 'CoffeeMaker', 'service_id': 'Dominica', 'special_note': 'thanks'}
<class 'dict'>
{'_id': 'd413bf4b-dee9-45ca-a880-fa0aad20a7f9', 'job_description': 'Business-focused actuating local area network', 'start_date': datetime.datetime(2014, 5, 22, 19, 3, 12), 'hourly_cost': '10', 'end_time': datetime.datetime(2014, 4, 16, 13, 43, 31), 'total_hiring': '3', 'status': '1', 'created_at': datetime.datetime(2011, 10, 22, 2, 44, 13), 'total_hours': '8', 'total_cost': '80', '__v': 0.0, 'company_id': 'da5f5a92-6ee0-48bf-b15f-c715092c988d', 'end_date': datetime.datetime(2010, 3, 15, 22, 14, 56), 'start_time': datetime.datetime(2013, 1, 12, 9, 54, 27), 'rate': 2, 'updated_at': datetime.datetime(2016, 5, 10, 21, 1, 41), 'job_title': 'CoffeeMaker', 'service_id': 'South Georgia and the South Sandwich Islands', 'special_note': 'thanks'}
<class 'dict'>
IOPub data rate exceeded. The notebook server will temporarily stop sending output to the client in order to avoid crashing it. To change this limit, set the config variable `--NotebookApp.iopub_data_rate_limit`. Current values: NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec) NotebookApp.rate_limit_window=3.0 (secs)
df_PJ = DataFrame(list(job_db.PostJob.find( {} )))
print(df_PJ)
_id \
0 a847af9c-2cda-417e-b209-d465d1d78105
1 35508680-517b-4d04-a1fd-b71c96930b7f
2 0c80f08e-d658-426b-a12b-97cfd24fab06
3 d2201dc2-cafb-46ba-972a-f3f3860e7a56
4 8490fe5a-1096-421d-8fe2-0c054163a1e8
... ...
9995 dffcc080-0810-4bd5-a8d8-100918d3a0d8
9996 441025e7-1638-4517-bbd9-5bddf08e3a6d
9997 5c503d74-c544-4968-af38-8d41862319de
9998 8804d56c-34ae-4f12-8d3a-abb91c5f1e7e
9999 5473979b-8c2f-437d-ad96-a7e311c8d147
job_description start_date hourly_cost \
0 Total systemic leverage 2019-04-11 11:15:50 10
1 Total actuating service-desk 2018-04-27 23:49:42 10
2 Customer-focused scalable concept 2018-12-06 04:30:41 10
3 Pre-emptive next generation time-frame 2013-07-09 06:17:53 10
4 Virtual methodical service-desk 2016-06-17 05:41:00 10
... ... ... ...
9995 Function-based bottom-line hub 2016-01-24 20:00:25 10
9996 Decentralized user-facing function 2016-03-08 08:46:07 10
9997 Re-engineered dedicated array 2017-03-23 02:37:19 10
9998 Operative incremental approach 2011-03-23 01:20:23 10
9999 Switchable bottom-line leverage 2014-12-12 00:02:59 10
end_time total_hiring status created_at total_hours \
0 2018-06-27 14:47:58 3 1 2012-08-26 16:39:30 8
1 2019-05-15 11:41:30 3 1 2019-11-02 19:52:36 8
2 2011-10-25 11:26:14 3 1 2014-02-23 05:28:05 8
3 2016-04-27 21:43:33 3 1 2015-10-04 00:54:36 8
4 2014-02-22 16:21:53 3 1 2015-01-31 14:51:26 8
... ... ... ... ... ...
9995 2011-05-20 11:07:32 3 1 2018-02-18 16:55:04 8
9996 2010-04-01 16:43:57 3 1 2011-12-24 19:58:09 8
9997 2014-09-21 10:01:59 3 1 2010-05-25 03:15:00 8
9998 2012-06-26 05:53:55 3 1 2015-11-22 23:52:06 8
9999 2012-04-19 09:57:35 3 1 2018-01-28 04:11:45 8
total_cost __v company_id \
0 80 0.0 ffdb9dcb-a21d-41e9-8ec9-8cb6fa423674
1 80 0.0 2c18e856-fe97-40dd-aa3c-9dd36e3dea8c
2 80 0.0 af6484a1-44e8-4c76-bc7a-4589c3c56b2c
3 80 0.0 68b3b386-fb77-463c-9de8-ab0115817909
4 80 0.0 16762dac-b04b-4067-a54b-8aeb977cde96
... ... ... ...
9995 80 0.0 741dc9fa-a84c-4bb3-aafe-0274921d90f3
9996 80 0.0 87dfdf31-3df4-4e60-a315-17b25d48b405
9997 80 0.0 ce81a099-4cb6-404a-a6f7-016f882f5e8d
9998 80 0.0 efb46f96-9aad-4bac-a1e3-9c17492e1eb6
9999 80 0.0 a86cd27b-5e4d-4430-94f4-3583b0044fcb
end_date start_time rate updated_at \
0 2018-07-14 03:50:29 2012-02-25 23:46:04 4 2011-09-30 12:25:53
1 2012-04-30 22:22:07 2011-05-02 11:45:07 2 2010-06-02 01:22:21
2 2013-08-01 20:43:45 2015-09-11 00:44:35 1 2012-01-07 05:21:29
3 2015-12-10 16:39:50 2016-12-15 22:11:09 5 2013-12-01 12:01:28
4 2014-08-21 04:14:43 2011-04-03 22:54:57 3 2014-02-05 17:59:18
... ... ... ... ...
9995 2013-07-01 09:38:50 2014-03-03 15:02:35 5 2018-05-17 05:56:28
9996 2014-11-16 09:11:57 2013-09-30 13:46:34 3 2018-06-04 08:25:22
9997 2015-09-04 05:14:10 2019-06-11 02:57:25 2 2016-11-04 08:07:51
9998 2019-09-02 07:12:20 2018-08-15 00:49:42 2 2010-06-04 17:28:48
9999 2011-06-08 02:02:24 2013-10-25 12:03:42 1 2012-06-22 05:39:49
job_title service_id special_note
0 CoffeeMaker Israel thanks
1 CoffeeMaker Saint Kitts and Nevis thanks
2 CoffeeMaker Guernsey thanks
3 CoffeeMaker Luxembourg thanks
4 CoffeeMaker Slovakia (Slovak Republic) thanks
... ... ... ...
9995 CoffeeMaker Uzbekistan thanks
9996 CoffeeMaker Moldova thanks
9997 CoffeeMaker Seychelles thanks
9998 CoffeeMaker Venezuela thanks
9999 CoffeeMaker Bulgaria thanks
[10000 rows x 19 columns]
print(df_PJ.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 10000 entries, 0 to 9999 Data columns (total 19 columns): _id 10000 non-null object job_description 10000 non-null object start_date 10000 non-null datetime64[ns] hourly_cost 10000 non-null object end_time 10000 non-null datetime64[ns] total_hiring 10000 non-null object status 10000 non-null object created_at 10000 non-null datetime64[ns] total_hours 10000 non-null object total_cost 10000 non-null object __v 10000 non-null float64 company_id 10000 non-null object end_date 10000 non-null datetime64[ns] start_time 10000 non-null datetime64[ns] rate 10000 non-null int64 updated_at 10000 non-null datetime64[ns] job_title 10000 non-null object service_id 10000 non-null object special_note 10000 non-null object dtypes: datetime64[ns](6), float64(1), int64(1), object(11) memory usage: 1.4+ MB None
myCursor5 = job_db.UserCertification.find( {} )
print(myCursor5)
<pymongo.cursor.Cursor object at 0x00000291CCA61588>
job_db.UserCertification.count_documents({})
1000
for document in myCursor5:
print(document)
print(type(document))
{'_id': ObjectId('5e54146c9da33c5135b3a9a9'), '__v': 0.0, 'user_id': 'e500b2b6-c427-471e-bba1-de07b931b28d', 'title': 'Product Paradigm Architect', 'description': 'Lead Accountability Orchestrator', 'created_at': datetime.datetime(2019, 4, 11, 11, 15, 50), 'updated_at': datetime.datetime(2018, 6, 27, 14, 47, 58)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9aa'), '__v': 0.0, 'user_id': '0aac1730-8e6f-460b-8cff-c5a231b37820', 'title': 'Customer Data Planner', 'description': 'Principal Functionality Supervisor', 'created_at': datetime.datetime(2012, 8, 26, 16, 39, 30), 'updated_at': datetime.datetime(2018, 7, 14, 3, 50, 29)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9ab'), '__v': 0.0, 'user_id': '16e24997-06ec-4f54-9294-70a03a7cde73', 'title': 'National Research Planner', 'description': 'Central Markets Manager', 'created_at': datetime.datetime(2012, 2, 25, 23, 46, 4), 'updated_at': datetime.datetime(2011, 9, 30, 12, 25, 53)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9ac'), '__v': 0.0, 'user_id': '6f2c78a8-f47d-41a1-aa6d-44d0e3be357c', 'title': 'Lead Paradigm Designer', 'description': 'Legacy Accountability Orchestrator', 'created_at': datetime.datetime(2018, 4, 27, 23, 49, 42), 'updated_at': datetime.datetime(2019, 5, 15, 11, 41, 30)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9ad'), '__v': 0.0, 'user_id': 'b9e0d290-ed42-415e-80bc-e51c0a68e8e2', 'title': 'Chief Brand Officer', 'description': 'Senior Assurance Planner', 'created_at': datetime.datetime(2019, 11, 2, 19, 52, 36), 'updated_at': datetime.datetime(2012, 4, 30, 22, 22, 7)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9ae'), '__v': 0.0, 'user_id': 'be9e1891-bfd5-439b-a75d-086075221ae7', 'title': 'Regional Metrics Developer', 'description': 'Central Mobility Technician', 'created_at': datetime.datetime(2011, 5, 2, 11, 45, 7), 'updated_at': datetime.datetime(2010, 6, 2, 1, 22, 21)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9af'), '__v': 0.0, 'user_id': 'b058db25-0425-4e7d-ab19-c7069a162996', 'title': 'Future Program Strategist', 'description': 'Product Intranet Representative', 'created_at': datetime.datetime(2018, 12, 6, 4, 30, 41), 'updated_at': datetime.datetime(2011, 10, 25, 11, 26, 14)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9b0'), '__v': 0.0, 'user_id': 'a2cdd311-0534-4202-a45b-645766d48d14', 'title': 'Legacy Response Officer', 'description': 'Senior Mobility Planner', 'created_at': datetime.datetime(2014, 2, 23, 5, 28, 5), 'updated_at': datetime.datetime(2013, 8, 1, 20, 43, 45)}
<class 'dict'>
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{'_id': ObjectId('5e54146c9da33c5135b3ad76'), '__v': 0.0, 'user_id': 'e9114c92-cffb-4446-bb54-fadc12d313b8', 'title': 'Customer Markets Agent', 'description': 'Regional Applications Architect', 'created_at': datetime.datetime(2013, 6, 25, 14, 45, 45), 'updated_at': datetime.datetime(2010, 5, 9, 23, 11, 22)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad77'), '__v': 0.0, 'user_id': '97217077-9be2-4a07-a109-965a1f08e5b0', 'title': 'Forward Paradigm Executive', 'description': 'Lead Functionality Designer', 'created_at': datetime.datetime(2012, 5, 4, 11, 12, 38), 'updated_at': datetime.datetime(2012, 4, 10, 13, 49, 51)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad78'), '__v': 0.0, 'user_id': '19627fbe-a9e9-4f08-bc79-411dc4683686', 'title': 'Corporate Response Strategist', 'description': 'Investor Optimization Coordinator', 'created_at': datetime.datetime(2016, 10, 14, 16, 34, 5), 'updated_at': datetime.datetime(2019, 11, 19, 10, 20, 8)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad79'), '__v': 0.0, 'user_id': 'f819dca3-04ed-4c44-9418-9d9c9852f260', 'title': 'National Web Executive', 'description': 'Legacy Infrastructure Engineer', 'created_at': datetime.datetime(2015, 7, 20, 13, 55, 19), 'updated_at': datetime.datetime(2017, 8, 10, 19, 39, 54)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad7a'), '__v': 0.0, 'user_id': 'd287c8fb-e398-4690-8482-38cebb2bbac3', 'title': 'Dynamic Solutions Facilitator', 'description': 'Global Operations Orchestrator', 'created_at': datetime.datetime(2012, 4, 24, 11, 40, 37), 'updated_at': datetime.datetime(2010, 12, 12, 12, 32, 7)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad7b'), '__v': 0.0, 'user_id': '5a419ddc-ef96-4948-9aaf-fbcaa11665d9', 'title': 'Forward Division Specialist', 'description': 'Customer Division Coordinator', 'created_at': datetime.datetime(2011, 1, 23, 8, 12, 56), 'updated_at': datetime.datetime(2018, 2, 10, 16, 15, 36)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad7c'), '__v': 0.0, 'user_id': '026cf415-30fe-413e-8f15-99984dffb9be', 'title': 'Dynamic Quality Associate', 'description': 'Human Implementation Officer', 'created_at': datetime.datetime(2016, 12, 5, 22, 38, 13), 'updated_at': datetime.datetime(2017, 2, 15, 7, 19, 55)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad7d'), '__v': 0.0, 'user_id': 'd26f25d1-5b1e-4a6f-b1ab-1c626c3532b4', 'title': 'Regional Solutions Technician', 'description': 'Direct Metrics Engineer', 'created_at': datetime.datetime(2015, 1, 12, 22, 0, 37), 'updated_at': datetime.datetime(2011, 8, 4, 18, 53, 26)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad7e'), '__v': 0.0, 'user_id': 'acf03368-44d5-441d-8ab9-3b3030666f5a', 'title': 'Customer Factors Executive', 'description': 'Forward Applications Coordinator', 'created_at': datetime.datetime(2019, 11, 21, 11, 37, 25), 'updated_at': datetime.datetime(2010, 9, 22, 6, 54)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad7f'), '__v': 0.0, 'user_id': 'fd3f969e-bc64-4e97-a29c-64bf1f05d5ed', 'title': 'Global Research Strategist', 'description': 'Regional Interactions Executive', 'created_at': datetime.datetime(2011, 6, 7, 17, 11, 2), 'updated_at': datetime.datetime(2015, 6, 27, 18, 32, 17)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad80'), '__v': 0.0, 'user_id': '257ac4ec-1e19-4fee-8659-3bac4b8e2d7c', 'title': 'Dynamic Directives Orchestrator', 'description': 'Corporate Web Liason', 'created_at': datetime.datetime(2018, 12, 6, 11, 51, 34), 'updated_at': datetime.datetime(2019, 5, 1, 15, 21, 35)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad81'), '__v': 0.0, 'user_id': 'ff517192-b43f-4590-916a-4048aa099f85', 'title': 'Legacy Paradigm Assistant', 'description': 'Regional Assurance Administrator', 'created_at': datetime.datetime(2015, 12, 29, 8, 56, 41), 'updated_at': datetime.datetime(2015, 6, 14, 6, 17, 18)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad82'), '__v': 0.0, 'user_id': 'c18cdac4-ca3f-4ffd-b01d-b05d007a70b9', 'title': 'Future Markets Technician', 'description': 'Investor Functionality Engineer', 'created_at': datetime.datetime(2019, 9, 15, 12, 48, 59), 'updated_at': datetime.datetime(2011, 11, 19, 9, 15, 31)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad83'), '__v': 0.0, 'user_id': '2cf8d019-9ae4-4087-ab0e-f7d5dc96aba6', 'title': 'International Metrics Director', 'description': 'National Infrastructure Consultant', 'created_at': datetime.datetime(2013, 5, 27, 18, 40, 8), 'updated_at': datetime.datetime(2012, 1, 19, 20, 42, 58)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad84'), '__v': 0.0, 'user_id': 'd81633a8-260c-45a4-8ce1-20c37f71ce7e', 'title': 'Dynamic Data Analyst', 'description': 'District Research Facilitator', 'created_at': datetime.datetime(2013, 5, 20, 9, 33, 6), 'updated_at': datetime.datetime(2015, 3, 2, 12, 2, 20)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad85'), '__v': 0.0, 'user_id': '0739e1d5-a43d-45b3-a2e4-b341a91b8eb4', 'title': 'Regional Solutions Analyst', 'description': 'Product Optimization Associate', 'created_at': datetime.datetime(2015, 12, 18, 19, 13, 23), 'updated_at': datetime.datetime(2018, 8, 30, 10, 24, 16)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad86'), '__v': 0.0, 'user_id': '12c28472-6540-4a50-9143-756c7d4383eb', 'title': 'Lead Optimization Assistant', 'description': 'Forward Solutions Coordinator', 'created_at': datetime.datetime(2018, 12, 28, 6, 36, 30), 'updated_at': datetime.datetime(2018, 9, 18, 14, 59, 8)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad87'), '__v': 0.0, 'user_id': '66e6dbf1-8d68-4db8-8ddc-3f2c9d26c29b', 'title': 'District Functionality Engineer', 'description': 'Future Response Producer', 'created_at': datetime.datetime(2012, 6, 11, 22, 45, 52), 'updated_at': datetime.datetime(2010, 5, 6, 23, 8, 19)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad88'), '__v': 0.0, 'user_id': '742809b3-fb83-4d1d-81e0-d6d9ae006312', 'title': 'Global Intranet Technician', 'description': 'Global Group Manager', 'created_at': datetime.datetime(2012, 11, 27, 13, 11, 40), 'updated_at': datetime.datetime(2014, 12, 10, 19, 3, 29)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad89'), '__v': 0.0, 'user_id': '9e571f03-3f80-49de-8263-e8cb4eed93c0', 'title': 'National Markets Consultant', 'description': 'Corporate Mobility Analyst', 'created_at': datetime.datetime(2016, 3, 26, 9, 12, 19), 'updated_at': datetime.datetime(2014, 6, 20, 20, 26, 37)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad8a'), '__v': 0.0, 'user_id': '7b04a8e3-33f0-4722-84c5-a156beb28b06', 'title': 'Legacy Group Technician', 'description': 'Principal Optimization Administrator', 'created_at': datetime.datetime(2017, 4, 4, 8, 35, 14), 'updated_at': datetime.datetime(2015, 1, 28, 18, 31, 37)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad8b'), '__v': 0.0, 'user_id': 'b1e6a468-c0af-4d58-9494-13ce763c1511', 'title': 'Regional Functionality Representative', 'description': 'International Markets Director', 'created_at': datetime.datetime(2012, 6, 18, 7, 19, 29), 'updated_at': datetime.datetime(2011, 1, 7, 2, 34, 41)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad8c'), '__v': 0.0, 'user_id': 'e66e590d-f545-4d6e-836a-88bcced8f24b', 'title': 'Human Security Strategist', 'description': 'Central Marketing Supervisor', 'created_at': datetime.datetime(2016, 6, 3, 18, 10, 3), 'updated_at': datetime.datetime(2015, 7, 12, 5, 40, 47)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad8d'), '__v': 0.0, 'user_id': '624cdce0-4c27-4232-8fe3-af43071a6dfc', 'title': 'Direct Data Assistant', 'description': 'Dynamic Communications Supervisor', 'created_at': datetime.datetime(2019, 10, 20, 5, 40, 29), 'updated_at': datetime.datetime(2011, 2, 26, 9, 13, 9)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad8e'), '__v': 0.0, 'user_id': '30e0cb23-9417-4c90-bb07-c4dbb1234493', 'title': 'Corporate Security Associate', 'description': 'Corporate Data Consultant', 'created_at': datetime.datetime(2016, 5, 21, 15, 38, 17), 'updated_at': datetime.datetime(2016, 3, 27, 16, 32, 2)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad8f'), '__v': 0.0, 'user_id': 'b4b41de5-2839-451c-b7fa-d6185c2b6b35', 'title': 'Dynamic Intranet Liason', 'description': 'Internal Metrics Executive', 'created_at': datetime.datetime(2010, 10, 19, 1, 11, 6), 'updated_at': datetime.datetime(2019, 5, 16, 21, 53, 9)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3ad90'), '__v': 0.0, 'user_id': '7a3d37ae-f82f-40ae-81f9-14b5e090dfea', 'title': 'Senior Integration Director', 'description': 'Chief Web Analyst', 'created_at': datetime.datetime(2015, 10, 13, 5, 52, 57), 'updated_at': datetime.datetime(2016, 1, 27, 13, 3, 18)}
<class 'dict'>
df_UC = DataFrame(list(job_db.UserCertification.find( {} )))
print(df_UC)
_id __v user_id \
0 5e54146c9da33c5135b3a9a9 0.0 e500b2b6-c427-471e-bba1-de07b931b28d
1 5e54146c9da33c5135b3a9aa 0.0 0aac1730-8e6f-460b-8cff-c5a231b37820
2 5e54146c9da33c5135b3a9ab 0.0 16e24997-06ec-4f54-9294-70a03a7cde73
3 5e54146c9da33c5135b3a9ac 0.0 6f2c78a8-f47d-41a1-aa6d-44d0e3be357c
4 5e54146c9da33c5135b3a9ad 0.0 b9e0d290-ed42-415e-80bc-e51c0a68e8e2
.. ... ... ...
995 5e54146c9da33c5135b3ad8c 0.0 e66e590d-f545-4d6e-836a-88bcced8f24b
996 5e54146c9da33c5135b3ad8d 0.0 624cdce0-4c27-4232-8fe3-af43071a6dfc
997 5e54146c9da33c5135b3ad8e 0.0 30e0cb23-9417-4c90-bb07-c4dbb1234493
998 5e54146c9da33c5135b3ad8f 0.0 b4b41de5-2839-451c-b7fa-d6185c2b6b35
999 5e54146c9da33c5135b3ad90 0.0 7a3d37ae-f82f-40ae-81f9-14b5e090dfea
title description \
0 Product Paradigm Architect Lead Accountability Orchestrator
1 Customer Data Planner Principal Functionality Supervisor
2 National Research Planner Central Markets Manager
3 Lead Paradigm Designer Legacy Accountability Orchestrator
4 Chief Brand Officer Senior Assurance Planner
.. ... ...
995 Human Security Strategist Central Marketing Supervisor
996 Direct Data Assistant Dynamic Communications Supervisor
997 Corporate Security Associate Corporate Data Consultant
998 Dynamic Intranet Liason Internal Metrics Executive
999 Senior Integration Director Chief Web Analyst
created_at updated_at
0 2019-04-11 11:15:50 2018-06-27 14:47:58
1 2012-08-26 16:39:30 2018-07-14 03:50:29
2 2012-02-25 23:46:04 2011-09-30 12:25:53
3 2018-04-27 23:49:42 2019-05-15 11:41:30
4 2019-11-02 19:52:36 2012-04-30 22:22:07
.. ... ...
995 2016-06-03 18:10:03 2015-07-12 05:40:47
996 2019-10-20 05:40:29 2011-02-26 09:13:09
997 2016-05-21 15:38:17 2016-03-27 16:32:02
998 2010-10-19 01:11:06 2019-05-16 21:53:09
999 2015-10-13 05:52:57 2016-01-27 13:03:18
[1000 rows x 7 columns]
print(df_UC.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 1000 entries, 0 to 999 Data columns (total 7 columns): _id 1000 non-null object __v 1000 non-null float64 user_id 1000 non-null object title 1000 non-null object description 1000 non-null object created_at 1000 non-null datetime64[ns] updated_at 1000 non-null datetime64[ns] dtypes: datetime64[ns](2), float64(1), object(4) memory usage: 54.8+ KB None
myCursor6 = job_db.UserJobExperience.find( {} )
print(myCursor6)
<pymongo.cursor.Cursor object at 0x00000291CA1D60C8>
job_db.UserJobExperience.count_documents({})
1000
for document in myCursor6:
print(document)
print(type(document))
{'_id': ObjectId('5e54146c9da33c5135b3a5bf'), 'user_id': 'e500b2b6-c427-471e-bba1-de07b931b28d', 'end_date': datetime.datetime(2019, 4, 11, 11, 15, 50), 'updated_at': datetime.datetime(2018, 6, 27, 14, 47, 58), '__v': 0.0, 'title': 'Legacy Markets Executive', 'org_name': 'Stracke and Sons', 'description': 'Corporate Interactions Technician', 'start_date': datetime.datetime(2012, 8, 26, 16, 39, 30), 'status': '1', 'created_at': datetime.datetime(2018, 7, 14, 3, 50, 29)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5c0'), 'user_id': '0aac1730-8e6f-460b-8cff-c5a231b37820', 'end_date': datetime.datetime(2012, 2, 25, 23, 46, 4), 'updated_at': datetime.datetime(2011, 9, 30, 12, 25, 53), '__v': 0.0, 'title': 'International Marketing Executive', 'org_name': 'Wuckert and Sons', 'description': 'Corporate Functionality Producer', 'start_date': datetime.datetime(2018, 4, 27, 23, 49, 42), 'status': '1', 'created_at': datetime.datetime(2019, 5, 15, 11, 41, 30)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5c1'), 'user_id': '16e24997-06ec-4f54-9294-70a03a7cde73', 'end_date': datetime.datetime(2019, 11, 2, 19, 52, 36), 'updated_at': datetime.datetime(2012, 4, 30, 22, 22, 7), '__v': 0.0, 'title': 'Dynamic Markets Analyst', 'org_name': "O'Hara, Mohr and Frami", 'description': 'District Optimization Facilitator', 'start_date': datetime.datetime(2011, 5, 2, 11, 45, 7), 'status': '1', 'created_at': datetime.datetime(2010, 6, 2, 1, 22, 21)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5c2'), 'user_id': '6f2c78a8-f47d-41a1-aa6d-44d0e3be357c', 'end_date': datetime.datetime(2018, 12, 6, 4, 30, 41), 'updated_at': datetime.datetime(2011, 10, 25, 11, 26, 14), '__v': 0.0, 'title': 'National Operations Developer', 'org_name': 'McKenzie, Sporer and Cummerata', 'description': 'Forward Factors Producer', 'start_date': datetime.datetime(2014, 2, 23, 5, 28, 5), 'status': '1', 'created_at': datetime.datetime(2013, 8, 1, 20, 43, 45)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5c3'), 'user_id': 'b9e0d290-ed42-415e-80bc-e51c0a68e8e2', 'end_date': datetime.datetime(2015, 9, 11, 0, 44, 35), 'updated_at': datetime.datetime(2012, 1, 7, 5, 21, 29), '__v': 0.0, 'title': 'Customer Web Producer', 'org_name': 'Renner Group', 'description': 'Customer Group Specialist', 'start_date': datetime.datetime(2013, 7, 9, 6, 17, 53), 'status': '1', 'created_at': datetime.datetime(2016, 4, 27, 21, 43, 33)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5c4'), 'user_id': 'be9e1891-bfd5-439b-a75d-086075221ae7', 'end_date': datetime.datetime(2015, 10, 4, 0, 54, 36), 'updated_at': datetime.datetime(2015, 12, 10, 16, 39, 50), '__v': 0.0, 'title': 'Central Identity Producer', 'org_name': 'Yundt, Borer and Heaney', 'description': 'Chief Group Director', 'start_date': datetime.datetime(2016, 12, 15, 22, 11, 9), 'status': '1', 'created_at': datetime.datetime(2013, 12, 1, 12, 1, 28)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5c5'), 'user_id': 'b058db25-0425-4e7d-ab19-c7069a162996', 'end_date': datetime.datetime(2016, 6, 17, 5, 41), 'updated_at': datetime.datetime(2014, 2, 22, 16, 21, 53), '__v': 0.0, 'title': 'Internal Intranet Manager', 'org_name': 'Wolff, Watsica and Treutel', 'description': 'Investor Interactions Producer', 'start_date': datetime.datetime(2015, 1, 31, 14, 51, 26), 'status': '1', 'created_at': datetime.datetime(2014, 8, 21, 4, 14, 43)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5c6'), 'user_id': 'a2cdd311-0534-4202-a45b-645766d48d14', 'end_date': datetime.datetime(2011, 4, 3, 22, 54, 57), 'updated_at': datetime.datetime(2014, 2, 5, 17, 59, 18), '__v': 0.0, 'title': 'Dynamic Operations Supervisor', 'org_name': 'Gaylord-Donnelly', 'description': 'International Accountability Technician', 'start_date': datetime.datetime(2010, 7, 27, 20, 22, 2), 'status': '1', 'created_at': datetime.datetime(2012, 7, 27, 20, 53, 6)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5c7'), 'user_id': '2f2bc3db-7708-4fd9-8c3b-5cf09a20be98', 'end_date': datetime.datetime(2019, 9, 14, 11, 21, 34), 'updated_at': datetime.datetime(2017, 7, 26, 13, 56, 22), '__v': 0.0, 'title': 'Dynamic Markets Administrator', 'org_name': 'VonRueden-Harber', 'description': 'Human Intranet Liason', 'start_date': datetime.datetime(2018, 11, 3, 2, 7, 12), 'status': '1', 'created_at': datetime.datetime(2011, 5, 24, 2, 34, 31)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5c8'), 'user_id': '4d652de3-1519-44ef-a80c-4837af138b95', 'end_date': datetime.datetime(2010, 9, 11, 0, 56, 50), 'updated_at': datetime.datetime(2013, 11, 27, 15, 46, 18), '__v': 0.0, 'title': 'Global Operations Engineer', 'org_name': 'Greenfelder Group', 'description': 'Dynamic Applications Coordinator', 'start_date': datetime.datetime(2011, 4, 19, 18, 16, 28), 'status': '1', 'created_at': datetime.datetime(2016, 11, 1, 0, 0, 16)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5c9'), 'user_id': 'd452f1fd-f00b-4e2c-8166-4fb5d9d7090c', 'end_date': datetime.datetime(2012, 1, 26, 7, 35, 31), 'updated_at': datetime.datetime(2013, 11, 18, 14, 15, 29), '__v': 0.0, 'title': 'Direct Solutions Executive', 'org_name': 'Rogahn-Fahey', 'description': 'Investor Communications Designer', 'start_date': datetime.datetime(2013, 5, 15, 16, 36, 57), 'status': '1', 'created_at': datetime.datetime(2012, 8, 18, 2, 51, 57)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5ca'), 'user_id': 'da5791fc-dd19-47bf-a7ee-e1f61a7a0c57', 'end_date': datetime.datetime(2019, 10, 31, 15, 25, 1), 'updated_at': datetime.datetime(2012, 12, 29, 11, 48, 17), '__v': 0.0, 'title': 'Regional Solutions Developer', 'org_name': 'Sipes LLC', 'description': 'Chief Solutions Engineer', 'start_date': datetime.datetime(2016, 5, 19, 8, 26, 44), 'status': '1', 'created_at': datetime.datetime(2017, 4, 3, 6, 24, 8)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5cb'), 'user_id': '61a45bb9-b29d-402f-81de-47be32b52b53', 'end_date': datetime.datetime(2011, 3, 28, 11, 1, 25), 'updated_at': datetime.datetime(2015, 10, 10, 23, 19, 37), '__v': 0.0, 'title': 'Internal Research Supervisor', 'org_name': 'Gusikowski, Parker and Gleichner', 'description': 'International Operations Technician', 'start_date': datetime.datetime(2015, 9, 2, 17, 43, 57), 'status': '1', 'created_at': datetime.datetime(2010, 2, 21, 20, 2, 41)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5cc'), 'user_id': 'dca68658-e8b5-4bcd-9f33-abb504e3423b', 'end_date': datetime.datetime(2010, 5, 28, 22, 27, 33), 'updated_at': datetime.datetime(2011, 3, 31, 23, 12, 20), '__v': 0.0, 'title': 'Future Intranet Consultant', 'org_name': 'Schoen Inc', 'description': 'Internal Configuration Facilitator', 'start_date': datetime.datetime(2018, 4, 26, 2, 30, 19), 'status': '1', 'created_at': datetime.datetime(2018, 11, 25, 12, 18, 43)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5cd'), 'user_id': '530de06c-451b-407b-a778-bee2e36d98df', 'end_date': datetime.datetime(2012, 8, 6, 8, 25, 34), 'updated_at': datetime.datetime(2013, 8, 24, 1, 30, 16), '__v': 0.0, 'title': 'Corporate Integration Analyst', 'org_name': 'Upton-Senger', 'description': 'Investor Tactics Engineer', 'start_date': datetime.datetime(2013, 7, 11, 10, 39, 53), 'status': '1', 'created_at': datetime.datetime(2017, 11, 25, 6, 9, 23)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5ce'), 'user_id': '0402494a-d7f8-4153-a27b-ae81a9d2ab26', 'end_date': datetime.datetime(2016, 2, 29, 1, 27, 21), 'updated_at': datetime.datetime(2018, 9, 23, 21, 32, 42), '__v': 0.0, 'title': 'Human Infrastructure Executive', 'org_name': 'Moore, Labadie and Cummerata', 'description': 'Corporate Assurance Manager', 'start_date': datetime.datetime(2010, 7, 21, 18, 20, 25), 'status': '1', 'created_at': datetime.datetime(2019, 11, 19, 1, 41, 4)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5cf'), 'user_id': '63e845f4-e72e-43c2-920a-c66c0b2d50cd', 'end_date': datetime.datetime(2011, 10, 29, 11, 7, 51), 'updated_at': datetime.datetime(2015, 12, 19, 20, 58, 16), '__v': 0.0, 'title': 'International Markets Specialist', 'org_name': 'Kozey Inc', 'description': 'Legacy Functionality Administrator', 'start_date': datetime.datetime(2016, 12, 7, 1, 49, 47), 'status': '1', 'created_at': datetime.datetime(2011, 4, 22, 6, 19, 59)}
<class 'dict'>
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{'_id': ObjectId('5e54146c9da33c5135b3a97e'), 'user_id': '6ce4d0dc-1900-4a03-a08b-0287e6ee92cf', 'end_date': datetime.datetime(2017, 3, 28, 15, 33, 7), 'updated_at': datetime.datetime(2010, 6, 16, 19, 53, 44), '__v': 0.0, 'title': 'Direct Accountability Orchestrator', 'org_name': 'Pollich Inc', 'description': 'Dynamic Configuration Manager', 'start_date': datetime.datetime(2017, 12, 3, 0, 57, 1), 'status': '1', 'created_at': datetime.datetime(2016, 9, 29, 1, 43, 22)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a97f'), 'user_id': 'e6a136c3-e1a9-4787-8979-cd91ab19e05e', 'end_date': datetime.datetime(2012, 5, 14, 7, 28, 13), 'updated_at': datetime.datetime(2012, 8, 9, 9, 52, 34), '__v': 0.0, 'title': 'Principal Intranet Strategist', 'org_name': 'Bogisich, Brown and Gislason', 'description': 'Corporate Usability Officer', 'start_date': datetime.datetime(2019, 8, 7, 6, 11, 22), 'status': '1', 'created_at': datetime.datetime(2017, 2, 12, 15, 59, 27)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a980'), 'user_id': 'fb16f795-2b3b-4184-8d3d-0efa138c705b', 'end_date': datetime.datetime(2019, 11, 5, 18, 6, 47), 'updated_at': datetime.datetime(2014, 4, 22, 2, 6, 53), '__v': 0.0, 'title': 'Future Interactions Director', 'org_name': 'Grant-Haley', 'description': 'Future Intranet Designer', 'start_date': datetime.datetime(2010, 1, 18, 21, 55, 8), 'status': '1', 'created_at': datetime.datetime(2017, 11, 21, 17, 45, 43)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a981'), 'user_id': '0a70870f-e945-44d5-9a9b-bf0108ab9752', 'end_date': datetime.datetime(2017, 6, 27, 13, 0, 28), 'updated_at': datetime.datetime(2019, 1, 11, 2, 10, 45), '__v': 0.0, 'title': 'Customer Paradigm Executive', 'org_name': 'Bogisich-Rolfson', 'description': 'Forward Communications Executive', 'start_date': datetime.datetime(2018, 10, 28, 7, 35, 39), 'status': '1', 'created_at': datetime.datetime(2013, 4, 19, 4, 12, 7)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a982'), 'user_id': '7c9e29cf-2679-48c5-aee7-c332ed066ae8', 'end_date': datetime.datetime(2011, 7, 29, 2, 26, 59), 'updated_at': datetime.datetime(2015, 12, 21, 5, 12, 20), '__v': 0.0, 'title': 'Customer Factors Technician', 'org_name': 'Crona-McDermott', 'description': 'Lead Applications Specialist', 'start_date': datetime.datetime(2016, 6, 24, 11, 13, 13), 'status': '1', 'created_at': datetime.datetime(2016, 5, 2, 23, 32, 14)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a983'), 'user_id': '8d4664ad-0be6-48ac-9d92-344095380722', 'end_date': datetime.datetime(2012, 1, 14, 9, 48, 5), 'updated_at': datetime.datetime(2016, 4, 26, 11, 13, 25), '__v': 0.0, 'title': 'Global Response Designer', 'org_name': 'Rosenbaum-Lakin', 'description': 'Future Program Consultant', 'start_date': datetime.datetime(2014, 8, 27, 9, 33, 54), 'status': '1', 'created_at': datetime.datetime(2010, 7, 23, 13, 51, 16)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a984'), 'user_id': '37d3c010-c911-4583-a607-011cfda407df', 'end_date': datetime.datetime(2013, 8, 20, 0, 30, 17), 'updated_at': datetime.datetime(2015, 5, 16, 22, 50, 9), '__v': 0.0, 'title': 'Senior Marketing Planner', 'org_name': 'Conroy, Bode and Huels', 'description': 'National Brand Assistant', 'start_date': datetime.datetime(2019, 1, 17, 19, 15, 15), 'status': '1', 'created_at': datetime.datetime(2016, 4, 14, 15, 17, 16)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a985'), 'user_id': '378dd4f9-0811-40d1-8045-c04dfc72e427', 'end_date': datetime.datetime(2019, 3, 22, 13, 21, 26), 'updated_at': datetime.datetime(2019, 1, 18, 4, 37, 6), '__v': 0.0, 'title': 'International Functionality Strategist', 'org_name': 'Ward-Haley', 'description': 'Regional Accountability Supervisor', 'start_date': datetime.datetime(2014, 8, 4, 5, 52, 52), 'status': '1', 'created_at': datetime.datetime(2012, 11, 14, 18, 32, 45)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a986'), 'user_id': '3b124221-1d13-43cc-adf5-13c1bb46f556', 'end_date': datetime.datetime(2019, 3, 21, 7, 30, 38), 'updated_at': datetime.datetime(2019, 8, 29, 0, 37, 20), '__v': 0.0, 'title': 'Regional Markets Assistant', 'org_name': 'Towne, Feest and Beer', 'description': 'Dynamic Web Administrator', 'start_date': datetime.datetime(2010, 11, 24, 16, 53, 48), 'status': '1', 'created_at': datetime.datetime(2019, 3, 5, 1, 19, 22)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a987'), 'user_id': 'c6b2eb81-c13e-4199-9c5d-d503d3d79d56', 'end_date': datetime.datetime(2018, 5, 30, 17, 36, 12), 'updated_at': datetime.datetime(2010, 1, 13, 21, 4, 39), '__v': 0.0, 'title': 'Customer Response Planner', 'org_name': 'Nikolaus-Schoen', 'description': 'Global Markets Officer', 'start_date': datetime.datetime(2015, 1, 29, 6, 58, 46), 'status': '1', 'created_at': datetime.datetime(2010, 4, 9, 20, 49, 18)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a988'), 'user_id': 'f62973de-1421-4928-b3f5-0f584e6884ac', 'end_date': datetime.datetime(2013, 11, 13, 8, 0, 26), 'updated_at': datetime.datetime(2016, 5, 13, 17, 22, 7), '__v': 0.0, 'title': 'Forward Marketing Engineer', 'org_name': 'Boehm, Stehr and Grimes', 'description': 'Regional Paradigm Strategist', 'start_date': datetime.datetime(2017, 10, 28, 17, 47, 45), 'status': '1', 'created_at': datetime.datetime(2018, 6, 15, 7, 19, 7)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a989'), 'user_id': 'caa5249c-efc4-4666-badb-ab03dd174623', 'end_date': datetime.datetime(2013, 1, 24, 0, 43, 30), 'updated_at': datetime.datetime(2019, 3, 5, 14, 35, 14), '__v': 0.0, 'title': 'Future Mobility Executive', 'org_name': 'Johnston, Larkin and Murazik', 'description': 'Future Factors Designer', 'start_date': datetime.datetime(2012, 6, 29, 23, 26, 41), 'status': '1', 'created_at': datetime.datetime(2012, 6, 11, 9, 54, 20)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a98a'), 'user_id': 'f30d9d83-533f-4fad-ad99-5780f794db53', 'end_date': datetime.datetime(2018, 1, 14, 6, 12, 18), 'updated_at': datetime.datetime(2014, 11, 17, 18, 15, 47), '__v': 0.0, 'title': 'Central Usability Producer', 'org_name': 'Gibson-Boehm', 'description': 'Product Interactions Developer', 'start_date': datetime.datetime(2017, 11, 18, 15, 0, 37), 'status': '1', 'created_at': datetime.datetime(2017, 2, 26, 21, 30, 40)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a98b'), 'user_id': '871965ae-57f0-4891-ae77-4bd4fd6c743d', 'end_date': datetime.datetime(2017, 11, 12, 14, 41, 31), 'updated_at': datetime.datetime(2018, 6, 18, 4, 54, 51), '__v': 0.0, 'title': 'Future Accountability Assistant', 'org_name': 'Kuphal and Sons', 'description': 'Forward Intranet Coordinator', 'start_date': datetime.datetime(2017, 4, 1, 8, 55, 39), 'status': '1', 'created_at': datetime.datetime(2016, 3, 25, 4, 22, 49)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a98c'), 'user_id': 'e9114c92-cffb-4446-bb54-fadc12d313b8', 'end_date': datetime.datetime(2018, 2, 22, 20, 0, 39), 'updated_at': datetime.datetime(2017, 6, 5, 8, 6, 29), '__v': 0.0, 'title': 'Customer Applications Planner', 'org_name': 'Braun and Sons', 'description': 'Dynamic Paradigm Officer', 'start_date': datetime.datetime(2010, 8, 8, 12, 35, 16), 'status': '1', 'created_at': datetime.datetime(2019, 7, 5, 19, 22, 5)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a98d'), 'user_id': '97217077-9be2-4a07-a109-965a1f08e5b0', 'end_date': datetime.datetime(2010, 10, 26, 5, 3, 24), 'updated_at': datetime.datetime(2017, 6, 12, 18, 50, 25), '__v': 0.0, 'title': 'Direct Interactions Consultant', 'org_name': 'Wunsch, Zemlak and Gulgowski', 'description': 'Central Branding Analyst', 'start_date': datetime.datetime(2014, 4, 10, 8, 44, 11), 'status': '1', 'created_at': datetime.datetime(2017, 8, 25, 2, 50, 33)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a98e'), 'user_id': '19627fbe-a9e9-4f08-bc79-411dc4683686', 'end_date': datetime.datetime(2011, 5, 25, 12, 9, 55), 'updated_at': datetime.datetime(2010, 12, 13, 9, 44, 24), '__v': 0.0, 'title': 'Customer Web Strategist', 'org_name': 'Koss, Breitenberg and Hermiston', 'description': 'Regional Web Planner', 'start_date': datetime.datetime(2010, 3, 19, 1, 57, 56), 'status': '1', 'created_at': datetime.datetime(2014, 5, 31, 11, 59, 36)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a98f'), 'user_id': 'f819dca3-04ed-4c44-9418-9d9c9852f260', 'end_date': datetime.datetime(2018, 12, 9, 12, 0, 37), 'updated_at': datetime.datetime(2019, 6, 8, 18, 11, 2), '__v': 0.0, 'title': 'Central Configuration Facilitator', 'org_name': 'Schmidt Inc', 'description': 'District Data Technician', 'start_date': datetime.datetime(2019, 6, 3, 11, 23, 8), 'status': '1', 'created_at': datetime.datetime(2010, 12, 7, 12, 8, 23)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a990'), 'user_id': 'd287c8fb-e398-4690-8482-38cebb2bbac3', 'end_date': datetime.datetime(2018, 6, 2, 14, 30, 26), 'updated_at': datetime.datetime(2019, 2, 11, 20, 57, 23), '__v': 0.0, 'title': 'Corporate Markets Officer', 'org_name': 'Schulist-Thompson', 'description': 'Lead Identity Architect', 'start_date': datetime.datetime(2012, 3, 16, 13, 15), 'status': '1', 'created_at': datetime.datetime(2016, 11, 28, 3, 50, 56)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a991'), 'user_id': '5a419ddc-ef96-4948-9aaf-fbcaa11665d9', 'end_date': datetime.datetime(2014, 7, 7, 19, 21, 15), 'updated_at': datetime.datetime(2018, 2, 10, 20, 57, 33), '__v': 0.0, 'title': 'Investor Applications Strategist', 'org_name': 'Williamson LLC', 'description': 'Global Implementation Liason', 'start_date': datetime.datetime(2013, 4, 18, 3, 16, 3), 'status': '1', 'created_at': datetime.datetime(2015, 9, 14, 21, 1, 36)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a992'), 'user_id': '026cf415-30fe-413e-8f15-99984dffb9be', 'end_date': datetime.datetime(2010, 6, 29, 19, 23, 19), 'updated_at': datetime.datetime(2017, 8, 25, 10, 35, 51), '__v': 0.0, 'title': 'Forward Accountability Specialist', 'org_name': 'Conroy, Ferry and Runte', 'description': 'Product Program Facilitator', 'start_date': datetime.datetime(2015, 11, 8, 6, 9, 57), 'status': '1', 'created_at': datetime.datetime(2013, 3, 30, 22, 20, 56)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a993'), 'user_id': 'd26f25d1-5b1e-4a6f-b1ab-1c626c3532b4', 'end_date': datetime.datetime(2018, 4, 13, 2, 19, 29), 'updated_at': datetime.datetime(2018, 2, 16, 5, 33, 3), '__v': 0.0, 'title': 'National Identity Executive', 'org_name': 'Cronin, Hermiston and Bogisich', 'description': 'Internal Interactions Technician', 'start_date': datetime.datetime(2011, 3, 1, 10, 22, 18), 'status': '1', 'created_at': datetime.datetime(2014, 4, 19, 17, 21, 57)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a994'), 'user_id': 'acf03368-44d5-441d-8ab9-3b3030666f5a', 'end_date': datetime.datetime(2014, 1, 7, 7, 50, 58), 'updated_at': datetime.datetime(2017, 4, 23, 3, 14, 12), '__v': 0.0, 'title': 'District Data Supervisor', 'org_name': 'Lind-Bins', 'description': 'Internal Tactics Architect', 'start_date': datetime.datetime(2010, 11, 16, 19, 42, 1), 'status': '1', 'created_at': datetime.datetime(2013, 10, 8, 10, 50, 59)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a995'), 'user_id': 'fd3f969e-bc64-4e97-a29c-64bf1f05d5ed', 'end_date': datetime.datetime(2018, 6, 20, 18, 10, 41), 'updated_at': datetime.datetime(2019, 6, 18, 14, 45, 9), '__v': 0.0, 'title': 'Forward Optimization Agent', 'org_name': 'Stark, Lebsack and King', 'description': 'Senior Interactions Orchestrator', 'start_date': datetime.datetime(2011, 12, 20, 2, 40, 20), 'status': '1', 'created_at': datetime.datetime(2014, 12, 25, 23, 15, 57)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a996'), 'user_id': '257ac4ec-1e19-4fee-8659-3bac4b8e2d7c', 'end_date': datetime.datetime(2017, 7, 22, 0, 13, 39), 'updated_at': datetime.datetime(2011, 4, 20, 19, 19, 51), '__v': 0.0, 'title': 'Direct Web Engineer', 'org_name': 'Purdy-Hettinger', 'description': 'Senior Interactions Strategist', 'start_date': datetime.datetime(2018, 2, 17, 0, 40, 32), 'status': '1', 'created_at': datetime.datetime(2011, 6, 21, 18, 2, 52)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a997'), 'user_id': 'ff517192-b43f-4590-916a-4048aa099f85', 'end_date': datetime.datetime(2012, 11, 28, 23, 8, 7), 'updated_at': datetime.datetime(2015, 8, 5, 10, 7, 50), '__v': 0.0, 'title': 'Forward Directives Analyst', 'org_name': 'Hyatt-Aufderhar', 'description': 'Lead Branding Planner', 'start_date': datetime.datetime(2010, 4, 14, 0, 8, 36), 'status': '1', 'created_at': datetime.datetime(2012, 12, 17, 17, 2, 35)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a998'), 'user_id': 'c18cdac4-ca3f-4ffd-b01d-b05d007a70b9', 'end_date': datetime.datetime(2017, 1, 15, 10, 50, 30), 'updated_at': datetime.datetime(2019, 1, 24, 18, 27, 50), '__v': 0.0, 'title': 'Forward Response Architect', 'org_name': 'Nienow, Kuvalis and Ernser', 'description': 'Future Functionality Strategist', 'start_date': datetime.datetime(2019, 9, 12, 8, 1, 31), 'status': '1', 'created_at': datetime.datetime(2018, 7, 10, 2, 8, 45)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a999'), 'user_id': '2cf8d019-9ae4-4087-ab0e-f7d5dc96aba6', 'end_date': datetime.datetime(2013, 7, 28, 18, 46, 11), 'updated_at': datetime.datetime(2016, 3, 3, 10, 19, 7), '__v': 0.0, 'title': 'Dynamic Tactics Strategist', 'org_name': 'Turcotte-Effertz', 'description': 'Lead Applications Technician', 'start_date': datetime.datetime(2012, 7, 10, 3, 24, 38), 'status': '1', 'created_at': datetime.datetime(2011, 7, 18, 1, 27, 36)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a99a'), 'user_id': 'd81633a8-260c-45a4-8ce1-20c37f71ce7e', 'end_date': datetime.datetime(2016, 3, 9, 0, 46, 1), 'updated_at': datetime.datetime(2011, 3, 4, 1, 31, 44), '__v': 0.0, 'title': 'Global Communications Specialist', 'org_name': 'Bauch Group', 'description': 'Customer Solutions Developer', 'start_date': datetime.datetime(2016, 1, 30, 15, 7, 5), 'status': '1', 'created_at': datetime.datetime(2011, 1, 23, 18, 49, 44)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a99b'), 'user_id': '0739e1d5-a43d-45b3-a2e4-b341a91b8eb4', 'end_date': datetime.datetime(2011, 6, 25, 21, 26, 51), 'updated_at': datetime.datetime(2019, 9, 9, 14, 53, 36), '__v': 0.0, 'title': 'District Accounts Officer', 'org_name': 'Crooks-Rippin', 'description': 'Customer Intranet Developer', 'start_date': datetime.datetime(2017, 11, 22, 23, 47, 54), 'status': '1', 'created_at': datetime.datetime(2010, 4, 15, 23, 16, 33)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a99c'), 'user_id': '12c28472-6540-4a50-9143-756c7d4383eb', 'end_date': datetime.datetime(2010, 4, 11, 17, 32, 35), 'updated_at': datetime.datetime(2018, 9, 5, 6, 31, 50), '__v': 0.0, 'title': 'Direct Brand Engineer', 'org_name': 'Witting, Lemke and Hudson', 'description': 'Dynamic Usability Supervisor', 'start_date': datetime.datetime(2015, 5, 15, 23, 2, 51), 'status': '1', 'created_at': datetime.datetime(2016, 9, 24, 3, 47, 51)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a99d'), 'user_id': '66e6dbf1-8d68-4db8-8ddc-3f2c9d26c29b', 'end_date': datetime.datetime(2011, 2, 1, 8, 17), 'updated_at': datetime.datetime(2015, 10, 13, 2, 40, 14), '__v': 0.0, 'title': 'Global Program Specialist', 'org_name': 'Feeney LLC', 'description': 'Lead Quality Facilitator', 'start_date': datetime.datetime(2014, 2, 18, 8, 43, 48), 'status': '1', 'created_at': datetime.datetime(2016, 9, 11, 0, 18, 42)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a99e'), 'user_id': '742809b3-fb83-4d1d-81e0-d6d9ae006312', 'end_date': datetime.datetime(2012, 7, 9, 15, 49, 29), 'updated_at': datetime.datetime(2017, 7, 28, 21, 34, 29), '__v': 0.0, 'title': 'Product Creative Agent', 'org_name': 'McKenzie and Sons', 'description': 'Dynamic Metrics Administrator', 'start_date': datetime.datetime(2011, 12, 30, 20, 40, 23), 'status': '1', 'created_at': datetime.datetime(2019, 2, 20, 1, 53, 33)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a99f'), 'user_id': '9e571f03-3f80-49de-8263-e8cb4eed93c0', 'end_date': datetime.datetime(2011, 5, 10, 8, 21, 12), 'updated_at': datetime.datetime(2018, 8, 5, 1, 45, 26), '__v': 0.0, 'title': 'Corporate Solutions Analyst', 'org_name': 'Leffler Group', 'description': 'Corporate Security Strategist', 'start_date': datetime.datetime(2011, 1, 6, 4, 29, 43), 'status': '1', 'created_at': datetime.datetime(2013, 3, 3, 12, 26, 28)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9a0'), 'user_id': '7b04a8e3-33f0-4722-84c5-a156beb28b06', 'end_date': datetime.datetime(2013, 5, 11, 8, 46, 35), 'updated_at': datetime.datetime(2010, 5, 23, 12, 25, 41), '__v': 0.0, 'title': 'Investor Communications Planner', 'org_name': 'Bashirian LLC', 'description': 'Principal Group Supervisor', 'start_date': datetime.datetime(2017, 4, 4, 1, 49, 34), 'status': '1', 'created_at': datetime.datetime(2017, 1, 24, 13, 52, 40)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9a1'), 'user_id': 'b1e6a468-c0af-4d58-9494-13ce763c1511', 'end_date': datetime.datetime(2011, 11, 7, 1, 44, 3), 'updated_at': datetime.datetime(2019, 7, 16, 7, 7, 53), '__v': 0.0, 'title': 'District Factors Coordinator', 'org_name': 'Miller Inc', 'description': 'Forward Data Coordinator', 'start_date': datetime.datetime(2010, 6, 23, 15, 17, 8), 'status': '1', 'created_at': datetime.datetime(2013, 5, 16, 11, 14, 36)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9a2'), 'user_id': 'e66e590d-f545-4d6e-836a-88bcced8f24b', 'end_date': datetime.datetime(2017, 7, 17, 19, 40, 13), 'updated_at': datetime.datetime(2015, 6, 13, 17, 37, 43), '__v': 0.0, 'title': 'Corporate Accounts Manager', 'org_name': 'Abshire-Schulist', 'description': 'Lead Tactics Analyst', 'start_date': datetime.datetime(2017, 6, 29, 7, 56, 40), 'status': '1', 'created_at': datetime.datetime(2010, 12, 29, 10, 28, 34)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9a3'), 'user_id': '624cdce0-4c27-4232-8fe3-af43071a6dfc', 'end_date': datetime.datetime(2010, 7, 23, 16, 32, 21), 'updated_at': datetime.datetime(2013, 8, 15, 9, 58, 20), '__v': 0.0, 'title': 'Product Mobility Specialist', 'org_name': 'Hermiston-Kirlin', 'description': 'Investor Factors Analyst', 'start_date': datetime.datetime(2013, 3, 29, 6, 56, 20), 'status': '1', 'created_at': datetime.datetime(2013, 9, 8, 7, 54, 47)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9a4'), 'user_id': '30e0cb23-9417-4c90-bb07-c4dbb1234493', 'end_date': datetime.datetime(2017, 12, 16, 8, 16, 29), 'updated_at': datetime.datetime(2017, 2, 6, 16, 17, 8), '__v': 0.0, 'title': 'Dynamic Integration Technician', 'org_name': 'Ward Inc', 'description': 'Regional Operations Manager', 'start_date': datetime.datetime(2016, 2, 18, 17, 5, 7), 'status': '1', 'created_at': datetime.datetime(2014, 5, 22, 1, 43, 24)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9a5'), 'user_id': 'b4b41de5-2839-451c-b7fa-d6185c2b6b35', 'end_date': datetime.datetime(2019, 8, 21, 1, 6), 'updated_at': datetime.datetime(2014, 10, 12, 16, 44, 35), '__v': 0.0, 'title': 'Senior Optimization Architect', 'org_name': 'Kuhic-Keeling', 'description': 'Central Factors Designer', 'start_date': datetime.datetime(2017, 5, 17, 12, 34, 44), 'status': '1', 'created_at': datetime.datetime(2010, 10, 18, 15, 10, 49)}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a9a6'), 'user_id': '7a3d37ae-f82f-40ae-81f9-14b5e090dfea', 'end_date': datetime.datetime(2019, 1, 24, 8, 18), 'updated_at': datetime.datetime(2013, 6, 20, 17, 20, 37), '__v': 0.0, 'title': 'Human Research Technician', 'org_name': 'Gleichner, Littel and Dach', 'description': 'Direct Configuration Technician', 'start_date': datetime.datetime(2014, 1, 4, 2, 46, 47), 'status': '1', 'created_at': datetime.datetime(2010, 3, 23, 8, 31, 21)}
<class 'dict'>
df_UJE = DataFrame(list(job_db.UserJobExperience.find( {} )))
print(df_UJE)
_id user_id \
0 5e54146c9da33c5135b3a5bf e500b2b6-c427-471e-bba1-de07b931b28d
1 5e54146c9da33c5135b3a5c0 0aac1730-8e6f-460b-8cff-c5a231b37820
2 5e54146c9da33c5135b3a5c1 16e24997-06ec-4f54-9294-70a03a7cde73
3 5e54146c9da33c5135b3a5c2 6f2c78a8-f47d-41a1-aa6d-44d0e3be357c
4 5e54146c9da33c5135b3a5c3 b9e0d290-ed42-415e-80bc-e51c0a68e8e2
.. ... ...
995 5e54146c9da33c5135b3a9a2 e66e590d-f545-4d6e-836a-88bcced8f24b
996 5e54146c9da33c5135b3a9a3 624cdce0-4c27-4232-8fe3-af43071a6dfc
997 5e54146c9da33c5135b3a9a4 30e0cb23-9417-4c90-bb07-c4dbb1234493
998 5e54146c9da33c5135b3a9a5 b4b41de5-2839-451c-b7fa-d6185c2b6b35
999 5e54146c9da33c5135b3a9a6 7a3d37ae-f82f-40ae-81f9-14b5e090dfea
end_date updated_at __v \
0 2019-04-11 11:15:50 2018-06-27 14:47:58 0.0
1 2012-02-25 23:46:04 2011-09-30 12:25:53 0.0
2 2019-11-02 19:52:36 2012-04-30 22:22:07 0.0
3 2018-12-06 04:30:41 2011-10-25 11:26:14 0.0
4 2015-09-11 00:44:35 2012-01-07 05:21:29 0.0
.. ... ... ...
995 2017-07-17 19:40:13 2015-06-13 17:37:43 0.0
996 2010-07-23 16:32:21 2013-08-15 09:58:20 0.0
997 2017-12-16 08:16:29 2017-02-06 16:17:08 0.0
998 2019-08-21 01:06:00 2014-10-12 16:44:35 0.0
999 2019-01-24 08:18:00 2013-06-20 17:20:37 0.0
title org_name \
0 Legacy Markets Executive Stracke and Sons
1 International Marketing Executive Wuckert and Sons
2 Dynamic Markets Analyst O'Hara, Mohr and Frami
3 National Operations Developer McKenzie, Sporer and Cummerata
4 Customer Web Producer Renner Group
.. ... ...
995 Corporate Accounts Manager Abshire-Schulist
996 Product Mobility Specialist Hermiston-Kirlin
997 Dynamic Integration Technician Ward Inc
998 Senior Optimization Architect Kuhic-Keeling
999 Human Research Technician Gleichner, Littel and Dach
description start_date status \
0 Corporate Interactions Technician 2012-08-26 16:39:30 1
1 Corporate Functionality Producer 2018-04-27 23:49:42 1
2 District Optimization Facilitator 2011-05-02 11:45:07 1
3 Forward Factors Producer 2014-02-23 05:28:05 1
4 Customer Group Specialist 2013-07-09 06:17:53 1
.. ... ... ...
995 Lead Tactics Analyst 2017-06-29 07:56:40 1
996 Investor Factors Analyst 2013-03-29 06:56:20 1
997 Regional Operations Manager 2016-02-18 17:05:07 1
998 Central Factors Designer 2017-05-17 12:34:44 1
999 Direct Configuration Technician 2014-01-04 02:46:47 1
created_at
0 2018-07-14 03:50:29
1 2019-05-15 11:41:30
2 2010-06-02 01:22:21
3 2013-08-01 20:43:45
4 2016-04-27 21:43:33
.. ...
995 2010-12-29 10:28:34
996 2013-09-08 07:54:47
997 2014-05-22 01:43:24
998 2010-10-18 15:10:49
999 2010-03-23 08:31:21
[1000 rows x 11 columns]
print(df_UJE.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 1000 entries, 0 to 999 Data columns (total 11 columns): _id 1000 non-null object user_id 1000 non-null object end_date 1000 non-null datetime64[ns] updated_at 1000 non-null datetime64[ns] __v 1000 non-null float64 title 1000 non-null object org_name 1000 non-null object description 1000 non-null object start_date 1000 non-null datetime64[ns] status 1000 non-null object created_at 1000 non-null datetime64[ns] dtypes: datetime64[ns](4), float64(1), object(6) memory usage: 86.1+ KB None
myCursor7 = job_db.UserLang.find( {} )
job_db.UserLang.count_documents({})
1000
for document in myCursor7:
print(document)
print(type(document))
{'_id': ObjectId('5e54146d9da33c5135b3d8a5'), 'user_id': 'e500b2b6-c427-471e-bba1-de07b931b28d', 'status': '1', 'created_at': datetime.datetime(2011, 10, 18, 5, 42, 55), 'updated_at': datetime.datetime(2011, 2, 25, 18, 54, 47), '__v': 0.0, 'lang_id': 'ebac382e-8aaa-45c8-a06b-e36a3988ea59'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8a6'), 'user_id': '0aac1730-8e6f-460b-8cff-c5a231b37820', 'status': '1', 'created_at': datetime.datetime(2011, 6, 20, 12, 43, 14), 'updated_at': datetime.datetime(2017, 5, 11, 16, 6, 17), '__v': 0.0, 'lang_id': '54b57bc7-1fac-4442-a2c2-decaf52770ce'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8a7'), 'user_id': '16e24997-06ec-4f54-9294-70a03a7cde73', 'status': '1', 'created_at': datetime.datetime(2016, 2, 21, 6, 33, 14), 'updated_at': datetime.datetime(2017, 6, 8, 0, 43, 12), '__v': 0.0, 'lang_id': 'a15c0555-2cab-4a41-b323-c65ea20b31dd'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8a8'), 'user_id': '6f2c78a8-f47d-41a1-aa6d-44d0e3be357c', 'status': '1', 'created_at': datetime.datetime(2018, 1, 10, 18, 40, 44), 'updated_at': datetime.datetime(2012, 3, 16, 13, 8, 2), '__v': 0.0, 'lang_id': 'e71b125b-3e1c-4842-b3f6-e2ed27829d06'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8a9'), 'user_id': 'b9e0d290-ed42-415e-80bc-e51c0a68e8e2', 'status': '1', 'created_at': datetime.datetime(2010, 11, 28, 13, 21, 59), 'updated_at': datetime.datetime(2019, 5, 11, 5, 5, 19), '__v': 0.0, 'lang_id': 'b07ee932-c085-45dd-acad-46bd74a02338'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8aa'), 'user_id': 'be9e1891-bfd5-439b-a75d-086075221ae7', 'status': '1', 'created_at': datetime.datetime(2013, 5, 15, 9, 50, 27), 'updated_at': datetime.datetime(2018, 1, 4, 4, 13, 50), '__v': 0.0, 'lang_id': '20675209-8492-4f08-b0a9-7561ad5d91e0'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8ab'), 'user_id': 'b058db25-0425-4e7d-ab19-c7069a162996', 'status': '1', 'created_at': datetime.datetime(2019, 1, 1, 15, 2, 1), 'updated_at': datetime.datetime(2018, 3, 15, 3, 24, 8), '__v': 0.0, 'lang_id': '965db746-8dd7-4eae-99e7-7bbc4e10c309'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8ac'), 'user_id': 'a2cdd311-0534-4202-a45b-645766d48d14', 'status': '1', 'created_at': datetime.datetime(2016, 10, 7, 14, 49, 44), 'updated_at': datetime.datetime(2018, 2, 15, 20, 48, 19), '__v': 0.0, 'lang_id': '79ac5252-3af2-4cdf-b51b-d4b100249477'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8ad'), 'user_id': '2f2bc3db-7708-4fd9-8c3b-5cf09a20be98', 'status': '1', 'created_at': datetime.datetime(2018, 2, 15, 17, 34, 29), 'updated_at': datetime.datetime(2014, 9, 6, 23, 44, 16), '__v': 0.0, 'lang_id': '03130158-6ecb-4df3-bfcd-45ca7cba570d'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8ae'), 'user_id': '4d652de3-1519-44ef-a80c-4837af138b95', 'status': '1', 'created_at': datetime.datetime(2016, 4, 27, 19, 46, 25), 'updated_at': datetime.datetime(2018, 5, 24, 19, 20, 22), '__v': 0.0, 'lang_id': '1fa6cf31-ce30-435a-ac5c-69579117954b'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8af'), 'user_id': 'd452f1fd-f00b-4e2c-8166-4fb5d9d7090c', 'status': '1', 'created_at': datetime.datetime(2013, 5, 2, 15, 0, 6), 'updated_at': datetime.datetime(2012, 9, 23, 17, 12, 54), '__v': 0.0, 'lang_id': 'ebac382e-8aaa-45c8-a06b-e36a3988ea59'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8b0'), 'user_id': 'da5791fc-dd19-47bf-a7ee-e1f61a7a0c57', 'status': '1', 'created_at': datetime.datetime(2011, 8, 14, 20, 37, 57), 'updated_at': datetime.datetime(2018, 4, 9, 1, 33, 20), '__v': 0.0, 'lang_id': '54b57bc7-1fac-4442-a2c2-decaf52770ce'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8b1'), 'user_id': '61a45bb9-b29d-402f-81de-47be32b52b53', 'status': '1', 'created_at': datetime.datetime(2018, 7, 5, 2, 39, 55), 'updated_at': datetime.datetime(2011, 1, 19, 23, 32, 2), '__v': 0.0, 'lang_id': 'a15c0555-2cab-4a41-b323-c65ea20b31dd'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8b2'), 'user_id': 'dca68658-e8b5-4bcd-9f33-abb504e3423b', 'status': '1', 'created_at': datetime.datetime(2019, 6, 13, 18, 35, 48), 'updated_at': datetime.datetime(2018, 3, 7, 1, 53, 16), '__v': 0.0, 'lang_id': 'e71b125b-3e1c-4842-b3f6-e2ed27829d06'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8b3'), 'user_id': '530de06c-451b-407b-a778-bee2e36d98df', 'status': '1', 'created_at': datetime.datetime(2018, 3, 24, 10, 26, 31), 'updated_at': datetime.datetime(2014, 11, 14, 3, 42, 46), '__v': 0.0, 'lang_id': 'b07ee932-c085-45dd-acad-46bd74a02338'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8b4'), 'user_id': '0402494a-d7f8-4153-a27b-ae81a9d2ab26', 'status': '1', 'created_at': datetime.datetime(2018, 1, 19, 10, 58, 41), 'updated_at': datetime.datetime(2015, 8, 19, 23, 30, 30), '__v': 0.0, 'lang_id': '20675209-8492-4f08-b0a9-7561ad5d91e0'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8b5'), 'user_id': '63e845f4-e72e-43c2-920a-c66c0b2d50cd', 'status': '1', 'created_at': datetime.datetime(2013, 9, 10, 15, 25, 32), 'updated_at': datetime.datetime(2017, 8, 8, 10, 30, 28), '__v': 0.0, 'lang_id': '965db746-8dd7-4eae-99e7-7bbc4e10c309'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8b6'), 'user_id': 'f11818fa-9565-4d9a-8496-558aa74ce9b1', 'status': '1', 'created_at': datetime.datetime(2013, 5, 7, 22, 15, 52), 'updated_at': datetime.datetime(2013, 10, 1, 21, 19, 25), '__v': 0.0, 'lang_id': '79ac5252-3af2-4cdf-b51b-d4b100249477'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8b7'), 'user_id': '7df9a9c6-5792-47ea-b55c-7c112dd55fd5', 'status': '1', 'created_at': datetime.datetime(2017, 12, 4, 3, 33, 51), 'updated_at': datetime.datetime(2010, 7, 4, 18, 28, 27), '__v': 0.0, 'lang_id': '03130158-6ecb-4df3-bfcd-45ca7cba570d'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8b8'), 'user_id': '708628f9-f183-4efe-87f1-731e0653ebde', 'status': '1', 'created_at': datetime.datetime(2018, 4, 14, 15, 22, 34), 'updated_at': datetime.datetime(2019, 1, 26, 12, 17, 14), '__v': 0.0, 'lang_id': '1fa6cf31-ce30-435a-ac5c-69579117954b'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8b9'), 'user_id': '91efece7-6fa3-4fd0-b4b8-8972919a0295', 'status': '1', 'created_at': datetime.datetime(2013, 6, 14, 23, 8, 18), 'updated_at': datetime.datetime(2010, 12, 16, 21, 51, 40), '__v': 0.0, 'lang_id': 'ebac382e-8aaa-45c8-a06b-e36a3988ea59'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8ba'), 'user_id': '06ff4f50-9faa-4b7f-98cc-ff0d60f25f49', 'status': '1', 'created_at': datetime.datetime(2010, 11, 13, 9, 52, 31), 'updated_at': datetime.datetime(2010, 6, 17, 12, 20, 5), '__v': 0.0, 'lang_id': '54b57bc7-1fac-4442-a2c2-decaf52770ce'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8bb'), 'user_id': '42ecf636-5e87-4621-bb6c-f034cf2c2ee1', 'status': '1', 'created_at': datetime.datetime(2014, 8, 14, 12, 13, 47), 'updated_at': datetime.datetime(2016, 8, 10, 21, 17, 54), '__v': 0.0, 'lang_id': 'a15c0555-2cab-4a41-b323-c65ea20b31dd'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8bc'), 'user_id': '8e6ca72a-eade-453c-b367-b5ad95280e35', 'status': '1', 'created_at': datetime.datetime(2018, 5, 8, 16, 28, 39), 'updated_at': datetime.datetime(2011, 12, 22, 15, 43, 30), '__v': 0.0, 'lang_id': 'e71b125b-3e1c-4842-b3f6-e2ed27829d06'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8bd'), 'user_id': 'e2137944-bc49-4869-919c-07b677b95f3f', 'status': '1', 'created_at': datetime.datetime(2016, 10, 18, 22, 50, 4), 'updated_at': datetime.datetime(2015, 4, 5, 13, 30, 47), '__v': 0.0, 'lang_id': 'b07ee932-c085-45dd-acad-46bd74a02338'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8be'), 'user_id': '075eed2a-e4cb-4fd1-abab-ab3d2a590862', 'status': '1', 'created_at': datetime.datetime(2016, 10, 12, 20, 41, 30), 'updated_at': datetime.datetime(2012, 7, 21, 4, 35, 27), '__v': 0.0, 'lang_id': '20675209-8492-4f08-b0a9-7561ad5d91e0'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8bf'), 'user_id': '2808bc43-e1ca-4bb6-83c8-17e29a5ddfa3', 'status': '1', 'created_at': datetime.datetime(2015, 1, 28, 23, 25, 52), 'updated_at': datetime.datetime(2010, 6, 28, 1, 55, 15), '__v': 0.0, 'lang_id': '965db746-8dd7-4eae-99e7-7bbc4e10c309'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8c0'), 'user_id': 'b745fcba-9add-4be8-a2fe-537845920293', 'status': '1', 'created_at': datetime.datetime(2013, 11, 19, 11, 59, 47), 'updated_at': datetime.datetime(2010, 4, 17, 12, 7, 42), '__v': 0.0, 'lang_id': '79ac5252-3af2-4cdf-b51b-d4b100249477'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8c1'), 'user_id': 'd91108dd-3d19-49ba-af3c-f3793af0738c', 'status': '1', 'created_at': datetime.datetime(2017, 5, 26, 17, 46, 42), 'updated_at': datetime.datetime(2014, 12, 31, 22, 36, 9), '__v': 0.0, 'lang_id': '03130158-6ecb-4df3-bfcd-45ca7cba570d'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8c2'), 'user_id': '914fe9ab-6ef1-4a40-86e5-61da519a1281', 'status': '1', 'created_at': datetime.datetime(2019, 3, 27, 15, 18, 51), 'updated_at': datetime.datetime(2014, 3, 25, 21, 8, 49), '__v': 0.0, 'lang_id': '1fa6cf31-ce30-435a-ac5c-69579117954b'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8c3'), 'user_id': 'e8df8cc1-4a8d-43bf-9aa5-ddabbfa0e8bf', 'status': '1', 'created_at': datetime.datetime(2018, 2, 13, 14, 16), 'updated_at': datetime.datetime(2013, 5, 27, 1, 22, 46), '__v': 0.0, 'lang_id': 'ebac382e-8aaa-45c8-a06b-e36a3988ea59'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8c4'), 'user_id': '8eb4d04e-8e10-4bbb-8ce9-96ebda9c360c', 'status': '1', 'created_at': datetime.datetime(2013, 3, 12, 7, 17, 22), 'updated_at': datetime.datetime(2017, 5, 27, 17, 32, 2), '__v': 0.0, 'lang_id': '54b57bc7-1fac-4442-a2c2-decaf52770ce'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8c5'), 'user_id': '2434ae64-80b7-4d7b-a836-d89922d17ee0', 'status': '1', 'created_at': datetime.datetime(2016, 1, 10, 12, 33, 48), 'updated_at': datetime.datetime(2010, 2, 1, 19, 54, 57), '__v': 0.0, 'lang_id': 'a15c0555-2cab-4a41-b323-c65ea20b31dd'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8c6'), 'user_id': '20d1d42d-5e57-4b4c-8184-581009df67e6', 'status': '1', 'created_at': datetime.datetime(2015, 3, 26, 9, 12, 33), 'updated_at': datetime.datetime(2013, 9, 19, 17, 11, 59), '__v': 0.0, 'lang_id': 'e71b125b-3e1c-4842-b3f6-e2ed27829d06'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8c7'), 'user_id': 'ebfb9678-2517-4630-b179-c7c70c5a2309', 'status': '1', 'created_at': datetime.datetime(2015, 1, 21, 10, 43, 39), 'updated_at': datetime.datetime(2015, 5, 2, 20, 47, 10), '__v': 0.0, 'lang_id': 'b07ee932-c085-45dd-acad-46bd74a02338'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8c8'), 'user_id': '3053af1e-304c-49d5-893a-8a263d0d4402', 'status': '1', 'created_at': datetime.datetime(2012, 2, 16, 10, 8, 38), 'updated_at': datetime.datetime(2015, 4, 3, 1, 35, 20), '__v': 0.0, 'lang_id': '20675209-8492-4f08-b0a9-7561ad5d91e0'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8c9'), 'user_id': '0c4f5605-06db-426c-b1bd-54fe0a71925d', 'status': '1', 'created_at': datetime.datetime(2019, 6, 29, 16, 25, 37), 'updated_at': datetime.datetime(2019, 10, 31, 7, 24, 41), '__v': 0.0, 'lang_id': '965db746-8dd7-4eae-99e7-7bbc4e10c309'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8ca'), 'user_id': '9bfa2f99-a9b7-4ff6-99bd-2e31a5a01130', 'status': '1', 'created_at': datetime.datetime(2013, 9, 24, 18, 28, 30), 'updated_at': datetime.datetime(2016, 10, 17, 21, 27, 38), '__v': 0.0, 'lang_id': '79ac5252-3af2-4cdf-b51b-d4b100249477'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8cb'), 'user_id': 'b3d3f41f-4de2-4a8f-a8ff-d6ad20747734', 'status': '1', 'created_at': datetime.datetime(2019, 8, 12, 8, 40, 32), 'updated_at': datetime.datetime(2012, 9, 24, 22, 28, 16), '__v': 0.0, 'lang_id': '03130158-6ecb-4df3-bfcd-45ca7cba570d'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8cc'), 'user_id': '0a8fd3dc-b1a0-44ec-a1ab-08e30b5ed036', 'status': '1', 'created_at': datetime.datetime(2016, 5, 27, 23, 32, 45), 'updated_at': datetime.datetime(2014, 10, 2, 2, 5, 4), '__v': 0.0, 'lang_id': '1fa6cf31-ce30-435a-ac5c-69579117954b'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8cd'), 'user_id': '219d9987-68e2-4826-9506-3d16e75a1e28', 'status': '1', 'created_at': datetime.datetime(2013, 7, 9, 22, 14, 10), 'updated_at': datetime.datetime(2010, 6, 22, 21, 37, 51), '__v': 0.0, 'lang_id': 'ebac382e-8aaa-45c8-a06b-e36a3988ea59'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8ce'), 'user_id': '6b96062b-aabc-4650-8e2d-b6f95f1a565c', 'status': '1', 'created_at': datetime.datetime(2011, 8, 31, 23, 34, 36), 'updated_at': datetime.datetime(2016, 12, 1, 0, 36, 15), '__v': 0.0, 'lang_id': '54b57bc7-1fac-4442-a2c2-decaf52770ce'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3d8cf'), 'user_id': '59cee582-55ce-4d7e-bf1d-01723a6da189', 'status': '1', 'created_at': datetime.datetime(2010, 8, 14, 7, 31, 38), 'updated_at': datetime.datetime(2016, 6, 19, 16, 12, 41), '__v': 0.0, 'lang_id': 'a15c0555-2cab-4a41-b323-c65ea20b31dd'}
<class 'dict'>
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{'_id': ObjectId('5e54146d9da33c5135b3dc8a'), 'user_id': '30e0cb23-9417-4c90-bb07-c4dbb1234493', 'status': '1', 'created_at': datetime.datetime(2018, 3, 13, 13, 58, 48), 'updated_at': datetime.datetime(2013, 6, 23, 4, 10, 12), '__v': 0.0, 'lang_id': '79ac5252-3af2-4cdf-b51b-d4b100249477'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc8b'), 'user_id': 'b4b41de5-2839-451c-b7fa-d6185c2b6b35', 'status': '1', 'created_at': datetime.datetime(2011, 7, 13, 10, 5, 36), 'updated_at': datetime.datetime(2013, 6, 24, 14, 41, 14), '__v': 0.0, 'lang_id': '03130158-6ecb-4df3-bfcd-45ca7cba570d'}
<class 'dict'>
{'_id': ObjectId('5e54146d9da33c5135b3dc8c'), 'user_id': '7a3d37ae-f82f-40ae-81f9-14b5e090dfea', 'status': '1', 'created_at': datetime.datetime(2018, 1, 11, 18, 17, 2), 'updated_at': datetime.datetime(2010, 8, 22, 4, 39, 52), '__v': 0.0, 'lang_id': '1fa6cf31-ce30-435a-ac5c-69579117954b'}
<class 'dict'>
df_UL = DataFrame(list(job_db.UserLang.find( {} )))
print(df_UL)
_id user_id status \
0 5e54146d9da33c5135b3d8a5 e500b2b6-c427-471e-bba1-de07b931b28d 1
1 5e54146d9da33c5135b3d8a6 0aac1730-8e6f-460b-8cff-c5a231b37820 1
2 5e54146d9da33c5135b3d8a7 16e24997-06ec-4f54-9294-70a03a7cde73 1
3 5e54146d9da33c5135b3d8a8 6f2c78a8-f47d-41a1-aa6d-44d0e3be357c 1
4 5e54146d9da33c5135b3d8a9 b9e0d290-ed42-415e-80bc-e51c0a68e8e2 1
.. ... ... ...
995 5e54146d9da33c5135b3dc88 e66e590d-f545-4d6e-836a-88bcced8f24b 1
996 5e54146d9da33c5135b3dc89 624cdce0-4c27-4232-8fe3-af43071a6dfc 1
997 5e54146d9da33c5135b3dc8a 30e0cb23-9417-4c90-bb07-c4dbb1234493 1
998 5e54146d9da33c5135b3dc8b b4b41de5-2839-451c-b7fa-d6185c2b6b35 1
999 5e54146d9da33c5135b3dc8c 7a3d37ae-f82f-40ae-81f9-14b5e090dfea 1
created_at updated_at __v \
0 2011-10-18 05:42:55 2011-02-25 18:54:47 0.0
1 2011-06-20 12:43:14 2017-05-11 16:06:17 0.0
2 2016-02-21 06:33:14 2017-06-08 00:43:12 0.0
3 2018-01-10 18:40:44 2012-03-16 13:08:02 0.0
4 2010-11-28 13:21:59 2019-05-11 05:05:19 0.0
.. ... ... ...
995 2013-12-30 08:34:59 2013-09-28 20:49:00 0.0
996 2013-04-12 01:56:41 2018-05-31 10:47:40 0.0
997 2018-03-13 13:58:48 2013-06-23 04:10:12 0.0
998 2011-07-13 10:05:36 2013-06-24 14:41:14 0.0
999 2018-01-11 18:17:02 2010-08-22 04:39:52 0.0
lang_id
0 ebac382e-8aaa-45c8-a06b-e36a3988ea59
1 54b57bc7-1fac-4442-a2c2-decaf52770ce
2 a15c0555-2cab-4a41-b323-c65ea20b31dd
3 e71b125b-3e1c-4842-b3f6-e2ed27829d06
4 b07ee932-c085-45dd-acad-46bd74a02338
.. ...
995 20675209-8492-4f08-b0a9-7561ad5d91e0
996 965db746-8dd7-4eae-99e7-7bbc4e10c309
997 79ac5252-3af2-4cdf-b51b-d4b100249477
998 03130158-6ecb-4df3-bfcd-45ca7cba570d
999 1fa6cf31-ce30-435a-ac5c-69579117954b
[1000 rows x 7 columns]
print(df_UL.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 1000 entries, 0 to 999 Data columns (total 7 columns): _id 1000 non-null object user_id 1000 non-null object status 1000 non-null object created_at 1000 non-null datetime64[ns] updated_at 1000 non-null datetime64[ns] __v 1000 non-null float64 lang_id 1000 non-null object dtypes: datetime64[ns](2), float64(1), object(4) memory usage: 54.8+ KB None
myCursor8 = job_db.UserSkills.find( {} )
job_db.UserSkills.count_documents({})
1000
for document in myCursor8:
print(document)
print(type(document))
{'_id': ObjectId('5e54146c9da33c5135b3a1d5'), 'rate': 4, 'created_at': datetime.datetime(2019, 4, 11, 11, 15, 50), 'updated_at': datetime.datetime(2018, 6, 27, 14, 47, 58), '__v': 0.0, 'skill_id': '9105b57b-443d-4e2e-a035-a5004cb59b78', 'user_id': 'e500b2b6-c427-471e-bba1-de07b931b28d'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1d6'), 'rate': 2, 'created_at': datetime.datetime(2012, 8, 26, 16, 39, 30), 'updated_at': datetime.datetime(2018, 7, 14, 3, 50, 29), '__v': 0.0, 'skill_id': '8fd9fd5e-945b-4879-8657-c951293d1d8b', 'user_id': '0aac1730-8e6f-460b-8cff-c5a231b37820'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1d7'), 'rate': 1, 'created_at': datetime.datetime(2012, 2, 25, 23, 46, 4), 'updated_at': datetime.datetime(2011, 9, 30, 12, 25, 53), '__v': 0.0, 'skill_id': '6e01f13f-7880-4b61-8cd9-4fd7c76ca06a', 'user_id': '16e24997-06ec-4f54-9294-70a03a7cde73'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1d8'), 'rate': 5, 'created_at': datetime.datetime(2018, 4, 27, 23, 49, 42), 'updated_at': datetime.datetime(2019, 5, 15, 11, 41, 30), '__v': 0.0, 'skill_id': 'd2c053c2-b29e-4145-bdeb-7f2530da33c4', 'user_id': '6f2c78a8-f47d-41a1-aa6d-44d0e3be357c'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1d9'), 'rate': 3, 'created_at': datetime.datetime(2019, 11, 2, 19, 52, 36), 'updated_at': datetime.datetime(2012, 4, 30, 22, 22, 7), '__v': 0.0, 'skill_id': '2203fb5a-b8d2-4efc-855e-ddde0a699da6', 'user_id': 'b9e0d290-ed42-415e-80bc-e51c0a68e8e2'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1da'), 'rate': 2, 'created_at': datetime.datetime(2011, 5, 2, 11, 45, 7), 'updated_at': datetime.datetime(2010, 6, 2, 1, 22, 21), '__v': 0.0, 'skill_id': '8962c71c-ad15-400e-b219-e9b8c9d13388', 'user_id': 'be9e1891-bfd5-439b-a75d-086075221ae7'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1db'), 'rate': 5, 'created_at': datetime.datetime(2018, 12, 6, 4, 30, 41), 'updated_at': datetime.datetime(2011, 10, 25, 11, 26, 14), '__v': 0.0, 'skill_id': 'b5b0c14d-31a2-4aca-b2aa-8c0d2003f009', 'user_id': 'b058db25-0425-4e7d-ab19-c7069a162996'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1dc'), 'rate': 5, 'created_at': datetime.datetime(2014, 2, 23, 5, 28, 5), 'updated_at': datetime.datetime(2013, 8, 1, 20, 43, 45), '__v': 0.0, 'skill_id': '816aa01b-c80d-4112-8ebd-041d0c81cbb6', 'user_id': 'a2cdd311-0534-4202-a45b-645766d48d14'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1dd'), 'rate': 3, 'created_at': datetime.datetime(2015, 9, 11, 0, 44, 35), 'updated_at': datetime.datetime(2012, 1, 7, 5, 21, 29), '__v': 0.0, 'skill_id': 'aa525a89-8c0b-4330-af16-a3958fe7475f', 'user_id': '2f2bc3db-7708-4fd9-8c3b-5cf09a20be98'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1de'), 'rate': 2, 'created_at': datetime.datetime(2013, 7, 9, 6, 17, 53), 'updated_at': datetime.datetime(2016, 4, 27, 21, 43, 33), '__v': 0.0, 'skill_id': 'da57f6ec-4f6a-4662-80b7-a18beebafe13', 'user_id': '4d652de3-1519-44ef-a80c-4837af138b95'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1df'), 'rate': 5, 'created_at': datetime.datetime(2015, 10, 4, 0, 54, 36), 'updated_at': datetime.datetime(2015, 12, 10, 16, 39, 50), '__v': 0.0, 'skill_id': '9d3b8694-801c-46f6-9fbb-16eb0f3af370', 'user_id': 'd452f1fd-f00b-4e2c-8166-4fb5d9d7090c'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1e0'), 'rate': 3, 'created_at': datetime.datetime(2016, 12, 15, 22, 11, 9), 'updated_at': datetime.datetime(2013, 12, 1, 12, 1, 28), '__v': 0.0, 'skill_id': '3e0d68d2-f544-496c-811d-698cf6d1fa3a', 'user_id': 'da5791fc-dd19-47bf-a7ee-e1f61a7a0c57'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1e1'), 'rate': 5, 'created_at': datetime.datetime(2016, 6, 17, 5, 41), 'updated_at': datetime.datetime(2014, 2, 22, 16, 21, 53), '__v': 0.0, 'skill_id': '85a7b0dc-afbb-4ded-a6f4-76cbae32a679', 'user_id': '61a45bb9-b29d-402f-81de-47be32b52b53'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1e2'), 'rate': 5, 'created_at': datetime.datetime(2015, 1, 31, 14, 51, 26), 'updated_at': datetime.datetime(2014, 8, 21, 4, 14, 43), '__v': 0.0, 'skill_id': 'abd94b87-17d6-475e-a4ac-c72470e8610c', 'user_id': 'dca68658-e8b5-4bcd-9f33-abb504e3423b'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1e3'), 'rate': 1, 'created_at': datetime.datetime(2011, 4, 3, 22, 54, 57), 'updated_at': datetime.datetime(2014, 2, 5, 17, 59, 18), '__v': 0.0, 'skill_id': 'b0379bb0-d71f-470f-842a-cca9ade3c082', 'user_id': '530de06c-451b-407b-a778-bee2e36d98df'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1e4'), 'rate': 2, 'created_at': datetime.datetime(2010, 7, 27, 20, 22, 2), 'updated_at': datetime.datetime(2012, 7, 27, 20, 53, 6), '__v': 0.0, 'skill_id': 'a7dc08ea-d7fb-4925-ab1d-e8e9c464b6bb', 'user_id': '0402494a-d7f8-4153-a27b-ae81a9d2ab26'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1e5'), 'rate': 5, 'created_at': datetime.datetime(2019, 9, 14, 11, 21, 34), 'updated_at': datetime.datetime(2017, 7, 26, 13, 56, 22), '__v': 0.0, 'skill_id': '5a8ee43f-21c9-4ffe-9625-b5d2c991ea7f', 'user_id': '63e845f4-e72e-43c2-920a-c66c0b2d50cd'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1e6'), 'rate': 1, 'created_at': datetime.datetime(2018, 11, 3, 2, 7, 12), 'updated_at': datetime.datetime(2011, 5, 24, 2, 34, 31), '__v': 0.0, 'skill_id': 'f69720de-0044-4011-9c3c-dbcb2d37170f', 'user_id': 'f11818fa-9565-4d9a-8496-558aa74ce9b1'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1e7'), 'rate': 5, 'created_at': datetime.datetime(2010, 9, 11, 0, 56, 50), 'updated_at': datetime.datetime(2013, 11, 27, 15, 46, 18), '__v': 0.0, 'skill_id': '05d424b9-5396-4915-a25b-da0fee9eda34', 'user_id': '7df9a9c6-5792-47ea-b55c-7c112dd55fd5'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1e8'), 'rate': 5, 'created_at': datetime.datetime(2011, 4, 19, 18, 16, 28), 'updated_at': datetime.datetime(2016, 11, 1, 0, 0, 16), '__v': 0.0, 'skill_id': '850a59a6-86d9-4d92-a6b9-b7444b81c196', 'user_id': '708628f9-f183-4efe-87f1-731e0653ebde'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1e9'), 'rate': 3, 'created_at': datetime.datetime(2012, 1, 26, 7, 35, 31), 'updated_at': datetime.datetime(2013, 11, 18, 14, 15, 29), '__v': 0.0, 'skill_id': '660d4d81-1204-4664-8f39-9a032863cfdb', 'user_id': '91efece7-6fa3-4fd0-b4b8-8972919a0295'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1ea'), 'rate': 5, 'created_at': datetime.datetime(2013, 5, 15, 16, 36, 57), 'updated_at': datetime.datetime(2012, 8, 18, 2, 51, 57), '__v': 0.0, 'skill_id': '4e15c9b8-5aec-4bb5-b453-8bdabbf54691', 'user_id': '06ff4f50-9faa-4b7f-98cc-ff0d60f25f49'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1eb'), 'rate': 4, 'created_at': datetime.datetime(2019, 10, 31, 15, 25, 1), 'updated_at': datetime.datetime(2012, 12, 29, 11, 48, 17), '__v': 0.0, 'skill_id': 'd5c99096-ea37-4a39-8c8d-1f231cab2a59', 'user_id': '42ecf636-5e87-4621-bb6c-f034cf2c2ee1'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1ec'), 'rate': 4, 'created_at': datetime.datetime(2016, 5, 19, 8, 26, 44), 'updated_at': datetime.datetime(2017, 4, 3, 6, 24, 8), '__v': 0.0, 'skill_id': 'd75f06aa-68ac-4548-82ce-4f1e82f96b8d', 'user_id': '8e6ca72a-eade-453c-b367-b5ad95280e35'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1ed'), 'rate': 1, 'created_at': datetime.datetime(2011, 3, 28, 11, 1, 25), 'updated_at': datetime.datetime(2015, 10, 10, 23, 19, 37), '__v': 0.0, 'skill_id': '8ac8040d-161d-46fc-8694-b1d822efdbab', 'user_id': 'e2137944-bc49-4869-919c-07b677b95f3f'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1ee'), 'rate': 5, 'created_at': datetime.datetime(2015, 9, 2, 17, 43, 57), 'updated_at': datetime.datetime(2010, 2, 21, 20, 2, 41), '__v': 0.0, 'skill_id': 'a82fa206-c113-42de-bddd-e5acd11a000c', 'user_id': '075eed2a-e4cb-4fd1-abab-ab3d2a590862'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1ef'), 'rate': 4, 'created_at': datetime.datetime(2010, 5, 28, 22, 27, 33), 'updated_at': datetime.datetime(2011, 3, 31, 23, 12, 20), '__v': 0.0, 'skill_id': '3239b7de-5877-4ef3-908a-04501a56e960', 'user_id': '2808bc43-e1ca-4bb6-83c8-17e29a5ddfa3'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1f0'), 'rate': 4, 'created_at': datetime.datetime(2018, 4, 26, 2, 30, 19), 'updated_at': datetime.datetime(2018, 11, 25, 12, 18, 43), '__v': 0.0, 'skill_id': '360b8daa-2cc6-434c-8238-e0da1f490143', 'user_id': 'b745fcba-9add-4be8-a2fe-537845920293'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1f1'), 'rate': 5, 'created_at': datetime.datetime(2012, 8, 6, 8, 25, 34), 'updated_at': datetime.datetime(2013, 8, 24, 1, 30, 16), '__v': 0.0, 'skill_id': 'df2e3d8f-e4a9-4d70-83c3-c73750e65409', 'user_id': 'd91108dd-3d19-49ba-af3c-f3793af0738c'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1f2'), 'rate': 3, 'created_at': datetime.datetime(2013, 7, 11, 10, 39, 53), 'updated_at': datetime.datetime(2017, 11, 25, 6, 9, 23), '__v': 0.0, 'skill_id': 'a50bb9c0-c56c-4ce1-95d0-1839423c9bc8', 'user_id': '914fe9ab-6ef1-4a40-86e5-61da519a1281'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1f3'), 'rate': 2, 'created_at': datetime.datetime(2016, 2, 29, 1, 27, 21), 'updated_at': datetime.datetime(2018, 9, 23, 21, 32, 42), '__v': 0.0, 'skill_id': 'de8d32ac-bfd9-4039-b9a5-f1f6ca9a1a13', 'user_id': 'e8df8cc1-4a8d-43bf-9aa5-ddabbfa0e8bf'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1f4'), 'rate': 2, 'created_at': datetime.datetime(2010, 7, 21, 18, 20, 25), 'updated_at': datetime.datetime(2019, 11, 19, 1, 41, 4), '__v': 0.0, 'skill_id': '8ad09200-d3e9-487a-9a5e-369009bfdca2', 'user_id': '8eb4d04e-8e10-4bbb-8ce9-96ebda9c360c'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1f5'), 'rate': 2, 'created_at': datetime.datetime(2011, 10, 29, 11, 7, 51), 'updated_at': datetime.datetime(2015, 12, 19, 20, 58, 16), '__v': 0.0, 'skill_id': '1c1ff47d-417a-4b8c-9d0c-9ccea9392d93', 'user_id': '2434ae64-80b7-4d7b-a836-d89922d17ee0'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1f6'), 'rate': 5, 'created_at': datetime.datetime(2016, 12, 7, 1, 49, 47), 'updated_at': datetime.datetime(2011, 4, 22, 6, 19, 59), '__v': 0.0, 'skill_id': '10254606-8215-48c7-bfb7-859b03a41847', 'user_id': '20d1d42d-5e57-4b4c-8184-581009df67e6'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1f7'), 'rate': 5, 'created_at': datetime.datetime(2017, 2, 6, 0, 49, 46), 'updated_at': datetime.datetime(2016, 8, 13, 5, 30, 20), '__v': 0.0, 'skill_id': 'f4d07648-a8ad-427a-bf20-94acfd7a5e88', 'user_id': 'ebfb9678-2517-4630-b179-c7c70c5a2309'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1f8'), 'rate': 3, 'created_at': datetime.datetime(2015, 3, 19, 17, 4, 30), 'updated_at': datetime.datetime(2018, 12, 6, 4, 51, 6), '__v': 0.0, 'skill_id': 'b7260e5d-ddab-4e38-b4be-f292b65dca0f', 'user_id': '3053af1e-304c-49d5-893a-8a263d0d4402'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1f9'), 'rate': 2, 'created_at': datetime.datetime(2013, 1, 18, 0, 24, 42), 'updated_at': datetime.datetime(2018, 4, 15, 5, 8, 2), '__v': 0.0, 'skill_id': '61e5b7bd-8230-4162-865a-72e12a6926d3', 'user_id': '0c4f5605-06db-426c-b1bd-54fe0a71925d'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1fa'), 'rate': 5, 'created_at': datetime.datetime(2016, 6, 30, 22, 42, 52), 'updated_at': datetime.datetime(2018, 11, 21, 22, 53, 56), '__v': 0.0, 'skill_id': 'da5c5449-dfef-4e66-b273-1b4061c30eb4', 'user_id': '9bfa2f99-a9b7-4ff6-99bd-2e31a5a01130'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1fb'), 'rate': 4, 'created_at': datetime.datetime(2018, 12, 1, 3, 22, 28), 'updated_at': datetime.datetime(2019, 7, 18, 14, 2, 27), '__v': 0.0, 'skill_id': '6ff1c04a-b789-44d3-8db1-f384800522f0', 'user_id': 'b3d3f41f-4de2-4a8f-a8ff-d6ad20747734'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1fc'), 'rate': 5, 'created_at': datetime.datetime(2010, 4, 19, 13, 29, 39), 'updated_at': datetime.datetime(2013, 11, 21, 8, 27, 59), '__v': 0.0, 'skill_id': '20fdcbd1-4a5a-49ed-b09a-bc5e2f4cb904', 'user_id': '0a8fd3dc-b1a0-44ec-a1ab-08e30b5ed036'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1fd'), 'rate': 5, 'created_at': datetime.datetime(2011, 8, 12, 3, 23, 14), 'updated_at': datetime.datetime(2017, 10, 13, 0, 6, 50), '__v': 0.0, 'skill_id': 'e7a44f09-a278-4991-b167-18b3ade3778a', 'user_id': '219d9987-68e2-4826-9506-3d16e75a1e28'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a1fe'), 'rate': 4, 'created_at': datetime.datetime(2017, 1, 10, 0, 14, 52), 'updated_at': datetime.datetime(2016, 11, 9, 10, 54, 56), '__v': 0.0, 'skill_id': '4cdb8dff-55a6-44eb-80fd-6fc0b3ecd77e', 'user_id': '6b96062b-aabc-4650-8e2d-b6f95f1a565c'}
<class 'dict'>
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{'_id': ObjectId('5e54146c9da33c5135b3a5b3'), 'rate': 3, 'created_at': datetime.datetime(2012, 6, 11, 22, 45, 52), 'updated_at': datetime.datetime(2010, 5, 6, 23, 8, 19), '__v': 0.0, 'skill_id': '6f283e6b-bed7-4b57-aa13-aea825e0725a', 'user_id': '66e6dbf1-8d68-4db8-8ddc-3f2c9d26c29b'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5b4'), 'rate': 1, 'created_at': datetime.datetime(2012, 11, 27, 13, 11, 40), 'updated_at': datetime.datetime(2014, 12, 10, 19, 3, 29), '__v': 0.0, 'skill_id': '2dee3366-6d80-4dcd-ac0e-928adeac30b0', 'user_id': '742809b3-fb83-4d1d-81e0-d6d9ae006312'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5b5'), 'rate': 5, 'created_at': datetime.datetime(2016, 3, 26, 9, 12, 19), 'updated_at': datetime.datetime(2014, 6, 20, 20, 26, 37), '__v': 0.0, 'skill_id': '955a698a-3a8c-46a4-9843-d5679697fbf7', 'user_id': '9e571f03-3f80-49de-8263-e8cb4eed93c0'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5b6'), 'rate': 3, 'created_at': datetime.datetime(2017, 4, 4, 8, 35, 14), 'updated_at': datetime.datetime(2015, 1, 28, 18, 31, 37), '__v': 0.0, 'skill_id': '31f272b4-7762-403b-8393-20cc7f9d1c78', 'user_id': '7b04a8e3-33f0-4722-84c5-a156beb28b06'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5b7'), 'rate': 2, 'created_at': datetime.datetime(2012, 6, 18, 7, 19, 29), 'updated_at': datetime.datetime(2011, 1, 7, 2, 34, 41), '__v': 0.0, 'skill_id': '720a7eb7-93d2-4bf8-bd25-9f645d74522c', 'user_id': 'b1e6a468-c0af-4d58-9494-13ce763c1511'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5b8'), 'rate': 1, 'created_at': datetime.datetime(2016, 6, 3, 18, 10, 3), 'updated_at': datetime.datetime(2015, 7, 12, 5, 40, 47), '__v': 0.0, 'skill_id': '7bb97c01-39de-4feb-8c27-63e2d19e56e0', 'user_id': 'e66e590d-f545-4d6e-836a-88bcced8f24b'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5b9'), 'rate': 1, 'created_at': datetime.datetime(2019, 10, 20, 5, 40, 29), 'updated_at': datetime.datetime(2011, 2, 26, 9, 13, 9), '__v': 0.0, 'skill_id': 'f7e47ad5-12d0-44a2-aeb2-c1fbd6115147', 'user_id': '624cdce0-4c27-4232-8fe3-af43071a6dfc'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5ba'), 'rate': 3, 'created_at': datetime.datetime(2016, 5, 21, 15, 38, 17), 'updated_at': datetime.datetime(2016, 3, 27, 16, 32, 2), '__v': 0.0, 'skill_id': '2108310e-e76f-4c58-b15f-220f77eb63bb', 'user_id': '30e0cb23-9417-4c90-bb07-c4dbb1234493'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5bb'), 'rate': 4, 'created_at': datetime.datetime(2010, 10, 19, 1, 11, 6), 'updated_at': datetime.datetime(2019, 5, 16, 21, 53, 9), '__v': 0.0, 'skill_id': 'abbeb8a4-bca9-4ca4-9a89-07afcacda953', 'user_id': 'b4b41de5-2839-451c-b7fa-d6185c2b6b35'}
<class 'dict'>
{'_id': ObjectId('5e54146c9da33c5135b3a5bc'), 'rate': 3, 'created_at': datetime.datetime(2015, 10, 13, 5, 52, 57), 'updated_at': datetime.datetime(2016, 1, 27, 13, 3, 18), '__v': 0.0, 'skill_id': 'ee11ba73-d4bc-4626-95de-bc28c53cdfe3', 'user_id': '7a3d37ae-f82f-40ae-81f9-14b5e090dfea'}
<class 'dict'>
df_US = DataFrame(list(job_db.UserSkills.find( {} )))
print(df_US)
_id rate created_at updated_at \
0 5e54146c9da33c5135b3a1d5 4 2019-04-11 11:15:50 2018-06-27 14:47:58
1 5e54146c9da33c5135b3a1d6 2 2012-08-26 16:39:30 2018-07-14 03:50:29
2 5e54146c9da33c5135b3a1d7 1 2012-02-25 23:46:04 2011-09-30 12:25:53
3 5e54146c9da33c5135b3a1d8 5 2018-04-27 23:49:42 2019-05-15 11:41:30
4 5e54146c9da33c5135b3a1d9 3 2019-11-02 19:52:36 2012-04-30 22:22:07
.. ... ... ... ...
995 5e54146c9da33c5135b3a5b8 1 2016-06-03 18:10:03 2015-07-12 05:40:47
996 5e54146c9da33c5135b3a5b9 1 2019-10-20 05:40:29 2011-02-26 09:13:09
997 5e54146c9da33c5135b3a5ba 3 2016-05-21 15:38:17 2016-03-27 16:32:02
998 5e54146c9da33c5135b3a5bb 4 2010-10-19 01:11:06 2019-05-16 21:53:09
999 5e54146c9da33c5135b3a5bc 3 2015-10-13 05:52:57 2016-01-27 13:03:18
__v skill_id \
0 0.0 9105b57b-443d-4e2e-a035-a5004cb59b78
1 0.0 8fd9fd5e-945b-4879-8657-c951293d1d8b
2 0.0 6e01f13f-7880-4b61-8cd9-4fd7c76ca06a
3 0.0 d2c053c2-b29e-4145-bdeb-7f2530da33c4
4 0.0 2203fb5a-b8d2-4efc-855e-ddde0a699da6
.. ... ...
995 0.0 7bb97c01-39de-4feb-8c27-63e2d19e56e0
996 0.0 f7e47ad5-12d0-44a2-aeb2-c1fbd6115147
997 0.0 2108310e-e76f-4c58-b15f-220f77eb63bb
998 0.0 abbeb8a4-bca9-4ca4-9a89-07afcacda953
999 0.0 ee11ba73-d4bc-4626-95de-bc28c53cdfe3
user_id
0 e500b2b6-c427-471e-bba1-de07b931b28d
1 0aac1730-8e6f-460b-8cff-c5a231b37820
2 16e24997-06ec-4f54-9294-70a03a7cde73
3 6f2c78a8-f47d-41a1-aa6d-44d0e3be357c
4 b9e0d290-ed42-415e-80bc-e51c0a68e8e2
.. ...
995 e66e590d-f545-4d6e-836a-88bcced8f24b
996 624cdce0-4c27-4232-8fe3-af43071a6dfc
997 30e0cb23-9417-4c90-bb07-c4dbb1234493
998 b4b41de5-2839-451c-b7fa-d6185c2b6b35
999 7a3d37ae-f82f-40ae-81f9-14b5e090dfea
[1000 rows x 7 columns]
print(df_US.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 1000 entries, 0 to 999 Data columns (total 7 columns): _id 1000 non-null object rate 1000 non-null int64 created_at 1000 non-null datetime64[ns] updated_at 1000 non-null datetime64[ns] __v 1000 non-null float64 skill_id 1000 non-null object user_id 1000 non-null object dtypes: datetime64[ns](2), float64(1), int64(1), object(3) memory usage: 54.8+ KB None
myCursor9 = job_db.langs.find( {} )
job_db.langs.count_documents({})
10
for document in myCursor9:
print(document)
print(type(document))
{'_id': 'ebac382e-8aaa-45c8-a06b-e36a3988ea59', 'status': 1.0, 'in_app': 'EN', 'title': 'English', 'created_at': datetime.datetime(2011, 10, 18, 5, 42, 55), 'updated_at': datetime.datetime(2011, 2, 25, 18, 54, 47), '__v': 0.0}
<class 'dict'>
{'_id': '54b57bc7-1fac-4442-a2c2-decaf52770ce', 'status': 1.0, 'in_app': 'EN', 'title': 'English', 'created_at': datetime.datetime(2011, 6, 20, 12, 43, 14), 'updated_at': datetime.datetime(2017, 5, 11, 16, 6, 17), '__v': 0.0}
<class 'dict'>
{'_id': 'a15c0555-2cab-4a41-b323-c65ea20b31dd', 'status': 1.0, 'in_app': 'EN', 'title': 'English', 'created_at': datetime.datetime(2016, 2, 21, 6, 33, 14), 'updated_at': datetime.datetime(2017, 6, 8, 0, 43, 12), '__v': 0.0}
<class 'dict'>
{'_id': 'e71b125b-3e1c-4842-b3f6-e2ed27829d06', 'status': 1.0, 'in_app': 'EN', 'title': 'English', 'created_at': datetime.datetime(2018, 1, 10, 18, 40, 44), 'updated_at': datetime.datetime(2012, 3, 16, 13, 8, 2), '__v': 0.0}
<class 'dict'>
{'_id': 'b07ee932-c085-45dd-acad-46bd74a02338', 'status': 1.0, 'in_app': 'EN', 'title': 'English', 'created_at': datetime.datetime(2010, 11, 28, 13, 21, 59), 'updated_at': datetime.datetime(2019, 5, 11, 5, 5, 19), '__v': 0.0}
<class 'dict'>
{'_id': '20675209-8492-4f08-b0a9-7561ad5d91e0', 'status': 1.0, 'in_app': 'EN', 'title': 'English', 'created_at': datetime.datetime(2013, 5, 15, 9, 50, 27), 'updated_at': datetime.datetime(2018, 1, 4, 4, 13, 50), '__v': 0.0}
<class 'dict'>
{'_id': '965db746-8dd7-4eae-99e7-7bbc4e10c309', 'status': 1.0, 'in_app': 'EN', 'title': 'English', 'created_at': datetime.datetime(2019, 1, 1, 15, 2, 1), 'updated_at': datetime.datetime(2018, 3, 15, 3, 24, 8), '__v': 0.0}
<class 'dict'>
{'_id': '79ac5252-3af2-4cdf-b51b-d4b100249477', 'status': 1.0, 'in_app': 'EN', 'title': 'English', 'created_at': datetime.datetime(2016, 10, 7, 14, 49, 44), 'updated_at': datetime.datetime(2018, 2, 15, 20, 48, 19), '__v': 0.0}
<class 'dict'>
{'_id': '03130158-6ecb-4df3-bfcd-45ca7cba570d', 'status': 1.0, 'in_app': 'EN', 'title': 'English', 'created_at': datetime.datetime(2018, 2, 15, 17, 34, 29), 'updated_at': datetime.datetime(2014, 9, 6, 23, 44, 16), '__v': 0.0}
<class 'dict'>
{'_id': '1fa6cf31-ce30-435a-ac5c-69579117954b', 'status': 1.0, 'in_app': 'EN', 'title': 'English', 'created_at': datetime.datetime(2016, 4, 27, 19, 46, 25), 'updated_at': datetime.datetime(2018, 5, 24, 19, 20, 22), '__v': 0.0}
<class 'dict'>
df_LG = DataFrame(list(job_db.langs.find( {} )))
print(df_LG)
_id status in_app title \
0 ebac382e-8aaa-45c8-a06b-e36a3988ea59 1.0 EN English
1 54b57bc7-1fac-4442-a2c2-decaf52770ce 1.0 EN English
2 a15c0555-2cab-4a41-b323-c65ea20b31dd 1.0 EN English
3 e71b125b-3e1c-4842-b3f6-e2ed27829d06 1.0 EN English
4 b07ee932-c085-45dd-acad-46bd74a02338 1.0 EN English
5 20675209-8492-4f08-b0a9-7561ad5d91e0 1.0 EN English
6 965db746-8dd7-4eae-99e7-7bbc4e10c309 1.0 EN English
7 79ac5252-3af2-4cdf-b51b-d4b100249477 1.0 EN English
8 03130158-6ecb-4df3-bfcd-45ca7cba570d 1.0 EN English
9 1fa6cf31-ce30-435a-ac5c-69579117954b 1.0 EN English
created_at updated_at __v
0 2011-10-18 05:42:55 2011-02-25 18:54:47 0.0
1 2011-06-20 12:43:14 2017-05-11 16:06:17 0.0
2 2016-02-21 06:33:14 2017-06-08 00:43:12 0.0
3 2018-01-10 18:40:44 2012-03-16 13:08:02 0.0
4 2010-11-28 13:21:59 2019-05-11 05:05:19 0.0
5 2013-05-15 09:50:27 2018-01-04 04:13:50 0.0
6 2019-01-01 15:02:01 2018-03-15 03:24:08 0.0
7 2016-10-07 14:49:44 2018-02-15 20:48:19 0.0
8 2018-02-15 17:34:29 2014-09-06 23:44:16 0.0
9 2016-04-27 19:46:25 2018-05-24 19:20:22 0.0
print(df_LG.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 10 entries, 0 to 9 Data columns (total 7 columns): _id 10 non-null object status 10 non-null float64 in_app 10 non-null object title 10 non-null object created_at 10 non-null datetime64[ns] updated_at 10 non-null datetime64[ns] __v 10 non-null float64 dtypes: datetime64[ns](2), float64(2), object(3) memory usage: 688.0+ bytes None
myCursor10 = job_db.roles.find( {} )
job_db.roles.count_documents({})
10
for document in myCursor10:
print(document)
print(type(document))
{'_id': 'b1ef616a-ce86-4908-8c69-91d5fdcf31bb', 'created_at': datetime.datetime(2019, 4, 11, 11, 15, 50), 'updated_at': datetime.datetime(2018, 6, 27, 14, 47, 58), '__v': 0.0, 'role_slug': 'admin', 'role_title': 'Admin'}
<class 'dict'>
{'_id': '99deb774-2f18-410e-b5fb-06ff48e15711', 'created_at': datetime.datetime(2012, 8, 26, 16, 39, 30), 'updated_at': datetime.datetime(2018, 7, 14, 3, 50, 29), '__v': 0.0, 'role_slug': 'admin', 'role_title': 'Admin'}
<class 'dict'>
{'_id': '6a433895-bc96-4ba4-8517-3a95af18607d', 'created_at': datetime.datetime(2012, 2, 25, 23, 46, 4), 'updated_at': datetime.datetime(2011, 9, 30, 12, 25, 53), '__v': 0.0, 'role_slug': 'admin', 'role_title': 'Admin'}
<class 'dict'>
{'_id': 'e0dcbffe-cf6b-4983-96f9-fb58195dcd6a', 'created_at': datetime.datetime(2018, 4, 27, 23, 49, 42), 'updated_at': datetime.datetime(2019, 5, 15, 11, 41, 30), '__v': 0.0, 'role_slug': 'admin', 'role_title': 'Admin'}
<class 'dict'>
{'_id': '43360172-c313-4719-8af6-299823a57b0f', 'created_at': datetime.datetime(2019, 11, 2, 19, 52, 36), 'updated_at': datetime.datetime(2012, 4, 30, 22, 22, 7), '__v': 0.0, 'role_slug': 'admin', 'role_title': 'Admin'}
<class 'dict'>
{'_id': 'd2f21b31-53ce-47b3-b3d1-70e4f65c6d07', 'created_at': datetime.datetime(2011, 5, 2, 11, 45, 7), 'updated_at': datetime.datetime(2010, 6, 2, 1, 22, 21), '__v': 0.0, 'role_slug': 'admin', 'role_title': 'Admin'}
<class 'dict'>
{'_id': 'bd3005cb-0347-4aa7-aa64-8a5bc7c901f6', 'created_at': datetime.datetime(2018, 12, 6, 4, 30, 41), 'updated_at': datetime.datetime(2011, 10, 25, 11, 26, 14), '__v': 0.0, 'role_slug': 'admin', 'role_title': 'Admin'}
<class 'dict'>
{'_id': '1e3d8c46-3858-414c-b867-0a066332c46d', 'created_at': datetime.datetime(2014, 2, 23, 5, 28, 5), 'updated_at': datetime.datetime(2013, 8, 1, 20, 43, 45), '__v': 0.0, 'role_slug': 'admin', 'role_title': 'Admin'}
<class 'dict'>
{'_id': 'a6719445-0ca3-4928-93bb-d9ad3c84300d', 'created_at': datetime.datetime(2015, 9, 11, 0, 44, 35), 'updated_at': datetime.datetime(2012, 1, 7, 5, 21, 29), '__v': 0.0, 'role_slug': 'admin', 'role_title': 'Admin'}
<class 'dict'>
{'_id': '319fb6a5-b177-432a-8b9e-6434894d2445', 'created_at': datetime.datetime(2013, 7, 9, 6, 17, 53), 'updated_at': datetime.datetime(2016, 4, 27, 21, 43, 33), '__v': 0.0, 'role_slug': 'admin', 'role_title': 'Admin'}
<class 'dict'>
df_RL = DataFrame(list(job_db.roles.find( {} )))
print(df_RL)
_id created_at \
0 b1ef616a-ce86-4908-8c69-91d5fdcf31bb 2019-04-11 11:15:50
1 99deb774-2f18-410e-b5fb-06ff48e15711 2012-08-26 16:39:30
2 6a433895-bc96-4ba4-8517-3a95af18607d 2012-02-25 23:46:04
3 e0dcbffe-cf6b-4983-96f9-fb58195dcd6a 2018-04-27 23:49:42
4 43360172-c313-4719-8af6-299823a57b0f 2019-11-02 19:52:36
5 d2f21b31-53ce-47b3-b3d1-70e4f65c6d07 2011-05-02 11:45:07
6 bd3005cb-0347-4aa7-aa64-8a5bc7c901f6 2018-12-06 04:30:41
7 1e3d8c46-3858-414c-b867-0a066332c46d 2014-02-23 05:28:05
8 a6719445-0ca3-4928-93bb-d9ad3c84300d 2015-09-11 00:44:35
9 319fb6a5-b177-432a-8b9e-6434894d2445 2013-07-09 06:17:53
updated_at __v role_slug role_title
0 2018-06-27 14:47:58 0.0 admin Admin
1 2018-07-14 03:50:29 0.0 admin Admin
2 2011-09-30 12:25:53 0.0 admin Admin
3 2019-05-15 11:41:30 0.0 admin Admin
4 2012-04-30 22:22:07 0.0 admin Admin
5 2010-06-02 01:22:21 0.0 admin Admin
6 2011-10-25 11:26:14 0.0 admin Admin
7 2013-08-01 20:43:45 0.0 admin Admin
8 2012-01-07 05:21:29 0.0 admin Admin
9 2016-04-27 21:43:33 0.0 admin Admin
print(df_RL.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 10 entries, 0 to 9 Data columns (total 6 columns): _id 10 non-null object created_at 10 non-null datetime64[ns] updated_at 10 non-null datetime64[ns] __v 10 non-null float64 role_slug 10 non-null object role_title 10 non-null object dtypes: datetime64[ns](2), float64(1), object(3) memory usage: 608.0+ bytes None
myCursor11 = job_db.users.find( {} )
job_db.users.count_documents({})
10000
for document in myCursor11:
print(document)
print(type(document))
{'_id': 'e500b2b6-c427-471e-bba1-de07b931b28d', 'role_id': 'b1ef616a-ce86-4908-8c69-91d5fdcf31bb', 'email': 'alexzander@kozey.info', 'salt': '32af86b5-c065-4262-aec0-75dc7bb215e9', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Colleen', 'password': '9187f933-8ff3-4d97-9b1f-1551b9f0ed23', 'dob': '1985-09-01', 'rate': 4, 'last_name': 'Predovic', 'country_code': '+1', 'created_at': datetime.datetime(2019, 4, 11, 11, 15, 50), 'updated_at': datetime.datetime(2018, 6, 27, 14, 47, 58), 'mobile_no': '562-246-7846 x573', 'address': '005 Felicita Hill', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': '0aac1730-8e6f-460b-8cff-c5a231b37820', 'role_id': '99deb774-2f18-410e-b5fb-06ff48e15711', 'email': 'shanny@pfeffer.net', 'salt': '92d465ab-b54a-4dee-ade3-e452284ba441', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Mortimer', 'password': '48206513-391e-4a23-96f0-d7e266f5ce7e', 'dob': '1985-09-01', 'rate': 2, 'last_name': 'Nienow', 'country_code': '+1', 'created_at': datetime.datetime(2012, 8, 26, 16, 39, 30), 'updated_at': datetime.datetime(2018, 7, 14, 3, 50, 29), 'mobile_no': '248.022.5205 x107', 'address': '655 Ondricka Stravenue', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': '16e24997-06ec-4f54-9294-70a03a7cde73', 'role_id': '6a433895-bc96-4ba4-8517-3a95af18607d', 'email': 'johnnie.mosciski@cartwright.biz', 'salt': '995b5169-45fa-48ae-9f62-86c0eb9d022d', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Thea', 'password': 'beeffab3-6ca0-4ac8-970c-0dcdc527f121', 'dob': '1985-09-01', 'rate': 1, 'last_name': 'Auer', 'country_code': '+1', 'created_at': datetime.datetime(2012, 2, 25, 23, 46, 4), 'updated_at': datetime.datetime(2011, 9, 30, 12, 25, 53), 'mobile_no': '716.346.5538', 'address': '446 Casper Cove', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': '6f2c78a8-f47d-41a1-aa6d-44d0e3be357c', 'role_id': 'e0dcbffe-cf6b-4983-96f9-fb58195dcd6a', 'email': 'eden@aufderhar.com', 'salt': 'e730b00d-fa74-4dc5-8a10-55a6c61e34e0', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Eliezer', 'password': '3078ae1c-ee11-4f29-85c7-b3687369bfff', 'dob': '1985-09-01', 'rate': 5, 'last_name': 'Williamson', 'country_code': '+1', 'created_at': datetime.datetime(2018, 4, 27, 23, 49, 42), 'updated_at': datetime.datetime(2019, 5, 15, 11, 41, 30), 'mobile_no': '(673)074-1010 x71130', 'address': '041 Tillman Key', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': 'b9e0d290-ed42-415e-80bc-e51c0a68e8e2', 'role_id': '43360172-c313-4719-8af6-299823a57b0f', 'email': 'adeline@smitham.biz', 'salt': 'b0f49617-25b4-4e1b-80e8-c965b1148c06', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Estefania', 'password': 'ed41cc79-cfc1-479a-a02c-e515bd237936', 'dob': '1985-09-01', 'rate': 3, 'last_name': 'Olson', 'country_code': '+1', 'created_at': datetime.datetime(2019, 11, 2, 19, 52, 36), 'updated_at': datetime.datetime(2012, 4, 30, 22, 22, 7), 'mobile_no': '1-706-478-3758 x633', 'address': '121 Predovic Lake', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
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{'_id': '6fae40e4-b1c5-49ea-bdde-0b8fb3ecd132', 'role_id': '6a433895-bc96-4ba4-8517-3a95af18607d', 'email': 'tillman.nikolaus@huels.biz', 'salt': '3664d611-62f3-474e-b260-036e9d84dc0c', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Annabell', 'password': 'f13f1c8b-3912-47b8-9b7a-f61d9c4c9e1b', 'dob': '1985-09-01', 'rate': 1, 'last_name': "O'Conner", 'country_code': '+1', 'created_at': datetime.datetime(2015, 2, 5, 18, 43, 17), 'updated_at': datetime.datetime(2010, 4, 30, 22, 44, 7), 'mobile_no': '(658)036-7205', 'address': '6773 Gutkowski Islands', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': 'e4960010-010b-4158-927d-53cdc9715300', 'role_id': 'e0dcbffe-cf6b-4983-96f9-fb58195dcd6a', 'email': 'sister@trantow.name', 'salt': '76541f99-d3f2-47c1-8ec6-51ec8c8b5407', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Ali', 'password': '1819903a-3c1e-4d42-ac4d-35096c870d4e', 'dob': '1985-09-01', 'rate': 3, 'last_name': 'Carroll', 'country_code': '+1', 'created_at': datetime.datetime(2019, 8, 28, 12, 33, 8), 'updated_at': datetime.datetime(2011, 11, 26, 13, 34, 32), 'mobile_no': '222-048-5107 x655', 'address': '2775 Paucek Terrace', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': '2be51153-3e33-4484-b53b-68d74ef39e2d', 'role_id': '43360172-c313-4719-8af6-299823a57b0f', 'email': 'ferne@dickinson.com', 'salt': 'ebbce968-82d4-44d8-812e-dfb4fd07b6cc', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Mabel', 'password': '09e7d7a2-a4d5-4919-b454-8878925be8eb', 'dob': '1985-09-01', 'rate': 3, 'last_name': 'Sauer', 'country_code': '+1', 'created_at': datetime.datetime(2014, 10, 29, 5, 14, 1), 'updated_at': datetime.datetime(2010, 6, 10, 20, 16, 28), 'mobile_no': '1-760-835-0508', 'address': '2145 Weissnat Islands', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': '584ff927-87ca-4fb3-93b4-ed50493a613c', 'role_id': 'd2f21b31-53ce-47b3-b3d1-70e4f65c6d07', 'email': 'brooke@murphy.name', 'salt': 'd27f9a48-f1c2-4f09-9615-e91a75951e9e', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Pietro', 'password': '41044230-d32f-4dc8-90e2-a6027b482ff6', 'dob': '1985-09-01', 'rate': 4, 'last_name': 'Buckridge', 'country_code': '+1', 'created_at': datetime.datetime(2019, 7, 18, 14, 22, 12), 'updated_at': datetime.datetime(2018, 12, 10, 19, 30, 30), 'mobile_no': '448-210-4445 x53570', 'address': '68726 Brayan Vista', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': 'e81e9383-7d55-4307-8aab-08bfe1f6479d', 'role_id': 'bd3005cb-0347-4aa7-aa64-8a5bc7c901f6', 'email': 'isai@kutch.net', 'salt': '2740e461-9ff3-41ba-8024-5f77018a30be', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Samantha', 'password': '57bf05fd-1a5a-4c93-b6e6-9f1b77e47976', 'dob': '1985-09-01', 'rate': 4, 'last_name': 'Howell', 'country_code': '+1', 'created_at': datetime.datetime(2014, 2, 2, 10, 5, 8), 'updated_at': datetime.datetime(2014, 5, 8, 1, 11, 54), 'mobile_no': '(748)834-4224 x684', 'address': '235 Peyton Valley', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': 'bb284869-4dc3-4079-a354-01f4e311673a', 'role_id': '1e3d8c46-3858-414c-b867-0a066332c46d', 'email': 'ava.gottlieb@rolfson.info', 'salt': '20c1f192-f9bc-4f9c-9be9-db4b11c69d6d', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Edison', 'password': 'adf9274d-418f-4b36-952e-65c0af1f1989', 'dob': '1985-09-01', 'rate': 4, 'last_name': 'Pfannerstill', 'country_code': '+1', 'created_at': datetime.datetime(2011, 3, 10, 2, 12, 27), 'updated_at': datetime.datetime(2015, 3, 22, 18, 49, 3), 'mobile_no': '331-253-5348', 'address': '5847 Hermiston Mall', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': '9431a1b4-84f8-4d1c-b004-15ac28e4b01c', 'role_id': 'a6719445-0ca3-4928-93bb-d9ad3c84300d', 'email': 'ettie@schmelerchristiansen.biz', 'salt': '395e2506-350e-4611-bcd5-34eb5fd459c0', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Aditya', 'password': '2ecbaa02-9f83-4cf7-8ede-ba0a42be81d8', 'dob': '1985-09-01', 'rate': 4, 'last_name': 'Haley', 'country_code': '+1', 'created_at': datetime.datetime(2019, 10, 3, 15, 56, 10), 'updated_at': datetime.datetime(2014, 10, 31, 18, 20, 6), 'mobile_no': '(348)874-4553 x21066', 'address': '03483 Legros Coves', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': '2a368f60-0995-4910-af04-2b37636ea091', 'role_id': '319fb6a5-b177-432a-8b9e-6434894d2445', 'email': 'alanis_mante@dibbertbeier.biz', 'salt': 'f4979ba4-f559-4d47-b8f0-fe9f77a584ec', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Hailee', 'password': 'bdc77833-efbb-4cc3-b226-5c71e6d323dc', 'dob': '1985-09-01', 'rate': 2, 'last_name': 'McDermott', 'country_code': '+1', 'created_at': datetime.datetime(2016, 3, 1, 23, 43, 56), 'updated_at': datetime.datetime(2018, 3, 1, 9, 15, 57), 'mobile_no': '631-808-8586 x017', 'address': '6865 Odessa Turnpike', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': '65857672-a56b-475a-8f84-c33fe500fb3b', 'role_id': 'b1ef616a-ce86-4908-8c69-91d5fdcf31bb', 'email': 'jay@hyatt.com', 'salt': '76b3c335-928a-40ee-bf98-c1a0af846cb1', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Reid', 'password': '60964fd7-d35d-4eb1-85be-da01f22960dd', 'dob': '1985-09-01', 'rate': 1, 'last_name': 'Kuphal', 'country_code': '+1', 'created_at': datetime.datetime(2017, 3, 10, 12, 25, 14), 'updated_at': datetime.datetime(2017, 10, 11, 13, 57, 17), 'mobile_no': '1-538-514-7354', 'address': '48828 Isaias Pike', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': 'b40ef307-c45b-4514-b033-4503587402b0', 'role_id': '99deb774-2f18-410e-b5fb-06ff48e15711', 'email': 'edyth@lowe.net', 'salt': '33027563-6fd1-4844-b68a-19d3990170bf', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Laurine', 'password': '5e5ead38-2ae5-4956-9cd6-9c5e15d0d3a4', 'dob': '1985-09-01', 'rate': 1, 'last_name': 'Okuneva', 'country_code': '+1', 'created_at': datetime.datetime(2011, 3, 3, 0, 19, 26), 'updated_at': datetime.datetime(2019, 10, 26, 18, 17, 56), 'mobile_no': '(238)160-6816 x56676', 'address': '31238 Adeline Meadow', 'lat': '49.781811', 'long': '-74.854492'}
<class 'dict'>
{'_id': '9b974b0d-dda2-42a9-864a-44c11ed3b950', 'role_id': '6a433895-bc96-4ba4-8517-3a95af18607d', 'email': 'alisa.wolff@schmeler.info', 'salt': '7e3a3300-cd08-4183-9b1c-215cecc37f8d', 'ip_address': '10.32.12.213', '__v': 0.0, 'status': 1.0, 'first_name': 'Kaylee', 'password': '5453dc04-1eb4-48ea-b29f-c33b3ee87b8a', 'dob': '1985-09-01', 'rate': 3, 'last_name': 'Veum', 'country_code': '+1', 'created_at': datetime.datetime(2011, 6, 26, 13, 5, 19), 'updated_at': datetime.datetime(2015, 8, 26, 22, 30, 20), 'mobile_no': '(282)667-6474', 'address': '237 Gene Manor', 'lat': '49.781811', 'long': '-74.854492'}
IOPub data rate exceeded. The notebook server will temporarily stop sending output to the client in order to avoid crashing it. To change this limit, set the config variable `--NotebookApp.iopub_data_rate_limit`. Current values: NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec) NotebookApp.rate_limit_window=3.0 (secs)
df_U = DataFrame(list(job_db.users.find( {} )))
print(df_U)
_id \
0 e500b2b6-c427-471e-bba1-de07b931b28d
1 0aac1730-8e6f-460b-8cff-c5a231b37820
2 16e24997-06ec-4f54-9294-70a03a7cde73
3 6f2c78a8-f47d-41a1-aa6d-44d0e3be357c
4 b9e0d290-ed42-415e-80bc-e51c0a68e8e2
... ...
9995 5f73a995-f793-4f5f-b20f-cd666d802618
9996 5c608713-0134-4a82-a906-1aa1de1f903b
9997 9c0a094e-ac4b-4d30-80d1-bb313d2f0172
9998 7e158b34-0160-40d3-98e8-e6938dc1af26
9999 0028f2de-7824-4589-a3aa-df13ea63a8cf
role_id email \
0 b1ef616a-ce86-4908-8c69-91d5fdcf31bb alexzander@kozey.info
1 99deb774-2f18-410e-b5fb-06ff48e15711 shanny@pfeffer.net
2 6a433895-bc96-4ba4-8517-3a95af18607d johnnie.mosciski@cartwright.biz
3 e0dcbffe-cf6b-4983-96f9-fb58195dcd6a eden@aufderhar.com
4 43360172-c313-4719-8af6-299823a57b0f adeline@smitham.biz
... ... ...
9995 d2f21b31-53ce-47b3-b3d1-70e4f65c6d07 santiago@gleason.com
9996 bd3005cb-0347-4aa7-aa64-8a5bc7c901f6 lloyd@keeling.name
9997 1e3d8c46-3858-414c-b867-0a066332c46d jaleel@emard.com
9998 a6719445-0ca3-4928-93bb-d9ad3c84300d lea@schmeler.net
9999 319fb6a5-b177-432a-8b9e-6434894d2445 leland@zboncak.biz
salt ip_address __v status \
0 32af86b5-c065-4262-aec0-75dc7bb215e9 10.32.12.213 0.0 1.0
1 92d465ab-b54a-4dee-ade3-e452284ba441 10.32.12.213 0.0 1.0
2 995b5169-45fa-48ae-9f62-86c0eb9d022d 10.32.12.213 0.0 1.0
3 e730b00d-fa74-4dc5-8a10-55a6c61e34e0 10.32.12.213 0.0 1.0
4 b0f49617-25b4-4e1b-80e8-c965b1148c06 10.32.12.213 0.0 1.0
... ... ... ... ...
9995 c2518137-9d4b-4b5b-b76e-75c6bb2a86d9 10.32.12.213 0.0 1.0
9996 4cc1bfbb-f149-46e5-8971-e0231d185bbc 10.32.12.213 0.0 1.0
9997 72302eab-f0a9-4b1d-89d7-ee436e25af3c 10.32.12.213 0.0 1.0
9998 2486fb01-d1af-4377-ad0b-9f08ebd3d150 10.32.12.213 0.0 1.0
9999 ead565ec-f550-46bd-a1fc-d7862cb06c68 10.32.12.213 0.0 1.0
first_name password dob rate \
0 Colleen 9187f933-8ff3-4d97-9b1f-1551b9f0ed23 1985-09-01 4
1 Mortimer 48206513-391e-4a23-96f0-d7e266f5ce7e 1985-09-01 2
2 Thea beeffab3-6ca0-4ac8-970c-0dcdc527f121 1985-09-01 1
3 Eliezer 3078ae1c-ee11-4f29-85c7-b3687369bfff 1985-09-01 5
4 Estefania ed41cc79-cfc1-479a-a02c-e515bd237936 1985-09-01 3
... ... ... ... ...
9995 Tressie 94be8ec2-1ff4-4f47-866b-9162c95973ac 1985-09-01 5
9996 Vaughn eea8e471-9574-4629-a115-7d971f080acb 1985-09-01 3
9997 Bethany 2e5b5c70-5667-44cf-97b1-08d3a4ec43d1 1985-09-01 2
9998 Ike ab7f2ed0-b4f1-41bf-aee0-e5d180769547 1985-09-01 2
9999 Orin c2d5d42f-ba64-4498-be91-6eaca77d2b98 1985-09-01 1
last_name country_code created_at updated_at \
0 Predovic +1 2019-04-11 11:15:50 2018-06-27 14:47:58
1 Nienow +1 2012-08-26 16:39:30 2018-07-14 03:50:29
2 Auer +1 2012-02-25 23:46:04 2011-09-30 12:25:53
3 Williamson +1 2018-04-27 23:49:42 2019-05-15 11:41:30
4 Olson +1 2019-11-02 19:52:36 2012-04-30 22:22:07
... ... ... ... ...
9995 Hansen +1 2011-06-10 15:44:25 2013-01-05 07:28:45
9996 Prohaska +1 2016-05-25 20:51:20 2012-08-21 16:09:02
9997 Walter +1 2014-10-10 11:49:27 2013-08-19 05:02:41
9998 Mills +1 2018-07-15 07:06:06 2010-10-24 10:30:33
9999 Heaney +1 2015-02-16 10:10:53 2019-05-06 14:16:37
mobile_no address lat long
0 562-246-7846 x573 005 Felicita Hill 49.781811 -74.854492
1 248.022.5205 x107 655 Ondricka Stravenue 49.781811 -74.854492
2 716.346.5538 446 Casper Cove 49.781811 -74.854492
3 (673)074-1010 x71130 041 Tillman Key 49.781811 -74.854492
4 1-706-478-3758 x633 121 Predovic Lake 49.781811 -74.854492
... ... ... ... ...
9995 1-506-414-8630 x6860 85663 Quigley Forest 49.781811 -74.854492
9996 001.520.5608 4484 Annamarie Station 49.781811 -74.854492
9997 344.134.4732 x022 57178 Everette Light 49.781811 -74.854492
9998 535-343-0105 x3873 6558 Graham Mission 49.781811 -74.854492
9999 1-876-451-1270 x525 2867 Sheldon Track 49.781811 -74.854492
[10000 rows x 19 columns]
print(df_U.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 10000 entries, 0 to 9999 Data columns (total 19 columns): _id 10000 non-null object role_id 10000 non-null object email 10000 non-null object salt 10000 non-null object ip_address 10000 non-null object __v 10000 non-null float64 status 10000 non-null float64 first_name 10000 non-null object password 10000 non-null object dob 10000 non-null object rate 10000 non-null int64 last_name 10000 non-null object country_code 10000 non-null object created_at 10000 non-null datetime64[ns] updated_at 10000 non-null datetime64[ns] mobile_no 10000 non-null object address 10000 non-null object lat 10000 non-null object long 10000 non-null object dtypes: datetime64[ns](2), float64(2), int64(1), object(14) memory usage: 1.4+ MB None